From Metrics to Meaning: Franchisors Help Franchisees Turn Data Into Better Decisions

Franchise veteran Sam Ballas is obsessed with franchisee profitability. The founder and CEO of East Coast Wings + Grill even has “EBITDA” stamped on his license plate. It might earn a laugh at a stoplight, but for Ballas, it’s not a punchline. It’s a reminder of what he sees as the franchisor’s core responsibility.

In an industry increasingly driven by data, Ballas believes the numbers should always point to the same outcome.

“The two most important things in franchising are your franchise owners and franchise owner profitability,” Ballas says.

Operators today are surrounded by information. POS systems capture every transaction, loyalty platforms track customer behavior, digital dashboards measure marketing engagement, and labor systems forecast staffing needs down to the hour.

The problem is no longer a lack of data; it’s turning it into something franchisees can actually use.

“I think franchisors own the responsibility of being obsessed with unit-level economics and what the stores do,” Ballas says.

Across the industry, successful brands are learning that analytics deliver the most value when raw numbers are translated into clear operational guidance. The bigger question many franchisors now face is whether they are giving franchisees the clarity and tools they need to compete in their local markets.

Infrastructure

Long before data analytics became a boardroom buzzword, Ballas was building internal infrastructure around it.

Drawing on his finance background, Ballas established a dedicated unit-level economics department at East Coast Wings + Grill focused entirely on individual-store performance. The department monitors the financial and operational health of every restaurant in the full-service, fast casual franchise, tracking key performance indicators (KPIs), comparing locations against internal benchmarks, and flagging potential issues early.

Step inside the office of Tori Hoots, the brand’s senior data analyst, and the scene looks less like restaurant operations and more like a trading floor. Dual monitors display metrics across the chain’s 50-plus locations.

“You’d think she was trading bonds on Wall Street,” Ballas says.

Instead, Hoots spends her days digging through restaurant data, reviewing KPIs across different locations and time periods, and continuously updating the data.

“You can ask her anything,” Ballas says, “and in about 20 minutes, she’ll punch it back out to you.”

Each restaurant gets a color: green, yellow, or red. But those signals are only the starting point. The analytics team watches for trends. If a store remains yellow or slips into red, the numbers are compared against similar units elsewhere in the system. That’s when discrepancies emerge.

“If I’ve got a store doing $120,000 in revenue and another doing $121,000 but one shows a $6,000 profit and the other $17,000, we’ve got a problem in Denmark,” Ballas says.

When something’s off, whether labor, purchasing, waste, or execution, the data helps pinpoint where to look first. From there, field leaders decide whether the issue warrants a call, a supply chain check, or a visit to work alongside the franchise owner.

“They are on the front line, shooting all the time,” Ballas says. “Sometimes, they need a lens on something they may not be thinking about.”

The key to getting franchisees on board, Ballas adds, is presenting compelling data in a way that feels reliable and actionable so “franchise owners and their management team will trust; thus embrace.”

“This has to be a consistent policy for trust to develop,” Ballas says.

As labor pressures, rising costs, and shifting consumer habits continue to challenge operators, the ability to interpret store-level performance data is becoming increasingly important.

“There’s a lot of data out there,” says Bobby Banzhof, director of franchise operations at Chicken Salad Chick. “How do you use it to make smart decisions for your business?”

That tension between the growing volume of data and the ability to transform it into clear decisions is shaping how franchise systems approach unit analytics.

Beyond the P&L

As franchise networks grow, the challenge evolves. It’s no longer simply about how a single location performs; it’s about understanding how each store compares across the network.

With more than 330 locations across 30 states, Christian Brothers Automotive evaluates unit-level economics through a combination of system-wide benchmarks and store-level diagnostics.

“We look at system-wide averages to understand overall brand health, and we look at performance to identify specific strengths and opportunities,” says Michael Allnutt, chief operating officer of the auto services and repair brand.

The company tracks core metrics, including revenue, expenses, gross profit, net operating income (NOI), car count, average repair order, labor rate, and technician hours sold.

“These metrics are all interconnected and ultimately drive NOI,” Allnutt says. “While they are high-level indicators, they also allow us to drill down into more detailed data to uncover root causes and areas for refinement.”

Some of the most valuable takeaways come from areas that traditional financial snapshots rarely capture.

“One of the most common data gaps we see relates to customer relationships,” Allnutt says. “Guest interactions are complex, and key drivers like retention, days until serviced, and communication transparency are not always visible in standard reporting.”

