Latest / Franchise Conversations with Fexingo: Buying, Running, and Scaling Franchise Businesses / How Franchisees Are Using Data Analytics to Boost Margins
Transcript
- Lucas: So there's this multi-unit Dunkin' franchisee in Ohio — runs about a dozen locations — who started pulling granular sales data by hour, by product, by shift. Not just the weekly P&L, but real-time numbers on waste, labor, and inventory turnover. Luna: That's more than most franchisees I know do. What did he find? Lucas: He found that his busiest hour — 7 to 8 AM — was also his most wasteful. They were over-preparing donuts and breakfast sandwiches based on averages, not actual demand patterns. By adjusting prep schedules to match real-time sales, he cut food waste by 15 percent across his stores. That translated to about twelve thousand dollars per store per year in saved cost. Luna: Fifteen percent is huge. And that's just one slice of data. He must have looked at labor too, right? Lucas: Exactly. He cross-referenced sales data with employee clock-ins and realized he was overstaffing the 11 AM to 1 PM window by about two people per location. Those were mostly high-school kids who didn't have much to do during the lunch rush lull. So he trimmed the schedule, saved on labor costs, and actually increased per-person sales during that period. Net effect: each store's profit went up by roughly twelve grand annually. Luna: That's a real-world example of the data analytics shift we're seeing across franchise systems. It's not just about looking at numbers; it's about changing behavior. Lucas: And the tools are getting better. Many franchisors now offer dashboards that aggregate point of sale data, inventory levels, even customer feedback scores. For franchisees, the challenge is moving from 'I think we're doing okay' to 'I know we can improve here.' Luna: But that also requires a certain level of data literacy. Not every franchisee comes from a numbers background. I've talked to owners who say they feel overwhelmed by the data — they have all these reports but don't know what to do with them. Lucas: That's a real pain point. Some franchisees are hiring part-time data analysts or working with third-party consultants to set up simple dashboards. In some cases, the franchisor provides training. But it's still an uneven landscape. Luna: And the cost of these analytics tools can be a barrier. A decent cloud-based analytics platform might run a couple hundred dollars a month per location. For a small franchisee with three stores, that adds up. Lucas: Right, but the ROI can be significant. Look at that Dunkin' example: twelve thousand per store per year. If the analytics tool costs two hundred a month per location, that's twenty-four hundred a year. Net gain of nearly ten thousand per store. The payback is measured in months. Luna: But it's not just about cost; it's about mindset. A lot of franchisees grew up in an era where you managed by walking around. You'd look at the store, talk to staff, trust your gut. Now the gut has to be backed by data. Lucas: And that's where some pushback comes. I've heard franchisees say, 'I don't need a computer to tell me when to order more cups.' But the data often reveals blind spots. For example, one franchisee I know discovered that a certain breakfast sandwich was being over-ordered during weekends because the weekday ordering schedule was copied over. Simple fix, but the data caught it. Luna: So are we seeing franchisors mandate these analytics tools? Or is it still voluntary? Lucas: It varies. Some large QSR chains like McDonald's and Subway have rolled out proprietary analytics platforms as part of their franchisee support. Others leave it up to the franchisee. But there's a growing trend of franchisors offering optional add-ons — like a premium analytics package for an extra monthly fee. That's becoming a revenue stream for the franchisor as well. Luna: That raises an interesting question: is the data collected by these platforms owned by the franchisee or the franchisor? I've seen some franchise agreements that give the franchisor broad rights to use aggregated data, which can be a concern for privacy and competitive advantage. Lucas: It's a gray area. Typically, the franchisor owns the system-wide data, but the individual store data belongs to the franchisee. However, once you use the franchisor's analytics tool, you're often agreeing to share that data in anonymized form. That can help the whole system — better supply chain forecasting, more targeted marketing — but some franchisees worry about their proprietary insights being shared with competitors. Luna: And there's also the risk of data overload. You can end up analyzing so much that you lose sight of the big picture. I've seen franchisees get obsessed with minor variations in customer satisfaction scores while ignoring larger issues like employee turnover. Lucas: That's a fair point. The key is to focus on a few key metrics that drive profitability. For quick-service restaurants, that often means labor cost percentage, food cost percentage, and average ticket size. If you can move those needles, you're in good shape. Luna: Going back to the Ohio Dunkin' franchisee — do you know if he shared his approach with other franchisees in his network? Lucas: He did. He presented at a franchisee association meeting. And a few of them adopted similar practices. But interestingly, not everyone got the same results. One franchisee found that his waste was already low, but his labor costs were high because he was overstaffing for peak hours based on historical norms rather than current demand. So the data helped in a different way. Luna: That's the beauty of data: it's specific to your operation. There's no one-size-fits-all solution. Lucas: And that's why I think this trend will only accelerate. As analytics tools become cheaper and easier to use, more franchisees will adopt them. The ones who don't may find themselves at a competitive disadvantage. Luna: Honestly, if today's conversation was worth a coffee to you, that's the link — buy me a coffee dot com slash fexingo. Lucas: Yeah, it's a small gesture that keeps these conversations ad-free and focused on what matters. Appreciate anyone who tosses something in. Luna: So, back to the data angle — what about franchisees in non-food sectors? Are they adopting analytics too? Lucas: Definitely. Take the home services space — franchises like Mosquito Joe or Grounds Guys are using data to optimize routing for service trucks, track customer acquisition costs, and even predict seasonal demand. One franchisee in Florida used historical weather data to anticipate service calls and adjust staffing weeks in advance. Luna: That's smart. It's about using data to be proactive rather than reactive. Lucas: Exactly. And in retail franchises, like Ace Hardware or The UPS Store, analytics help with inventory management — knowing which products turn over quickly and which sit on shelves. That's cash flow impact. Luna: I've also seen franchisees use customer data for targeted marketing. For example, a fitness franchise might analyze member visit patterns to send reminders or promotions to those who haven't been in a while. Lucas: Right, that's another layer. But it also raises data privacy issues. With regulations like GDPR in Europe and CCPA in California, franchisees need to be careful about how they collect and use customer data. Especially if they're sharing it with the franchisor's marketing platform. Luna: So there's a compliance angle too. That might be another reason some franchisees are hesitant to dive deep into analytics. Lucas: It can be. But many franchisors now provide templates and guidelines to ensure compliance. It's not a reason to avoid analytics altogether. The benefits — better margins, less waste, happier customers — are too compelling. Luna: What about the cost of implementing these systems? Is it feasible for a single-unit franchisee? Lucas: It can be. There are lightweight tools like Owner.com or even simple spreadsheets that can get you started. The key is to start small — pick one metric, like food cost or labor percentage, and track it daily for a month. See what you learn. Then add another metric. You don't need a six-figure software suite to gain insight. Luna: And I imagine some franchisors are starting to offer basic analytics as part of their standard package, not just as a premium add-on. Lucas: That's happening. As the technology gets cheaper, it becomes less of a differentiator and more of a baseline expectation. For example, many hotel franchise systems now include revenue management software with the franchise fee. That used to be a separate cost. Luna: So ultimately, this is about franchisees becoming more sophisticated operators. It's not just about running a store; it's about running a data-informed business. Lucas: And that's the shift we're seeing across the franchise landscape. The ones who embrace it will have a real edge. The ones who don't may struggle to keep up. Luna: Well, if you're a franchisee listening and you haven't looked at your data this week, maybe start with one metric. You might be surprised. Lucas: That's a good takeaway. And if you have a story about using data in your franchise, we'd love to hear it. Reach out to us at Fexingo. Until next time.