Area market research for franchises

A franchise that closes in its second year isn't just the loss of one franchisee: it's the "business for sale" sign that scares off the next 10 candidates who were already hesitating. That's why the networks that grow fast aren't the ones that open the most, they're the ones that get it right more often. And the only way to get it right more often is to stop picking areas on instinct and put a method behind it. That method is the same whether you expand across Madrid, Paris, Lisbon, Milan or Berlin: the data changes, the logic doesn't.

The real challenge of expanding a network (and where almost everyone fails)

When you have a franchise that works, the question isn't whether to grow, but where and in what order. Yet most small and medium networks expand with three recurring mistakes:

• They open wherever a unit happens to be available, not where it makes most sense. The area is chosen by property-market chance.
• They apply the "gut feel" of their best-performing units, but gut feel can't be replicated across teams and is lost the moment it's handed over to an expansion department.
• They compare areas from memory, not side by side with the same numbers. The bias of whichever candidate was discussed last wins out.

Repeating success without a method is playing the lottery with your franchisee's investment. And with their fear.

The 5 steps, in order

1. Define your ideal area from your best units

Start with your 3-5 units with the best revenue per m². Look at what they have in common: population, density, average income, age and % with higher education (official data), and competition per inhabitant. That pattern is your ideal area profile.

Picture, by way of illustration, a coffee-to-go franchise that discovers its 4 best units share a pattern: high density, income above the average for their city and plenty of office turnover nearby. An established central area fits all three traits; a low-density residential area on the outskirts doesn't. The specific figures for each area (density, income, % with higher education) come from each country's official sources, not from a guess: that's precisely the point of the method.

2. Score every candidate with the same yardstick

Apply the ideal-profile criteria to all the cities and neighbourhoods you're interested in, whether they're in your country or across the border. Each area is scored against the same yardstick: yours. You put them in a single table and stop comparing them "from memory".

This is what an expansion department can pass on to a successor; the founder's "gut feel" can't.

3. Build a ranking and a roadmap

You order the areas from best to worst score. And you decide the order in which you tackle them: the top 5 this year, the next 8 the year after, the discarded ones filed away with a written reason ("income 20% below target"). This turns expansion into a plan.

4. Avoid cannibalisation before you open

As you grow, two units that are too close steal customers from each other. With isochrones you see the real reach of each one and spot the overlap before signing the lease, not once you already have two franchisees fighting over the same block.

Rule of thumb: the acceptable overlap depends on the sector. For a café, <15% of the catchment area. For a destination service (clinic, high-end salon), up to 30%. For a neighbourhood supermarket, <5%.

5. Turn the study into a sales argument for the franchisee

A study built on official data and a clear map doesn't only help you: it sells. When you show a prospective franchisee what conditions their area brings together, with population, income and competition spelled out, the fear of investing drops. And the entry fee gets paid sooner.

An illustrative example: a coffee chain looking for its seventh unit

Let's take an illustrative case (round figures, purely to show the method; the real ones always come from each city's official sources). A small chain has 6 cafés open in a European capital. Its 3 best units are in dense areas with income above the local average. The expansion team compares 4 candidates for the seventh:

• Established central area: high density, income clearly above average, high share of higher education. Brings together very favourable conditions. Risk: high rents and there are already 2 of our own units in adjoining neighbourhoods (cannibalisation?).
• Mid-sized commercial neighbourhood: lower density, but income above average. Brings together favourable conditions and no overlap with the current network.
• Neighbourhood in transition: rising income and a good customer profile, but already saturated with cafés. You have to check the competition-per-inhabitant ratio before anything else.
• Residential outskirts: sufficient population, but income roughly at the city average. Mixed conditions: it falls below the ideal profile.

The ranking result in this example: 1st the mid-sized commercial neighbourhood (favourable conditions and no cannibalisation), 2nd the established central area (very favourable conditions, but the overlap has to be checked with the isochrone), 3rd the neighbourhood in transition (with a prior competition study), and the one on the outskirts is discarded. What matters isn't the numbers: it's that the decision is left defensible before the board, not a hunch.

The 4 metrics you always watch

• NovaScore per area: the score that sums up the conditions of the area (0-100). It's there to rank and to say no.
• Reachable target population: not the total population, the share that falls within your customer profile and your real isochrone.
• Direct competitors per 1,000 inhabitants: without this you spot saturation too late, once you've already signed.
• % overlap between your own units: the key indicator for not cannibalising yourself. If it goes over the sector threshold, you don't open even if the area looks promising.

Expansion mistakes that wreck networks

• Opening where a unit is available, not where it makes sense. The property criterion replaces the strategic one. You nail the lease and miss the area.
• Applying the ideal profile without revalidating it periodically. The profile of your best units can change in 3-4 years (gentrification, demographic shift). Review it every 18-24 months.
• Not formalising the criteria as the expansion team grows. The founder's gut feel isn't inherited. If you don't write it down with numbers, it's lost.
• Ignoring cannibalisation because "it'll sort itself out". The franchisee of the old unit loses money the day you open the new one, and the brand loses an ambassador. Prior isochrones aren't optional.

How much does it cost to set up this system?

• By hand (DIY): €0 but 40-60 initial hours to build the profile + 4-6 h per candidate area. Excel + each country's statistics institute + Google Maps. Only sustainable if you open 1-2 units a year.
• Expansion consultancy: €8,000-25,000 per project + €1,500-3,000 per area assessed. Useful for a first formal plan; far too expensive as a permanent engine.
• A tool like POINOVA: from the monthly price of a professional plan, with the ideal profile defined in hours and each new area assessed in minutes. It turns expansion into a process, not a one-off project.