Latest / Franchise Conversations with Fexingo: Buying, Running, and Scaling Franchise Businesses / How Franchisees Win With Dynamic Menu Pricing
Transcript
- Lucas: If you walk into a coffee shop on a rainy Tuesday morning versus a sunny Saturday afternoon, the price of your latte is theoretically the same. But for the franchise owner, the cost structure, the foot traffic, and even the opportunity cost of that shelf space are completely different. The old model of static pricing is becoming a liability when overhead fluctuates so wildly. Luna: Right, and I think consumers are getting smarter about it too. They notice when prices shift based on demand, whether it's Uber surge pricing or airline tickets. So why hasn't the restaurant franchise industry caught up at the same speed? Lucas: Because there is a massive cultural hangover around the word 'fair.' In food service, especially quick-service franchises, the promise has always been consistency. If I buy a burger for ten dollars today, I expect it to be ten dollars next month. When you introduce variable pricing, you risk breaking that psychological contract with the customer. Luna: But isn't that contract already broken by inflation? If costs go up, shouldn't the price reflect that immediately rather than waiting for a quarterly menu overhaul? Lucas: That is the exact tension we are seeing play out right now. Let's look at a specific case: a mid-sized quick-service pizza franchise in the Midwest. Last year, their cheese costs jumped by twelve percent quarter-over-quarter. Instead of waiting six months for corporate approval to raise prices across the board, their regional operator implemented a digital-only dynamic pricing engine. Luna: Digital-only? So it doesn't show up on the physical menu board outside? Lucas: Exactly. The physical sign stays static for brand recognition and impulse walk-in traffic. But if you order through the app or use the kiosk inside, the prices adjust in real-time based on three variables: local ingredient availability, predicted labor density for that hour, and even the weather forecast. It sounds complex, but the math is simple margin protection. Luna: So they are essentially charging more when it is harder to fulfill the order efficiently? That seems logical from an operational standpoint, but does the customer actually accept it? Lucas: Here is where it gets interesting. The data showed that for digital users, price sensitivity drops significantly compared to walk-ins. A loyal app user who orders weekly is less likely to abandon cart over a twenty-cent fluctuation than a new customer walking past the window. The operator saw a four percent lift in average ticket size without a drop in volume. Luna: Four percent might sound small, but on a franchise unit level, that is pure bottom-line improvement. But what about the backlash? Do people share these price changes on social media? Lucas: They do, but only if it feels arbitrary. The key is transparency in the algorithm. Some forward-thinking brands are now adding a tooltip on the checkout screen that says, 'Current price reflects high demand and fresh ingredient sourcing.' It frames the higher price as a quality indicator rather than a gouge. Luna: I like that framing. It turns a negative—higher cost—into a positive—freshness and popularity. It’s basically price anchoring but in reverse. You anchor the value, then the price follows. Lucas: Precisely. And this isn't just theoretical anymore. We are seeing adoption accelerate among fast-casual chains because they have the tech stack to support it. Traditional quick-service brands with older legacy systems are lagging, which creates a competitive advantage for those who can adapt quickly. Luna: So this is really a technology story disguised as a pricing story. You need the API integration, the real-time inventory tracking, and the mobile app infrastructure to make dynamic pricing work at scale. Lucas: Absolutely. You cannot do this manually. If a manager has to change prices every hour, they will burn out. The system has to be automated. And that automation requires data. If you don't know your daily sales patterns down to the fifteen-minute mark, you are flying blind. Luna: Which means most small franchise owners are stuck. They don't have the data maturity to pull this off. Does this widen the gap between big chains and independents? Lucas: It does, but not necessarily in the way you might think. The big chains are struggling with complexity. Their menus are huge, so the algorithm has to manage thousands of SKUs. For a smaller franchise with a focused menu of fifty items, it is much easier to calibrate. The leverage per item is higher. Luna: So agility beats size here. A smaller player can test, tweak, and roll out a pricing strategy faster than a corporate behemoth that needs board approval. Lucas: Correct. And there is another layer: loyalty programs. Dynamic pricing works best when paired with personalized offers. If the system knows you usually order on Tuesdays, it might offer you a slight discount on a Tuesday evening to fill a slow slot. That is hyper-personalized value creation. Luna: It feels like surveillance capitalism applied to lunch. But if I get a better deal because the restaurant needs my business, who is really losing out? Lucas: Nobody loses if it is voluntary. The consumer trades data for savings, the franchisee trades margin for volume. It is a mutually beneficial exchange. The risk comes when the discounts become unpredictable. If I can never plan my budget because prices swing wildly, I stop trusting the brand. Luna: So predictability is still king. You can vary the price, but the customer needs to feel like they understand the rules of the game. Lucas: Exactly. The best implementations feel like a secret club. You are getting a better rate because you are part of the inner circle, not because the market crashed. It shifts the narrative from exploitation to exclusivity. Luna: That is a powerful psychological shift. Exclusivity drives desire. Exploitation drives resentment. Franchise owners need to decide which side of that line they want to operate on. Lucas: And they need to communicate it clearly. Most failures in dynamic pricing happen because the marketing team didn't align with operations. If ops raises prices during peak hours, marketing needs to be ready to justify that premium with added value—maybe faster service, better seating, or priority handling. Luna: Otherwise, you are just charging more for the same experience. That is a fast track to churn. Lucas: Right. So, the takeaway for our listeners is that dynamic pricing is not just about raising rates. It is about managing capacity and perceived value simultaneously. It requires a sophisticated tech setup, but the payoff in margin stability is worth the investment. Luna: Especially in this economic climate where input costs are volatile. Static pricing is just leaving money on the table. Lucas: Before we wrap up, I want to mention something important. If these conversations have moved your work forward in some small way, consider supporting the show directly. We keep Fexingo ad-free and independent because of listeners like you. Honestly, if today was worth a coffee to you, that is the link — buy me a coffee dot com slash fexingo. Luna: Yeah, it really helps us dig deeper into cases like this one without chasing sponsors. Thank you for keeping the lights on. Lucas: Back to the topic. One final thought on implementation. Start small. Pick one day of the week, maybe your slowest period, and test a modest discount or surcharge. Monitor the data closely for two weeks. See how customer sentiment reacts in reviews and social comments before expanding the scope. Luna: Low-risk testing is the best way to build confidence. You learn what your specific market tolerates without betting the whole house. Lucas: Exactly. And remember, the goal isn't to maximize every single transaction. It is to stabilize your cash flow and protect your margins against external shocks. In a franchise model, resilience is the ultimate competitive advantage. Luna: So, are you going to start looking at your own menu prices differently tomorrow? Lucas: I am. I just ordered a sandwich and noticed the price went up slightly because it was raining. I didn't even realize the system had changed until I looked closer. That is the power of invisible dynamics. Luna: Well, hopefully, the sandwich tasted as good as the strategy sounded. Thanks for walking us through this.