Thinks 1487

Semi Analysis: “The reality is that there are more dimensions for scaling beyond simply focusing on pre-training, which has been the sole focus of most of the part-time prognosticators. OpenAI’s o1 release has proved the utility and potential of reasoning models, opening a new unexplored dimension for scaling. This is not the only technique, however, that delivers meaningful improvements in model performance as compute is scaled up. Other areas that deliver model improvements with more compute include Synthetic Data Generation, Proximal Policy Optimization (PPO), Functional Verifiers, and other training infrastructure for reasoning. The sands of scaling are still shifting and evolving, and, with it, the entire AI development process has continued to accelerate. Shifting from faulty benchmarks to more challenging ones will enable better measures of progress. In this report we will outline the old pre-training scaling trend as well as the new scaling trends for post-training and inference time. This includes how new methods will push the frontier – and will require even more training time compute scaling then thought before.”

WSJ: ““Long thinking” didn’t make it into the zeitgeist when OpenAI’s ChatGPT first stunned the world two years ago with rapid replies to questions about almost anything. But it has the potential to reduce or eliminate the errors that frequently peppered those responses. The idea is just what it sounds like, at least at the highest level: Long-thinking AI models are designed to take more time to “think over” the results they generate for us. They will be intelligent enough to give us updates on their progress and ask us for feedback along the way. That can mean spending a few more seconds on a problem—or much, much longer, as Huang indicated in another telling remark last June…As the models’ reasoning ability develops, AI is expected to evolve far beyond the current tech that works on our behalf in customer service or automation, or the even more sophisticated agents that are just beginning to appear.”

NYTimes: “Claude, a creation of the artificial intelligence company Anthropic, is not the best-known A.I. chatbot on the market. (That would be OpenAI’s ChatGPT, which has more than 300 million weekly users and a spot in the bookmark bar of every high school student in America.) It’s also not designed to draw users into relationships with lifelike A.I. companions, the way apps like Character.AI and Replika are. But Claude has become the chatbot of choice for a crowd of savvy tech insiders who say it’s helping them with everything from legal advice to health coaching to makeshift therapy sessions. “Some mix of raw intellectual horsepower and willingness to express opinions makes Claude feel much closer to a thing than a tool,” said Aidan McLaughlin, the chief executive of Topology Research, an A.I. start-up. “I, and many other users, find that magical.””

Tae Kim, author of “The Nvidia Way”: “Two important lessons from the book are: mission is the boss and speed of light. Mission is the boss means making the right decision for the company and the customer—not what’s good for your boss’s boss. In corporate America, a huge percentage of time—30 to 50 percent—is spent doing things that don’t help the end customer but instead make your boss look good to their boss. Minimizing that and focusing on the mission, not someone’s bonus, is critical. Speed of light means working with extreme speed and velocity. At most companies, when you do a project, you have KPIs, and you might say, “I did 10 percent better than last time” or “We’re 10 percent better than the competitor.” If you said that at NVIDIA, you’d get dressed down. They don’t care about what you did last time or how you compare to competitors. They care about what’s physically possible. If everything were perfect—no queues, no lag—what’s the absolute limit of physics?”

Walter Lippmann (1937): “Thus it has come about that under gradual collectivism the struggle for power has become ever more intense. As men learn that their fortunes depend increasingly upon their political position, the control of the authority of the state becomes a prize of infinite value.” [via Cafe Hayek]

Thinks 1486

FT: “Scientists have raised the alarm about the potentially existential threat of “mirror life” — manufactured bacteria that are structural reflections of natural microbes and could overwhelm the defences of people, other animals and plants. An international group of almost 40 researchers, including two Nobel laureates, warned on Thursday that such synthetic organisms might “pose unprecedented and largely overlooked risks to much of existing life”. The stark message highlights how advances in synthetic biology that have helped drive big health breakthroughs could one day have the capacity to generate deadly new organisms by accident or design.”

WSJ: “Companies that succeed with modern generative AI tools…or offerings from a raft of new startups…are discovering that in order to get real value from AI, they have to organize their data in ways they might not have before. And this isn’t a one-and-done effort. To keep their shiny new AIs up-to-date, the information they feed them must be kept constantly updated—creating more work for humans…Every company I talked with mentioned that to get real value out of their shiny new generative AI systems—no matter the application—they needed to overhaul or double down on their strategy for feeding it the kind of data that today’s AI excels at processing—“unstructured” data. About 90% of the data most companies have is this kind of data—not numerical, not in a spreadsheet, but in the form of documents, emails, manuals, customer-service chats, contracts and the like. And the real value of today’s generative AI for companies is in unlocking it. Think of it as centralizing all the know-how that is typically spread out across the brains and storage accounts of all the humans in an organization. Making all of that information and knowledge available to everyone else in an organization has long been the dream of corporate IT—and generative AI can get companies one step closer to it.”

Jaspreet Bindra: “The pre-internet customer, who I call the industrial customer, gave way to the digital customer as Instagram, Google and other apps started dominating their lives. Now the digital customer will give way to the AI customer, as ChatGPT and other AI tools and agents inveigle themselves into our lives. The industrial customer had limited and standardized choice, while the digital one reckoned with the abundant variety that Amazon threw open. The AI customer’s choice will be infinite and hyper-personalized, as agents scour the internet to find what she wants based on her innate preferences. Interaction with products was transactional and local for the industrial customer, while it’s social and omnichannel for the digital one; for the AI customer, chatbots will make this interaction conversational (as with another human) and digitally immersive as companies like Meta infuse AI into our visual and tactile environments.”

WSJ: “Madison Avenue has been rapidly changing for over a decade, but the threats to an industry once centered on creatives have never been so great. Tech giants control more than half of the $1 trillion ad market, and quants armed with reams of data direct ad buying. Now, generative artificial intelligence is sending shock waves through the marketing world, promising to create and personalize ads cheaper and faster than ever.”

Business Standard has a review of Kevin Rudd’s book “On Xi Jinping”: “The major theme of the book is that Xi has abandoned Deng Xiaoping’s dictum to “hide the strength, and bide the time”. Under Xi, China is ready to flex its muscles. The primary argument is that China under Xi is moving left on the economy and right on foreign policy. The author calls this “Xi’s Marxist Nationalism”. The clampdown on the private sector has been the norm under Xi, who perceives its existence as an aberration to CPC tenets. The trend is towards the “contraction of the private sphere and expansion of the public sphere controlled by the party”. When it comes to domestic policy, the posturing is closely dependent on nationalism. This is apparent with the rise of “wolf warrior” diplomacy. These two trends are crucial because Xi does not want the Chinese state to become a challenger to the “political and operational primacy of a Leninist Party”. The Leninist Party is the soul of China and being “red’ is mandatory. No surprises that Xi has executed the longest anti-corruption drive in the CPC’s history, with the projected goal of preserving the party’s sanctity.”

NEON: Breaking Free from Big AdTech with an Open Collaborative Network

Published January 25, 2025

1

Customer Outreach – 1

Brands face a fundamental challenge in effectively reaching their existing customers. In an increasingly competitive landscape, where customer retention and engagement are critical to profitability, brands often rely on several mechanisms for outreach. Here is a list of ten that I came up with, working with ChatGPT and Claude.

  1. Push Channels
  2. Organic Customer Action
  3. Paid Channels
  4. Social Media
  5. Loyalty and Membership Programs
  6. Word of Mouth and Referrals
  7. Partnerships and Affiliates
  8. Content Marketing
  9. Events and Community Engagement
  10. Search Engine Optimisation (SEO)

While each has its merits, they also come with significant limitations that make it difficult to achieve meaningful, scalable, and sustainable engagement. Below is an assessment of each of these methods.

  1. Push Channels: Direct Outreach via Emails, SMS, RCS, WhatsApp, Notifications, and In-App Messaging/Web Push Notifications

Push channels allow brands to target specific customers with personalised messages. They are often used for promotions, updates, or transactional communications.

Strengths:

  • Direct Targeting: Messages can be tailored to individual customer preferences and behaviours.
  • Multi-Channel Options: Brands can use multiple formats, increasing the likelihood of engagement.
  • Immediate, Contextual, Personalized: In-app messaging and web push notifications deliver timely and relevant content directly within the user experience.

Problems:

  • Inbox Overload: Customers are bombarded with messages daily, leading to lower open rates and engagement.
  • One-Way Communication: Most push messages are non-interactive and do not foster meaningful conversations.
  • Spam Risk: Poorly targeted or excessive messaging can annoy customers, leading to unsubscribes or spam complaints.
  • Fragmentation: Managing multiple channels (email, SMS, WhatsApp) requires significant coordination and resources.
  • Opt-In Requirements: In-app messaging and web push notifications rely on app installation or web opt-ins, which can limit reach.
  • Ease of Disabling: Users can quickly disable notifications, reducing long-term effectiveness.
  1. Organic Customer Action: Customers Coming to Brand Properties

This is the ideal scenario: customers visit a brand’s website or app proactively, seeking information or making a purchase. It requires no immediate action from the brand and relies entirely on customer memory and intent.

Strengths:

  • Effortless for Brands: Requires no active outreach.
  • High Intent: Customers visiting voluntarily are more likely to convert.

Problems:

  • Passive Dependence: The brand has no control over when or if a customer will return.
  • Low Engagement: Customers may forget about the brand amidst competing priorities and distractions.
  • Missed Opportunities: Without proactive engagement, brands lose the chance to upsell, cross-sell, or deepen relationships at key moments.
  1. Paid Channels: Ads on Google, Meta, and Other Platforms

Paid advertising remains a dominant strategy for customer outreach, allowing brands to reach specific audiences through targeted campaigns.

Strengths:

  • Scalable: Paid ads can reach millions of users quickly.
  • Precise Targeting: Platforms offer advanced targeting options.

Problems:

  • High Costs: Customer Acquisition Costs (CAC) continue to rise, making it expensive to reach even existing customers.
  • AdWaste: Brands often pay to reacquire customers they already have, leading to inefficiencies.
  • Lack of Ownership: Brands are dependent on external platforms, which control the customer data and interaction.
  • Privacy Concerns: Customers are increasingly wary of ads driven by invasive tracking and third-party cookies.
  1. Social Media: Engagement via Platforms like Instagram, X, TikTok, and Others

Social media platforms provide a way to engage customers in public or semi-private spaces, often through posts, stories, or direct messages.

Strengths:

  • Broad Reach: Social platforms have massive user bases.
  • Content Versatility: Brands can use a mix of text, images, and videos.

Problems:

  • Limited Targeting: While some targeting options exist, social media primarily serves broader audiences rather than specific customers.
  • Algorithm Dependency: Brands are at the mercy of platform algorithms, which determine how many followers see their content.
  • Ephemeral Impact: Social media posts have a short lifespan, often disappearing from customer feeds within hours.
  • Costly to Scale: Running effective campaigns requires continuous investment in content creation and promotion.
  1. Loyalty and Membership Programs

Brands use rewards and incentives to retain and reactivate existing customers, often tying these to ongoing purchases or engagement.

Strengths:

  • Retention-Driven: Encourages repeat purchases and brand loyalty.
  • Customisable: Programs can be tailored to specific customer needs.

Problems:

  • Engagement Plateau: Many loyalty programs fail to sustain interest after the initial excitement.
  • Low Differentiation: Customers often see loyalty programs as generic and transactional.
  • Complexity: Managing and scaling a loyalty program can be resource-intensive.

2

Customer Outreach – 2

  1. Word of Mouth and Referrals

Customers recommend the brand to others organically or through structured referral programs. This can include friends, family, or colleagues sharing their experiences.

Strengths:

  • Highly Trusted: Recommendations from peers carry significant credibility.
  • Low Cost: Organic referrals often require minimal investment.

Problems:

  • Unpredictable: Difficult to scale or control as it relies on customer goodwill.
  • Limited Reach: Only as effective as the size and engagement of the customer base.
  • Dependent on Incentives: Structured referral programs often require discounts or rewards, cutting into margins.
  1. Partnerships and Affiliates

Brands collaborate with affiliate marketers, influencers, or complementary businesses to reach their customers.

Strengths:

  • Access to New Audiences: Partners can extend a brand’s reach.
  • Performance-Based: Affiliates often earn based on results, aligning incentives.

Problems:

  • Variable Quality: Results depend heavily on the quality of the partner and their audience.
  • Costly: Affiliate fees or influencer payments can quickly escalate.
  • Lack of Direct Control: The partner owns the relationship with their audience, not the brand.
  1. Content Marketing

Brands create valuable content (blogs, videos, podcasts, guides) to educate and engage customers.

Strengths:

  • Builds Trust: Positions the brand as an expert.
  • SEO Benefits: Generates organic inbound traffic over time.

Problems:

  • Slow Burn: Takes time to generate results and impact ROI.
  • Limited Reach: Content needs strong distribution strategies to reach existing customers.
  • Effort-Intensive: Requires consistent production and high-quality content to maintain relevance.
  1. Events and Community Engagement

Brands organise events (physical or virtual) or build communities around their products or values.

Strengths:

  • Personal Touch: Creates direct, memorable interactions.
  • Brand Loyalty: Strengthens emotional connections.

Problems:

  • High Effort and Cost: Events require significant planning and resources.
  • Limited Scalability: Events and communities often engage only a subset of the customer base.
  • Retention Risks: Sustaining interest in a community over time can be challenging.
  1. Search Engine Optimisation (SEO)

Optimising a brand’s website to appear in organic search results, enabling customers to find the brand easily when they search for relevant topics or products.

Strengths:

  • Evergreen Traffic: A well-optimised website can drive traffic for years.
  • Cost-Effective: Once established, SEO is cheaper than paid ads.

Problems:

  • Competitive Landscape: Requires constant updates to stay ahead in search rankings.
  • Indirect for Existing Customers: Primarily useful for new acquisition, not targeted outreach to existing customers.

**

These mechanisms illustrate a fundamental paradox in modern marketing: despite having more ways than ever to reach customers, brands struggle to create meaningful, sustainable engagement. The most direct channels suffer from overuse and fatigue, while broader methods lack precision and control. Most troublingly, brands often find themselves paying premium prices through adtech platforms just to reach customers already in their databases.

What’s needed isn’t another channel or tool, but a fundamental reimagining of how brands connect with their customers. NEON (New Engaged and Open Network) provides this breakthrough: an open network where brands can collaborate directly to engage identified customers through authenticated identity rather than anonymous tracking. By enabling brands to act as both publishers and advertisers within a decentralized ecosystem, NEON eliminates the massive waste in today’s digital advertising while creating new opportunities for sustainable, profitable customer engagement.

The future of customer outreach isn’t about finding better ways to interrupt people’s attention—it’s about creating an ecosystem where every interaction delivers genuine value for brands and customers alike. NEON makes this possible by transforming fragmented customer touchpoints into an integrated engagement network built on trust, transparency, and direct relationships.

[Note: In my previous essays – Inbox to Income: BEAN for Revenue and Reactivation and  How BEAM and BEAN can Fashion a New Email Era, I introduced the concept of BEAN (Brand Email Ad Network). I have now evolved this to NEON to better reflect its broader scope and potential. While email remains a crucial engagement channel through NeoMails, NEON’s vision extends beyond email to encompass all authenticated customer interactions. This name change represents not just a rebranding, but a recognition of the platform’s true power: enabling brands to collaborate through any channel where they can verify customer identity.]

