AI Twins in Action: Daily Allies for Smarter Marketing and Meaningful Connections

Published February 12-20, 2025

Overview

I have written multiple essays about AI Twins. Here is an overview of the key ideas (as summarised by Claude and ChatGPT).

AI Twins represent a revolutionary approach to achieving true N=1 personalisation in marketing, evolving through three distinct stages that progressively deepen customer understanding and engagement.

Adtech Twins (Starting Point):

Built from publicly available search and social data
Provide initial category-level insights
Create baseline understanding without requiring customer data

Madtech Twins (Segment Level):

Combine marketing and advertising data for deeper insights
Enable segment-level understanding and personalisation
Create foundation for more sophisticated targeting
Power segment-level predictions and insights

MyTwin (Individual Level):

Personal AI companion for each customer
Enables natural conversations about preferences and needs
Functions like “talking to yourself” about what you want
Captures real-time intent and enables true N=1 personalisation

Working alongside an AI Co-Marketer that orchestrates these interactions, AI Twins solve marketing’s fundamental “Not for Me” problem by enabling genuinely personalised experiences at scale. Rather than relying on crude segmentation or inferred preferences, this technology allows brands to understand and anticipate each customer’s unique needs through direct dialogue and continuous learning.

The system’s core benefits include true personalisation that shifts from segments to individuals, predictive engagement that anticipates customer needs, and improved retention through tailored interactions. By integrating zero-party, first-party, and inferred data, AI Twins create rich customer profiles without relying on third-party cookies. The AI Co-Marketer ensures cross-channel orchestration, maintaining consistent experiences across all touchpoints.

In practice, AI Twins transform everything from reactivation strategies to customer journeys. They enable dynamic pathways that adapt to real-time signals while ensuring consistency across email, SMS, web, and app interactions. This comprehensive approach drives deeper customer loyalty, higher lifetime value, and sustainable growth through:

Retention and Growth: Personalising win-back campaigns based on individual history and preferences
Predictive Pathways: Creating dynamic customer journeys that adapt to changing user signals in real time
Cross-Channel Consistency: Ensuring unified, personalised content delivery across all touchpoints

AI Twins represent a key pillar in NeoMarketing’s shift from AAA (acquire, acquire, acquire) to OOO (Only Once/Ones). By transforming marketing from mass messaging to truly personal conversations, they eliminate the need for costly reacquisition through maintained, meaningful customer relationships. This positions AI Twins as not just another marketing tool, but as the foundation for a fundamentally new approach to customer engagement and sustainable profitable growth.

The transformative potential of AI Twins can only be fully realised through consistent, daily use. Just as utilities like electricity and water become indispensable through their reliable presence in our lives, AI Twins must evolve into daily necessities for both marketers and customers. In this essay, I will explore how these digital companions can become essential utilities that power deeper understanding, enable meaningful conversations, and drive sustained value creation through regular engagement.

Past Writings

Here is a summary of some of my previous writings on AI Twins.

Only Once in Action: NeoMails, SmartBlocks, and AI Twins: “The progression from Starter to Segment to Singular Twins mirrors the journey from broad targeting to true N=1 personalisation. Each stage builds upon the previous one, creating increasingly accurate and actionable customer understanding: Adtech Twins provide the baseline understanding, Madtech Twins add behavioural context, and Singular Twins [aka MyTwins] incorporate stated preferences and intentions. This evolution finally makes the marketer’s dream possible: delivering the right message through the right channel at the right time to the right customer. But unlike previous attempts at personalisation, AI Twins don’t just react to past behaviour—they anticipate future needs and preferences. This predictive capability is crucial for the Only Once approach, ensuring that each customer interaction builds upon previous ones while setting the stage for future engagement… AI Twins become the key to transforming random transactions into predictable recurring revenue, maximising LTV through superior customer understanding. This creates the foundation for lasting competitive advantages, solidifying the path from costly reacquisition to enduring, profitable engagement and creating a Profipoly.”

From AAA to OOO: The NeoMarketing Revolution: “Despite massive investments in data analytics, brands continue to face the “Not for Me” problem—generic messaging that fails to resonate with individual customers. Traditional segmentation, no matter how sophisticated, treats customers as part of a group rather than unique individuals. This leads to poor engagement, customer fatigue, and eventual churn, forcing brands back into expensive reacquisition cycles. AI Twins solve this challenge by progressing from broad segment-level insights to true N=1 personalisation. These digital replicas evolve into personal companions that deeply understand each customer’s preferences, behaviours, and needs.”

