Published August 16, 2024
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M3 and E3 – 1
Two themes I have covered in the past few months have been a new vision for AI-first marketing (Agentic AI, Large Customer Models, Co-Marketer, Digital Twins, Generative Journeys, Adtech-Martech integration [see Part 4], Commerce Metaverse) and AMP-powered email (Email Apps, Action Ads). Together, they offer solutions to solving the low LTV (lifetime value) and high CAC (customer acquisition cost) problems which hurt profitability. By anticipating intent via better use of data for personalisation and influencing actions via creating hotlines, these new ideas in marketing and email (what I have termed M3 and E3, respectively) can power the Profipoly Quest of companies.
Here is a short summary of these ideas (written with the help of Claude).
Agentic AI represents the next evolution in AI, characterised by autonomous and intelligent agents capable of performing complex tasks, making decisions, and learning from their environment. In marketing, Agentic AI powers systems like Co-Marketers and Digital Twins, enabling real-time personalisation, predictive analytics, and automated decision-making. It can process vast amounts of customer data, extract meaningful insights, and drive marketing strategies autonomously. Agentic AI promises to transform customer relationships by enabling hyper-personalisation and more efficient, data-driven marketing approaches.
Large Customer Models (LCMs) are advanced AI models that serve as the foundation for AI-first marketing strategies. Built on extensive customer data, LCMs create dynamic, real-time evolving profiles of customers. They consist of three layers: generic foundational models (like ChatGPT), a marketing-specific foundational model (combining intelligence for both adtech and martech channels), and an enterprise-specific model incorporating PII data. By leveraging the “5 Cs” of customer data (Customers, Channels, Cohorts, Catalog, and Conversations), LCMs enable deeper personalisation, precise targeting, and more effective marketing strategies across all customer touchpoints.
A Co-Marketer is an AI-powered marketing assistant that collaborates with human marketers to optimise various aspects of marketing strategies. It leverages Agentic AI to perform tasks such as segmentation, campaign planning, content creation, and journey optimization. Co-Marketers can aggregate and analyse vast amounts of data, predict customer behaviour, generate personalised content, and execute marketing campaigns autonomously. They provide real-time optimisation recommendations and engage in interactive dialogues with human marketers. For CMOs, Co-Marketers offer enhanced efficiency, improved personalisation, strategic insights, and scalable solutions. They represent the future of marketing, promising a “Department of One” for a “Segment of One” approach.
Digital Twins in marketing are AI-powered virtual representations of customers or customer segments. There are two types: Segment Twins, representing groups with similar behaviours and preferences, and Singular Twins, replicating individual customers. These twins provide comprehensive insights into customer behaviours, preferences, and interactions. They enable marketers to simulate scenarios, test strategies, and deliver highly personalised experiences. Digital Twins interact with Co-Marketers in a “mirror world” to identify optimal engagement strategies. By facilitating true 1:1 personalisation and enabling precise targeting of customer groups, Digital Twins transform marketing from broad approaches to highly tailored strategies.
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M3 and E3 – 2
Generative Journeys represent an advanced approach to customer experience, leveraging AI to create dynamic, personalised paths for each customer. Unlike predefined customer journeys, generative journeys use AI to analyse customer behaviour in real-time and generate the next best action or message. They integrate insights from Large Customer Models, Digital Twins, and Co-Marketers to accelerate “transaction moments” in a customer lifecycle. Generative journeys continuously refine and personalise each step based on real-time feedback and predictive analytics. This approach enables unparalleled customer engagement, conversion, and retention by ensuring that every interaction is tailored to the individual’s evolving needs and preferences.
Adtech-Martech integration, sometimes referred to as “Madtech,” represents the convergence of content and data from the acquisition of new customers and retargeting of existing customers (adtech), and the engagement and retention of existing customers (martech). This integration creates a seamless ecosystem where data from both advertising and marketing efforts can flow freely, enhancing the accuracy and relevance of customer profiles. It enables marketers to leverage insights from advertising platforms (like Google and Meta) and social platforms (Facebook, Instagram, Snap, TikTok) alongside zero-party and first-party data from marketing automation tools and interaction on owned channels (email, SMS, RCS, WhatsApp, push notifications). The integration is crucial for creating a unified view of the customer journey, from initial awareness to conversion and loyalty. It supports more precise targeting, personalisation, and measurement across the entire customer lifecycle.”
