Taking Personalization Beyond the Bot

By Michael Wood
Director of Strategy

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A lot of brands are stuck right now. Fragmented customer experiences, data locked in silos, pressure to "do something with AI,” but no clear strategy to pull it together. Meanwhile, competitors who've figured out how to unify their data and build smarter, more connected customer journeys are pulling ahead. The gap is widening, and it's widening fast.

The good news? There's a clear path forward. And it starts with rethinking what personalization actually means in the context of today’s consumers.

For years, "personalized" just meant segmented. You grouped customers by age, location, or spending habits, built a few prebuilt journeys, and called it a day. But customers don't think of themselves as a singular category and they definitely don't shop like one. They want experiences that actually reflect who they are: their preferences, their intent, their specific moment in the journey.

That's where scalable AI has the power to change things. We're not talking about a chatbot that guesses your name or guesses your location. We're talking about real-time, genuinely individualized experiences built for the actual person, not the average one.

From Segments to Individuals

Historically, grouping by gender, geography, or spend tier was the best brands could do. It wasn't a bad strategy; it was just the limit of what was possible. AI has changed that equation. It's now scalable, cost-effective, and accessible, which means there's no longer a good reason to settle for "close enough."

This is the shift from experiences that feel prepackaged to ones that feel like they were made for you — because they were, in real time.

The most powerful personalization doesn't ask customers to fit your system. It builds the experience around them. In practice, that looks like:

• AI-generated content that meets customers where they are, whether they're just browsing or ready to buy, and guides them naturally to what's next.
• Dynamic pricing and offers tailored to what a customer actually values. This could be a loyalty perk, free shipping, a personalized discount. Whatever it is, it turns pricing into an engagement tool, not just a transaction.
• Proactive service built on past behavior: what they've asked, clicked, skipped, or abandoned. Anticipating the next question before it's asked isn't just smart, it's what customers are starting to expect.

Personalizing Payment

Here's something that often gets overlooked: personalization doesn't stop when someone clicks "buy." It extends all the way through checkout. Adyen's most recent Retail Index Report found 49% will abandon a purchase if they can’t pay how they want. On the flip side, 60% of retailers surveyed are prioritizing initiatives that reduce checkout times.

In addition, AI continues to change the game when it comes to payments and pricing. One of the more underutilized applications of LLMs in commerce is dynamic pricing — not in the broad, algorithmic sense, but at the individual level. When a shopper interacts with an LLM-powered experience, the model can interpret signals in real time: what they're browsing, how they're phrasing questions, what they've purchased before, and even where they are in the decision-making process. 

From there, it can inform pricing logic that feels less like a discount and more like a relevant offer. This can look like surfacing a loyalty perk for a high-value returning customer or offering a first-purchase incentive for someone still on the fence. 

The result is pricing that doesn't just respond to market conditions, but tailors a response to each individual shopper. This effort is turning what's traditionally been a static lever into one of the most personal touchpoints in the entire shopping journey.

The through-line? Personalization that stops at the storefront leaves money (and loyalty) on the table. When you unify the entire journey, from first browse to final payment, that's when experiences stop feeling transactional and start feeling genuinely rewarding.

A Solid Foundation

So, how do you actually get there? Always start with the foundation:

• Get closer to your data. Know your customers through their real behaviors and interactions — not just the segment they've been assigned to.
• Break down silos. CX, marketing, data, and product need to work from a unified view of the customer. Siloed teams produce fragmented experiences, and that's exactly the problem we're trying to solve.
• Invest in your people. The next era of personalization will be led by teams who know how to use AI as a tool for creativity, empathy, and strategy — not just automation.
• Choose tools that scale. AI-powered content engines, recommendation algorithms, and journey orchestration all prove that the technology is there. Now's the time to actually activate it.

The brands that will win in this next era of commerce aren't the ones with the most data, but the ones who know how to use it to make every customer feel like the experience was built just for them. Because in a world where every customer expects more, personalization isn't a nice-to-have. It's the only way to stay in the game.