MyTwin: Agentic AI That Powers N=1 Personalisation: “MyTwin [is] 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…MyTwin 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.”

Framework

AI Twins serve two distinct but complementary purposes in the marketing ecosystem. On one side are marketer-focused twins (exemplified by Adtech and Madtech Twins) that empower marketing teams with deep customer insights and predictive capabilities. On the other are customer-focused twins (represented by MyTwin) that serve as personal companions for individual consumers. For clarity and simplicity in our discussion, we’ll focus on the evolved forms of these twins: Madtech Twins for marketers and MyTwin for customers.

Here is how these AI Twins fit within the NeoMarketing framework.

NeoMarketing: The Shift from AAA (Acquire, Acquire, Acquire) to OOO (Only Once/Ones)

NeoMartech (Better Customer Relationships)
- NeoMails
  - Solves the “No Hotline” problem
  - Creates reliable daily customer touchpoints
- AI Twins
  - Solves the “Not for Me” problem
  - Through two complementary approaches:
    - Madtech Twins: Empowering marketers with customer understanding and insights
    - MyTwin: Enabling N=1 conversations and personalisation

NeoAdtech (Better Advertising)
- NEON
  - Solves the “No Alternative” problem
  - Creates PII-based advertising network
  - Provides alternative to Google/Meta

This hierarchical structure shows how AI Twins serve as a crucial bridge between customer engagement (through NeoMails) and advertising effectiveness (through NEON), while addressing the fundamental personalisation challenge in modern marketing.

These elements work together synergistically:

NeoMails provides the engagement channel for NEON’s ActionAds
AI Twins power personalisation for both NeoMails and NEON targeting
NEON monetises the attention created through NeoMails

This creates a virtuous cycle where better engagement enables better monetisation, which funds better engagement.

To truly become daily utilities, AI Twins must seamlessly integrate with and enhance the tools that marketers and customers already use every day. Let’s examine the current technology landscape and explore how AI Twins can add transformative value.

For Marketers

Current Daily Tools:

Adtech Platforms (Google, Meta, programmatic)
- Campaign management
- Audience targeting
- Performance tracking
Email Platforms
- Campaign creation
- List management
- Delivery optimisation
Marketing Automation Platforms
- Journey orchestration
- Segmentation
- Cross-channel coordination
Analytics and CRM Systems
- Customer data management
- Performance reporting
- Attribution tracking

For Customers

Daily Digital Touchpoints:

Search Engines
- Information discovery
- Product research
- Local services
Social Media Platforms
- Content consumption
- Social connection
- Brand discovery
Email Applications
- Communication
- Promotions and offers
- Transaction notifications
Content and Commerce
- Online shopping
- Entertainment
- News and information

The Critical Question

For AI Twins to become indispensable, they must do more than provide occasional insights or recommendations. They need to solve pressing daily challenges and create new value in existing workflows. This raises crucial questions:

What essential jobs can AI Twins perform daily?
How can they enhance rather than complicate existing processes?
Where can they remove friction and add the most value?
How can they make both marketers and customers more effective in their daily tasks?

The answers to these questions will determine whether AI Twins become true utilities or remain interesting but underutilised technology.

Madtech Twins

In my previous writings, I explored how marketers could consult with Madtech Twins to gain deeper customer insights and drive informed decisions. These digital replicas of customer segments, built by combining martech and adtech data, serve as invaluable companions for marketers, providing real-time feedback, trend analysis, and predictive recommendations. Think of them as marketing whisperers for smarter decisions. But their real promise lies in transforming from passive advisors to active collaborators within the marketing workflow.