The Commerce Metaverse represents a new paradigm in digital marketing and customer engagement, inspired by the Industrial Metaverse but focused on commerce and marketing interactions. It’s a virtual environment (“mirror world”) where AI-powered entities like Co-Marketers and Digital Twins (both Segment and Singular) interact to create hyper-personalised customer experiences. Unlike the consumer-focused metaverse, the Commerce Metaverse emphasises business outcomes, enabling marketers to simulate customer interactions, test strategies, and optimise journeys in a risk-free environment. By leveraging technologies like Agentic AI and Large Customer Models, the Commerce Metaverse aims to revolutionise how brands understand, engage with, and serve their customers, ultimately driving higher conversion rates and customer lifetime value.
Email Apps (Epps) represent the next evolution in email engagement, leveraging AMP technology to create interactive, app-like experiences within emails. Epps are multi-screen implementations that interact with backend databases and update in real-time when opened. They are self-contained, eliminating the need for external websites or apps. Epps can include features like interactive product catalogs and in-email transactions. By transforming emails into dynamic platforms for engagement and conversion, Epps aim to solve the email open problem, increase user interaction, and provide a seamless experience for activities ranging from shopping to customer support.
Action Ads are a new format of interactive advertisements embedded within emails, leveraging AMP technology and Atomic Rewards. These ads enable users to complete actions such as form fills, purchases, or subscriptions directly within the email, without clicking through to external landing pages. Action Ads are characterised by four key attributes (4 Ps): they are linked to PII for targeted messaging, delivered via push channels, allow in-place actions, and can support payments. By reducing friction in the customer journey and enabling immediate engagement, Action Ads aim to improve conversion rates, enhance user experience, and create new revenue streams for brands and email platforms.
So far, the two worlds of M3 and E3 have been largely independent. What would happen if digital twins and email apps went beyond co-existence and “crossed”? In this series, we will explore possible ideas and futures.
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The Crossing
In Michael Connelly’s book “The Crossing”, former LAPD detective Harry Bosch reluctantly agrees over to work with his half-brother, defence attorney Mickey Haller, to investigate a murder case. Bosch, known for his dedication to putting criminals behind bars, finds himself in unfamiliar territory as he seeks to prove the innocence of Haller’s client.
In the book, the “crossing” has multiple meanings. Firstly, it refers to the professional and ethical shift of Bosch, as he transitions from being a police detective to working as a defence investigator. This change forces him to grapple with his principles and the complexities of the legal system from a new perspective. Secondly, the “crossing” also symbolises the moment when the paths of the murderer and the victim intersect, marking the critical point in the narrative where the crime occurs. This intersection is pivotal to the storyline, as it sets off the chain of events that Bosch investigates, uncovering deeper layers of the case and ultimately leading to the resolution of the mystery. This second interpretation is what I want to discuss further.
When I read the book (and I don’t miss any of Connelly’s Bosch or Haller books), I was fascinated by this excerpt: “In a case like this, where the victim appeared to be chosen at random, there is always a crossing point. The place where the predator first encounters his prey. The job of the investigators is to find the crossing, the place where the circle of the victim’s life overlaps the circle of the predator.”
The concept of “crossings” extends far beyond fictional narratives, playing a pivotal role in our daily lives and broader societal patterns. In the real world, crossings occur when the circles of different individuals’ lives intersect, often leading to significant events or changes. These intersections can happen in various contexts – a chance encounter at a coffee shop that leads to a lifelong friendship, a serendipitous meeting at a conference that sparks a groundbreaking collaboration, or even a random interaction on social media that results in a business partnership. Crossings can also be more structured, like joining a new workplace or moving to a new neighbourhood, where multiple life circles suddenly overlap. These moments of intersection are often catalysts for change, innovation, and personal growth. They remind us of the interconnectedness of human experiences and the potential for transformation that lies in these points of convergence. Understanding and leveraging these crossings can be crucial in fields ranging from social sciences to business strategy, as they represent opportunities for meaningful connections and impactful outcomes.
In a similar vein, the worlds of M3 (Agentic AI and digital twins) and E3 (email apps and ads) may seem distinct, but their intersection holds transformative potential. Imagine a “crossing” where every email becomes a dynamic, personalised touchpoint in a customer’s AI-driven journey. What if Agentic AI could power Epps, creating interactive experiences that adapt in real-time? Consider digital twins constructed from cross-brand email behaviours, informing hyper-targeted Action Ads. This convergence could revolutionise email marketing, potentially achieving near-perfect open rates and engagement. The email footer might evolve into a key element of generative journeys, offering personalised, cross-brand experiences. This “crossing” between M3 and E3 promises to redefine customer engagement, merging the predictive power of AI with the ubiquity and intimacy of email communication.
