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True personalization goes beyond semantic relevance. It now includes allowing the user to choose their preferred consumption format in real-time—be it audio, a visual story, or text. This "dynamic multimodality," previously too costly, is now possible with advanced AI models like Gemini.

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The future of personalization may involve a two-step process. A centralized AI (like Criteo's) will provide strong recommendations. Then, a smaller, privacy-centric model running locally on the user's device (e.g., in their glasses) will perform the final, hyper-personalized adjustments, keeping the most sensitive data private.

AI will soon create a unique user interface for every individual, adapted to their needs. For designers, this means shifting from creating fixed systems to defining flexible boundaries within which form and function can blend, balancing personalization with brand identity and usability.

Personalization has evolved beyond using a first name. AI platforms like Instant now generate completely unique emails for every shopper, dynamically altering subject lines, copy, images, and offers based on individual behavior and context.

Marketers are tempted to create simple, agent-first content to rank in AI models. However, this often alienates human users who prefer rich, multimodal content (video, audio, visuals). The key is to serve both audiences without sacrificing the human experience for purely algorithmic optimization.

The evolution of personalization won't just be one-to-one marketing to a person, but marketing to their AI agent. Brands must learn how to provide data signals and recommendations that influence an AI's choices on behalf of its user, a paradigm shift from traditional consumer engagement models.

The future of media is not just recommended content, but content rendered on-the-fly for each user. AI will analyze micro-behaviors like eye movement and swipe speed to generate the most engaging possible video in that exact moment. The algorithm will become the content itself.

Instead of batching users into lists for A/B tests, AI can analyze each individual's complete behavioral history in real-time. It then deploys a uniquely bespoke message at the optimal moment for that single user, a level of personalization that makes static segmentation primitive by comparison.

As AI memory becomes ubiquitous, user expectations will shift dramatically. The concept of 'onboarding' will be replaced by instant personalization. Any new product that doesn't immediately know the user's context and preferences will feel broken, making deep AI integration a table-stakes requirement for all software.

The next wave of personalization isn't pre-built campaigns. AI agents will dynamically construct hyper-personalized messages from a library of content "Lego blocks" at the exact moment a customer opens an email, ensuring maximum relevance.

Current ABM focuses on tailoring the message. The next evolution, powered by AI's data processing capabilities, is tailoring the delivery channel to individual preferences. This means identifying if a prospect responds better to LinkedIn ads or email and optimizing spend accordingly for maximum impact.

Personalization Is Evolving From the Right Message to the Right Modality | RiffOn