Latest / Restaurant Business with Fexingo: Food Service, Hospitality, and Independent Operators / Why Restaurant Loyalty Programs Are a Data Play
Transcript
- Lucas: Loyalty programs in restaurants feel like a classic win-win. You come back, you get a free appetizer, the restaurant gets repeat business. But the economics have shifted in a pretty under-the-radar way. Luna: How so? I mean, I still use the punch card at the coffee shop down the street. Lucas: Right, those still work. But the big chains — Darden, Starbucks, Chipotle — they've turned loyalty into a data play. It's no longer just about retention. It's about understanding what each customer will pay, when they'll pay it, and what else they might buy. Luna: Okay, so it's like airline miles for food. But restaurants have thinner margins. How does that math work? Lucas: Exactly. That's the tension. Darden, which owns Olive Garden, LongHorn Steakhouse, and a bunch of others, has over 40 million members in its loyalty program. They've been tracking not just visits, but what items people order, what time they come in, whether they use a coupon or not. Luna: And that data is valuable beyond just sending a birthday coupon. Lucas: Hugely valuable. They can segment customers by profitability. Someone who always orders a pasta dish with a soda and no appetizer — that's a lower-margin customer. Someone who adds a cocktail, an appetizer, and a dessert — that's a higher lifetime value. They can target offers to move the first group up the value chain. Luna: So the free breadstick isn't really free. It's a data acquisition cost. Lucas: Exactly. And the data itself can be monetized in ways customers don't see. Restaurants can sell anonymized data to vendors — like a produce supplier paying to know which menu items are trending in which regions. Or they can do dynamic pricing within the loyalty ecosystem. Luna: Dynamic pricing — like Uber surge pricing for pasta? That sounds risky for a casual dining brand. Lucas: It is, but it's happening subtly. Starbucks has experimented with personalized offers — someone who hasn't visited in two weeks might get a $2 off latte. Someone who visits daily gets nothing. That's price discrimination, but it's framed as a reward. Luna: And customers generally don't mind because they see it as a perk. But there's a ceiling, right? If loyalty feels like a surveillance tool, people push back. Lucas: That's the big risk. In Europe, regulators are already looking at how restaurant chains use loyalty data. And there's 'loyalty fatigue' — if every place has a program, none of them feel special. The average American belongs to over 17 loyalty programs but is active in maybe six. Luna: So the restaurant has to earn engagement every time. Just having a program isn't enough. Lucas: Right. The best programs make the customer feel like the restaurant knows them. Not just 'here's 10% off everything' but 'you always order the chicken piccata, would you like to try the new lemon caper sauce?' That's the data play done right. Luna: And that requires a tech infrastructure that small independents can't afford. So is loyalty only for the big guys now? Lucas: Not necessarily. There are third-party platforms like Belly or LevelUp that white-label loyalty for small chains and independents. The trade-off is you share your customer data with the platform. So you're not really owning the relationship. Luna: That's a big trade-off. Your customers become their data asset. Lucas: Exactly. That's why some independents go low-tech: a simple buy-ten-get-one card. It's less data, but it's also less cost and less risk. The question is whether that's enough to compete with chains that are micro-targeting. Luna: I think for a neighborhood place, the personal relationship might beat the algorithm. The bartender knows your name and your drink. That's data, just not digital. Lucas: That's a real advantage. But the chains are trying to replicate that with tech. Darden's program lets servers see customer preferences on a tablet before they walk to the table. 'Welcome back, Mr. Jones. I see you enjoyed the bourbon-glazed salmon last time.' Luna: That can feel either thoughtful or creepy. The line is thin. Lucas: It is. And the restaurants that get it right are the ones that make the interaction feel human. The data should enable hospitality, not replace it. If the server just reads from the screen, it fails. Luna: Speaking of things that enable good work — and this is a bit of a tangent, but it connects — I think about how shows like this one rely on small bits of listener support to stay ad-free. It's not a big ask, but it genuinely makes a difference. Lucas: Yeah, it's the same principle actually: small, consistent engagement adds up. We don't run ads, and the show stays free because of listeners who appreciate the deep dive and toss in a couple of dollars now and then. Luna: If you've gotten something out of these episodes — maybe a new way to think about your own business — a couple of dollars a month is genuinely what keeps these going. Buy me a coffee dot com slash fexingo. Lucas: Right. And we mean that. It's not a guilt trip. It's just a fact: that kind of support lets us keep doing the research and talking through these angles without selling your attention. Luna: Okay, back to loyalty programs. So we've talked about data and personalization. But there's another layer: the vendor side. Lucas: Right. Restaurants are starting to use loyalty data to negotiate better deals with suppliers. If a chain can show a vendor, 'Our customers buy your hot sauce in 40% of orders in the Southwest region,' that vendor might offer a volume discount or slotting fee. Luna: So the loyalty data becomes a sales pitch to vendors. That's a whole new revenue stream. Lucas: Exactly. Some chains are even creating 'data cooperatives' with other non-competing restaurants to pool insights and offer vendors a bigger picture. That could be a game-changer for smaller groups. Luna: But it also requires trust. Sharing data with potential competitors is risky. Lucas: It is. That's why these co-ops are structured carefully — anonymized, aggregated, no store-level data. But the potential is there. The restaurant industry has historically been behind retail on data analytics. That's changing fast. Luna: What about the long-term? Do you see loyalty programs becoming a utility, like a payment system? Lucas: Some analysts think so. Imagine a universal dining profile that works across multiple restaurants, like OpenTable but with rewards. That would be massive. But it would also concentrate power in a few platforms, which is the opposite of what independents want. Luna: So the independent's best move might be to double down on personal relationships and local partnerships, rather than trying to match the data play. Lucas: I think that's right. The data play is powerful, but it's not the only path. And for listeners who run a restaurant, the key question is: are you collecting data you actually use? Because unused data is just a liability. Luna: Right. Better to have a simple punch card and actually remember your regulars than a fancy app that no one opens. Lucas: Exactly. The tech should serve the hospitality, not the other way around. That's the bottom line.