Enhanced Campaign Workflows

Madtech Twins elevate marketing efforts by integrating directly into campaign workflows. Here’s a typical scenario: a marketer—or an AI Co-Marketer—initiates a campaign and consults the Madtech Twins for different segments. Each Twin provides tailored feedback:

Creative Optimisation:
- The Twin for loyal customers might suggest a rewards-focused email with a personalised header
- The Twin for dormant users recommends a limited-time discount with urgency-driven messaging
- Premium segment Twins might push exclusive early-access invites
Copy Refinement:
- The AI Twin for budget-conscious customers could propose price comparisons and free shipping highlights
- Value-seeking segment Twins might emphasise cost-benefit analyses
- Lifestyle segment Twins could suggest aspirational messaging

This segment-specific input empowers marketers to fine-tune campaigns (which could also be done by the AI Twins) for maximum resonance, creating a seamless N=1 personalised experience at scale.

Proactive Intelligence

Rather than waiting for marketer queries, Madtech Twins actively monitor and alert marketers to opportunities through:

Market Trend Detection:
- Viral social media posts relevant to the brand
- Cultural moments and influencer mentions
- Competitive activity and market shifts
- Changes in customer sentiment or behaviour
Campaign Performance Monitoring:
- Unexpected engagement spikes in specific regions
- Declining click-through rates with suggested improvements
- Segment-specific response patterns
- Real-time optimisation opportunities
Event-Based Recommendations:
- Weather-triggered promotions (e.g., rain gear during storms)
- Local event-based messaging (e.g., festivals, sports events)
- Cultural celebration tie-ins
- Supply chain-aware promotions

The “Slack for Marketers” Vision

Imagine Madtech Twins as always-available team members—like colleagues on Slack or friends in a WhatsApp group. This enables:

Instant Collaboration:
- Quick queries and real-time feedback
- Brainstorming sessions with segment-specific Twins
- Group discussions combining multiple segment perspectives
- Continuous learning and refinement
Virtual Customer Room:
- Like sitting in a room with different customer segments
- Constant banter about new ideas and trends
- Immediate feedback on concepts and campaigns
- Multi-perspective insights on new initiatives

Real-Time Response to Micro-Trends

Madtech Twins excel at spotting and acting on micro-opportunities:

Localised Engagement:
- Geographic-specific trends and opportunities
- Community-level event responses
- Regional preference patterns
- Local competitive activities
Timely Promotions:
- Celebrity product spotting campaigns
- Trending topic tie-ins
- Viral moment capitalisation
- Time-sensitive offers

The Path Toward Automation

The ultimate evolution comes through deeper collaboration between Madtech Twins and the AI Co-Marketer:

Automated Decision Support:
- Content personalisation for different segments
- Channel and timing optimisation
- Budget allocation across campaigns
- Creative asset selection
- Offer and pricing adjustments
End-to-End Campaign Management:
- Autonomous campaign initiation and testing
- Self-improving predictive models
- Continuous optimisation and refinement
- Performance tracking and adjustment

The Future of Marketing Operations

By becoming proactive, collaborative, and increasingly autonomous, Madtech Twins are poised to redefine the role of marketers—from campaign managers to strategic overseers. They transform marketing into a fluid, real-time process by:

Handling micro-decisions at scale
Enabling truly relevant marketing
Maintaining constant market awareness
Driving consistent personalisation
Automating routine optimisations

In summary, Madtech Twins represent more than data-driven tools—they are dynamic collaborators that anticipate needs, enhance personalisation, and capitalise on micro-opportunities. By embedding themselves into daily workflows, they help deliver the right message to the right customer at the right time, every time, while freeing human marketers to focus on strategy and innovation.

MyTwins – 1

MyTwins represent a revolutionary leap forward in how brands interact with customers, transcending traditional recommendation systems and impersonal chatbots. These AI-powered digital companions enable true N=1 personalisation by serving as intelligent, context-aware, and proactive advisors that understand customers at an individual level while helping brands build deeper, more profitable relationships.

The Dual Nature of MyTwins
Conversion Companion: Enhancing Active Interactions

When customers are actively engaging with a brand’s properties:

Real-Time Personalisation
- Analyses current browsing patterns
- Incorporates historical preferences
- Considers cross-channel behaviour
- Delivers contextual recommendations
- Example: During a bookstore website/app visit, recommending legal thrillers matching a customer’s specific preference for “John Grisham-style narratives with more courtroom drama”
Natural Language Understanding
- Processes complex queries
- Interprets nuanced preferences
- Handles sophisticated filtering
- Example: Understanding requests like “I want to watch something like Magpie Murders – cosy mysteries, well-written, but not too long – about 3-4 hours max”
Efficient Discovery
- Minimises search friction
- Eliminates irrelevant options
- Enables conversational browsing
- Example: Rather than scrolling through hundreds of products, customers can say “Show me business casual outfits similar to what I bought last month, but in autumn colours”