3

Previous Writings – 1

Before we get to discussing NEON, here are some snippets from my earlier writings.

Inbox to Income: BEAN for Revenue and Reactivation: “BEAN offers a twofold advantage for brands: it enables multi-monetisation of existing customers through ads and provides a platform for running reactivation campaigns on other brands’ networks, bypassing traditional Big Adtech platforms. This brand-to-brand ad connectivity could even be structured as a barter system, minimising external financial outflows. As a cornerstone of the Anti-Acquisition playbook, BEAN represents an untapped opportunity in the market. Its realisation requires an intermediary, ideally an email service provider, to synthesise these innovative concepts into a cohesive platform. The potential reward is substantial: with approximately half of the $300 billion in global AdWaste attributed to reacquisition efforts, BEAN could redirect this spending to bolster brand P&Ls and fuel their Profipoly Quest.”

How BEAM and BEAN can Fashion a New Email Era: “BEAN, the Brand Email Ad Network, is a new approach to email marketing that transforms traditional email strategies into a dynamic, revenue-generating ecosystem. It leverages advanced technologies like AMP and ActionAds to create interactive, in-email experiences that drive engagement and conversions. BEAN enables brands to monetise their email lists by hosting ads from non-competing companies, while also providing a cost-effective platform for reactivating dormant customers. Operating on innovative models like ZeroCPM and barter exchanges, BEAN creates a flexible marketplace where brands can act as both publishers and advertisers. It utilises a secure ‘clean room’ environment for data matching, ensuring privacy compliance. With real-time analytics, AI-driven optimisations, and the ability to facilitate both local and global targeting, BEAN represents the future of email marketing. It promises to reduce customer acquisition costs, increase engagement, and open new revenue streams, positioning email as a central pillar in modern digital marketing strategies.”

Engineering a New Email Ecosystem: “[ActionAds] represent a paradigm shift in email marketing by combining personal identifiable information (PII) with actionable content inside the email. Instead of static ads, ActionAds allow users to engage directly within the email – for example, signing up for a newsletter subscription, filling a form, or even making a purchase, without leaving the inbox. ActionAds minimise friction and maximise conversions by enabling “in-channel conversion,” seamlessly blending personalised targeting with direct interaction…Brands can now tap into new revenue streams: hosting ActionAds from non-competing brands, offering premium content or experiences in exchange for Mu, and creating sponsored Containers with partner brands. BEAN (Brand Email Ad Network) facilitates these opportunities, creating a marketplace where brands can efficiently match their ads with suitable email audiences, all while respecting user privacy through a secure “clean room” environment… By allowing non-competing brands to place relevant ads within their emails, brands can monetise email real estate, creating new revenue streams. This approach transforms transactional and promotional emails into a dynamic platform for generating additional income, all while maintaining and even enhancing user engagement. By combining the power of ActionAds with personalised content and dynamic interactivity, the active database becomes not just a tool for engagement but a crucial revenue driver in the new email ecosystem, revolutionising the economics of email marketing…[Brands can also reach] out to inactive users through third-party emails, allowing brands to reconnect with subscribers who may still be actively engaging with content from other sources. By leveraging external email ecosystems, brands can create a new touchpoint to reignite interest.”

NeoMail: Transforming Email into a $175 Billion Growth Engine: “BEAN (Brand Email Ad Network) monetises emails via ActionAds. BEAN creates a marketplace where brands can efficiently match their ads with suitable email audiences, leveraging the unique advantages of email: Personally Identifiable Information (PII), push delivery, in-place interactions, and seamless payment options. BEAN facilitates the placement of ActionAds – interactive, in-email advertisements that allow users to complete actions without leaving their inbox.”

NeoMail: Transforming Email into the Anti-Acquisition Powerhouse:ActionAds redefine email monetisation through interactive, highly targeted ad units that leverage four key advantages (4 Ps): Personally Identifiable Information (PII), Push delivery, in-Place actions, and Payments. These ads aren’t traditional display units but rather interactive modules that enable immediate engagement and transaction completion. ActionAds can be customised based on user behaviour, preferences, and context, ensuring relevance while maintaining the primary email experience. The system includes sophisticated targeting capabilities, real-time optimisation, and performance tracking… NeoMail’s Zero-Party Data Exchange enables brands to enrich their customer understanding through secure, consent-based sharing of user-volunteered preferences and interests. This federated system allows non-competing brands to exchange anonymised insights while maintaining strict privacy controls and regulatory compliance. The exchange specifically focuses on information actively shared by customers through SmartBlocks and interactive elements, creating a rich ecosystem of declared preferences.”

4

Previous Writings – 2

The NeoMail Blueprint: A NeoESP’s Guide to Email Transformation: “ActionAds offer multiple advantages for NeoESPs: transform email from cost centre to profit generator create new revenue streams for brands, enable sophisticated targeting using first-party data, facilitate immediate conversion without channel switching, and generate valuable interaction data for personalisation.”

NeoMail: Solving the Trifecta of Marketing: “For [established] brands, their potential customers typically fall into three main categories: Truly New Customers, Previously Engaged, Market Shifters… The irony is that while true acquisition opportunities lie in targeting the first category (truly new customers) and the third (market shifters), most advertising budgets end up chasing the second category – previously engaged customers. This happens for two reasons. First, these customers have demonstrated past interest in the category and brand, making them seem like “safe” targets. Second, when brands provide their customer lists to Meta and Google for creating lookalike audiences, they inadvertently end up targeting similar profiles – which often include their own dormant customers and past visitors. The result? Brands pay premium prices on adtech platforms to reach people they could contact directly through their own channels… By reframing acquisition as primarily a reactivation challenge, we open the door to more efficient solutions. NeoMail’s innovations are perfectly positioned to address this opportunity, offering brands a way to rebuild relationships with inactive customers directly through their inbox, rather than hoping to catch their attention through increasingly expensive advertising platforms… Through BEAN, brands can play dual roles as both publishers and advertisers. As publishers, they can monetise their email traffic by hosting relevant ads from non-competing brands. As advertisers, they can reach engaged audiences at a fraction of traditional adtech costs by eliminating the Google/Meta “ad tax”. This flexibility creates a unique ecosystem where every brand’s email list becomes a valuable media property… ActionAds provide “free money” – additional revenue from email traffic that brands are already generating. By making every email work harder through relevant, frictionless advertising, brands can transform their inbox presence from a cost burden into a profit engine. In the battle against rising acquisition costs, ActionAds aren’t just an innovation – it is key facet for the House of Anti-Acquisition and a strategic imperative and sustainable growth.”

How NeoMails can create an Adtech (and AdWaste) Alternative: Perhaps most revolutionary is NeoMails’ “Reactivation” capability, which offers brands a way to reconnect with dormant customers without paying the hefty “Adtech tax”. Through Brand Email Ad Network (BEAN), advertisers can reach their inactive customers within other brands’ NeoMails using precise PII-based targeting. This creates a win-win scenario: publishing brands monetise their email traffic while advertising brands reactivate customers at a fraction of traditional retargeting costs. The introduction of ActionAds further disrupts traditional display advertising by enabling frictionless conversions directly within emails. New formats like one-tap newsletter subscriptions, in-email form completion, and seamless payments eliminate the need for external landing pages and repetitive data entry. This dramatically improves conversion rates while reducing dependency on traditional ad platforms for customer acquisition.”

The NeoAdtech Roadmap: 8 Questions That Will Transform Digital Marketing: “BEAN (Brand Email Ad Network) enables precise ad targeting based on authenticated identity rather than cookies or device IDs. Because emails contain PII (Personally Identifiable Information), brands can reach exactly the right customers with relevant offers. This is particularly powerful for: cross-brand collaborations without intermediaries, direct partnerships between complementary brands, revenue sharing through ActionAds, reactivation of dormant customers, and personalised recommendations based on zero-party data… Unlike Google and Meta’s walled gardens, this ecosystem would be fundamentally open: brands own their customer relationships, data remains with the brands, revenue is shared equitably, integration is standardised, and innovation is democratised. The key advantage lies in the decentralised nature of email itself. No single company controls the protocol, making it impossible for any player to establish the kind of monopolistic control that characterises today’s adtech platforms. This creates the foundation for a new kind of advertising ecosystem – one built on genuine value exchange rather than attention extraction. By putting brands and their customers at the centre, NeoAdtech could finally provide a viable alternative to today’s expensive and inefficient advertising platforms.”

The NeoAdtech Symphony: 12 Innovations Orchestrating Marketing’s Next Era: “BEAN offers  [a] decentralised ad network enabling brands to become both publishers and advertisers of their own email inventory, enables brand-to-brand collaboration through barter-based advertising, with secure “clean room” targeting for reactivation of dormant customers, bypasses expensive adtech intermediaries (Google/Meta “tax”) while maintaining precise targeting through authenticated identities, [and] creates sustainable monetisation ecosystem through transparent revenue sharing between brands, platform and ad network.”

5

The Identity and Engagement Challenge

Every brand faces a critical moment when a new customer arrives through paid channels: the race to transform an anonymous visitor into an identified customer. This crucial conversion—typically achieved through incentivised email or mobile number collection—determines whether the brand can establish direct communication or must repeatedly pay to reach the same potential customer.

Why Identity Collection Matters

  • Acquisition costs through platforms like Google and Meta continue to soar
  • Without contact details, brands face endless repayment for customer reach
  • First- and zero-party data (information customers actively share) becomes increasingly valuable as privacy regulations tighten
  • Direct channels offer more cost-effective communication than paid advertising

The Push Channel Crisis

Yet solving the identity challenge is only the first hurdle. Even when brands successfully collect customer contact information, traditional push channels struggle to deliver meaningful engagement:

Email

  • Inboxes overflow with promotional content
  • Open rates show consistent decline
  • Messages lack interactive elements and personalisation
  • Deliverability remains challenging

SMS

  • Severe message fatigue, particularly in markets like India
  • High ignore and block rates
  • Limited rich media capabilities
  • Prohibitive costs at scale

WhatsApp

  • Premium pricing restricts usage to critical communications
  • Strict regulatory constraints
  • Limited advertising options
  • Best suited for transactional messaging

The Reacquisition Trap

This deteriorating effectiveness of direct channels has created an even more costly challenge: brands find themselves trapped in an expensive cycle of reacquisition. They pay premium prices through adtech platforms just to reach customers already in their databases. Consider the scale of this waste:

  • 50-80% of marketing budgets potentially spent on retargeting existing customers
  • Rising Customer Acquisition Costs (CAC) across all platforms
  • Limited transparency in ad delivery and performance
  • Increasing privacy restrictions making targeting less effective

The Twin Problems

These challenges manifest in what I call the “Twin Problems” of modern marketing:

  1. The “No Hotline” Problem
  • Brands lack reliable, guaranteed ways to engage existing customers
  • Push channels prove inconsistent and often go ignored
  • No sustainable daily touchpoints exist
  • Dependency on expensive paid channels for reach persists
  1. The “Not for Me” Problem
  • Limited customer understanding prevents true personalisation
  • Generic messaging fails to engage
  • Insufficient data for individual-level (N=1) targeting
  • Poor relevance leads to customer fatigue

This is where NEON comes in.

6

The Solution

NEON stands apart as the first advertising network purpose-built for identified customers, offering unique advantages:

  1. PII-Based Targeting
  • Leverages authenticated identity rather than cookies
  • Guarantees precise audience reach
  • Eliminates wasted impressions
  • Enables genuine personalisation
  1. Direct Brand Control
  • Removes intermediary platforms
  • Ensures complete data ownership
  • Provides transparent performance metrics
  • Delivers cost-effective customer engagement
  1. Sustainable Economics
  • Dramatically reduces costs by eliminating the Big Adtech ‘tax’
  • Creates new revenue streams through attention monetisation
  • Improves customer lifetime value
  • Delivers superior return on marketing investment

The Publisher Opportunity

Every brand possesses an untapped goldmine: their customer attention. NEON transforms this asset from a cost centre into a profit generator by enabling brands to become publishers.

How Brands Become Publishers

  • Convert daily customer touchpoints into valuable advertising inventory
  • Host relevant ads from complementary, non-competing brands
  • Maintain complete control over advertiser access
  • Generate revenue from existing communications

Multiple Monetisation Channels

  • Email inventory through interactive NeoMails
  • Zero-party data collection via engaging SmartBlocks
  • AI-driven conversations through MyTwin
  • Strategic cross-brand partnerships

Example Scenarios

  • Premium fashion retailer hosting luxury beauty recommendations
  • Travel platform featuring high-end car hire services
  • Fitness brand promoting premium nutrition products
  • Streaming service showcasing gourmet food delivery

Revenue Streams

  • Share advertising revenue from ActionAds
  • Earn from successful customer reactivation
  • Monetise aggregated data insights
  • Create value through strategic partnerships

The Bigger Picture

NEON represents more than just another advertising network—it’s a fundamental shift in customer engagement. By enabling direct brand-to-brand collaboration and eliminating expensive intermediaries, NEON helps brands:

  • Break free from Google and Meta dependency
  • Build lasting customer relationships
  • Create sustainable revenue streams
  • Achieve profitable growth

Most importantly, NEON catalyses marketing transformation—shifting focus from costly acquisition to profitable retention, from anonymous tracking to authenticated relationships, and from fragmented outreach to unified engagement. It provides brands the essential tools to escape the expensive cycle of continuous reacquisition and build sustainable, profitable customer relationships.

Through NEON, brands finally have a way to both reduce marketing costs and generate new revenue—all while delivering better, more relevant experiences to their customers. This represents the future of digital marketing: open, efficient, and centred on genuine customer relationships rather than anonymous tracking.

7

Product Specs

I asked Claude and ChatGPT to provide the product specs for NEON.

