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    Case Study4 min read

    How Shareloc Identified a Boutique Fitness Gap in Zaandam — and Watched It Fill

    By Bar Levy-Laan

    Shareloc was engaged to score more than 100 locations across the Zaandam area for retail and leisure category potential. One signal stood out early — and a year later, the market proved it right.

    The pattern emerged around Stadshart Zaandam. Pedestrian-flow data and demographic clustering pointed to unmet demand for boutique fitness — specifically reformer pilates and small-group functional training. The numbers described a gap: heavy, repeat foot traffic from health-conscious, higher-income residents, and no premium fitness operator within 1.5 km.

    Zaandam is not a thin market. The catchment holds roughly 79,500 residents, an average household income near €57,000, and a 48% higher-education share — with daytime population rising to about 92,000. In our category model, Fitness & Pilates returned a demand index of 88 against a competition index of just 40: one of the widest demand-to-supply spreads in the city.

    How the gap surfaced

    The analysis started with mobility data — not simply how many people are nearby, but how often they move through specific streets and at what rhythm. Visit-frequency clustering separated transient flow from the repeat, routine-driven footfall that membership-based fitness business categories depend on.

    From there, catchment-area analysis mapped who actually lives and commutes within cycling distance, and competitor mapping placed every existing fitness and wellness operator on that map alongside its estimated performance.

    The supply side was the tell. The fitness operators already trading in the catchment weren't stagnating — they were growing 15–18% year over year. Rising revenue against a thin operator count is the signature of demand outpacing supply, not of a saturated market.

    Normalised per age group and benchmarked against the other cities in our dataset, Zaandam's 25–45 cohort over-indexed for exactly the profile boutique fitness draws. Weighed against supply, the category model returned a clear verdict: room for one to two new studios.

    A year later, the market agreed

    Here is the part we can't take credit for — and that is precisely the point. Shareloc had no commercial relationship with any of the operators below. We did not introduce them, advise them, or work with them in any way. They each made their own independent decision to open in the exact radius our analysis had flagged. That independence is what makes them evidence rather than anecdote.

    Within the analysed area, the following operators launched or added the precise business categories the data pointed to:

    Why this matters

    A gap is only a gap until someone fills it. Three operators independently filling the one we identified, within a year, is about the cleanest confirmation a model can get — and none of it depended on Shareloc being in the room.

    This is what location intelligence should do: not just describe where things are, but predict where demand will materialise — early enough to act on it.

    Bar Levy-Laan

    Co-Founder, Shareloc

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