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CAC and LTV
Before delving deeper into the “crossing” between M3 and E3, it’s crucial to step back and examine the fundamental challenges that marketers face in today’s digital landscape.
As highlighted in numerous essays, B2C and D2C brands grapple with a significant issue: approximately half of their marketing budget is squandered on ineffective acquisition and reacquisition efforts. This phenomenon, termed “AdWaste,” represents a substantial barrier between businesses and their profitability goals. Eliminating this waste is not just about turning a profit-less venture into a profitable one; it’s also about transforming a profitable business into a “profipoly” – a profit monopoly that stands head and shoulders above its competitors.
The key to this transformation lies in growing Customer Lifetime Value (LTV). This focus on LTV is critical because optimising Customer Acquisition Cost (CAC) and Return on Ad Spend (ROAS) has become increasingly challenging in the fiercely competitive bidding markets that characterise the world of adtech. As these costs continue to rise, the most viable path to improved profitability is through enhancing the value derived from existing customers.
To grow LTV, marketers primarily leverage two assets: their properties (websites and apps) and their channels (email, SMS, WhatsApp, and others). In an ideal scenario, customers would engage with every marketing message, opening emails and clicking through to websites or apps. However, the reality we face as consumers paints a starkly different picture. We often ignore most marketing messages, a phenomenon known as “attention recession.” This widespread disengagement makes it exceptionally difficult for marketers to establish reliable, responsive communication channels – or “hotlines” – with their customers.
The absence of effective engagement with existing customers forces marketers into a costly cycle. They find themselves compelled to increase spending on continually acquiring new customers, even when many of these “new” acquisitions may actually be past customers who have become inactive or churned. This reliance on adtech spending, coupled with aggressive discounting strategies, erodes profitability and creates an unsustainable business model.
However, a paradigm shift is on the horizon. For the first time, marketers have access to solutions that can significantly boost LTV while simultaneously reducing CAC, thereby enhancing overall profitability. This is where the worlds of M3 (Marketing’s AI Triad) and E3 (Email’s New Triad) come into play.
M3 revolutionises conversion and retention strategies by providing an enhanced, 360-degree understanding of both customer clusters and individual customers. This comprehensive insight enables better matching of products to customers, reminiscent of how Large Language Models (LLMs) match words in natural language processing. The result is more precise targeting, personalised offerings, and improved customer experiences.
Complementing this, E3 ensures that push messages are not only more relevant but also facilitate in-channel conversion. This means that customers can engage and complete transactions without leaving the inbox, thus reducing friction and increasing conversion rates.
Together, M3 and E3 address the three primary profit killers that have long plagued marketers: poor data quality, funnel frictions, and AdWaste. By providing rich, actionable customer insights and streamlining the path to purchase, these innovative approaches pave the way for more efficient and effective marketing strategies.
The true power of M3 and E3 lies in their ability to shift focus from constant acquisition to retention and maximisation of customer LTV. Every dollar redirected from the leaky bucket of AdWaste directly contributes to improved profitability. While M3 and E3 are powerful in their own right, their “crossing” – the point where these two innovative approaches intersect and interact – holds the potential for truly transformative results.
Fusing the concepts of M3 and E3 can lead to a plethora of innovative ideas that can emerge from their intersection and power the profitability march for businesses. We will discuss four of them: Email Language Model, Email Twin, Epps Footer Containers, and Email Minis.
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Email Language Model
Email stands out as a specialised communication channel with unique complexities. Unlike simpler formats such as SMS, WhatsApp, or RCS, an email comprises multiple distinct elements: a subject line to capture attention, a hero image or message to make an immediate impact, the main body to convey detailed information, and a footer for additional context or calls-to-action. This multi-faceted structure demands significant effort and expertise to create effectively.
The introduction of AMP in email has further elevated the complexity of email creation, necessitating collaboration between coders, creative designers, and content specialists to produce the final, interactive email. This intricate process, while potentially powerful, can be time-consuming and resource-intensive.