To address that blind spot, CBA has strengthened reporting around its digital vehicle inspection (DVI) process, which allows technicians to document vehicle conditions and communicate repair recommendations directly to customers.

That same commitment to transparency extends to franchisees. The company has invested heavily in making financial information visible across the network, sharing metrics like revenue, cost of goods sold, labor efficiency, marketing spend, and operating expenses.

“As we made labor rate management and parts margin performance more transparent, we saw measurable improvements in both top-line revenue and bottom-line profitability,” Allnut explains.

Internal reports shared on a consistent cadence give operators a clear view of where their stores rank within the system. Peer groups, internal scoreboards, and system-wide benchmarks provide context not as “shame and blame,” but as a framework for improvement and opportunity.

“The focus is not just collecting data, but making it actionable,” Allnut says. Transparency drives accountability, accountability drives improvement, and consistent improvement at the unit level strengthens the entire brand.

Data Driving

In practice, the real value of data often appears in day-to-day operations.

Chicken Salad Chick has steadily expanded its unit-level monitoring in recent years. The fast casual brand now uses Tableau, a data visualization and business intelligence platform, to consolidate information from multiple systems and generate more detailed reports.

The system tracks a wide range of operational indicators, including third-party delivery activity, catering traffic, guest counts, and average check, to help make educated decisions.

A recent example involved the guest ordering experience. Leadership discovered that the existing menu layout was creating friction at the counter.

“We realized that the old menu was not performing at the level we wanted when it came to the guest ordering experience and the complexity of ordering,” explains Banzhof.

Backed by guest focus groups and multiple design iterations, Chicken Salad Chick rebuilt its menu to clarify ordering and speed up service. Franchisees also played an active role in testing the new layouts, wording, and ease of ordering before a system-wide rollout.

In one test, the company tracked how quickly the first 100 guests moved through the line during its signature “Free Chicken Salad for a Year” grand opening promotion. In a new market location, where long waits can shape early impressions, speed matters.

“We saw the speed of getting those first 100 guests through the line increase,” Banzhof says.

The data also revealed a shift in purchasing behavior. The share of guests adding a second side or upgrading meals increased from roughly 20% of orders to about 33%, a more than 50% lift that boosted check averages while making ordering easier for guests and team members.

Real-time Visibility

While restaurant brands often use analytics to refine menu strategy and guest flow, service franchises are applying the same discipline to manage capacity, staffing, and demand.

At Hand & Stone Massage and Facial Spa, a centralized data warehouse and real-time reporting platform have evolved into a powerful growth engine for the network of more than 650 locations.

The initiative originally began as an effort to solve common challenges in franchising. Franchisees had limited visibility into KPIs, making it difficult to benchmark, manage staffing efficiently, or understand how marketing and service demand were translating into booked appointments.

“Today, spa owners and managers are actively using Power BI dashboards to monitor therapist utilization, appointment-hour pacing, lead conversion, retail attachment rates, and membership trends in near real time,” says Siddharth Desai, Hand & Stone’s chief digital and technology officer.

For service businesses like Hand & Stone, managing capacity is a fine balance between staffing and demand. With visibility into both, franchisees of the wellness chain can now make operational tweaks during the week rather than wait for monthly financial reports.

Since the initial launch, the system has expanded its capabilities to include real-time irregular transaction monitoring to spot potential fraud as well as on-demand liability reporting tied to prepaid services, gift cards, and memberships.

One of the platform’s most distinctive features is the brand’s service provider utilization tool, helping franchisees align staffing decisions with actual demand patterns.

“To our knowledge, it’s the only tool of its kind in the industry that allows owners to drill down to a specific service provider and the exact hour he or she worked and understand whether that time was booked, idle, or misaligned to guest demand,” Desai says.

Analysis to Action

Even with sophisticated dashboards in place, the harder task is making sure franchisees apply information to their businesses.

“We’ve learned that simply giving franchisees access to dashboards doesn’t drive adoption,” Desai says. “Embedding data into the day-to-day operating rhythm of the spa does.”

Training now focuses less on pulling reports and more on what the numbers mean for business. Coaching conversations, peer-group discussions, and field visits are now anchored in spa-specific metrics.

“The biggest behavioral shift came when franchisees stopped looking at analytics as a reporting exercise and started using it as a decision-making tool to proactively manage staffing, scheduling, and demand generation within their four walls,” Desai says.

For Hand & Stone, that shift has also changed the conversations between franchisor and franchisee.

“We’re using unit-level performance data to fundamentally shift the franchisor–franchisee relationship from one based on anecdote to one grounded in shared facts,” Desai says.