Claude

NEON (Identified Customer Open Network)

Product Specification Document v2

1. Executive Overview

NEON represents a paradigm shift in digital advertising by creating an open, decentralized network where brands can directly exchange authenticated customer access without intermediaries. NEON solves marketing’s “Twin Problems”:

  • The “No Hotline” problem through guaranteed customer engagement
  • The “Not for Me” problem through authenticated identity and personalization

Key Differentiators:

  • PII-based targeting using authenticated customer identities
  • Direct brand-to-brand advertising collaboration
  • Zero-party data collection through interactive elements
  • Dual publisher-advertiser roles for all participating brands
  • Privacy-first design with full transparency

Market Opportunity:

  • Addresses $350-560B annual AdWaste in digital advertising
  • Enables reactivation without expensive adtech platforms
  • Creates new revenue streams through attention monetization
  • Reduces dependency on Google/Meta for customer engagement

2. Core Platform Components

A. Identity Layer

  • Customer authentication system
  • PII-based targeting infrastructure
  • Privacy-safe data exchange
  • Consent management

B. Publisher Platform

  1. Inventory Management
    • NeoMails inventory slots
    • MyTwin conversation opportunities
    • SmartBlocks interaction points
    • Pricing and category controls
  2. Revenue Generation
    • ActionAds placement
    • Direct brand partnerships
    • Data monetization
    • Performance analytics

C. Advertiser Platform

  1. Campaign Management
    • Audience targeting using PII
    • Creative management
    • Budget controls
    • Performance tracking
  2. Reactivation Tools
    • Dormant customer matching
    • Cross-brand targeting
    • Engagement tracking
    • ROI analytics

3. Key Features

A. Attention Creation

  • NeoMails for 15-second daily engagement
  • MyTwin for conversational interactions
  • SmartBlocks for zero-party data collection
  • Interactive content delivery

B. Value Exchange

  • ActionAds for in-place conversions
  • Brand-to-brand revenue sharing
  • Transparent performance metrics
  • Data insights marketplace

C. Brand Collaboration

  • Direct partnership opportunities
  • Category exclusivity controls
  • Audience sharing protocols
  • Joint campaign capabilities

4. Revenue Models

A. Publisher Revenue

  • ActionAds commission sharing
  • Reactivation success fees
  • Data monetization
  • Partnership revenue

B. Advertiser Costs

  • PII-based targeting fees
  • Performance-based pricing
  • Volume-based discounts
  • Direct partnership rates

C. Platform Economics

  • Revenue share from transactions
  • Premium feature subscriptions
  • Data insights fees
  • Integration services

5. Integration Capabilities

A. Technical Integration

  • API-first architecture
  • SDK support for platforms
  • Webhooks for real-time events
  • Data synchronization

B. Platform Connections

  • NeoMails system integration
  • MyTwin conversation platform
  • CRM/CDP connections
  • Analytics platforms

6. Privacy & Security

A. Data Protection

  • PII encryption standards
  • Access control systems
  • Data minimization
  • Retention policies

B. Compliance

  • GDPR/CCPA alignment
  • Industry standards
  • Audit capabilities
  • Consent management

7. Implementation Phases

Phase 1: Foundation (Months 1-3)

  • Core platform development
  • Initial brand onboarding
  • NeoMails integration
  • Basic targeting capabilities

Phase 2: Expansion (Months 4-6)

  • MyTwin integration
  • Advanced targeting
  • Revenue optimization
  • Network growth

Phase 3: Optimization (Months 7-12)

  • AI personalization
  • Advanced analytics
  • Full automation
  • Enhanced monetization

Phase 4: Scale (Year 2+)

  • Market expansion
  • New channels
  • Advanced features
  • Ecosystem growth

8. Success Metrics

A. Network Metrics

  • Active brands
  • Transaction volume
  • Revenue growth
  • Network effects

B. Brand Metrics

  • Reactivation rates
  • Revenue generation
  • Cost reduction
  • Engagement improvement

C. Customer Metrics

  • Interaction rates
  • Satisfaction scores
  • Privacy compliance
  • Value delivery

This specification provides a comprehensive framework for building NEON as a revolutionary advertising network that transforms how brands engage with customers and monetize attention. Success depends on executing each component while maintaining focus on solving the Twin Problems through authenticated identity and direct brand collaboration.

ChatGPT

  1. Product Overview

NEON is a revolutionary decentralised advertising network designed specifically for identified customers. Unlike traditional ad networks that rely on cookies and anonymous tracking, NEON uses authenticated customer identity (PII) to deliver personalised, precise, and effective engagement. It enables brands to act as both publishers (offering ad inventory) and advertisers (purchasing access to customer touchpoints), eliminating intermediaries like Google and Meta while fostering direct brand-to-brand collaboration. NEON addresses the core problems of modern marketing: reliance on costly paid channels, ineffective push communication, and lack of sustainable customer engagement mechanisms.

  1. Key Features & Capabilities
  2. PII-Based Targeting
  • Uses authenticated identity (email, phone, app login) to ensure precise audience targeting.
  • Guarantees zero wasted impressions by focusing only on verified customers.
  • Fully compliant with global privacy regulations like GDPR and CCPA.
  1. Direct Brand Control
  • Empowers brands to maintain complete ownership of customer data and interactions.
  • Eliminates reliance on third-party platforms, ensuring transparency in ad performance.
  • Provides brands with tools to control and curate advertisers accessing their inventory.
  1. Monetisation of Owned Channels
  • Enables brands to monetise push channels like NeoMails (interactive emails), app notifications, in-app messages, and web push notifications.
  • Allows strategic ad placement from complementary, non-competing brands.
  • Unlocks new revenue streams through customer attention monetisation and ActionAds.
  1. Multi-Channel Engagement
  • Integrates with all major customer touchpoints: email, SMS, app notifications, in-app messaging, and web push notifications.
  • Expands reach to authenticated interactions across loyalty programs, content marketing, and partnerships.
  • Ensures seamless cross-channel coordination through AI-powered personalisation.
  1. Brand-to-Brand Collaboration
  • Facilitates direct brand-to-brand advertising without intermediaries.
  • Enables strategic partnerships for cross-promotion (e.g., fitness brand promoting nutrition products).
  • Provides insights into shared customer segments to maximise ad relevance and ROI.
  1. Privacy-First Architecture
  • Built around zero-party and first-party data, ensuring all interactions are consent-driven.
  • Incorporates advanced privacy measures like homomorphic encryption for data security.
  • Positions brands as trusted custodians of customer data.
  1. AI-Driven Optimisation
  • Leverages AI Twins for hyper-personalised ad targeting and content creation.
  • Predicts dormant customer reactivation opportunities.
  • Provides actionable insights through predictive analytics and smart reporting tools.
  1. User Roles & Personas
  2. Brand Publisher (Supply-Side User)
    • Role: Monetises owned customer touchpoints by offering ad inventory.
    • Goal: Generate incremental revenue while retaining control over customer experience.
  3. Brand Advertiser (Demand-Side User)
    • Role: Purchases ad space in other brands’ inventory to reactivate dormant customers or acquire new ones.
    • Goal: Reduce Customer Acquisition Costs (CAC) and maximise Customer Lifetime Value (LTV).
  4. Customer/User (Recipient of NeoMails)
    • Role: Receives personalised, relevant ads within trusted brand interactions.
    • Goal: Experience meaningful engagement without intrusive tracking or irrelevant content.
  1. Product Workflow

Step 1: Identity Collection

  • Brands convert anonymous visitors into identified customers through zero-party data collection mechanisms (email signups, app logins, SmartBlocks).

Step 2: Inventory Setup

  • Brands configure their owned channels (NeoMails, app notifications) as monetisable ad spaces.

Step 3: Campaign Creation

  • Advertisers define campaign goals (reactivation, cross-sell) and upload creatives (ActionAds).
  • AI Twins personalise targeting based on shared customer insights.

Step 4: Ad Placement

  • Ads are embedded seamlessly into customer interactions, such as NeoMails or in-app messages.

Step 5: Reporting & Revenue Sharing

  • Transparent performance metrics are shared with publishers and advertisers.
  • Revenue is split based on predefined terms (e.g., CPM, CPC, CPA).
  1. Success Metrics
  2. Revenue Per 1000 Mails (RPM): Measures ad revenue generated per 1000 NeoMails sent.
  3. Customer Reactivation Rate: Percentage of dormant customers re-engaged through NEON-driven campaigns.
  4. LTV Growth: Increase in Customer Lifetime Value due to sustained engagement.
  5. Ad Fill Rate: Proportion of available inventory monetised.
  6. ROI for Advertisers: Improvements in campaign effectiveness and cost efficiency.
  7. Monetisation Model
  8. Revenue Share: NEON earns a percentage of revenue generated from ad placements.
  9. Subscription Plans: Premium features like advanced analytics and exclusive inventory access.
  10. ActionAds Pricing: Flexible CPM, CPC, or CPA models based on campaign objectives.
  11. Roadmap

Phase 1 (0-6 Months):

  • Launch MVP for NeoMail-based inventory.
  • Onboard pilot brands as publishers and advertisers.

Phase 2 (6-12 Months):

  • Expand to app notifications, in-app messaging, and web push notifications.
  • Introduce cross-brand segmentation insights and dynamic SmartBlocks.

Phase 3 (12-18 Months):

  • Scale NEON to include multi-brand loyalty programs and co-branded campaigns.
  • Build partnerships with Martech platforms to integrate NEON into existing ecosystems.

8

Summary

Digital advertising faces a crisis of inefficiency. Brands collectively waste $350-560 billion annually on wrong targeting and unnecessary reacquisition through expensive adtech platforms. Most troubling? A significant portion of this “AdWaste” comes from brands paying premium prices to reach customers already in their databases – essentially renting access to their own audiences through Google and Meta’s opaque bidding systems.

This broken system persists because brands lack viable alternatives for reaching and reactivating customers at scale. While they own customer relationships and data, they have no efficient way to maintain engagement or monetise these assets. Instead, they remain trapped in an expensive cycle of continuous reacquisition through walled gardens that extract maximum value while providing minimum transparency.

The NEON Revolution

NEON creates a revolutionary open advertising network enabling direct brand-to-brand collaboration without intermediaries. Built on three foundational principles – each the antithesis of current ad networks – NEON reimagines advertising as a collaborative, decentralised ecosystem:

  1. Authenticated Identity
  • All targeting based on verified customer identities (PII)
  • Precise targeting without anonymous cookies
  • Privacy-respecting approach to customer data
  1. Brand Control
  • Complete ownership of customer relationships
  • Dual publisher-advertiser capabilities
  • Direct control over targeting and monetisation
  1. Direct Value Exchange
  • Transparent revenue sharing between brands
  • Elimination of the “adtech tax”
  • Fair value distribution across the network

The Power of Integration

NEON’s uniqueness comes from its integration with three powerful technologies:

NeoMails

  • Interactive daily 15-second engagement vehicles
  • Embedded ActionAds for monetisation
  • Guaranteed customer attention

MyTwin

  • AI-powered personal digital companions
  • Conversational customer interactions
  • Deep preference understanding
  • Personalised recommendations
  • Real-time intent capture

SmartBlocks

  • Zero-party data collection
  • Natural, rewarding interactions
  • Progressive customer profiling

Together, these technologies create a powerful engagement ecosystem where:

  • NeoMails provides the daily touchpoints
  • MyTwin enables deep customer understanding
  • SmartBlocks gather crucial preference data
  • All three combine to enable true N=1 personalisation and precise targeting

This integration ensures every customer interaction is meaningful, personalised, and monetisable, while maintaining privacy and brand control. The result is a self-reinforcing system where better engagement leads to deeper understanding, enabling more relevant advertising and stronger customer relationships.

Transformative Possibilities

The NEON ecosystem enables multiple value-creating opportunities:

For Brands as Advertisers:

  • Remarket to customers within existing journeys
  • Reactivate dormant customers through other brands
  • Target with precision using authenticated identity

For Brands as Publishers:

  • Generate new revenue streams
  • Monetise existing customer communications
  • Host relevant ads from complementary brands

For Customers:

  • Receive relevant, personalised offers
  • Control data sharing and privacy
  • Experience better brand interactions

Breaking the Walled Gardens

NEON solves the fundamental “closed garden” problem in digital advertising by:

  • Decentralising value creation
  • Enabling direct brand collaboration
  • Supporting privacy-conscious advertising
  • Building on real customer relationships

The timing for this transformation is perfect. As acquisition costs soar and privacy regulations tighten, brands urgently need new ways to reach and engage customers. NEON provides this alternative – not through better algorithms or targeting techniques, but by fundamentally reimagining how brands can work together to create value.

This is more than just another ad network; it’s a new model for digital advertising that:

  • Puts brands back in control of their customer relationships
  • Eliminates massive waste in current systems
  • Enables genuine collaboration and value sharing
  • Creates a more efficient and equitable ecosystem

Through NEON, brands can finally make the most of their most valuable asset: their customer relationships. The future of digital advertising isn’t about better ways to track and target – it’s about creating an open, collaborative network that benefits everyone involved.

Thinks 1485

Om Malik: “Josh Miller, co-founder of The Browser Company, is making “Arc,” a browser for the AI-first era. He believes that there is less of a need for the user interface of the browser of the past, but the internals of the browser are going to be pivotal for our future. “While most think we are building a browser,” Miller said in a conversation, “what we are building is a browser-based system.” He wants to transform the browser from a mere viewer to an operating system-like entity that maintains personal preferences and behaviors at the system level, allowing us to use “AI” across devices without replicating our choices at the app level. His new browser-based OS will understand user context and preferences at a fundamental level, making it easier to create personalized experiences. Rather than having applications dictate how we interact with information, our usage patterns and preferences will shape how information and services are presented to us. Miller believes the web browser’s core technologies, especially those that are open and widely adopted standards, make it easy for browsers to evolve quickly and adapt to a future where we will interact with multiple devices — not just desktop or laptop computers, or mobile phones. After all, wearables and devices without screens will need to browse, retrieve, and interact with information without the need for a browser as we know it.”

GroupM’s 2024 Global End-of-Year Forecast. FT: “The global advertising industry will surpass $1tn in revenue for the first time this year, with Google, Meta, ByteDance, Amazon and Alibaba expected to earn more than half the total in a market dominated by the technology sector. GroupM, the media agency owned by WPP, estimates that global advertising revenue will increase 9.5 per cent in 2024, more than it had expected at the mid-year point, despite tough economic conditions in larger, developed markets such as the US and UK. The group forecasts that the market will expand by a further 7.7 per cent in 2025, and that most of the growth will directly benefit the largest sellers of digital advertising in the US tech sector, rather than providers of marketing services such as advertising agencies…Digital advertising is forecast to account for 73 per cent of total revenue by the end of next year — growing at 12.4 per cent globally in 2024 and 10 per cent in 2025 — or 82 per cent when including revenue from streaming and digital newspapers and magazines.”

WSJ: “Founded in 2020, Viam is built on the premise that anything can be made “smart,” through the combination of its software platform, existing hardware and AI. This includes smart refrigerators, of course, but also smart bathroom lines and even smart pizza. Many things in the physical world either generate some kind of data or are surrounded by something that does (like a security camera). Viam provides a platform to bring that data to the cloud, where it can be analyzed for insights—and sometimes managed and controlled remotely.”

The Atlantic looks beyond ChatGPT: “OpenAI is taking a long view. The reasoning models “explore different hypotheses like a human would,” Chen told me. By reasoning, o1 is proving better at understanding and answering questions about images, too, he said, and the full version of o1 now accepts multimodal inputs. The new reasoning models solve problems “much like a person would,” OpenAI wrote in September. And if scaling up large language models really is hitting a wall, this kind of reasoning seems to be where many of OpenAI’s rivals are turning next, too. Dario Amodei, the CEO of Anthropic, recently noted o1 as a possible way forward for AI. Google has recently released several experimental versions of Gemini, its flagship model, all of which exhibit some signs of being maze rats—taking longer to answer questions, providing detailed reasoning chains, improvements on math and coding. Both it and Microsoft are reportedly exploring this “reasoning” approach. And multiple Chinese tech companies, including Alibaba, have released models built in the style of o1.”

The NeoAdtech Symphony: 12 Innovations Orchestrating Marketing’s Next Era

Published January 24, 2025

1

Overview

Digital marketing stands at a crossroads. While adtech platforms have created unprecedented efficiency in reaching audiences, they’ve done so at the cost of genuine customer relationships and sustainable profitability. I have written previously about NeoAdtech and its potential to revolutionise how brands engage with customers – shifting focus from costly acquisition to profitable retention and engagement.