Relationship Builder: Nurturing Passive Periods

Between transactions, MyTwins maintain meaningful engagement:

Consistent Dialogue
- Non-intrusive check-ins
- Value-adding conversations
- Interest-based interactions
- Example: Sharing relevant articles, reviews, or insights aligned with customer interests without pushing for immediate sales
Zero-Party Data Collection
- Natural preference capture
- Progressive profiling
- Trust-building exchanges
- Example: Learning through casual conversation that a customer prefers cultural experiences over adventure sports when traveling
Brain Gain Activities
- Daily micro-learning moments
- Personalised challenges
- Knowledge enrichment
- Example: Delivering quick quizzes, puzzles, or insights related to customer interests

Beyond Traditional Chatbots

MyTwins transcend conventional chatbots through:

Advanced Reasoning
- Powered by sophisticated LLMs
- Context-aware responses
- Empathetic interactions
- Example: Understanding emotional context and adjusting recommendations accordingly
Proactive Engagement
- Anticipates needs
- Suggests timely actions
- Identifies opportunities
- Example: Recommending a cozy reading list during rainy weather or suggesting umbrella purchases before forecasted storms
Personalised Push Intelligence
- Custom content curation
- Preference-based filtering
- Priority management
- Example: “Prioritise tech stories over politics in my news feed” or “Focus on CEO decision-making articles”

Integration with Madtech Twins

MyTwins enhance their capabilities by collaborating with Madtech Twins:

Market Intelligence
- Trend monitoring
- Competitive analysis
- Segment behaviour tracking
- Example: When a product trends on social media, suggesting early access or exclusive previews
Micro-Trend Response
- Regional event adaptation
- Local preference consideration
- Time-sensitive opportunities
- Example: Adjusting recommendations based on weather events or local festivals
Real-Time Optimization
- Performance monitoring
- Engagement analysis
- Continuous refinement
- Example: Fine-tuning suggestions based on segment-level response patterns

This foundation enables MyTwins to create an unprecedented level of personalisation while maintaining genuine, valuable relationships with customers. By seamlessly transitioning between conversion support and relationship building, MyTwins help brands maximise every interaction while respecting customer preferences and building lasting trust.

Technical Architecture and Integration

The AI Technology Trinity

MyTwins harness three generations of AI to deliver comprehensive capabilities:

Predictive AI: The Foundation

Pattern Recognition Engine
- Analyses historical behaviour
- Identifies preference patterns
- Predicts likely actions
- Example: Anticipating when a customer might need to replenish products based on past purchase frequency and usage patterns
Journey Mapping System
- Tracks cross-channel interactions
- Maps decision pathways
- Optimises engagement timing
- Example: Understanding that a customer researches on mobile during commute hours but purchases on desktop in evenings

Generative AI: The Communicator

Natural Language Processing
- Understands complex queries
- Generates contextual responses
- Maintains conversation coherence
- Example: Crafting nuanced responses that match the customer’s communication style and expertise level
Content Generation
- Creates personalised recommendations
- Adapts messaging style
- Produces custom content
- Example: Generating product descriptions that emphasise features most relevant to each customer

Agentic AI: The Decision Maker

Autonomous Operations
- Makes real-time decisions
- Initiates proactive engagement
- Executes complex tasks
- Example: Automatically adjusting recommendations based on changing customer preferences and market conditions
Goal-Oriented Behaviour
- Sets and pursues objectives
- Adapts strategies
- Learns from outcomes
- Example: Building a customer’s wardrobe over time based on style preferences and occasions

Integration with Madtech Twins
Data Synthesis

Real-Time Market Intelligence
- Trend analysis
- Competitive insights
- Segment behaviour patterns
- Example: Combining individual preferences with segment-level trends for more accurate recommendations

Behavioural Analysis

Cross-Segment Learning
- Pattern identification
- Preference mapping
- Response prediction
- Example: Using segment-level insights to enhance individual recommendations while maintaining personalisation