Enter ELM, the Email (Small) Language Model, a specialised AI model designed to streamline the email creation process. By leveraging the collective wisdom from tens of thousands of email creatives and incorporating brand-specific performance data, the Email SLM creates a fine-tuned model tailored for email marketing excellence.
While LLMs excel at broad language understanding and generation, SLMs are fine-tuned on domain-specific data, making them more precise and effective for targeted applications. In the context of email marketing, an SLM can be trained on vast datasets of successful email campaigns, industry-specific language, and brand-particular communications. This focused training allows the SLM to capture nuances of email marketing that a general-purpose LLM might miss, such as optimal subject line structures, effective call-to-action phrases, or industry-specific jargon. Moreover, SLMs are more computationally efficient, allowing for faster processing and real-time applications. They can be more easily updated with the latest marketing trends and company-specific data, ensuring that the model’s outputs remain current and relevant. Additionally, SLMs can be designed to adhere strictly to brand guidelines and regulatory requirements specific to email marketing, reducing the risk of off-brand or non-compliant content generation. This specialised focus makes SLMs a more reliable and effective tool for email marketers, offering tailored, high-quality outputs that are directly applicable to their specific needs and challenges.
Key features and benefits of ELM include:
- Automated Content Generation: ELM can generate compelling subject lines, body copy, and calls-to-action based on campaign objectives and brand voice.
- Performance-Driven Optimisation: By analysing historical data on email performance, ELM can suggest improvements and predict the effectiveness of new content.
- AMP Integration: The model can assist in creating AMP-powered interactive elements, bridging the gap between design and coding.
- Personalisation at Scale: ELMs can generate personalised content for different customer segments or even individual recipients, enhancing relevance and engagement.
- A/B Testing Recommendations: ELM can propose variations for A/B testing, accelerating the optimization process.
- Cross-Channel Consistency: By understanding brand guidelines and messaging across channels, ELM ensures consistency while adapting content for email’s unique format.
- Regulatory Compliance: The model can be trained to adhere to email marketing regulations and best practices, reducing legal risks.
By simplifying the email creation process, ELM not only saves time and resources but also enhances the quality and effectiveness of email marketing campaigns. This AI-powered tool represents a significant step forward in the intersection of M3 and E3, combining the power of machine learning with the specificity of email marketing to drive better results and streamline workflows.
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Email Twin
Consumer behaviours are notably diverse across different communication channels, but nowhere is this diversity more pronounced than in email interactions. Email, as a medium, presents a unique set of decision points for consumers, each of which offers valuable insights into individual preferences and behaviours. These decision points create a complex web of user interactions that can be leveraged to create highly personalized experiences.
The journey of email engagement begins with the initial decision to open an email, a choice heavily influenced by the subject line and the snippet preview. This crucial first step determines whether the content even has a chance to reach the recipient. Once opened, the consumer then decides whether to scroll through the entire email or abandon it partway. If they continue, they face the choice of clicking through to a landing page or not, and ultimately, whether to maintain their subscription or opt out.
Each of these decision points represents a wealth of data that, when properly analysed, can provide deep insights into individual consumer preferences and behaviours. This is where the concept of an “Email Twin” comes into play. By collaborating closely, brands and email service providers can harness this rich data to create a digital doppelganger for each customer, specifically tailored to their email interaction patterns.
An Email Twin would be a comprehensive digital representation (like an “email DNA”) of an individual’s email behaviour and preferences. It would encompass a wide range of factors, including:
- Optimal Email Timing: Identifying the days and times when a particular user is most likely to open and engage with emails.
- Content Preferences: Determining whether the user responds better to text-heavy emails or image-rich designs.
- Subject Line Effectiveness: Analysing which types of subject lines resonate most with the individual.
- Colour Schemes: Identifying colour preferences that lead to higher engagement rates.
- Email Length: Determining the ideal email length for maximum readership.
- Interactive Element Preferences: Understanding which interactive elements (e.g., polls, quizzes, videos) drive the most engagement.
- Device Usage: Knowing whether the user primarily checks email on mobile or desktop, and optimising accordingly.
- Frequency Tolerance: Gauging how often a user is willing to receive emails before considering unsubscribing.
- Click Behaviour: Analysing which parts of the email (top, middle, bottom) generate the most clicks.
- Language and Tone: Identifying the communication style that resonates best with the individual.
By amalgamating these data points, an Email Twin would provide a nuanced understanding of each customer’s email consumption habits. This digital replica would enable marketers to tailor every aspect of their email communications to align perfectly with individual preferences.