NeoAdtech promises to solve marketing’s trifecta challenge: maximising customer Lifetime Value (LTV), minimising Customer Acquisition Cost (CAC), and creating new revenue streams through multi-monetisation. This transformation requires martech companies to evolve beyond traditional SaaS models based on message volume or active users. Instead, they must pioneer a new approach built on targeted advertising and value sharing. Think of NeoAdtech as a fusion of martech’s brightest innovations with adtech’s proven revenue engine, creating an open alternative to Big Adtech’s walled gardens.

The key ideas and innovations powering this revolution address two fundamental problems plaguing marketing today: the “no hotlines” challenge of establishing reliable customer connections, and the “not for me” problem of irrelevant messaging. Through building direct engagement channels, gathering zero-party data, and enabling true N=1 personalisation, NeoAdtech can help brands transform from profitless acquisition to profitable retention, eliminating the massive AdWaste in customer reacquisition.

The opportunity is staggering. With 50-80% of the $700 billion digital advertising market potentially being misspent on wrong targeting and unnecessary reacquisition, NeoAdtech companies have a clear path to creating trillion-dollar market caps by redirecting even a fraction of this AdWaste toward more effective, retention-focused strategies.

I have discussed NeoAdtech  in some of my previous writings.

These are the 12 innovations that underpin NeoAdtech:

Core Platform Innovations

  1. NeoMails
  2. SmartBlocks
  3. ActionAds
  4. Brand Email Ad Network (BEAN)

AI & Personalisation Layer

  1. MyTwin
    6. AI Co-Marketer
    7. Microcontent Engine

Engagement & Gamification

  1. Muniverse
    9. WePredict

Distribution & Coordination

  1. Cross-Channel Coordination
    11. Micronbox
    12. MyToday Newsletters

2

Briefs

Just as a symphony creates beautiful music through the harmonious interaction of different instruments, NeoAdtech achieves its transformative power through the precise orchestration of 12 key innovations. Like sections in an orchestra – strings, woodwinds, brass, and percussion – these innovations are organised into four complementary layers that work together to create something far greater than the sum of their parts.

Core Platform Innovations

  1. NeoMails
  • Interactive, 15-second daily engagement window that transform traditional email into a dynamic hotline with predictable touchpoints between brands and customers
  • Combines Mu in subject lines and interactive elements in the email
  • ZeroCPM model transforms email from cost centre to profit centre
  • Integrates microcontent, rewards, and ads in a unified experience
  1. SmartBlocks
  • Dynamic interactive containers for zero-party data collection which work seamlessly within email
  • Progressive profiling through natural, rewarding interactions which work as an input source for MyTwin
  • Creates immediate value while gathering crucial preference data
  • Privacy-compliant data collection through voluntary sharing
  1. ActionAds
  • Revolutionary advertising format leveraging four Ps: PII-based targeting (authenticated identity), Push delivery (guaranteed reach), in-Place actions (frictionless engagement), and integrated Payments
  • New formats enabling one-tap subscriptions, instant form fills, and seamless purchases without leaving the inbox
  • Makes advertising feel like personalised content through contextual relevance and native integration
  • Creates new revenue streams for brands
  1. Brand Email Ad Network (BEAN)
  • Decentralised ad network enabling brands to become both publishers and advertisers of their own email inventory
  • Enables brand-to-brand collaboration through barter-based advertising, with secure “clean room” targeting for reactivation of dormant customers
  • Bypasses expensive adtech intermediaries (Google/Meta “tax”) while maintaining precise targeting through authenticated identities
  • Creates sustainable monetisation ecosystem through transparent revenue sharing between brands, platform and ad network

AI & Personalisation Layer

  1. MyTwin
  • Personal 24/7 digital companion and assistant, acting as an AI clone of the customer
  • Enables direct expression of preferences through natural conversation – like customers talking to themselves
  • Maintains persistent memory of all interactions
  • Powers true N=1 personalisation through deep understanding of the customer – for content, product recommendations, and ads
  1. AI Co-Marketer
  • Orchestrates personalised marketing through Agentic AI with interactions with AI Twins
  • Creates Generative Journeys that dynamically re-routes customer journeys based on real-time signals, just as Google Maps adapts to traffic conditions
  • Continuously optimises content, timing, and channel selection
  • Uses predictive AI to improve campaign performance across touchpoints
  1. Microcontent Engine
  • AI-powered system generating personalised content (for NeoMails and other touchpoints)
  • Ensures consistent value delivery while maintaining brand voice
  • Scales content creation efficiently across millions of customers
  • Enables multi-channel content adaptation

Engagement & Gamification

  1. Muniverse
  • Comprehensive gamification framework built around Atomic Rewards (Mu)
  • Creates habit-forming engagement through clear earn-burn value exchange
  • Links rewards, loyalty, and engagement in a unified system
  • Drives consistent interaction and retention
  1. WePredict
  • Prediction markets that gamify engagement (using Mu for participation) and drive virality
  • Creates community interaction and social sharing
  • Enables compelling rewards redemption
  • Captures preferences through participatory forecasting

Distribution & Coordination

  1. Cross-Channel Coordination
  • Real-time decisioning across all touchpoints
  • Ensures consistent messaging and experiences via the AI Co-Marketer
  • Enables dynamic optimisation based on responses
  • Creates seamless customer journeys
  1. Micronbox
  • Super inbox consolidating all brand communications
  • Uses email and mobile as primary identifiers
  • Reduces clutter and overload while maintaining engagement
  • Creates unified hub for content, offers, and subscriptions
  1. MyToday Newsletters
  • Showcase implementation of NeoMail capabilities
  • Demonstrates practical application of NeoAdtech principles
  • Builds direct consumer relationships through valuable content
  • Testing ground for new engagement formats

Together, these innovations create a comprehensive ecosystem that transforms how brands engage with customers, collect data, personalise experiences, and generate revenue. The layered approach ensures each component builds upon and reinforces the others, creating powerful network effects and sustainable competitive advantages.

3

Looking Ahead

I asked Claude and ChatGPT how these innovations can bring NeoAdtech to life.

Claude

These 12 innovations work together synergistically to transform how brands engage with customers, creating a powerful alternative to today’s costly adtech-dominated landscape. The system operates through four interconnected layers that combine to enable truly personalised, profitable customer relationships.

At the foundation, the Core Platform Innovations create the essential infrastructure. NeoMails establish reliable daily hotlines between brands and customers through 15-second engagement vehicles, powered by SmartBlocks that gather zero-party data through natural interactions. ActionAds transform these touchpoints into revenue generators, while BEAN enables brands to monetise their email inventory through precise, PII-based targeting. This foundation solves the fundamental “no hotline” problem while creating new revenue streams through targeted advertising.

The AI & Personalisation Layer brings intelligence and scalability to this foundation. MyTwin serves as each customer’s personal AI companion, enabling natural expression of preferences and intentions. The AI Co-Marketer uses these insights to orchestrate personalised marketing strategies, while the Microcontent Engine ensures consistent, engaging content delivery across millions of customers. Together, they solve the “not for me” problem through true N=1 personalisation at scale.

The Engagement & Gamification layer drives sustained interaction and loyalty. Muniverse creates habit-forming engagement through Atomic Rewards (Mu), while WePredict adds community interaction and viral growth through prediction markets. This combination ensures customers remain actively engaged while providing valuable preference data through their participation.

Finally, the Distribution & Coordination layer brings everything together seamlessly. Cross-Channel Coordination ensures consistent experiences across touchpoints, Micronbox provides a unified hub for brand communications, and MyToday Newsletters serve as both showcase and testing ground for new engagement formats.

The magic happens in how these layers interact. For example, when a customer interacts with their MyTwin, expressing interest in a particular product category, this triggers the AI Co-Marketer to orchestrate a personalised journey. The Microcontent Engine creates relevant content delivered through NeoMails, enhanced with SmartBlocks for deeper engagement and ActionAds for monetisation. The customer earns Mu rewards for their interactions, which they can use to participate in WePredict, creating a virtuous cycle of engagement and value exchange.

Most importantly, this ecosystem eliminates the massive waste in today’s digital marketing. Instead of repeatedly paying Google and Meta to reach their own customers, brands can build direct, profitable relationships through owned channels. The combination of authenticated identity, zero-party data, and AI-powered personalisation enables precise targeting without the privacy concerns of traditional adtech.

This transformation from sporadic, expensive customer acquisition to consistent, profitable engagement represents the future of digital marketing. Through these 12 innovations working in harmony, NeoAdtech creates sustainable competitive advantages for brands while delivering genuine value to customers. The result is not just better marketing – it’s a fundamentally new way of building lasting, profitable customer relationships at scale.

ChatGPT

How These 12 Innovations Come Together to Bring NeoAdtech to Life

NeoAdtech is not just a collection of isolated innovations. It is an interconnected, self-reinforcing system that transforms the entire marketing value chain. These 12 key innovations — from NeoMails to the Brand Email Ad Network (BEAN) — work in harmony to create a unified, efficient, and profitable marketing engine that shifts brands away from reliance on traditional adtech. Here’s how each part fits into the larger whole.

1. Core Platform Innovations

  1. NeoMails: At the heart of NeoAdtech is NeoMails, a revolutionary upgrade of traditional email marketing. By introducing interactive, 15-second micro-content with ActionAds and SmartBlocks, NeoMails evolves the inbox from a passive channel into an active, dynamic engagement platform. The ZeroCPM model ensures brands incur no upfront costs, and every interaction becomes a profit opportunity.
  2. SmartBlocks: SmartBlocks are like building blocks for email engagement. These dynamic, interactive modules are embedded into NeoMails, allowing brands to seamlessly collect zero-party data. By enabling in-email actions like quizzes, polls, or feedback forms, SmartBlocks enhance personalisation and power customer profiling — which in turn feeds the AI Co-Marketer for better personalisation.
  3. ActionAds: ActionAds transform every email into a marketplace. Instead of relying on external landing pages, recipients can purchase products, complete forms, or sign up directly within the email itself. The frictionless nature of in-email transactions means every NeoMail becomes a revenue-generating engine.
  4. Brand Email Ad Network (BEAN): BEAN is the commercial backbone of NeoAdtech. By turning email into a monetisation platform, BEAN allows brands to act as both advertisers and publishers. Brands can run reactivation campaigns in other companies’ emails or open up ad slots in their own newsletters for additional revenue streams. This network creates a decentralised ad system where each brand becomes part of a collaborative advertising ecosystem.

2. AI & Personalisation Layer

  1. MyTwin: MyTwin acts as a persistent, 24/7 digital replica of each customer. Its memory of past interactions allows it to predict intent, suggest content, and guide future engagements. When MyTwin feeds into NeoMails, the customer experience becomes hyper-personalised. Every email, ad, and message feels tailor-made.
  2. AI Co-Marketer: Acting as a strategic “co-pilot” for marketers, the AI Co-Marketer orchestrates personalisation at scale. It uses Generative Journeys, which are like dynamic roadmaps that shift in real time based on customer responses. The Co-Marketer ensures that every NeoAdtech component works together to produce a seamless customer experience.
  3. Microcontent Engine: This AI-powered engine generates fresh, personalised content for NeoMails. It produces hyper-targeted micro-content for each recipient, drawing on zero-party data from SmartBlocks and MyTwin. This automation ensures timely, relevant messages that increase open rates, engagement, and conversions.

3. Engagement & Gamification

  1. Muniverse: Muniverse introduces gamification at scale by integrating Atomic Rewards (Mu) into NeoMails. Customers earn Mu points for engaging with emails, completing actions, and making purchases. This rewards-based system creates habitual engagement and boosts brand loyalty. The Mu balance is displayed directly in the subject line of emails, driving higher open rates.
  2. WePredict: By introducing prediction markets, WePredict drives community engagement and interaction. Customers can bet on future outcomes (like the result of a sports match) within a NeoMail. This interactive element creates a gamified experience that increases email engagement, while also revealing customer preferences, which MyTwin and the AI Co-Marketer can leverage for future targeting.

4. Distribution & Coordination

  1. Cross-Channel Coordination: NeoAdtech ensures that customer engagement extends beyond email. Cross-Channel Coordination allows brands to synchronise customer interactions across multiple channels — email, SMS, app push, and web. It guarantees that no matter where a customer engages, the message remains consistent, reinforcing a unified brand experience.
  2. Micronbox: Acting as a “super inbox” for branded content, the Micronbox consolidates all brand communications in one place. Customers access all of their NeoMails, product recommendations, and personal offers in a single, streamlined interface. By reducing inbox clutter, the Micronbox enhances attention, engagement, and multi-monetisation opportunities.
  3. MyToday Newsletters: As a demonstration of NeoAdtech’s potential, MyToday Newsletters showcase how these 12 innovations operate in a real-world context. MyToday leverages NeoMails, SmartBlocks, and ActionAds to create an always-on, habit-forming channel that fosters ongoing customer relationships. It serves as a testing ground for new formats and innovations, constantly evolving the NeoAdtech model.

How it All Comes Together

When combined, these 12 innovations create a self-reinforcing system that addresses the key pain points in digital marketing: customer engagement, personalisation, data collection, and revenue generation. Here’s how it works as a unified engine:

  1. Personalised Customer Journeys: MyTwin collects and retains customer preferences, which feed the AI Co-Marketer. The Co-Marketer then uses this data to create tailored customer journeys in NeoMails. SmartBlocks dynamically personalise each email in real time, while Microcontent ensures fresh, engaging messages every day.
  2. Revenue Generation in Every Interaction: Every NeoMail is more than just a message — it’s a monetisation opportunity. ActionAds allow purchases and form completions within the inbox, BEAN enables the buying and selling of ad slots, and Cross-Channel Coordination ensures all interactions are aligned for maximum impact.
  3. Sustainable Growth Without AdWaste: By building direct engagement channels through NeoMails, brands reduce reliance on traditional adtech. Instead of continuously paying for reacquisition, they maintain direct hotlines with customers. Gamification (Muniverse) and WePredict fuel repeat interactions, ensuring ongoing engagement without the need for external ad spend.
  4. Data-Driven Continuous Improvement: Every customer action in a NeoMail (clicks, SmartBlock interactions, ActionAd conversions) generates zero-party data. This feeds back into MyTwin, which updates its knowledge of the customer. The AI Co-Marketer then refines future engagement strategies, creating a flywheel of continuous improvement.
  5. A Decentralised Ecosystem for Brands: BEAN allows brands to bypass Big Adtech and operate in a collaborative network of brands. Instead of paying Google or Meta to reacquire customers, they can run reactivation campaigns within other brands’ newsletters. Brands also monetise their own email traffic via ActionAds, creating a circular value system.

By integrating these 12 innovations, NeoAdtech creates an end-to-end ecosystem that breaks the cycle of continuous customer acquisition and shifts the focus to profitable retention and reactivation. It reimagines email as a media network, not just a messaging channel, with sustainable profitability as its core mission. Brands no longer rely on expensive ad platforms to reach customers — they own the journey, the data, and the profits. This is the future of marketing, and NeoAdtech is leading the charge.