Implementation Challenges and Solutions
Data Integration Challenges

System Complexity
- Multiple data sources
- Real-time requirements
- Privacy compliance
- Format inconsistencies
Solutions Implemented
- Unified data architecture
- Edge computing deployment
- Privacy-by-design framework
- Real-time processing engines
- Example: Using secure data mesh architecture for real-time access while maintaining privacy

Performance Optimization

Scale Challenges
- Response time demands
- Processing overhead
- Resource constraints
- Load management
Technical Solutions
- Distributed processing
- Intelligent caching
- Load balancing
- Microservices architecture
- Example: Processing routine queries at the edge while using cloud resources for complex tasks

MyTwins – 3

Applications and Future Vision

Industry Applications
Retail and E-commerce

Shopping Experience
- Natural language product discovery
- Style matching
- Size recommendations
- Bundle suggestions
- Example: “Find me business casual outfits that match my style, suitable for summer meetings”
Customer Service
- Proactive support
- Inventory alerts
- Return assistance
- Order tracking
- Example: Anticipating size issues based on purchase history and proactively offering alternatives

Media and Entertainment

Content Discovery
- Taste matching
- Format preferences
- Time-based suggestions
- Mood analysis
- Example: “I want something like Succession but more focused on family than business”

Financial Services

Personalised Guidance
- Investment preferences
- Risk assessment
- Goal-based planning
- Market insights
- Example: “Show me tech companies focused on AI with strong ESG credentials”

The Future of Customer Relationships
Evolution of Engagement

From Transactions to Partnerships
- Deeper understanding
- Continuous value
- Shared growth
- Example: Building long-term relationships through daily meaningful interactions

Value Creation

For Customers
- Time savings
- Better decisions
- Personalised experiences
- Reduced friction
- Example: Eliminating irrelevant recommendations and streamlining discovery
For Brands
- Reduced acquisition costs
- Higher lifetime value
- New revenue streams
- Better retention
- Example: Shifting from constant reacquisition to sustained engagement

Implementation Roadmap
Phase 1: Foundation

Basic personalisation
Simple conversations
Standard recommendations
Core analytics

Phase 2: Enhancement

Advanced natural language processing
Context awareness
Predictive analytics
Cross-channel coordination

Phase 3: Maturity

Autonomous decision-making
Deep learning integration
Advanced reasoning
Predictive engagement

The Path Forward
Immediate Opportunities

Reduced AdWaste
Enhanced engagement
Better personalisation
Revenue growth

Long-term Vision

True N=1 marketing
Sustainable growth
Customer-centric operations
Profitable relationships

This comprehensive framework shows how MyTwins can transform customer relationships while driving sustainable profitable growth. By combining advanced AI capabilities with deep customer understanding, MyTwins create a new paradigm for customer engagement that benefits both brands and customers.

So that’s the new world of AI Twins. Together with NeoMails and NEON, it will lay the foundation for NeoMarketing – a transformative approach that finally aligns marketing’s capabilities with its true purpose. Through the power of AI Twins, brands can realise the “Only Once/Ones” vision: acquiring customers just once and treating them as unique individuals throughout their journey. This creates a virtuous cycle where deep understanding leads to perfect personalisation, driving customer retention, maximizing lifetime value, and generating organic referrals. By establishing genuine hotlines through NeoMails and enabling precise targeting via NEON, brands can escape the costly cycle of continuous acquisition and build lasting, profitable relationships. The golden age of marketing beckons – one where every customer feels special at every touchpoint, where engagement creates new revenue streams, and where both brands and customers thrive through authentic, value-driven relationships. The future of marketing isn’t about better acquisition – it’s about perfect understanding and engagement, powered by the revolutionary capabilities of AI Twins.

Stories – 1

I asked Claude and ChatGPT to write stories to showcase the AI Twins future.

Claude

A Day in the Life with AI Twins: 2025

Morning: The Marketer’s View

Maya logs into her marketing dashboard at 9 AM. Instead of the usual flood of campaign metrics, she’s greeted by her team of Madtech Twins – AI replicas of key customer segments. “Good morning Maya,” the interface reads. “We’ve spotted some interesting patterns overnight.”

The Twin representing luxury segment customers highlights a spike in winter coat browsing from Singapore. “Unusual for our tropical customers,” it notes. “Cross-referencing travel data suggests 40% of these browsers have booked winter holidays. Recommend triggering our ‘Holiday Prep’ campaign with personalized timing based on travel dates.”