Imagine the possibilities: An email campaign could be dynamically adjusted for each recipient from the primary template. For one user, it might be a short, text-based email sent on a Tuesday morning with a straightforward subject line. For another, it could be an image-rich newsletter delivered on a Sunday evening with an intriguing, question-based subject line. The same core message could be presented in myriad ways, each optimised for its specific recipient.
The synergy between the Co-Marketer, Digital Twin, and Email Twin represents a powerful trifecta in personalised marketing. While the Digital Twin provides a comprehensive view of the customer’s overall behaviour and preferences across various touchpoints, the Email Twin offers specialised insights into the customer’s email interaction patterns. The Co-Marketer, as an AI-powered marketing assistant, would leverage both these twins to craft highly optimised email communications. It would consult the Digital Twin for broad customer insights, such as purchase history, product preferences, and general engagement patterns. Simultaneously, it would tap into the Email Twin for email-specific behaviours like preferred send times, subject line preferences, and content format choices. By integrating these two data sources, the Co-Marketer can create email messages that are not only personalised in terms of content and offers but also optimised for email-specific engagement. For instance, it might use the Digital Twin’s data to select products for a promotional email, while relying on the Email Twin’s insights to determine the best time to send it, craft an appealing subject line, and structure the email layout for maximum impact. This multi-faceted approach ensures that each email is tailored not just to the customer’s general preferences, but also to their unique email consumption habits, significantly enhancing the likelihood of engagement and conversion.
The creation of Email Twins represents a significant leap forward in the personalisation of email marketing. It moves beyond simple segmentation to true N=1 individualisation, treating each recipient as a unique entity with distinct preferences and behaviours. This level of personalisation has the potential to dramatically increase email engagement rates, reduce unsubscribes, and ultimately drive higher conversion rates.
Moreover, as these Email Twins evolve and learn from ongoing interactions, they would become increasingly accurate representations of user behaviour. This continuous refinement would allow for ever-more sophisticated and effective email marketing strategies, creating a virtuous cycle of improved engagement and customer satisfaction.
In essence, the Email Twin concept promises to transform email from a one-size-fits-most channel to a highly personalised, individual-centric communication medium. It represents the convergence of big data, artificial intelligence, and marketing strategy, pointing the way toward the future of digital customer engagement.
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Epps Footer Containers
I have previously discussed how email footers can be transformed: Reimagining the Email Footer and Dynamic Engaging Footers: Email 2.0’s Silver Bullet. The concept of transforming email footers into dynamic, interactive spaces represents a significant leap forward in email marketing, perfectly aligning with the innovative principles of M3 and E3. This reimagined footer, powered by Epps (Email Apps), has the potential to transform how brands engage with their customers through email.
The traditional email footer, often relegated to compliance information and an unsubscribe link, is evolving into a powerful engagement tool. By leveraging Epps, marketers can create a multi-faceted “container” within the footer, housing various AMPlets (AMP-powered elements) that work together to form a cohesive, interactive experience. This approach transforms the footer from a passive element to an active, value-adding component of every email.
Key components of this enhanced footer could include:
- Feedback Container: This section could host interactive NPS (Net Promoter Score) surveys along with more detailed feedback forms. The ability to collect real-time feedback within the email itself not only increases response rates but also provides immediate insights for brands to act upon.
- Data Container: Leveraging the concept of zero-party data collection, this area could feature quick surveys or “hot or not” style interactions. These engaging micro-interactions encourage users to voluntarily share preferences and interests, enriching the brand’s understanding of each customer.
- Games/Quiz Container: By incorporating brand-relevant games or quizzes, marketers can create a fun, educational experience that increases engagement time and reinforces brand messaging in an entertaining way.
- Personalised Offers Container: Based on the customer’s Digital Twin data, this section could display tailored product recommendations or exclusive offers.
- Content Discovery Container: This could showcase personalised content recommendations, encouraging further engagement with the brand’s ecosystem.
The beauty of these Epps Footer Containers lies in their dynamic nature. Controlled from the server, the content within these containers can be updated in real-time, ensuring that each email open delivers a fresh and relevant experience. This capability addresses one of the longstanding challenges in email marketing: maintaining engagement with emails over time.