Thinks 1484

FT: “Creating what is in essence a new layer of digital plumbing between apps and websites like this hardly sounds like the most sexy use of AI. But it could end up causing important changes to how people use technology and shifting the balance of power in the tech industry. AI agents that act on behalf of their users are the fad of the moment. Giving them the power to operate across different apps, web sites and digital services could have far-reaching effects.”

WSJ: “[Jensen Huang] doesn’t want information that has already made its way through layers of management. What he wants is “information from the edge,” he said…The way he solved this problem was by asking roughly 30,000 employees at every level of the company to send regular emails to their teams and executives that even the CEO can access. Which he does—every single day. They’re usually brief and include a few bullet points, and glancing at them gives Huang a snapshot of what’s happening inside Nvidia, Kim writes. It might just be the only way he can get the sort of unvarnished truth that nobody wants to give the CEO but every CEO needs to get. After all, Nvidia’s employees are not telling Huang what they think he wants to hear. They’re just telling him things. T5T (Top-5 Things) emails became a “crucial feedback channel” for Huang, Kim writes, because they allowed him to pick up on trends that were obvious to junior employees, even when top executives were completely oblivious. “I’m looking to detect the weak signals,” he says, according to Kim. “It’s easy to pick up the strong signals, but I want to intercept them when they are weak.””

Nick Bostrom: “There may well exist a normative structure, based on the preferences or
concordats of a cosmic host, and which has high relevance to the development of
AI. In particular, we may have both moral and prudential reason to create
superintelligence that becomes a good cosmic citizen—i.e. conforms to cosmic
norms and contributes positively to the cosmopolis. An exclusive focus on
promoting the welfare of the human species and other terrestrial beings, or an
insistence that our own norms must at all cost prevail, may be objectionable and
unwise. Such attitudes might be analogized to the selfishness of one who
exclusively pursues their own personal interest, or the arrogance of one who acts
as if their own convictions entitle them to run roughshod over social
norms—though arguably they would be worse, given our present inferior status
relative to the membership of the cosmic host. An attitude of humility may be
more appropriate.”

FT: “Anyone wanting to take on Nvidia must contend not just with its chip nous, but its bountiful profit. Huang’s company generates earnings equivalent to about 60 per cent of its revenue, higher than Apple, Microsoft, Alphabet and Intel have managed any time this century, according to LSEG data. That gives Huang a lot to play with. He can invest Nvidia’s riches to keep its products out in front, acquire companies in adjacent markets, or even put a lid on prices. He can also pay fines or sacrifice some Chinese revenue — if it comes to that — without breaking a sweat. Given the financial goodies Nvidia enjoys as a result of its dominance, it’s no surprise that ants are gathering on all sides. They should be easy to hold at bay.”

Microsoft AI CEO Mustafa Suleyman: “To me, AGI is a general-purpose learning system that can perform well across all human-level training environments. So, knowledge work, by the way, that includes physical labor. A lot of my skepticism has to do with the progress and the complexity of getting things done in robotics. But yes, I can well imagine that we have a system that can learn — without a great deal of handcrafted prior prompting — to perform well in a very wide range of environments. I think that is not necessarily going to be AGI, nor does that lead to the singularity, but it means that most human knowledge work in the next five to 10 years could likely be performed by one of the AI systems that we develop. And I think the reason why I shy away from the language around singularity or artificial superintelligence is because I think they’re very different things. The challenge with AGI is that it’s become so dramatized that we sort of end up not focusing on the specific capabilities of what the system can do. And that’s what I care about with respect to building AI companions, getting them to be useful to you as a human, work for you as a human, be on your side, in your corner, and on your team. That’s my motivation and that’s what I have control and influence over to try and create systems that are accountable and useful to humans rather than pursuing the theoretical super intelligence quest.”

MyTwin: The Agentic AI That Powers N=1 Personalisation

Published Jainuary 23, 2025

1

Natural Conversations

The essence of true personalisation lies in natural, human-like interactions. Every shopping trip with my wife Bhavana demonstrates this perfectly. Through fluid conversations with sellers, she articulates preferences, combines elements from different items, and guides the discovery process until finding exactly what she wants. “This colour, that design, and that fabric” – simple instructions that sellers instantly understand and act upon, creating a genuine N=1 experience.

This natural customisation extends across all real-world shopping experiences. Whether choosing a saree, selecting luggage, or ordering at restaurants (where I want my sev puri without tomatoes, and Bhavana prefers hers extra spicy), human sellers grasp our individual preferences through simple conversation. They understand context, remember our choices, and adapt their recommendations accordingly. Most importantly, they put our interests first, knowing that customer satisfaction drives long-term relationships.

Yet this natural, conversational personalisation remains frustratingly absent in our digital interactions with brands. I cannot simply tell Amazon, “Alert me when any of my favourite ten thriller authors releases a new book, especially legal thrillers like Grisham and Turow. Also, keep me updated on good new books about AI and business.” While recommendation algorithms work reasonably well, they lack the nuanced understanding that comes from direct dialogue, and can be easily derailed by casual browsing.

Similarly, Netflix doesn’t allow me to say, “I have two hours free and want a movie mixing comedy and action, with a touch of romance” – a request any friend could easily handle. Instead, we’re confined to rigid category navigation and limited search functionality that often misses the context and nuance of our preferences.

This isn’t about deploying better chatbots to search product catalogs. It’s about creating intelligent agents that truly understand us as individuals and can engage in meaningful dialogue. While we can refine and shape outputs from AI models like ChatGPT and Claude, we cannot easily do the same with search engines and recommendation systems.

Enter MyTwin – an AI-powered digital mirror of ourselves which resides inside the brand backend. It learns, anticipates, and even surprises us with its understanding. Unlike traditional recommendation engines, MyTwin prioritises our interests above all else. Through natural conversations, it builds a deep understanding of our preferences, acting as our personal agent in interactions with the brand. Each interaction refines its knowledge, creating an ever-more-accurate reflection of our desires and interests.

Together with NeoMails, MyTwin forms the second pillar of the NeoAdtech future – where B2C products are offered to businesses for free and monetised through precisely targeted PII-based advertising. This combination has the potential to redirect hundreds of billions in AdWaste toward more effective marketing, helping brands transform from being profitless to achieving profipoly status. More importantly, it could lay the foundation for creating the next trillion-dollar enterprise by fundamentally reimagining how brands and customers interact in the digital age.

The implications are profound: MyTwin could finally bridge the gap between the natural personalisation we experience in human interactions and the rigid, algorithmic approaches that dominate digital commerce today. It’s not just about better recommendations – it’s about creating truly personal relationships between brands and customers, mediated by AI that puts individual preferences first.

2

Beyond Segments

Marketers treat customers as part of a segment or cohort. A single customer may be part of multiple such groupings. For example, I might be categorised as a premium credit card holder, frequent air traveller, business book buyer, thriller fiction reader, tech gadget early adopter, and news junkie. These segments help brands target offers and customise communications, but they miss the nuanced reality of individual preferences and behaviours.

The limitations of segment-based marketing become apparent in daily interactions. Amazon might recommend business books I’ve already read or thrillers from authors I don’t enjoy. Netflix suggests movies similar to ones I watched but didn’t particularly like. Food delivery apps keep pushing cuisines I rarely order. The fundamental problem is that these systems treat me as a collection of segments rather than as a unique individual with specific preferences, dislikes, and context.

Even sophisticated AI-powered recommendation engines fall short because they rely primarily on observed behaviour – what I clicked, watched, or purchased. But past actions don’t always reflect true preferences. A one-time purchase for a gift shows up as an interest. A movie watched with family becomes part of my taste profile. A random click while browsing influences future recommendations. Without the ability to directly communicate preferences and context which can create a truer representation and understanding of me, these systems accumulate biases and misunderstandings over time.

The solution requires moving beyond segments to true N=1 personalisation where each customer is understood as a unique individual. This is where MyTwin becomes transformative – it creates a personalised AI agent that learns directly from conversations with the customer, understands context and preferences explicitly rather than just inferring them from behaviour, and acts as an intelligent interface between individual desires and brand offerings.

Most importantly, MyTwin preserves and builds upon this understanding over time rather than being led astray by occasional deviations in browsing or purchase patterns. It’s like having a personal shopper who knows you deeply, remembers your preferences, and can engage in natural dialogue to refine recommendations and suggestions.

This shift from segment-based to truly personal AI agents represents the next evolution in marketing – one that finally delivers on the promise of genuine N=1 engagement at scale.

3

N=1

Marketing automation has evolved from broad segments (N=1000s) to micro-segments (N=100s), but fundamentally remains trapped in a segmentation mindset. Companies invest heavily in sophisticated marketing automation platforms that slice audiences into increasingly narrow segments, yet struggle with low retention and limited revenue per customer. Despite employing advanced techniques like collaborative filtering and psychographic segmentation, they fail to build lasting customer relationships. A streaming service might correctly identify a customer’s favourite genres but miss understanding how those viewing preferences change based on who they are watching with. A travel platform may categorise someone as a luxury traveller but fail to recognise that their splurges are only for annual family trips, while they prefer budget options when traveling solo.

True N=1 personalisation is fundamentally different. It’s not about creating smaller segments or more precise cohorts – it’s about understanding and serving each customer as a unique individual with specific contexts, preferences, and goals. Just as a personal shopper builds deep knowledge of an individual client’s tastes, or a financial advisor understands their client’s unique circumstances and aspirations, N=1 personalisation requires moving beyond observed behaviours to genuine understanding.

The challenge isn’t just technical – it’s conceptual. Traditional martech platforms focus on operational efficiency and transaction-focused campaigns: how many messages to send, when to send them, which products to recommend based on past behaviour. But true N=1 personalisation requires blending automation with authentic human-like understanding – not just streamlining operations but improving the quality and relevance of every interaction and thinking of it as a journey. It requires understanding not just what customers have done, but what they want to achieve.

This is where MyTwin becomes transformative. Instead of trying to fit customers into ever-smaller segments, it creates a personalised AI agent that learns directly from conversations with the customer. Like a GPS system that transforms static map data into personalised navigation guidance by understanding the specific destination and preferences, MyTwin transforms a brand’s products, services, and content into enriching experiences that align with each customer’s unique journey.

Most importantly, MyTwin preserves and builds upon this understanding over time rather than being led astray by occasional deviations in browsing or purchase patterns. It enables what I call “extreme personalisation” – where every interaction is genuinely tailored to the individual’s context and goals, not just their segment characteristics.

The shift from segmentation to true N=1 personalisation represents more than an incremental improvement in marketing technology. It’s a fundamental reimagining of how brands build customer relationships – one that finally delivers on the promise of treating each customer as a unique individual rather than a collection of segment attributes.

PS: I want to thank Prasad Ram, co-founder of Gooru Learning, for having patiently explained to me the true meaning of N=1 personalisation, and how it differs from what we think of us personalisation today (which is just segmentation).

4

The How

One way to bring MyTwin to life, building on my previous essay on Large Customer Models, is through the creation of a Single Customer Model (SCM). This comprehensive model integrates multiple layers of intelligence:

  • Enterprise-wide customer data aggregation and analysis
  • Dynamic segmentation patterns and insights
  • Complete product and service catalogues
  • External adtech signals (search and social behaviours)
  • Individual customer profiles (demographics, events, transactions)
  • Zero-party data voluntarily shared by customers

Traditionally, this data remains fragmented across various platforms and databases. While CDPs (customer data platforms) or CDWs (customer data warehouses) attempt to unify this information, they often fall short of creating truly actionable intelligence.

The real breakthrough in making SCM a reality comes from the convergence of three generations of AI:

  • Predictive AI for using pattern recognition and behavioural analysis to anticipate needs
  • Generative AI enabling natural language interactions
  • Agentic AI powering autonomous decision-making through tools like the Co-Marketer

When combined with innovations like NeoMails and AI Twins, these AI capabilities transform the SCM into a living, breathing entity. MyTwin becomes the multi-faceted manifestation of this intelligence – a conversational layer sitting atop the SCM, much like ChatGPT’s relationship to foundational LLMs. MyTwin can revolutionise every touchpoint in the customer-brand relationship:

  • Predictive next-best-actions throughout the customer journey
  • Dynamic recommendations across websites and apps
  • Hyper-personalised communications across all channels
  • Tailored microcontent in daily NeoMails
  • Contextually relevant questions in SmartBlocks for zero-party data collection
  • Precision advertising that feels like valuable content
  • Curated cross-brand recommendations

The fundamental shift: moving from segments, campaigns, and generic journeys to dynamic, personalised experiences with generative journeys which adapt in real-time – more like Google Maps continuously recalculating routes than following directions on a paper map.

This represents uncharted territory for marketers. By harnessing next-generation AI, we can finally realise the vision articulated 30 years ago in ” in The One to One Future: Building Relationships One Customer at a Time” by Don Peppers and Martha Rogers. When we look back, the 2000-2025 era of marketing will be seen as an aberration – a period marked by massive AdWaste in the relentless pursuit of growth.

MyTwin enables the transformation from the AAA era (acquisition, acquisition, acquisition) to the OOO era (Only Once/Ones). In doing so, it helps marketers achieve the trifecta of success:

  • Maximising customer lifetime value through deeper engagement
  • Minimising acquisition costs by preventing customer dormancy
  • Monetising attention through precision PII-based advertising

This marks the dawn of the NeoMartech/NeoAdtech era, where brands, not Big Tech, control the relationship with their customers. It promises an age of abundant profits as hundreds of billions in AdWaste are redirected to brand P&Ls, fundamentally reshaping the economics of digital marketing.

5

Example

I asked Claude to create a conversation between Ria and her eCommerce brand twin (MyTwin).

Ria: Hi MyTwin, I need some help with picking outfits for my upcoming business trip to Singapore next month.

Ria’s MyTwin: I know from your past purchases you prefer business casual that works in tropical weather. You usually choose navy and beige as base colors. How long is the trip?

Ria: It’s a 5-day trip, with mostly client meetings. But I also want to do some sightseeing over the weekend.

MyTwin: Given your schedule, I’d suggest 3 business outfits that can be mixed and matched, plus 2 casual ones. I notice the linen blazer you bought last summer worked well for you in similar weather. Would you like to build around that?

Ria: Yes, but I think I need new tops to go with it. The white one I usually pair it with is looking worn out.

MyTwin: I can help with that. Based on your style preferences and past purchases, here are a few suggestions:

  • A sleeveless silk blouse in ivory (it’s more durable than the cotton one you had)
  • A light blue wrap top that can work for both meetings and dinner
  • A moisture-wicking fitted tee in navy for casual days

I’ve also noticed you often look for pieces that can transition from work to evening events.

Ria: That’s right. And I’m trying to build a more sustainable wardrobe.

MyTwin: I’ll adjust the recommendations to focus on quality pieces that last longer. Also, I know you usually wear size M, but for this brand’s wrap tops, several customers with your build found the S more flattering. Would you like to see both options?

Ria: Yes, please. And what about bottoms? I’ll need something comfortable for the weekend sightseeing.

MyTwin: Given Singapore’s climate and your preference for comfort, I’d recommend the breathable stretch trousers that just launched – similar to the black ones you loved last year but in a lighter fabric. They’ve received great reviews from other business travelers. For weekends, remember those linen culottes you saved to your wishlist? They’re now on sale and would pair perfectly with both the navy tee and wrap top.

