Clienteling Is Dead. It Always Was Dead. Long Live Clienteling.

The promise of clienteling is a surefire win: treat a customer like someone at the store actually knows them, and they buy more, come back more often, and stick around longer. The benefits show up in average order value, conversion rates, customer lifetime value, and other indicators that suggest clienteling is one of retail’s most proven ways to build loyalty.

Nobody’s disputing that part. I’m not disputing that part.

Yet the mechanism clienteling was built on has never fully been able to deliver on that promise.

Clienteling asks a specific associate to remember a specific customer, be on shift when it matters, and notice the right trigger — the size that just came in, the color the customer asked about in April — in real time, armed with nothing but a notebook, a CRM tab, and whatever is left of their attention after ringing up a line at 6 p.m. on a Saturday. And that’s assuming the associate is working when the customer wants to be contacted.

Retail’s frontline turnover rate runs around 60% a year industrywide. Clienteling builds a customer-relationship strategy on top of the most volatile workforce in the economy, then acts surprised when those relationships keep walking out the door with the people who nurtured them.

And even in stores where an associate stayed, remembered, and cared, clienteling worked for maybe the top 1% of customers. It was never a strategy for your entire customer file. It was a VIP program with better branding.

Mid-market retail — where most of us actually shop — never got the promise in the first place. Nobody is using clienteling for the customer who comes in four times a year for running shoes. There was no mechanism built for them. There still isn’t.

AI-assisted clienteling is still an associate with a slightly smarter notebook, and the notebook still needs a human to open it.

Meanwhile, the rest of retail marketing went and solved a completely different problem. Several major marketing platforms shipped “autonomous” AI agents this year that can build and run entire campaigns without a human pressing “send.” Impressive — and also completely blind to the one thing that actually matters here: what just happened in the store.

Marketing’s triggers are carts, clicks, and calendars. A box of fall sweaters landing in a back room doesn’t exist to them. They scaled the message, but they never touched the moment.

And it’s the moment that matters.

Consumers consistently tell the industry that they want to be contacted about things with immediate relevance. “Your order is ready for pickup” is an obvious example. “The shoes you usually want this time of year are now available at the store just blocks from you” could easily be another.

I might like the sweater featured in the email you sent. That’s personalized. But is it relevant to what I care about right now? Trying to hit that mark is like trying to thread a needle in a haystack — forget about trying to find it.

Loyalty is having its own version of this reckoning but just a few years behind. Gartner predicts that by 2030, one in five loyalty programs will drop universal perks entirely in favor of member-specific ones. A points-per-dollar tier chart was really only ever a pay-for-your-data scheme.

Same story as clienteling, really; the promise — “Treat me like you know me” — was always correct. The delivery mechanism — a tier chart, a black book, a birthday email — was always a placeholder for something better that hadn’t been built yet.

That something better isn’t a smarter associate, and it isn’t a smarter campaign calendar either. It’s an approach that treats every arrival, markdown, and restock as a trigger that can be acted on for every opted-in customer — not just the ones an overworked associate happened to remember on a good shift.

Clienteling was never a failed idea. It was simply trapped in the only delivery mechanism retail could give it a decade ago: one human being’s capacity to act on one shift, for one customer at a time.

Failed mechanisms aside, the promise and payoff of clienteling are as real as ever. It’s still waiting for an instrument that can carry it through every store and every shift, for every customer — not only the ones lucky enough to be remembered.

For retailers trying to decide if you’re going to focus on “friction in the customer journey” to help prioritize where you’ll invest in AI, or if instead you want to rethink what kind of customer journey is possible with AI, clienteling just might be the first place to look.