Chicken Salad Chick takes a hands-on approach. Franchise business consultants support approximately 30 restaurants each.

“That way they can be with them more frequently,” Banzhof says. “We want to be there to partner with them, to help them make an impact in their restaurants.”

Data becomes a coaching strategy rather than a compliance tool.

“Having all this data at their hands does help them make great business decisions,” Banzhof says. “And teaching them what the data means and how to use it to impact their business is extremely important. And it’s not a one-size-fits-all. Each restaurant in each group is different, so really, it’s knowing your owners and having that relationship with them to understand what they need and what’s going to make the biggest impact in the restaurant.”

Those findings are also guiding how brands support franchisee expansion.

Chicken Salad Chick uses Buxton location intelligence to evaluate trade areas and guide site selection. With more than 327 restaurants generating reliable comparables, the brand can benchmark potential locations against real operating patterns to scale smartly.

Hand & Stone applies similar analytics to development, using historical demand patterns and appointment pacing data to help new spas open with optimized staffing models and targeted marketing strategies.

For franchisors working with lenders and multi-unit investors, strong unit-level economics can be a powerful credibility signal.

“Leveraging unit-level economics through tools like ProfitKeeper allows us to tie operational drivers directly to spa-level EBITDA,” Desai says.

Chicken Salad Chick similarly leans on unit economics to share its brand story, highlighting average unit volume growth alongside favorable build-out costs and efficient footprints.

Christian Brothers Automotive also provides annual performance packets to lending partners, emphasizing long-term stability and consistent unit results.

The Right Metrics

The number of measurable signals inside a franchise business has expanded dramatically over the past decade.

“Back in the day, it used to be you would measure check averages, seat count, and sales per seat count per square footage, basic unit-level type of data that would give you some kind of idea of how the consumer was embracing the brand,” Ballas says. “And that all has gotten a lot more KPI technical.”

Today, Ballas’ team goes far beyond basic reporting, applying deeper analysis to better understand how each restaurant is performing. The brand tracks traffic patterns through geofencing, differentiates between new and existing guests, integrates loyalty data with guest surveys, and compares case counts with purchased inventory in specific family groups: burgers, wings, and fries.

“Most of the data processing that we have focused on has not just been the traditional capturing of economic movement,” Ballas says, “but capturing data that tells us what the guest feels and thinks about a location.”

The goal, he says, isn’t to measure everything.

“You want the right 10 or 12, 15 or 16 KPIs that will move the needle,” Ballas says.

As reporting tools become more sophisticated, franchisors are also recalibrating expectations around technology. Artificial intelligence, automation, and centralized data warehouses are expanding the capabilities of what brands can measure. But franchise leaders caution that technology alone won’t drive growth.

AI “will not assist any brand as a magic wand,” Ballas says. Technology has to fit within the brand’s ecosystem, and someone has to own it, he says. “Does this platform make the system better, more efficient, more profitable?” Ballas says.

At East Coast Wings + Grill, every piece of the technology stack must justify itself. “We are very selfish to use platforms or integrations when we can measure a rate of return on investment,” Ballas says. “If we can’t measure it, we don’t do it.”

CBA’s Allnutt says AI can assist with data cleansing, integration, and forecasting, but “complex KPI interpretation still requires significant training and human oversight.”

The Houston-based brand’s priority over the next five years is to standardize, automate, and enable real-time reporting, reducing manual spreadsheets and increasing operator access.

Hand & Stone plans to leverage additional data sources, including waitlist data and recruiting metrics, and apply AI to deliver real-time spa-level recommendations.

Chicken Salad Chick is currently rolling out ProfitKeeper to provide franchisees with an enhanced window into their financial and operational health.

Ballas acknowledges that even with strong analytics, brands won’t catch everything. But the practice itself is the advantage.

“If you navigate it hard, laser-like focus that way, and you miss a couple of things, the ones you do land on and win usually make a difference,” adds Ballas.

Competitive Advantage

Franchise leaders say the future of performance analysis is shifting away from chasing new technology and toward delivering clear insights that help operators run stronger businesses while strengthening the entire system.

For Ballas, that rigor comes back to that same principle that has guided his approach from the beginning.

“It’s all about EBITDA and NOI,” Ballas says. “The franchise model is a financial model designed for delivering services to the public. Yes, there are many nonfinancial elements, but at the end of the day, it’s financials. Without strong data or—better yet—a culture for driving data, you can’t develop a consistent financial model.”