Ria: Perfect! Can you also suggest some accessories that won’t take up too much luggage space?

MyTwin: Based on your minimalist accessory style, I’d recommend:

  • The convertible crossbody bag you were eyeing last month (it’s back in stock in the tan color you prefer)
  • A lightweight printed scarf that can dress up the basic tops
  • Your existing pearl studs work perfectly for meetings

By the way, I notice you usually buy new walking shoes before big trips. Your last pair was purchased 8 months ago – would you like to see some options that are both business-appropriate and comfortable for sightseeing?

I also asked Claude to showcase how Ria’s shopping experience typically works now.

  1. Receives multiple promotional emails daily from the brand, most featuring items irrelevant to her needs
  2. Browses website, having to:
    • Navigate through numerous category pages
    • Filter by size, color, occasion repeatedly
    • Read generic product descriptions
    • Scroll through pages of irrelevant items
  3. Adds items to cart, unsure about:
    • How pieces will work together
    • Whether sizes will be consistent
    • If items are appropriate for Singapore’s climate
    • Quality and durability
  4. Gets retargeted with ads showing exact items she already purchased or decided against
  5. Receives generic post-purchase emails suggesting random products rather than complementary pieces
  6. Has to start the entire process again for different categories (shoes, accessories, etc.)

**

The contrast highlights how MyTwin transforms the experience from transactional and fragmented to conversational and cohesive, while saving time and reducing purchase anxiety. Instead of Ria adapting to the brand’s structure and processes, MyTwin adapts to Ria’s needs and preferences.

Thinks 1483

Gulzar: “Consider the fundamental question facing government officials in a few departments. What’s required to achieve student learning outcomes and create a skilled and employable workforce? What’s required to deliver good quality public health and sanitation to prevent epidemics, maternal and child health, and diagnostic-cum-treatment services? What’s required to improve crop productivity and raise farmer incomes? What’s required to ensure hassle-free access to good quality municipal facilities and services? Education, Health, Agriculture, and Municipal Administration officials must figure out the answers to their respective fundamental challenges and then execute them. Let’s use a framework to analyse each sector. Government departments apply inputs, including those from programs and schemes, and undertake a set of tasks. The department’s theory of change is that their effective combination would lead to its desired outcomes.”

Arnold Kling: “I teach that the profitability of an asset is equal to its rental rate plus its appreciation rate minus the interest rate. For example, suppose you invest $400,000 in an apartment on which you can collect $20,000 a year in rent. Then the rental rate is 5 percent. If the rent and the market price of the apartment each go up at 2 percent per year, then the appreciation rate is 2 percent. And if the interest rate that you pay to finance the property (or the opportunity cost that you give up by not earning interest on money you have tied up in the property) is 6 percent, then that is the interest rate in my basic formula. In this example, the profitability = 5 + 2 – 6 = 1 percent. The apartment is a good investment, because profitability is greater than zero…An asset is a hedge against inflation if and only if it can be relied on to appreciate more if inflation takes off. So-called “real” assets are supposed to do that. These include gold (or commodities in general), stocks, Bitcoin, real estate, and inflation-indexed bonds (TIPs).”

Vasant Dhar: “What makes general intelligence uniquely challenging for us to govern is the fact that its design lacks a specific purpose. Previous technologies, including previous AI machines, were created with a purpose, such as medical diagnosis, engineering design, planning, customer support, and so on. We could turn off such applications at will when they didn’t satisfy our goals or expectations or became obsolete. In contrast, current pre-trained AI machines are the first ever to be designed with no other goal than to be able to converse with us intelligently. Everyone relates to it, and it is intertwining itself rapidly into our lives. At a high school recently, no homework was turned in one day because ChatGPT wasn’t available. Fort children coming of age post 2022, AI is interacting with their brains all the time. They’re going increasingly to AI over humans for answers, entertainment, and even companionship. There’s no going back or turning it off. It’s here to stay, so it’s a good time to think about whether we need new laws or guardrails for AI.”

RestOfWorld: “With over 2 billion users, WhatsApp is not just the most popular messaging app in the world — it’s a digital lifeline. Its closest competitors, WeChat (1.3 billion users) and Facebook Messenger (1 billion users), pale in comparison. In many parts of the world, WhatsApp is synonymous with the internet itself. For Nigerian content creators, Brazilian shopkeepers, and Indian aunties, it is often the only app they need. On WhatsApp, you can chat with friends and family, attend school, run a business, catch up on the news, shop, and even bank. Increasingly, it’s where people watch TV, book medical appointments, and arrange dates…WhatsApp, originally developed as a lightweight tool for sending simple texts to friends, has by now become something infinitely bigger, more complicated, and more surprising. The app has been repurposed and remade by niche communities and for diverse cultural activities in ways that many in the West could never imagine — and in ways that its creators never expected.” More: “It’s still early days, but WhatsApp’s efforts to generate revenue this way are beginning to pay off. Meta now makes billions of dollars from the “click-to-message” ads that businesses purchase. Meta also charges tens of thousands of large enterprises, from Air France to Volvo, to send messages through its premium API, which includes a full suite of marketing, payment, and other features. While Meta’s paid messaging tools brought in about $1 billion last year — peanuts compared to the whopping $132 billion the company earned from ads — paid messaging revenue is growing far faster than ad revenue and has more than doubled since early 2023.”

Can NeoAdtech create India’s First Trillion Dollar Company?

Published January 22, 2025

1

The Question

In an article in FT entitled “Can Europe build its first trillion-dollar start-up?”, Ian Hogarth wrote: “To avoid repeating past mistakes, and ensure that the next era of innovation can be built to deliver the continent’s first trillion-dollar company, one thing is crucial: Europe needs to celebrate and support experienced founders who are building and investing in the highest-risk, highest-reward ideas.” He added: “To give itself the best chance of creating one of those truly iconic companies, [Europe] must create as many $100bn companies such as Spotify as possible. Things need to happen urgently as time is running out to stay in the race. Europe must now build these remarkable vehicles of scientific progress and economic growth — not only to grow the tech industry, but to power its nations to be more prosperous as a whole. If it does, we could soon be living in a world powered by European-built nuclear fusion power plants or solving some of science’s most complex problems with quantum computers that have been developed in London or Munich…The key is to cherish the role of experienced founders, celebrate when they fund the riskiest and most important tech, stop selling the most precious companies to US acquirers and turn an already powerful innovation engine into a harder-edged ambition to keep scaling in Europe.”

Pieter Garicano added (in response to the FT essay): “Every ‘trillion dollar start-up’ has reinvented itself. Google didn’t rely on PageRank alone — it went on to build YouTube, AdSense and Android. Microsoft now makes more money through Azure and its cloud services than Windows. NVIDIA started making gaming hardware and is now the world’s largest AI company. Many of these attempts were not successes. Apple’s driverless car ambitions, Google’s various social-media forays and Meta’s VR products are all failures. Over the long term, whether a company grows is a function of whether it continues to adapt. If it wants its trillion dollar company, Europe probably needs to let its biggest firms take bold bets that fail.”

The article (and question) sparked an intriguing thought: What would it take to build a trillion-dollar company, not from Silicon Valley, but from India? While skeptics may highlight India’s limited roster of $100 billion market cap companies, this view overlooks the transformative moment we are witnessing. The AI revolution is not merely another technological wave—it represents a fundamental reimagining of human-machine capabilities, poised to reshape every industry at a pace and scale even greater than the Internet revolution. This is India’s opportunity to lead, leveraging its unique advantages to birth a global giant that redefines the future of innovation and economic growth.”

**

In this series, I will chart an ambitious vision: how India can birth a trillion-dollar company by revolutionising marketing – the lifeblood of every business in the world. As AI rewrites the rules of customer engagement and business growth, the opportunity exists to create not just another tech giant, but a new category of company that transforms how brands acquire, retain, and multi-monetise their customers. The timing, the market, and the technological inflection point have converged to make this moonshot not just possible, but inevitable.

2

Titans – 1

Apple, Nvidia, Microsoft, Alphabet (Google), Amazon, Saudi Aramco, Meta, Tesla, TSMC, Broadcom, and Berkshire Hathaway [Source, as of Jan 19, 2025.] What’s the common thread uniting these companies? Their market cap exceeds the coveted trillion-dollar milestone.

Of these 11 giants, 8 are technology-driven, and arguably 9 if one categorises Tesla as more of a tech innovator than a carmaker. Within this elite club, three companies—Google, Meta, and Amazon (partially)—derive significant revenues from digital advertising. The global digital ads market, already valued at $700 billion in revenue, is on track to hit $1 trillion in the next 3-4 years, underscoring its pivotal role in shaping these trillion-dollar behemoths.

I asked ChatGPT, Claude, and Perplexity what makes for trillion-dollar companies.

ChatGPT

The “4C Flywheel” – Core, Competence, Culture, and Catalysts

  1. Core: Unshakable Market Need
  • Trillion-dollar companies solve foundational problems or meet universal needs at an unmatched scale. For instance:
    • Apple: Seamless, user-friendly design that redefined personal computing and mobile ecosystems.
    • Amazon: Convenience and trust in e-commerce logistics and cloud infrastructure.
    • Nvidia and Broadcom: Fueling the AI revolution with cutting-edge chips.
  1. Competence: Technological and Operational Excellence
  • These companies build sustainable competitive advantages through:
    • Technological Leadership: Continuous innovation that disrupts markets (e.g., Tesla in EVs and autonomy).
    • Economies of Scale: Operational efficiency that becomes hard to replicate (e.g., AWS in cloud computing).
    • Platform Dominance: Creation of ecosystems that lock in customers and create network effects (e.g., Alphabet with Google Search and YouTube).
  1. Culture: Visionary Leadership and Resilient DNA
  • Leadership with audacious visions and the ability to execute against long-term goals:
    • Microsoft’s Satya Nadella: Pivoted from software to cloud-first, AI-first strategies.
    • Nvidia’s Jensen Huang: Bet on AI when it was still nascent.
  • A company culture that embraces:
    • Risk and Innovation: Willingness to disrupt themselves (e.g., Meta transitioning to the metaverse).
    • Customer-Centricity: Obsession with user experience (e.g., Apple and Amazon).
  1. Catalysts: Timing and Tailwinds
  • Timing plays a critical role, amplified by favourable macroeconomic and technological trends:
    • Digital Transformation: Enabled companies like Microsoft, Alphabet, and Amazon to dominate.
    • Energy Transition: Propelling Tesla and companies like TSMC, which fuel innovation in semiconductors.
    • Advertising Shift: Google, Meta, and Amazon rode the wave of digital ad spend growth.

Key Ingredients in the Recipe

  1. Massive TAM (Total Addressable Market): Trillion-dollar companies operate in industries with multi-trillion-dollar TAMs, often expanding them further (e.g., the global advertising or cloud market).
  2. Economic Moats: Durable moats such as intellectual property, brand power, platform lock-in, and network effects ensure longevity.
  3. Global Reach: These companies leverage global markets for exponential scale, often becoming indispensable to businesses or consumers worldwide.
  4. AI and Data Mastery: A growing theme among trillion-dollar companies is the ability to harness AI and data at scale to create smarter, faster, and more personalised experiences.

Framework for Growth to $1 Trillion

  • First $10 Billion: Prove the product-market fit with high-growth adoption.
  • $10–$100 Billion: Scale operations globally with efficient execution.
  • $100 Billion–$1 Trillion: Dominate through platforms, ecosystems, and continuous disruption.

Claude

Trillion-dollar companies emerge at the intersection of three critical factors:

  1. Network Effects + Scale Advantages
  • They create or control platforms/ecosystems that become more valuable with each additional user
  • Examples:
    • Apple’s iOS ecosystem locks in users and developers
    • Meta’s social networks become more valuable as more people join
    • Microsoft’s Windows/Office dominance creates switching costs
    • TSMC’s manufacturing expertise creates dependency from chip designers
  1. High-Margin Core Business + Reinvestment Capacity
  • They have a highly profitable core business that generates massive cash flow
  • This allows them to:
    • Fund R&D and innovation (Google’s moonshots)
    • Acquire potential competitors (Meta buying Instagram/WhatsApp)
    • Build moats through infrastructure (Amazon’s logistics)
    • Weather downturns while maintaining investment
  1. Market Position in Secular Growth Areas
  • They dominate markets that are themselves expanding rapidly
  • Examples:
    • Nvidia and Broadcom in AI computing
    • Microsoft/Amazon in cloud computing
    • Saudi Aramco in energy (though this may change with energy transition)
    • TSMC in semiconductor manufacturing

Supporting Patterns:

  1. Timing Advantage
  • Most became dominant early in transformative technological waves
  • First-mover or early-mover advantage in their spaces
  • Built strong brands during periods of rapid tech adoption
  1. Data/Infrastructure Moats
  • Control of crucial digital or physical infrastructure
  • Accumulation of valuable user data
  • High barriers to entry for competitors
  1. Management/Culture
  • Strong founder influence or exceptional management continuity
  • Culture of continuous innovation
  • Ability to adapt core business model while maintaining profitability

Interesting Counter-Examples:

  • Berkshire Hathaway breaks this pattern – succeeded through financial acumen and conglomerate model
  • Saudi Aramco represents old-economy success through resource control

3

Titans – 2

Perplexity

  1. Product Differentiation

Successful trillion-dollar companies often offer unique products or services that stand out in the marketplace. This differentiation allows them to attract and retain customers, as consumers are more likely to choose products they perceive as superior or distinct from competitors

  1. Visionary Capital

These companies excel in attracting “visionary capital,” which refers to investment based on a bold and clear vision. This capital enables them to innovate and grow without the immediate pressure of short-term profitability, allowing for long-term strategic planning and development.

  1. Global Reach

To achieve a trillion-dollar valuation, companies must have an international presence. They need products or services that resonate across different cultures and markets, facilitating expansion beyond their home country. For instance, Apple generates a significant portion of its revenue from international sales.

  1. Likability and Reputation

A positive public perception can significantly impact a company’s success. Companies that are viewed favorably by consumers, regulators, and the media often navigate challenges more effectively and maintain strong customer loyalty. This likability can mitigate backlash during controversies or regulatory scrutiny.

  1. Talent Acquisition and Development

Attracting top talent is crucial for innovation and growth. Companies that are perceived as career accelerators—offering opportunities for personal and professional growth—tend to attract skilled employees who drive the company’s success. Investment in learning and development (L&D) initiatives is essential for fostering a capable workforce.

  1. Innovative Market Creation

As articulated by Jensen Huang of Nvidia, creating a new market rather than competing in existing ones is vital. Companies should focus on solving problems that have not yet been addressed, which can lead to the establishment of entirely new industries or sectors. This requires a commitment to long-term projects with uncertain outcomes.

  1. Geographic Advantage

Proximity to leading universities and research institutions fosters collaboration and innovation. Many trillion-dollar companies are located near top engineering schools, which helps them attract talent and engage in cutting-edge research.

  1. Long-Term Commitment

Successful companies often pursue ambitious goals that require sustained effort over time. This long-term commitment allows them to navigate challenges and capitalize on emerging opportunities without being deterred by short-term setbacks.

