Franchise analytics has become one of the most powerful tools for brands looking to scale intelligently, improve unit-level performance and support franchisees with better decision-making. But for many franchisors, the challenge isn’t whether to use data. It’s understanding which data matters, how to interpret it and how to turn insights into action.

For Matt Ross, founder and CEO of One River School, leveraging analytics starts with a simple principle: focus on the fundamentals first, then build toward more advanced insights.

Start With the Right Market and Location Data

Before diving into marketing dashboards or operational KPIs, Ross emphasized that franchise analytics should begin with territory and site selection. 

“It depends upon the type of business,” Ross said. “From a retail standpoint, like One River School, we need to make sure, first and foremost, that they’re in the right territories, broadly speaking.”

That means analyzing whether the target customer base actually exists and is accessible within a given market. For One River School, that translates to affluent suburban areas with a clear demand for creative education.

From there, the focus shifts to hyper-local data. “You could be in a great territory, but in a building on a side street that no one is going to see,” Ross said. “So, first and foremost, I think about foot traffic, the number of cars per day that go past that building and the household income within 30 minutes.”

Don’t Overlook Investment and Working Capital Metrics

While customer data often gets the spotlight, Ross pointed out that financial analytics are just as critical. “Another analytic is the cost to open,” he said. “People are writing checks from their pocket or taking loans, and the ROI of this business investment has to make sense.”

Beyond buildout costs, working capital is a common blind spot.

“Quite often, people don’t think enough about working capital,” Ross said. “They think about the cost to build it, but what if I don’t scale that quickly and I need to make sure I keep the lights on?”

Break Analytics Into Three Core Buckets

Once a unit is open, Ross recommends organizing franchise analytics into three primary categories: acquisition, retention and operations.

Customer acquisition metrics focus on how effectively a brand converts marketing spend into new customers. “In our model, we have probably one of the best returns on advertising I’ve seen,” Ross said. “Literally multiples in the tenfold in terms of what revenue we get per customer based upon the initial investment in advertising.”

Retention and loyalty metrics track how long customers stay and how much lifetime value they generate. They also help franchisors understand which operational, behavioral and experiential factors drive long-term customer revenue.

Operational analytics help identify what’s driving or hurting performance at the unit level.

“In our world, we teach art, digital media and design education,” Ross said. “To what degree is teacher A keeping students versus teacher B? What is the attendance? What are the specific class types on the menu?”

Use Customer and Employee Data to Drive Profitability

Beyond transactional metrics, Ross highlighted the importance of measuring sentiment, both from customers and employees. “I’m sure you’re familiar with Net Promoter Score,” he said. “I think that is the highest standard in terms of customer enjoyment, fulfillment and satisfaction.”

Tracking how likely customers are to recommend a business provides a clear signal of long-term health and growth potential.

Equally important is employee engagement.

“The more engaged they are, the greater job satisfaction they probably have, and the more likely they are to stay,” Ross said. “One of the biggest challenges in small businesses is turning over employees.”

Identify Problems Early With Real-Time Metrics

One of the most valuable uses of franchise analytics is identifying underperformance before it becomes a larger issue.

At One River School, that starts with retention trends. “If we’re able to identify that a certain school is not retaining students as well as others, then we start to get into how quickly we’re returning phone calls,” Ross said. “We measure what percentage of phone calls get answered within five seconds. We measure, when we miss a call, how long it takes to return the phone call.”

Speed matters because customer intent is often fleeting. “A lot of consumers reach out in the moment,” Ross said. “If you don’t respond to them for seven hours, they may not be able to respond to you for four more days. We do outreach in advance of them calling and telling us they love it or don’t. We have pulses where we check in after the first 30 days and after the 90-day period.”

These touchpoints help brands adjust the customer experience before churn occurs.

And while analytics are essential, Ross cautioned against relying on data alone.

“Being too reliant on data and not enough on gut, or not reliant enough on data — there’s an optimal piece there,” he said. “The data in and of itself only goes so far. It really comes down to what questions you’re asking that allow you to iterate on your strategy based upon the data.”

Practical Takeaways for Franchisors

If you’re asking, “How do I leverage franchise analytics?” consider these key steps:

  • Start with territory, site selection and demographic data before moving into advanced metrics.
  • Track financial analytics, including buildout costs and working capital requirements.
  • Organize data into acquisition, retention and operational performance categories.
  • Measure customer satisfaction (NPS) and employee engagement alongside revenue metrics.
  • Use response times and feedback loops to identify struggling units early.
  • Balance data insights with strategic thinking and thoughtful questions.

For more information on franchise analytics, check out these related articles on 1851 Franchise:

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Luca Piacentini

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Luca Piacentini

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1851 Managing Editor