The integration of M3 elements – particularly the insights derived from Digital Twins and Large Customer Models – allows for hyper-personalisation of these footer containers. For instance, understanding where a customer is in their buying journey enables the creation of subtle, timely nudges towards conversion. The Co-Marketer AI (along with the Email Twin) could dynamically adjust the content and timing of these nudges based on real-time interaction data and predicted customer behaviour.
Furthermore, the in-place interactivity of these footer containers aligns perfectly with the E3 concept. By eliminating the need for clickthroughs to external landing pages, marketers can maintain the user’s attention and engagement within the email environment. This seamless experience not only improves user engagement but also provides a continuous stream of valuable interaction data.
The Epps Footer Containers become an integral part of the E3 wrapper, driving email opens and sustained engagement. As users interact with these dynamic elements, they create a virtuous cycle of engagement and personalisation. Each interaction provides more data for the M3 systems to refine their understanding of the customer, which in turn allows for even more targeted and effective future communications.
Moreover, these enhanced footers open up new possibilities for email monetisation through Action Ads. Advertisers could leverage these interactive spaces to create engaging, non-intrusive ad experiences that feel native to the email environment.
In conclusion, the transformation of email footers through Epps represents a convergence of M3 and E3 principles, creating a powerful new channel for customer engagement. By turning every email into a dynamic, interactive experience, brands can significantly increase the value and effectiveness of their email marketing efforts. This innovation not only enhances customer engagement and data collection but also paves the way for new revenue streams and more sophisticated, AI-driven marketing strategies.
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Email Minis – 1
The fourth and final idea is the idea of short-targeted email subscriptions. Think of them as “Email Minis.” This builds on the microns (micro-newsletters) idea I have previously discussed. [See Microns and Brands: Made for Each Other and Micron-verse: The New World of Brand-Customer Communications.]
Email Minis transform the traditional open-ended email subscription model into a more dynamic, time-bound engagement strategy. Instead of the conventional “till death (or unsubscribe) do us apart” approach, these short-term subscriptions provide a clear duration, creating a sense of exclusivity and urgency that can drive higher engagement rates.
The power of Email Minis lies in their ability to deliver focused, timely content. For instance, an apparel brand could offer a weeklong Email Mini during summer, providing daily fashion recommendations. This approach allows brands to create concentrated bursts of engagement around specific themes, seasons, or events, keeping content fresh and relevant.
Leveraging the M3 system, these Email Minis can be crafted with unprecedented personalisation. The insights gleaned from Large Customer Models, Digital Twins, and Co-Marketers can inform the content, timing, and targeting of these mini-subscriptions. This ensures that each Email Mini is not just a generic campaign, but a highly tailored experience for each subscriber.
The subscription process for Email Minis can be seamlessly integrated into the existing email ecosystem. Utilising Epps Footer Containers or Action Ads, customers can subscribe with a single tap, eliminating friction and increasing the likelihood of opt-ins. This ease of subscription, combined with the clear, limited-time commitment, can make Email Minis an attractive option for consumers who might be hesitant to commit to indefinite subscriptions.
One of the most compelling aspects of Email Minis is their potential to create non-linear customer journeys. Traditional email marketing often follows a linear path, but Email Minis allow for a more branched, exploratory approach. A bookstore, for example, could offer a 7-day Email Mini on a new book release. Based on the subscriber’s engagement with this mini-series, the brand could then recommend similar titles or even more targeted Email Minis, creating a personalised content discovery journey.
The interactive nature of Email Minis, especially when crafted as Epps, provides a rich source of engagement data. Every interaction within these mini-series feeds back into the M3 system, continuously enhancing the Digital Twin profile of each customer. This creates a virtuous cycle of increasingly personalized and relevant content.
Email Minis also excel in post-purchase scenarios, offering an effective way to onboard new customers and help them maximise the value of their purchases. A series of Email Minis could guide customers through product features, offer usage tips, or suggest complementary products, enhancing customer satisfaction and potentially driving additional sales.
The scalability of Email Minis is significantly enhanced by the capabilities of the Co-Marketer. This AI-powered assistant can help craft content for numerous Email Minis, enabling brands to create a diverse array of targeted mini-series without overwhelming their marketing teams.
Moreover, Email Minis provide an excellent opportunity for zero-party data collection. Each mini-series can include interactive elements that encourage subscribers to share their preferences, interests, and feedback. This valuable data can then be used to refine future Email Minis and overall marketing strategies.