**

We can distil these inputs into a playbook for trillion-dollar companies. (Written with inputs from ChatGPT and Claude.)

  1. Foundational Value Creation at Universal Scale
  • Address fundamental human/business needs with unmatched scale and differentiation
  • Target and expand massive TAMs (multi-trillion dollar markets)
  • Examples: Apple (computing/mobile), Tesla (sustainable transport/energy), Nvidia (AI computing)
  • Create category-defining solutions, not just incremental improvements
  1. Network Effects + Compounding Moats
  • Build self-reinforcing ecosystems where value grows exponentially with users
  • Create multiple layers of competitive advantage:
    • Platform lock-in (iOS, Windows)
    • Data/infrastructure dominance (TSMC, AWS)
    • High switching costs (Microsoft enterprise, Apple ecosystem)
  • Control crucial chokepoints in their value chains
  1. High-Margin Core + Reinvestment Engine
  • Establish highly profitable core businesses generating massive cash flow
  • Deploy capital strategically for:
    • Continuous R&D and innovation
    • Infrastructure and moat building
    • Strategic acquisitions
    • Weathering downturns while maintaining investment
  • Create virtuous cycles where profits fuel growth which increases profits
  1. Visionary Leadership + Perfect Timing
  • Leaders who make bold, non-obvious bets on emerging trends (like Musk with Tesla’s early bet on EVs)
  • Early entry into transformative waves:
    • Cloud computing (Amazon, Microsoft)
    • AI revolution (Nvidia)
    • Digital advertising (Google, Meta)
    • Clean energy transition (Tesla)
  • Culture that combines innovation with operational excellence
  • Ability to adapt and pivot while maintaining core strengths

4

Formula – 1

Let’s begin with the fundamental math of creating a trillion-dollar company. Here’s what it takes: imagine a company capturing 10% of a trillion-dollar market, generating $100 billion in annual revenue. With a robust 25% year-over-year growth rate and healthy 20% EBITDA margins, it scores 45 on the Rule of 40 (growth rate + EBITDA margin) – well above the benchmark for high-performing software companies. At these metrics, the company would command premium multiples: either 10X revenue or 50X earnings on $20 billion in annual profits. Either path leads to the same destination: a trillion-dollar market capitalisation.

Is such a company possible in the next decade? Yes. And the path to this trillion-dollar milestone runs through what I call NeoAdtech: the convergence of AI, digital advertising, and customer engagement that will fundamentally reshape how businesses grow.

**

Before I put forth my views on how to make it happen, I decided to ask Claude and ChatGPT about how NeoAdtech could create a trillion-dollar market cap company.

Claude

  1. Massive Total Addressable Market (TAM)
  • The global digital advertising market is already $700 billion and growing to $1 trillion
  • An estimated $350-560 billion of this represents “AdWaste” that could be redirected
  • NeoAdtech could tap into both existing ad spend and unlock new revenue through ActionAds and brand monetization
  • The market opportunity extends beyond just advertising into the entire customer engagement and retention space
  1. Network Effects & Compounding Moats

NeoAdtech could build powerful network effects through:

  • BEAN (Brand Email Ad Network) creating a self-reinforcing ecosystem of publishers and advertisers
  • Zero-party data collection creating increasingly valuable customer insights
  • AI Twins becoming more intelligent with each interaction
  • ActionAds becoming more effective as more brands join the network
  1. High-Margin Core Business + Reinvestment Capacity

The ZeroCPM model combined with ActionAds could create exceptional margins through:

  • No upfront costs for email sending
  • Revenue sharing from advertising
  • Scalable AI-powered content generation
  • Multiple revenue streams (advertising, reactivation, data insights)
  1. Platform Control & Infrastructure

NeoAdtech could establish crucial control points through:

  • Owning the critical engagement channel (email)
  • Building comprehensive customer understanding through AI Twins
  • Creating the infrastructure for zero-party data collection
  • Enabling direct brand-customer relationships without intermediaries
  1. Perfect Timing & Market Position

Several factors create an ideal moment:

  • Growing frustration with Big Adtech’s rising costs
  • Increasing privacy regulations favoring first-party relationships
  • AI technology reaching maturity for true personalization
  • Brands seeking alternatives to Google/Meta dominance
  1. Innovation & Category Creation

NeoAdtech represents true category innovation by:

  • Transforming email from a communication channel to an engagement platform
  • Creating new advertising formats with ActionAds
  • Enabling true N=1 personalization through AI Twins
  • Building a decentralized alternative to walled gardens

To achieve trillion-dollar scale, a NeoAdtech company would need to:

  1. Capture significant market share from traditional adtech spending
  2. Create new revenue streams through ActionAds and brand monetization
  3. Build powerful network effects through BEAN
  4. Establish global reach while maintaining high margins
  5. Continue innovating in AI and personalization technology

The pathway to a trillion dollars would require executing flawlessly on this vision while scaling globally. The opportunity exists because NeoAdtech addresses fundamental problems in digital marketing while creating new value through innovation – key characteristics of other trillion-dollar tech companies.

The success of such a venture would depend heavily on execution, particularly in:

  • Building the technical infrastructure at scale
  • Driving brand and consumer adoption
  • Creating sustainable competitive advantages
  • Maintaining innovation while scaling
  • Managing regulatory compliance globally

5

Formula – 2

ChatGPT

NeoAdtech—the revolutionary integration of AI, zero-party data, and retention-focused marketing—has the potential to redefine the global advertising and engagement ecosystem, laying the foundation for a trillion-dollar company. By addressing the structural inefficiencies of traditional adtech and transforming the inbox into a decentralised engagement hub, NeoAdtech aligns with the critical attributes of today’s trillion-dollar companies.

  1. A Universal Market Need with Massive TAM Expansion

The global digital advertising market, valued at $700 billion, is expected to surpass $1 trillion in the next 3-4 years. NeoAdtech can carve a significant share of this market by:

  • Eliminating AdWaste: Redirecting the billions spent on reacquisition and inefficient targeting into efficient, retention-driven marketing.
  • Unlocking New Revenue Streams: Through innovations like ActionAds, NeoAdtech enables brands to monetise their own ecosystems, tapping into incremental revenue opportunities.
  • Creating a New Ecosystem: By focusing on customer retention and engagement, NeoAdtech expands the total addressable market (TAM) beyond traditional digital advertising into retention marketing, ethical data monetisation, and AI-driven personalisation.

Capturing just 10% of this trillion-dollar market translates to $100 billion in annual revenue—a cornerstone for achieving a trillion-dollar valuation.

  1. Network Effects and Compounding Moats

NeoAdtech builds on key principles that have defined trillion-dollar companies:

  • Self-Reinforcing Ecosystems: The more brands adopt NeoMails and ActionAds, the richer the network of interconnected customer touchpoints becomes, enhancing value for all participants.
  • Zero-Party Data Advantage: Unlike traditional adtech platforms reliant on third-party cookies, NeoAdtech leverages voluntary, trust-driven data sharing, creating a moat that is both regulatory-compliant and customer-centric.
  • Infrastructural Dominance: By integrating with AI-driven platforms and CRM systems, NeoAdtech locks in brands, making the cost of switching prohibitive.

These moats ensure sustained market leadership, echoing the success of platforms like AWS in cloud computing or Nvidia in AI.

  1. High-Margin Core with Reinvestment Potential

NeoAdtech inherently operates as a high-margin business:

  • Revenue Efficiency: ActionAds and AI Twins generate recurring revenues with minimal incremental costs.
  • Data Monetisation: Zero-party data collected through NeoMails becomes a valuable asset, opening doors for premium services like predictive analytics and hyper-personalised customer journeys.
  • Scalable AI Models: Once trained, AI Twins and personalisation engines can scale across geographies and industries with limited operational expenses.

This cash flow can be reinvested into R&D, infrastructure, and strategic acquisitions, fueling sustained growth and innovation.

  1. Visionary Leadership and Timing

NeoAdtech benefits from perfect timing:

  • The AI Revolution: AI is reshaping customer engagement at an unprecedented pace, offering a once-in-a-generation opportunity to redefine marketing.
  • Privacy and Trust Imperative: With global regulations like GDPR and CCPA, there is a growing demand for ethical, privacy-first marketing solutions—an area where NeoAdtech excels.
  • Shift from Acquisition to Retention: Rising CAC is pushing brands to prioritise retention, making NeoAdtech’s focus on engagement and LTV highly relevant.

A visionary leadership team, capable of aligning these trends with bold, customer-first strategies, can turn NeoAdtech into the next trillion-dollar company.

  1. Monetisation Pathways

NeoAdtech’s model creates multiple revenue streams:

  • Platform Subscription: NeoAdtech-as-a-Service (NaaS) platforms offering NeoMail and AI Twin solutions to brands.
  • Ad Revenue: Revenue-sharing agreements for ActionAds embedded in NeoMails.
  • Data Insights: Premium analytics products for brands based on aggregated zero-party data.
  • Partnership Ecosystems: Collaborative monetisation opportunities with non-competing brands, akin to Apple’s App Store model.

This diversity of revenue sources aligns with the approaches of other trillion-dollar companies like Google and Amazon, ensuring stability and scalability.

  1. Scaling to a Trillion-Dollar Valuation

To achieve a trillion-dollar valuation, NeoAdtech must follow the proven framework for scaling:

  1. First $10 Billion: Achieve product-market fit by onboarding early adopters and demonstrating ROI through pilot programs.
  2. $10–$100 Billion: Scale globally, expanding adoption across industries and geographies. Build strategic partnerships with CRM providers and AI platforms.
  3. $100 Billion–$1 Trillion: Dominate through platform effects, creating an indispensable ecosystem that locks in brands and drives network value.

NeoAdtech’s focus on retention, monetisation, and AI-driven innovation positions it to grow exponentially while maintaining profitability, satisfying the “Rule of 40” criteria for high-growth companies.

The Bigger Picture

NeoAdtech’s transformative potential lies in its ability to shift the focus of marketing from transactional to relational, creating sustainable value for brands and consumers alike. By combining universal relevance, high margins, and scalable network effects, NeoAdtech is uniquely positioned to become India’s first trillion-dollar company—or even a global one.

The convergence of AI, privacy, and engagement represents the next frontier in marketing. NeoAdtech doesn’t just follow the path of trillion-dollar companies—it paves a new one.

6

Profit Paradox

Digital advertising stands as one of history’s most profitable business innovations, rivalled perhaps only by Saudi Aramco’s oil monopoly. The numbers tell a compelling story: Google and Meta alone capture hundreds of billions in annual ad revenue, while Amazon has rapidly built a massive advertising business leveraging its marketplace dominance. This triumvirate’s success (among the trillion-dollar market cap companies) demonstrates digital advertising’s extraordinary potential for value creation and profit generation.

However, beneath this glittering surface lies a troubling reality that receives surprisingly little scrutiny. The industry harbours massive inefficiencies, with an estimated 50-80% of all digital ad spending qualifying as “AdWaste” – resources squandered on wrong targeting or unnecessary reacquisition. This represents an annual waste of $350-560 billion, a staggering sum that could fund remarkable innovation for brands if redirected properly.

The root of this inefficiency lies in how Google and Meta have engineered their platforms. They’ve created sophisticated black boxes that optimise for their profits rather than advertisers’ success. Brands pour money into these platforms but receive limited visibility into who actually sees their ads. The platforms provide superficial metrics like clicks and impressions while obscuring crucial details about audience quality and true conversion potential.

This opacity creates a vicious cycle. As Customer Acquisition Cost (CAC) steadily rises, brands feel compelled to spend even more to maintain growth trajectories. Marketing teams, under pressure to deliver short-term results, keep feeding the machine despite diminishing returns. The result? Brands sacrifice long-term profitability for immediate revenue growth, while Google and Meta’s revenues, margins, and profits continue to expand.

Most concerning is how this dynamic particularly impacts established brands. They often unknowingly pay premium prices to reach customers already in their databases – essentially renting access to their own audiences through expensive bidding systems. This reacquisition treadmill represents perhaps the greatest waste in modern marketing, yet it persists because brands lack viable alternatives for customer engagement.

The system’s brilliance from the platforms’ perspective lies in its addictive nature. Like perfectly engineered casino games, these advertising platforms provide just enough wins to keep marketers betting while ensuring the house always wins in the long run. The combination of opacity, automation, and immediate feedback creates an almost irresistible pull, even as the true costs to brands continue to mount.

This situation creates both a crisis and an opportunity. While the waste is staggering, it also points to the potential for disruption. Any solution that could help brands escape this costly cycle while maintaining or improving their growth would be enormously valuable. The question isn’t whether the digital advertising model will be disrupted, but when and by whom.

This is where NeoAdtech comes in.

7

Innovations

NeoAdtech represents a radical reimagining of the relationship between brands, customers, and technology providers. At its core lies a revolutionary concept: building direct customer relationships through free products offered to brands. This inverts the traditional B2B software model, where vendors charge businesses for their solutions. Instead, NeoAdtech introduces a zero-cost model monetised through highly targeted advertising.

Two breakthrough innovations power this transformation.

NeoMails: Building Brand Hotlines

NeoMails reinvents email from a simple communication channel into an interactive engagement platform. These daily 15-second engagement vehicles create “hotlines” between brands and their customers through:

  • AI-powered microcontent that delivers genuine value
  • Interactive elements that capture attention and data
  • Atomic Rewards (Mu) that uses gamification to drive habitual engagement
  • ActionAds that generate revenue through precise targeting

While brands maintain ownership of these properties, the NeoAdtech vendor manages all aspects of content creation, delivery, and monetisation. This zero-effort model allows brands to maintain consistent customer connections without straining internal resources.

AI Twins: Digital Replicas for N=1 Personalisation

AI Twins evolve through three stages:

  • Adtech Twins built from public data
  • Madtech Twins incorporating marketing insights
  • Singular Twins enabling true one-to-one personalisation

A groundbreaking variant, “MyTwin,” allows end customers to converse directly with AI versions of themselves. Imagine being able to tell the brand (through the twin) one’s desires and wants. This creates unprecedented opportunities for understanding customer intent while enabling highly targeted advertising based on declared preferences rather than inferred behaviour.

Three Revolutionary Elements

  1. B2C via B2B Strategy
  • Reaches consumers through trusted brand relationships
  • Creates massive scale through existing customer bases
  • Enables data collection with proper consent and context
  • Builds engagement through familiar channels
  1. AI-Powered Experiences
  • Generates personalised content at scale
  • Enables natural conversational interactions
  • Delivers consistent value through automation
  • Creates engaging daily micro-moments
  1. PII-Based Advertising
  • Enables precise targeting through authenticated identity
  • Eliminates waste from poor targeting
  • Creates transparent value exchange
  • Respects privacy while improving relevance

Both innovations (NeoMails and MyTwin) share crucial characteristics:

  • Zero cost to brands
  • Minimal implementation effort
  • Valuable customer experiences
  • Transform “one and done” transactions into lasting, trusted relationships
  • Zero-party data collection
  • Enhanced customer lifetime value (LTV)
  • Reduced customer acquisition costs (CAC)
  • Revenue generation through advertising

This combination creates a powerful platform capable of reaching billions of users while generating trillions of monetisable moments. By addressing both AdWaste and opacity, NeoAdtech delivers value across the ecosystem:

For Brands:

  • Stronger customer relationships
  • New revenue streams
  • Reduced marketing costs
  • Better customer understanding

For Customers:

  • Personalised experiences
  • Valuable daily content
  • Relevant advertising
  • Control over data

For Advertisers:

  • Precise targeting
  • Transparent results
  • Engaged audiences
  • Cost-effective reach

For the NeoAdtech Platform:

  • Massive scale potential
  • Multiple revenue streams
  • Network effects
  • Sustainable advantages

NeoAdtech thus represents more than just another marketing technology—it’s a fundamental reimagining of how brands engage with customers and how digital advertising creates value. By solving core inefficiencies in today’s digital marketing landscape while creating new opportunities for engagement and monetisation, it has the potential to reshape the entire industry.

