We’re Not the Same

Friends of Branded!

Happy Saturday and I hope you had a great week.

I was out to dinner with some friends and when the menus were handed out, a member of our party waved off being provided with one. He explained that he’d wait to hear the specials, and that he always orders one of the specials, b/c it’s what the chef is uniquely recommending for the guests that evening. 

Tell me you’ve never worked in the restaurant, without telling me you’ve never worked in a restaurant.

Of course, the daily specialty can offer chef-driven creativity and an excellent & unique offering. Of course!

On the other hand, the specials can also be used as a strategy to clear out excess inventory before ingredients spoil. The reality behind specials depends on the type of establishment, but let’s keep this simple, the word “special” doesn’t always mean “special.”

Grim reason why you should never order from the specials menu at a restaurant

This experience made me think of “false synonyms” that are used in restaurants, and I admit many don’t represent the best of our industry. Just saying.

The term “false synonym” often refers to deceptive menu descriptions or menu-speak that subtly misleads diners into assuming a higher quality, health standard, or production method than what is actually being served. A common example of a deceptive culinary term is “farm-fresh” which invokes imagery of local produce picked that morning or eggs gathered from pasture-roaming chickens. The reality, the term “fresh” has zero legal or technical meaning. Let’s face it, food from a standard factory farm technically came from a farm at some point.

You want another?

How about “handmade” or “artisanal” which suggests the item was crafted from scratch in the restaurant’s kitchen. The reality, many chain and "fake-fancy" restaurants use these labels for pre-packaged, mass-produced items (like sauces or pre-formed dough) that were simply warmed or plated on-site.

Just one more? Okay, if you insist.

One of my favorites, “grass-fed” which implies the animal lived a free-range life, grazing on natural pastures and is leaner & healthier. The reality, an animal can be labeled “grass fed” even if it spent the vast majority of its life in an industrial feedlot and was only fed grass during its final week.

Sorry, not sorry, but you can’t believe everything you read or maybe better said, what you think something means may not be necessarily accurate.

At a recent conference, I was listening to folks use the words personalization and loyalty somewhat interchangeably, and with that, let’s dive into this week’s topic, personalization is NOT loyalty.

Operators, let’s be direct about something our industry has been sloppy with for a couple of decades: loyalty and personalization are not the same thing and treating them as such has cost you margin, frequency, and competitive ground. And in 2026, it’s going to cost you more if you don’t learn the difference.

To be crystal clear, I’m not “wordsmithing” here and this is not a marketing-team conversation. This is a P&L conversation, and it belongs on the same page as your labor model and your food cost.

Do I have your attention now?

Loyalty is a reward structure and uses some form of points, punches, tiers, and discounts. It tracks what a guest has already bought and triggers a reward when they cross a threshold. A loyalty program does not need to know your guest, it just needs to count transactions. It treats guests as segment members: new, frequent, lapsed, and for Schatzy, VIP. 😊

Personalization is an intelligence layer, and it reads each individual guest’s behavior, preferences, price sensitivity, and visit cadence. It then tailors the experience accordingly and treats every guest as a segment of one.

Loyalty rewards behavior that already happened while personalization anticipates and shapes the behavior that’s about to happen. If you’re trying to grow frequency, lift checks, recover lapsed guests, or protect margins, only one of these tools is actually doing the work (and spoiler alert, it isn’t loyalty).

Here’s the part most ResTech companies will not say to your face: what the industry has been selling as “personalization” for the last decade is ”segmentation“ (with better fonts). You build a segment, for example, “lapsed high-value guests, 5+ orders, no visit in 60 days, Average Order Volume (“AOV”) over $18,” and you send all 120,000 of those guests the same offer. Usually “$5 off any entrée.” You A/B test the subject line. Maybe you test “$5 off” against “20% off.” Every guest inside the segment gets the same coupon.

Let’s be clear, that’s not personalization. That’s a mass discount with a filter on it.

Please don’t misunderstand, segmentation has been, and will continue to be, a useful tool, but it has a ceiling (and most operators hit it years ago). The guest who lapsed b/c they moved offices needs a completely different offer than the guest who lapsed b/c they tried your competitor. Your daily coffee buyer doesn’t need a discount, she needs a free upsize that builds a premium habit. Your price-sensitive lunch regular and your multi-channel diner with a consistent basket are two different economic problems. Sending them the same $5-off coupon is, in margin terms, a self-inflicted wound.

Branded sits on the side of operators, so please don’t think I’m shamming or suggesting that operators are behind the curve when it comes to personalization. Until 18-months ago, true 1:1 personalization at scale wasn’t even technically feasible (you want to talk about plausible deniability, the tech didn’t exist for operators to do personalization-thing at scale). The data for personalization was too fragmented across the POS, loyalty, delivery, and warehouse. The compute was too expensive and the decisioning logic was too complex for any human marketing team to maintain across millions of guests.

Here’s where the rubber hits the road this week.

