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April 28, 2026 · 2 min read timeLoyalty programs were supposed to solve retention. Instead, many have become background noise. As agentic AI reshapes what personalisation can actually mean, the brands winning on loyalty aren't just upgrading their tech stack. They're rethinking the relationship model entirely.
What if your loyalty program is actually making customers less loyal?
Most loyalty programs are failing. Not because the mechanics are broken, but because the thinking behind them is getting old.
For decades, brands built loyalty on a simple assumption: collect enough data, offer enough points, and customers will stay and love you. The problem? Customers evolved faster than the programs built to serve them.
Today’s consumers are members of roughly 18 reward programs but only actively engage with about a third of them. Points don't create preference. Discounts don't build relationships.
The real bottleneck isn't data. It's latency.
Brands have more customer data than ever. The challenge is acting on it in time. 30% of global data is now generated and consumed in real-time, yet many retailers are still personalising offers days or weeks after a customer has signaled intent. That gap isn't just an operational inefficiency. It's a trust problem.
The shift that separates leaders.
Loyalty leaders no longer see loyalty as a discount mechanism. They see it as a holistic customer experience: not just transactional but emotional. The goal isn't earn and burn. It's making someone feel genuinely known, seen and heard across every touchpoint, not just at the point of purchase.
This is where agentic AI changes the game. Not as a chatbot bolted onto a loyalty app, but as the operational layer that reads signals – behavioral, contextual, emotional signals – and act on them before the moment passes.
Think about what that looks like in practice: a loyalty app that notices it's a cold Monday morning and proactively offers a warm drink to a customer who hasn't visited in a week. That's not personalisation in the traditional sense. That's empathy and timing.
Gartner forecasts that by 2028, 60% of brands will use AI agents to deliver personalised one-to-one customer interactions. The brands getting there first aren't just investing in technology. They're rethinking what loyalty is for.
Three layers worth naming
1) Transactional loyalty is points, discounts, earn and burn. These are the basics, not differentiators.
2) Relational loyalty is knowing preferences, history, context. Necessary, but still mostly passive.
3) Emotional loyalty is making someone feel consistently valued and seen. This is where retention actually happens.
Most brands are stuck at layer one or two. The data infrastructure investment was real, but the emotional layer is still missing, because the systems couldn't act fast or personally enough to close the gap. Agentic AI is what makes the third layer operationally easier achievable.
The strategic question isn't whether to invest in this. It's whether your loyalty strategy is still designed around what customers do, or starting to be designed around who they are.
Written by
Jesse Pitkänen is a Principal Consultant of Strategy & Experience at Nitor who used to make brands beautiful and now makes them digital. He still thinks most tech decisions are secretly brand decisions. He works at Nitor helping companies figure that out.