The key innovation lies in its ability to align incentives across all participants while eliminating the waste and opacity that plague current systems. This creates a sustainable ecosystem where value flows to those who create it rather than being extracted by intermediaries.

The big question: can a NeoAdtech company emerging from India create a $100 billion revenue company with a trillion-dollar market cap?

8

India Advantage

India offers unique advantages as the launchpad for a NeoAdtech revolution. While Silicon Valley has dominated digital innovation for decades, several factors converge to make India the ideal testing ground and initial market for NeoAdtech:

Market Scale and Digital Maturity

  • 300+ million digital consumers and growing rapidly
  • High engagement with digital services and commerce
  • Mobile-first population comfortable with digital interactions
  • Rapid adoption of new technologies and platforms
  • Growing middle class with increasing purchasing power

Vibrant Brand Ecosystem

  • Thriving ecosystem of category-leading D2C brands
  • Mix of established players and innovative startups
  • Growing focus on customer engagement and retention
  • Increasing sophistication in digital marketing
  • Rising CAC creating urgency for solutions

Tech Foundation

  • World-class software development capabilities
  • Growing expertise in AI-ML
  • Deep talent pool in engineering and data science
  • Strong foundation in email and marketing technology
  • Track record of building scalable digital platforms

Marketing Tech Leadership

  • Significant investments in adtech and martech
  • Successful homegrown martech companies
  • Understanding of both global and local market needs
  • Experience in building and scaling B2B platforms
  • Innovation in customer engagement solutions

Capital Availability

  • Active venture capital ecosystem
  • Growing private equity interest
  • Maturing public markets welcoming tech companies
  • Multiple paths to funding growth
  • Increasing global investor attention

Entrepreneurial DNA

  • Culture of innovation and problem-solving
  • History of building global technology companies
  • Ability to adapt global ideas for local markets
  • Strong focus on capital efficiency
  • Track record of scaling businesses profitably

Unique Advantages

  • Cost-effective testing and iteration
  • Large, English-speaking customer base
  • Balance of scale and sophistication
  • Proven ability to innovate frugally
  • Bridge between developed and emerging markets

Most importantly, India combines the scale needed to build a massive business with the pain points that make NeoAdtech compelling. Indian brands face the same challenges with rising CAC and AdWaste as their global counterparts, but often with tighter margins that make the problem more acute. This creates perfect conditions for testing and refining NeoAdtech solutions before global expansion.

The opportunity isn’t just about building a successful Indian company—it’s about creating a global leader that happens to be born in India. Just as China produced consumer tech giants and Israel birthed enterprise software leaders, India has the potential to create the next revolution in marketing technology.

By starting in India but thinking globally from day one, a NeoAdtech company can:

  • Perfect its product with sophisticated yet cost-conscious customers
  • Build robust technology that scales efficiently
  • Develop solutions that work across diverse markets
  • Create sustainable competitive advantages
  • Establish the foundation for global leadership

The question isn’t whether India can produce a trillion-dollar company, but rather which sector will create it. NeoAdtech, with its potential to transform how brands engage with customers worldwide while solving the massive inefficiencies in digital advertising, presents a compelling pathway to that milestone.

9

Math and Path

The mathematics behind NeoAdtech’s trillion-dollar potential starts with its extraordinary reach and frequency. Consider the global landscape: approximately 2 billion digital consumers, each maintaining 15-20 brand relationships. This creates the foundation for an unprecedented scale of engagement.

Daily Engagement Scale: NeoMails can deliver a daily touchpoint for each of these brand relationships. Simple multiplication reveals the staggering potential: 2 billion global consumers × 15 brand relationships × 1 daily email = 30 billion daily engagement opportunities. Half of these moments can be used for zero-party data collection through SmartBlocks, while the other half can host ActionAds, creating 15 billion daily monetisable moments through advertising alone.

MyTwin Interactions: Running parallel to NeoMails, MyTwin enables deeper, conversational engagement. With users typically engaging 10-15 times monthly with their AI Twins, this creates another massive pool of high-value interactions. These conversations, being intent-driven and personal, create perfect moments for relevant advertising and data collection.

Combined, NeoMails and MyTwin generate approximately 1 trillion monetisable moments monthly. The critical question becomes: Can these moments command premium advertising rates, specifically $10 CPM (Cost Per Thousand impressions), to generate $10 billion in monthly revenue?

Premium Value Proposition

Several factors suggest this pricing is achievable:

  • PII-based targeting enables unprecedented precision
  • Zero-party data allows true N=1 personalisation
  • In-email actions eliminate conversion friction
  • Complete transparency in ad delivery and performance
  • Elimination of AdWaste through “Only Once/Ones” marketing

Sustainable Advantages

The model creates powerful defensive moats:

  • Atomic Rewards (Mu) gamifies engagement and creates habit loops
  • Email’s unique position as an open push channel
  • Network effects through BEAN (Brand Email Ad Network)
  • AI-powered personalisation at scale
  • Zero-party data advantages

Operational Excellence

India provides crucial advantages:

  • Cost-effective content oversight
  • Strong AI-ML capabilities
  • Scalable technology infrastructure
  • Deep talent pool
  • Capital efficiency

By capturing just 10% of the trillion-dollar digital advertising market through this innovative approach, NeoAdtech can create a $100 billion revenue business. With the growth rates and margins inherent in this model, a trillion-dollar market capitalisation becomes not just possible, but probable.

Most importantly, this isn’t just financial engineering—it’s about solving fundamental problems in digital marketing:

  • Eliminating waste in advertising spend
  • Creating genuine customer engagement
  • Enabling true personalisation
  • Providing complete transparency
  • Building sustainable customer relationships

The combination of massive scale, premium pricing power, sustainable advantages, and operational excellence makes the trillion-dollar vision achievable. By pioneering a completely new way of solving universal business challenges, NeoAdtech can create extraordinary value for brands, consumers, and investors alike.

The path to a trillion-dollar valuation is clear: build the technology, prove the model, scale globally, and transform how businesses connect with customers. With India’s unique advantages as a launching pad, the journey begins now!

10

Thesis Test

I asked Claude and ChatGPT to test NeoAdtech against the key characteristics of trillion-dollar companies identified earlier.

Claude

  1. Foundational Value Creation at Universal Scale
  • ✓ Addresses fundamental business need: customer acquisition and retention
  • ✓ Targets massive TAM: $700B digital advertising market growing to $1T
  • ✓ Creates new category rather than incremental improvement
  • ✓ Potential to reach billions of users through email and AI Twins
  • ✓ Solves universal problem every business faces
  1. Network Effects + Compounding Moats
  • ✓ BEAN (Brand Email Ad Network) creates self-reinforcing ecosystem
  • ✓ Zero-party data creates growing intelligence advantage
  • ✓ AI Twins become smarter with each interaction
  • ✓ Atomic Rewards (Mu) builds habitual engagement
  • ✓ Email as open protocol prevents platform lock-in by competitors
  1. High-Margin Core + Reinvestment Engine
  • ✓ ZeroCPM model with revenue share from ActionAds
  • ✓ AI-powered content generation enables scale with low marginal cost
  • ✓ Multiple revenue streams (advertising, reactivation, data insights)
  • ✓ India base enables cost-effective operations
  • ✓ Potential for high EBITDA margins (20%+)
  1. Visionary Leadership + Perfect Timing
  • ✓ Timing aligns with:
    • Growing frustration with Big Adtech
    • Rising privacy concerns
    • AI technology maturity
    • Need for marketing transformation
  • ? Leadership and execution capability (to be proven)
  1. Market Position in Secular Growth Areas
  • ✓ Digital advertising continues rapid growth
  • ✓ AI and personalisation becoming critical
  • ✓ Email remains universal and growing
  • ✓ Customer retention increasing in importance
  • ✓ Privacy-first marketing gaining prominence
  1. Data/Infrastructure Moats
  • ✓ Zero-party data collection through daily interactions
  • ✓ AI Twins creating unique customer understanding
  • ✓ Email infrastructure at global scale
  • ✓ PII-based targeting advantage
  • ✓ Cross-brand insights through BEAN
  1. Global Reach Potential
  • ✓ Email works everywhere
  • ✓ Universal business need
  • ✓ Scalable technology
  • ✓ Cross-border applicability
  • ✓ India as initial market with global expansion path

Assessment

NeoAdtech aligns strongly with most characteristics of trillion-dollar companies:

  • Solves fundamental problem at massive scale
  • Creates powerful network effects
  • Enables high margins and reinvestment
  • Builds multiple defensive moats
  • Addresses growing market needs
  • Leverages perfect timing with AI and privacy trends

Key challenges to address:

  1. Execution capability and leadership
  2. Initial market adoption
  3. Global expansion strategy
  4. Competition from incumbents
  5. Regulatory compliance across markets

The analysis suggests NeoAdtech has the potential to achieve trillion-dollar status if executed properly. The combination of massive market opportunity, technological innovation, and sustainable advantages creates a compelling foundation for extraordinary value creation.

The critical next steps would be:

  1. Prove the model in India
  2. Demonstrate revenue potential of ActionAds
  3. Build the team and execution capability
  4. Create initial network effects
  5. Begin global expansion

ChatGPT

The NeoAdtech vision aligns strongly with the defining characteristics of trillion-dollar companies identified earlier. Here’s a comprehensive assessment based on the shared criteria:

  1. Foundational Value Creation at Universal Scale
  • Assessment: NeoAdtech addresses a universal business problem—inefficiencies in customer acquisition, retention, and monetisation. The $700 billion global digital advertising market (growing to $1 trillion) provides an enormous TAM. By focusing on eliminating AdWaste (estimated at $350–560 billion) and creating new engagement ecosystems, NeoAdtech establishes itself as a category-defining innovation rather than an incremental improvement.
  • Strength: Solves a universal problem with massive scalability through NeoMails, AI Twins, and ActionAds.
  • Opportunity: Expand beyond advertising into holistic customer engagement, retention marketing, and AI-powered personalisation.
  1. Network Effects + Compounding Moats
  • Assessment: NeoAdtech’s potential for self-reinforcing ecosystems is evident:
    • BEAN (Brand Email Ad Network): Creates a network of brands and advertisers where every new participant increases ecosystem value.
    • Zero-Party Data Moat: Continuous data collection through SmartBlocks and interactions with AI Twins enhances the system’s intelligence and precision.
    • Habitual Engagement: Features like Atomic Rewards (Mu) drive consistent consumer interaction, fostering long-term attachment to the ecosystem.
  • Strength: Builds powerful network effects that scale as adoption grows.
  • Opportunity: Strengthen cross-brand insights and shared monetisation models to deepen interdependencies.
  1. High-Margin Core + Reinvestment Engine
  • Assessment: NeoAdtech is inherently high-margin due to:
    • The ZeroCPM model, reducing costs for brands.
    • Scalable AI-driven content and advertising (ActionAds) generation.
    • Multiple revenue streams (advertising, reactivation, data insights).
  • Strength: High operating margins (20%+ potential) and a cash-flow-positive core provide reinvestment opportunities for R&D, infrastructure, and strategic acquisitions.
  • Opportunity: Prove profitability and demonstrate strong EBITDA growth through initial pilots.
  1. Visionary Leadership + Perfect Timing
  • Assessment: NeoAdtech benefits from a convergence of trends:
    • Rising frustration with Big Adtech’s costs and opacity.
    • Increasing regulatory pressures favouring privacy-first solutions.
    • AI technology reaching maturity for N=1 personalisation.
    • Growing emphasis on retention and customer lifetime value (LTV).
  • Strength: Perfect timing with industry-wide dissatisfaction and technological inflection points.
  • Opportunity: Establish a visionary leadership team capable of navigating the complexities of scaling globally while maintaining innovation.
  1. Market Position in Secular Growth Areas
  • Assessment: NeoAdtech operates at the intersection of growing markets:
    • Digital advertising and customer retention are increasing priorities.
    • Privacy-first marketing solutions align with regulatory and consumer expectations.
    • AI and personalisation are reshaping how brands engage customers.
  • Strength: Operates in markets poised for sustained growth.
  • Opportunity: Expand positioning to dominate customer retention and engagement markets, creating adjacent revenue streams.
  1. Data/Infrastructure Moats
  • Assessment: NeoAdtech’s data and infrastructure advantages include:
    • Zero-party data collected transparently and ethically.
    • AI Twins creating unmatched customer insights and engagement.
    • Global email infrastructure providing universal accessibility.
  • Strength: Builds defensible moats in data and infrastructure.
  • Opportunity: Strengthen PII-based targeting and cross-brand data insights to differentiate further.
  1. Global Reach Potential
  • Assessment: The universal nature of email ensures NeoAdtech’s global applicability. Starting in India offers:
    • A cost-effective testing ground with a sophisticated digital ecosystem.
    • A large, mobile-first population ready for engagement.
  • Strength: Global scalability with a proven initial market.
  • Opportunity: Develop a robust expansion strategy to adapt the model to Western and emerging markets.

Key Challenges

  1. Execution Capability: NeoAdtech must demonstrate flawless execution to prove its model in the initial market and scale globally.
  2. Leadership: Establishing visionary leadership to inspire investors, attract top talent, and navigate competitive pressures is critical.
  3. Regulatory Compliance: Navigating complex privacy and advertising regulations across geographies requires significant foresight and adaptability.
  4. Competition: Incumbents like Google and Meta may respond aggressively, leveraging their existing networks and resources.

Conclusion

NeoAdtech exhibits strong alignment with the core attributes of trillion-dollar companies:

  • A massive market opportunity with high-growth potential.
  • Robust network effects and scalable revenue models.
  • Technological innovation driven by AI and zero-party data.
  • Perfect timing amidst dissatisfaction with Big Adtech and the rise of privacy-first solutions.

To achieve trillion-dollar status, NeoAdtech must prioritise:

  1. Market Validation: Prove the NeoMail and ActionAds model in India with tangible ROI for early adopters.
  2. Ecosystem Growth: Build network effects through BEAN and partnerships.
  3. Global Expansion: Develop a phased approach to enter Western and emerging markets.
  4. Leadership Excellence: Assemble a leadership team with proven expertise in scaling transformative businesses.

If executed well, NeoAdtech is not only capable of disrupting traditional adtech but also establishing a new category in marketing technology with the potential to create India’s first trillion-dollar company.