Another Twin, monitoring price-sensitive customers, flags that a competitor has just launched a sale. “But here’s the interesting part,” it adds. “Based on our segment’s past behavior, they’re more interested in our loyalty program benefits than pure discounts. I’ve drafted alternative messaging focusing on points multiplication.”

Maya initiates a quick group chat with multiple Twins to brainstorm the holiday campaign. The discussion feels natural – like a virtual room full of customer advocates, each representing different segment perspectives. Within minutes, they’ve crafted nuanced approaches for different customer groups.

Morning: The Customer Experience

Jay, a busy executive, checks his email during his morning commute. His MyTwin has curated his daily digest perfectly – tech industry news up top (he’d asked to prioritize AI and sustainability stories), followed by a subtle reminder about winter wear for his upcoming Swiss vacation.

“I noticed you’ve been browsing ski jackets,” his MyTwin messages. “Given your preference for minimalist design and previous purchases, you might like these three options. All available with express shipping before your December 15th flight.”

Meanwhile, Sarah, a food enthusiast, receives a completely different experience. Her MyTwin knows she loves discovering new restaurants but prefers detailed reviews over quick recommendations. “That new Japanese place you bookmarked? I’ve compiled insights from customers with similar taste preferences. Many mention the omakase menu’s unique fusion elements – right up your alley based on your recent dining choices.”

Afternoon: Back to the Marketing Suite

Maya’s attention turns to a real-time strategy session. The Madtech Twins have been monitoring a viral social media trend around sustainable fashion. The Twin representing Gen Z customers suggests a quick pivot in content strategy: “Our sustainable collection aligns perfectly with this conversation. Based on current sentiment analysis, authenticity is key. Recommend showcasing our production process rather than pure product features.”

The luxury segment Twin adds another layer: “My customers are particularly interested in the artisanal aspects. I’ve identified a micro-influencer whose content style matches our premium positioning.”

Afternoon: The Customer Side

Jay receives a notification – not a promotional push, but a genuine value-add from his MyTwin. “Remember how you mentioned wanting more CEO decision-making stories? There’s a fascinating piece about a tech CEO’s sustainability initiative. It aligns with both your professional interests and your personal focus on environmental impact.”

Across town, Rachel, a new mother, has a completely different interaction with her MyTwin. “I noticed you’ve been searching for baby development toys. Based on your preference for Montessori methods and natural materials, here are some options that other parents with similar philosophies have found helpful. Would you like to see detailed reviews or quick comparisons first?”

Evening: The Systems at Work

As the day winds down, the AI systems continue their orchestration. Maya reviews an automated summary from her Madtech Twins – they’ve identified micro-trends, suggested campaign optimizations, and flagged opportunities for the next day. The system is learning and adapting, becoming more precise with each interaction.

For customers, their MyTwins are quietly personalizing tomorrow’s experiences. Jay’s Twin notes his engagement with the CEO article and updates his content preferences accordingly. Sarah’s Twin observes her detailed reading of the restaurant reviews and refines its understanding of her decision-making process. Rachel’s Twin analyzes her interaction with the toy recommendations to better support her parenting journey.

Late Night: The Personal Touch

Even during off-hours, the system maintains its personal touch. When Jay checks his phone before bed, his MyTwin has a thoughtful suggestion: “Given your upcoming trip and your preference for preparing early, would you like me to put together a packing list? I can customize it based on your travel style and the forecasted weather in Switzerland.”

The Next Morning

Maya starts her day with insights that would have taken weeks to gather in the past. The Madtech Twins have processed overnight interactions, identified emerging patterns, and prepared nuanced recommendations for different customer segments. But more importantly, they’ve maintained thousands of individual conversations, each feeling personal and relevant.

For customers like Jay, Sarah, and Rachel, their MyTwins have become indispensable personal assistants – understanding their unique preferences, anticipating their needs, and making their interactions with brands more meaningful and efficient.

This is the new world of marketing – where AI Twins enable true N=1 personalization at scale, transforming both the marketer’s workflow and the customer’s experience. No mass messaging, no generic campaigns, just genuine understanding and relevant engagement, powered by the seamless collaboration of Madtech Twins and MyTwins.