AI models trained on unified guest data can now do what no marketing team could do manually: read each guest’s behavior, taste profile, price sensitivity, channel preference, and visit cadence, and assign the single offer most likely to drive a profitable response. Same campaign. Same segment. Same offer library you already have. Different offer per guest. Automatic.

The operators running this in production are not reporting incremental lift. They’re reporting dramatic movement on the three numbers operators actually care about:

Pay attention to that last one.

The restaurant industry has spent two decades training guests to expect discounts (attention K-mart shoppers), and the cumulative margin damage from blanket “$5 off” blasts is enormous. Giving Schatzy a free signature drink at $1.20 fixed price cost is a fundamentally different P&L decision than giving him (and 119,999 other people) $5 off an entrée. One reinforces a premium ritual. The other erodes your margin at scale.

Last week I shared my love of the gameshow Family Feud, so in keeping with that gameshow, across the full field of AI applications in restaurants (labor forecasting, voice ordering, inventory and demand, computer vision, predictive maintenance) personalization sits among the Top 5 answers on the board when it comes to near-term ROI.

Strategically, if we tweak the question and ask what the single most durable competitive advantage may be available to operators right now, I’m going to argue that personalization is the top answer (on the board)!

Four reasons why I believe this to be true when it comes to personalization.

I also want to be clear and say that this is not just an operator story, it’s also where capital is moving. That matters, b/c the vendors raising money in 2026 are the vendors who’ll still be standing in 2028.

Here’s the reality, the venture market has “fundamentally bifurcated” between AI-native businesses scaling at unprecedented rates and traditional SaaS companies struggling to raise at all. “AI-native or AI-integrated” has become a prerequisite for credible capital formation in restaurant technology. Companies that did not thoughtfully integrate AI into their core workflow in 2025 are not raising in 2026.

What’s true for vendors raising capital is structurally true for operators competing for guests. The brands integrating AI into core guest engagement now are positioning for the next cycle. The brands that don’t, won’t.

If you’re an operator, this should change your vendor diligence. If you’re an investor reading this newsletter, it should change your pattern recognition on where defensibility actually lives in the next wave of ResTech.

Readers of the H^2 know my love of economist Milton Friedman and specifically his views when it comes to the motivation by self-interest.

With the self-interested disclaimer now behind us, I want to share that Branded Hospitality has partnered with Hang b/c the company is one of the cleanest live expressions of what 1:1 personalization looks like inside a real restaurant tech stack. We’re surfacing it here for the same reason we surface anything in Top of the Fold, b/c we believe operators should know what’s actually working, and investors should know where the category is moving.

In the spirit of fairness (always), Branded knows Hang is not the only company working on this. Operators should evaluate the category seriously and ask hard questions of every vendor in it. But for Branded, we see Hang as the leading example of where the technology has actually moved, and what is now possible without tearing apart what you’ve already built.

The bottom line (or in this case, the Bottom of the Fold), most operators don’t have a loyalty problem. You have a personalization opportunity that, until recently, was theoretical and is now operational.

The operators who keep treating 120,000 lapsed guests as one audience receiving one offer will keep getting the redemption rates, discount costs, and frequency curves they’ve always gotten. The operators who let AI assign the right offer to each individual guest inside that same audience will get different numbers, including better redemption, better net revenue per guest, lower discount cost, and over time, a guest engagement moat their competitors cannot easily close.

Your guests are unique. Your marketing should be too. The tools to do this finally exist. The only question left is whether you move now, or watch a competitor move first.

Interested? You know what to do.

It takes a village.

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DEAL ROOM: From Apron to Owner — Gregorys Coffee Signs Its First Franchisee, and He’s Family

Every once in a while, a deal tells you something about how a brand was actually built. This week, we got one.

Gregorys Coffee, the Manhattan-born, family-run specialty coffee company founded in 2006 by Gregory Zamfotis, just signed its first-ever franchise agreement. And the operator on the other side of the signature? Stavros Zamfotis. Gregory’s younger cousin. Nine years inside the business. Started as a barista. Worked his way up to district manager. Helped scale the brand from 5 to 36 locations across New York and New Jersey. And is now opening his first owned-and-operated unit in Bergen County, NJ.

You can’t script that. (Well, you can, but the audience always knows)

On the surface: one store, one operator, one county. Pull back, and there are three signals that made me want to share this in The Deal Room this week: 

The takeaway - Gregorys is now actively seeking experienced operators in the Southeast, Mid-Atlantic, Midwest, Mountain West, and select West Coast regions. If Stavros is the prototype they’re underwriting against, the bar is set high (and that’s exactly where it should be).

Coffee is one of the most punishing categories in foodservice. The brands that win are built on culture, craft, and operators who actually care.

Gregorys looks like it plans to franchise the way it built, one Gregular, one barista, and now one franchisee at a time. Respect.

To learn more about franchise opportunities or other areas of collabortion with Gregorys Coffee & Craveworthy Brands, please click here (or contact me directly).

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