True AI-driven e-commerce isn't about A/B testing visual elements, which AI agents ignore anyway. The real value is in dynamic merchandising: using context to instantly curate and present the most relevant products and categories, effectively creating a unique, hyper-relevant store for every visitor.

The era of 20% email open rates is not the end game. AI enables 'uncomfortably specific' targeting in subject lines and content, which can dramatically boost engagement. This has the potential to bring open rates back towards the highly effective levels seen in email's early days.

Generic advice like "send an abandoned cart email after two hours" is obsolete. AI analyzes individual browsing and purchasing history to predict the optimal time to re-engage a user, such as sending a follow-up at 9 PM to a parent who browses at noon.

As AI tools become ubiquitous, customer expectations will shift. Receiving an irrelevant ad or email will no longer be a minor annoyance but a signal that the brand is technologically inept. Personalization is evolving from a competitive advantage to a basic requirement for brand credibility.

Companies can use AI to generate unique, 'ephemeral software' experiences for marketing campaigns. Instead of a generic Spotify Wrapped-style review, businesses can now affordably create a custom, interactive 'unwrapped' summary for each user based on their specific product usage data, costing just cents in tokens.

Modern AI enables hyper-personalization where every email element—copy, images, discounts—is generated uniquely for each shopper based on real-time site behavior. This moves beyond simple segmentation to a one-to-one communication standard.

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.

To achieve personalization efficiently, Samsung creates a few core email templates. They then use third-party tools like Movable Ink to dynamically insert content modules based on individual customer data, such as products owned or purchase propensity. This avoids massive versioning complexity.

AI agents can continuously experiment with variables like subject lines, send times, and offers for each individual user. This level of granular, ongoing A/B testing is impossible to manage manually, unlocking significant performance lifts that compound over time.