Loyalty Data Isn't Missing — It's Stuck Between Departments

Satisfaction scores at one hotel loyalty program rose by double digits within a single quarter — and the company didn't collect a single new piece of data to do it. It simply routed what it already had to the front desk.

That case comes from a contributor essay published by Entrepreneur, written by a consultant who says he has watched the same failure mode play out across industries for years. His argument is blunt: most personalization efforts collapse the moment a customer needs help rather than a discount.

The scene he describes will feel familiar to anyone who has worked in a contact center. A customer of six years calls in. The rep asks for their account number for the third time on the same call.

"I've sat in enough boardrooms to recognize the moment a personalization pitch starts to unravel," the author writes. Someone presents the birthday email campaign, the loyalty tier upgrades, the perfectly timed discount code. Everyone nods. Then he asks what happens when that same customer calls with a problem. "The room goes quiet, because everyone already knows the answer."

What does the author mean by 'Customer ME Experience'?

The essay's core claim is that personalization lives in the marketing layer and disappears at every other touchpoint. Real personalization, the author argues, means the system knows what the customer needs before they have to explain it — at every touchpoint, not just the ones marketing controls.

He calls this discipline "Customer ME Experience": designing every interaction to adapt to the person in front of it. The stated goal is for customers to feel understood, not processed.

For practitioners, that reframing matters. It moves the benchmark away from campaign metrics and toward the service moments where loyalty actually gets lost — the repeat questions, the re-verified details, the agent who has no idea who's calling.

The three moves the author prescribes

The essay breaks the fix into three steps.

1. Map the journey the way the customer lives it. Most journey maps, the author argues, are drawn around departments and org charts rather than around what happens to the person moving through them. "Customers don't care how you're organized," he writes. "They care about what happens to them, so start there."

The diagnostic he recommends requires no new software. Watch where people quietly route around the official process. A customer who screenshots a confirmation email is telling you they don't trust your platform to remember their order. An employee who keeps a shadow spreadsheet next to the CRM is telling you the system doesn't give them what they need.

This is also where most efforts die, he warns. Marketing owns the campaign data. Support owns the ticketing system. Product owns the app. "Nobody owns the customer," the author writes. Until one leader takes responsibility for the full journey, the map stays a wall poster.

2. Connect the data you already have. The hospitality example carries the essay's strongest evidence. A loyalty program had spent years collecting detailed guest preferences — check-in habits, room temperature, pillow type, dietary needs. None of it reached the front desk. A guest who had stayed 40 times was asked the same questions as a first-time visitor.

The fix wasn't more collection. It was routing existing data to the moment it mattered. Once the loyalty system was connected to the property management platform, staff received a single view of each guest before arrival — and satisfaction scores rose by double digits within a quarter.

The author's generalization: connecting what you have is almost always faster and higher impact than collecting something new.

3. Build for continuous learning, not a single campaign. The companies that pull ahead won't be the ones that ran last year's sharpest campaign, the author argues. They'll be the ones whose systems get smarter every week, learning from every interaction and adjusting automatically.

This is where AI earns its place, he writes — pattern recognition no human team can do at scale, then getting out of the way. "Personalization that doesn't learn is just a more expensive version of what you were already doing."

How to personalize without feeling invasive

The essay draws a sharp line between surveillance and service. There's a real difference, the author says, between a platform that announces "We noticed you like X" and one that simply puts X in front of you. The first announces the surveillance. The second delivers the result. "One feels like being watched; the other feels like being taken care of."

He points to the wording choices that tip the balance. A retailer emailing "Since you bought running shoes last month, here's 20% off socks" is technically helpful. But the phrasing turns a convenience into a confession, spelling out exactly what's being tracked. A homepage that simply leads with socks in the right size and style, with no explanation, just saves the customer a search.

The principle: use what you know to make the experience easier, not to prove you were paying attention.

What does this change for operators this week?

The author's practical prescription is deliberately small. If you want progress in 30 days rather than a multi-quarter overhaul, pick one moment where customers repeat information they've already given you — and eliminate it. Just one.

That exercise, he argues, will quickly expose how disconnected your systems are and which teams need to be in the same room. His diagnosis of most failures is structural, not technical: "Most personalization failures aren't data problems. They're handoff problems. The data exists somewhere; it just isn't reaching the right person at the right moment."

Fix one handoff, he writes, and you learn how to fix the rest. Then the next time that six-year customer calls, nobody will ask them to repeat anything.