In conclusion, Email Minis represent a powerful evolution in email marketing, combining the precision of M3 insights with the interactive capabilities of E3. By offering focused, time-bound content experiences, brands can create more engaging, relevant, and effective email campaigns. As consumers increasingly value personalised, bite-sized content, Email Minis can become a key tool in the modern marketer’s arsenal, driving engagement, fostering customer loyalty, and unlocking new avenues for personalised marketing at scale.
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Email Minis – 2
I asked Claude for more ideas for Email Minis. (Think of each of these emails as Epps – interactive, dynamic, and where needed, self-contained.)
- Retail Fashion:
- “7 Days of Summer Styles”: Daily outfit inspirations with mix-and-match suggestions
- “Color of the Week”: A 5-day series exploring different ways to incorporate a trendy color into outfits
- Travel and Hospitality:
- “Destination Discovery”: 10-day series showcasing different aspects of a travel destination
- “Foodie’s Guide”: 5-day culinary tour of a city’s best restaurants and local cuisines
- Finance and Banking:
- “Investing 101”: 2-week crash course on investment basics for beginners
- “Budgeting Bootcamp”: 7-day series with daily budgeting tips and interactive expense tracking
- Health and Wellness:
- “30-Day Fitness Challenge”: Daily workout routines with progress tracking
- “Mindfulness Week”: 7 days of guided meditation and mindfulness exercises
- Technology:
- “Tech Tip of the Day”: 10-day series featuring daily productivity hacks for popular software
- “Cybersecurity Awareness”: 5-day course on protecting personal data online
- Education:
- “Language Learning Sprint”: 2-week intensive course with daily vocabulary and grammar lessons
- “Exam Prep Countdown”: 10-day series with study tips and practice questions leading up to an exam
- Food and Cooking:
- “Weeknight Dinner Ideas”: 5-day series with quick and easy recipes
- “Baking Basics”: 7-day introduction to essential baking techniques
- Entertainment:
- “Film Festival Highlights”: Daily updates and reviews during a week-long film festival
- “Artist Spotlight”: 5-day deep dive into a musician’s career, culminating in a new album release
- Home Improvement:
- “Spring Cleaning Challenge”: 7-day series with daily decluttering and organizing tasks
- “DIY Weekend Project”: 3-day guide to completing a home improvement project
- Automotive:
- “Car Maintenance 101”: 5-day course on essential car care tips
- “EV Exploration”: 7-day series introducing different aspects of electric vehicles
- Beauty and Skincare:
- “Skincare Routine Builder”: 7-day guide to creating a personalized skincare regimen
- “Makeup Masterclass”: 5-day series featuring different makeup techniques
- Professional Development:
- “Networking Ninja”: 5-day challenge to expand professional networks
- “Public Speaking Bootcamp”: 7-day course to improve presentation skills
**
The convergence of M3 and E3 at their “crossing” point heralds a new era in digital marketing, particularly in the realm of email engagement. This intersection is brought to life through four innovative concepts: ELM (Email Language Model), Email Twin, Epps Footer Containers, and Email Minis. Together, these ideas leverage the predictive power of AI and the ubiquity of email to create hyper-personalised, interactive, and highly engaging customer experiences. ELM streamlines content creation, while Email Twins enable precise targeting. Epps Footer Containers transform every email into a dynamic engagement platform, and Email Minis offer focused, time-bound content experiences. This synergy between AI-driven insights and interactive email capabilities not only enhances customer engagement but also provides a continuous feedback loop, constantly refining our understanding of each customer. As we stand at this crossing, this “fusion of futures” between M3 and E3 can help us unlock unprecedented levels of marketing effectiveness, driving higher conversion rates, customer loyalty, and ultimately, profitable growth.
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More Ideas
I asked Claude and ChatGPT and Claude to suggest more ideas at the “crossing” of M3 and E3.
Claude
Journey Compass is an AI-powered navigation system that dynamically adjusts email content based on the recipient’s position in their customer journey. By combining the predictive capabilities of M3’s Digital Twins with E3’s interactive email features, Journey Compass creates a personalized map for each customer. It analyzes past interactions, current context, and predicted future behaviors to determine the most relevant content, offers, and calls-to-action for each email. This system ensures that every email sent is not just a message, but a strategic step in guiding the customer towards their next best action, whether it’s making a purchase, upgrading a service, or engaging with new content.
