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.
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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.