Sentiment Sync is an emotional intelligence layer that adapts email content based on the recipient’s current emotional state and preferences. This system combines natural language processing from M3 with E3’s real-time content adaptation capabilities. By analyzing recent customer interactions across all touchpoints, social media sentiment, and even external factors like local events or weather, Sentiment Sync adjusts the tone, imagery, and messaging of emails to resonate with the recipient’s emotional context. This could mean sending a more empathetic message during challenging times or an upbeat, celebratory email when the customer has recently had a positive experience with the brand.
Micro-Moment Maximizer capitalizes on brief windows of high engagement potential identified by M3’s predictive analytics. This system triggers instant, highly personalized micro-emails or in-email notifications at precisely the right moment. For example, if a customer is predicted to be in a purchase-ready state for a specific product category, the Micro-Moment Maximizer could instantly deploy a targeted offer or product recommendation. These micro-interactions, delivered through E3’s dynamic email capabilities, are designed to capture attention and drive action during fleeting moments of peak relevance.
Adaptive Learning Loop (ALL) creates a continuous feedback system between email interactions and M3’s AI models. Every email interaction, from opens and clicks to hover times and scroll depth, is instantly fed back into the AI system. This real-time data updates the customer’s Digital Twin, refines the Large Customer Model, and informs the Co-Marketer’s strategies. The ALL system then immediately applies these learnings to optimize subsequent emails, creating a virtuous cycle of ever-improving personalization. This could manifest as real-time adjustments to email content, send times, or even triggering follow-up emails based on how a recipient interacts with a message.
ChatGPT
Real-Time Engagement Epps combine the predictive power of M3’s Large Customer Models with the interactive capabilities of E3. These Epps can dynamically update content based on real-time data and customer interactions. For instance, during a live event or flash sale, the Epp could provide up-to-the-minute updates, exclusive offers, or limited-time deals directly within the email. By leveraging real-time data, brands can create a sense of urgency and exclusivity, driving higher engagement and conversion rates. This fusion of real-time analytics and interactive email content ensures that every email is contextually relevant and timely, enhancing customer experience and loyalty.
Journey Mapper Epps utilize Generative Journeys from M3 to create dynamic, personalized customer journeys within emails. These Epps can adapt the email content based on the customer’s behavior and preferences, guiding them through a tailored experience. For example, a new customer might receive a welcome series with introductory offers, while a returning customer might see personalized product recommendations or loyalty rewards. By mapping out these individualized journeys, brands can ensure that each email interaction is meaningful and drives the customer further along the purchase path, ultimately increasing LTV and retention.
Feedback Loop Epps integrate zero-party data collection and analysis into the email experience. By embedding interactive surveys, polls, and feedback forms within Epps, brands can gather valuable customer insights directly from their inbox. The data collected is fed back into the Large Customer Models, refining the customer profiles and enabling more precise targeting and personalization. This continuous feedback loop not only enhances customer engagement but also ensures that the brand’s messaging remains relevant and effective. The seamless integration of feedback mechanisms within emails makes it easy for customers to share their opinions, fostering a sense of involvement and loyalty.
Predictive Action Epps harness the power of Agentic AI to anticipate customer needs and suggest the next best actions within emails. By analyzing historical data and real-time interactions, these Epps can predict what a customer might be interested in or ready to purchase next. For example, if a customer frequently buys sports gear, the Epp might suggest new arrivals in that category or related accessories. By offering highly relevant and timely suggestions, Predictive Action Epps can drive immediate action and boost conversion rates. This proactive approach to customer engagement ensures that every email is a step towards a sale or a deeper relationship.
Cross-Channel Sync Epps ensure that the messaging and experience within an email are consistent with other marketing channels like SMS, social media, and web. By integrating Adtech-Martech data, these Epps can deliver a unified customer experience across all touchpoints. For instance, a customer who clicks on a product ad on social media might receive a follow-up email with additional information, reviews, and a special discount. This synchronization ensures that the customer journey is seamless and coherent, enhancing brand trust and driving higher engagement across multiple channels.
Interactive Storytelling Epps leverage AMP technology and Generative Journeys to create engaging, narrative-driven email experiences. These Epps can guide customers through a story, with each interaction revealing new content, products, or offers. For example, a travel brand could create an Epp that takes customers on a virtual tour of a destination, with embedded videos, quizzes, and booking options along the way. By combining storytelling with interactivity, brands can create immersive experiences that capture attention and drive deeper engagement, making the email more than just a communication tool but an experience in itself.
