You can see competitors. You cannot easily see demand.
FitCrawler tracks reserved, open and total slots so occupancy can be measured from observed class availability instead of survey estimates.
Observed market intelligence for boutique fitness
Open studios where demand is already visible.
FitCrawler helps Pilates expansion teams pressure-test markets, competitors and candidate addresses with real class schedules, reserved seats and open slots — not survey estimates. AI interprets the signal; the signal itself starts with observed data.
3.0M+
class records captured
2,348
tracked studio locations
14
tracked fitness brands
1,081
cities in the database
The operator problem
Expansion decisions are too expensive to make from anecdotes.
Most market research tells you where people live and what they earn. It won't tell you whether nearby classes are actually filling, which brands own the neighborhood, or whether a candidate site has the white space to support another studio. That's the gap FitCrawler closes.
Every city has a different competitive pattern.
Brand, location, city, state and date filters help teams separate hot pockets from oversupplied neighborhoods.
Revenue plans often drift away from market reality.
The Site Selection workflow estimates occupancy from nearby comps, then computes revenue from your own value-per-visit, schedule and reformer assumptions.
How it works
From class availability to boardroom-ready decisions.
FitCrawler is built around an auditable data pipeline: capture the market, normalize it, ask better questions, then turn the answer into an action your team can defend.
Collect market activity
Capture studio locations, class names, dates, times, teachers, duration, open slots, reserved slots and total capacity across tracked brands.
Normalize by place
Connect every class to a brand, location, city, state and country so the same dataset can power maps, filters and regional comparisons.
Analyze with AI
FitCrawler's agent interprets the observed occupancy data alongside the candidate address and the operating assumptions you provide.
Act on the report
Review scores, demand rationale, competitor threats, scenarios, assumptions and saved analyses before committing capital.
What operators get
Specific signals for the decisions that move growth.
The current product focuses on market visibility, class-level auditability, map exploration, AI-assisted site selection and saved analysis history.
Occupancy
Measure demand from reserved seats, not vibes.
Track reserved, available and total slots by class, location, city and brand to see where studios are filling and where capacity is sitting open.
Market map
Compare cities, neighborhoods and competitors visually.
Use location pins and city-level shapes to filter activity by brand, state, city and date range. Zoom into the market before you underwrite it.
Class detail
Audit the records behind the summary.
Browse the underlying records by date, class, time, duration, teacher, location, brand and state so teams can inspect the data before trusting the answer.
Site selection
Turn a candidate address into a go/no-go brief.
Score a U.S. address for boutique reformer Pilates using 11 weighted criteria, nearby competitors, occupancy scenarios and deterministic revenue math.
Fit Agent
Ask better questions of the data.
The chat interface keeps analysis close to the dataset, with saved conversations and message history for repeat market research workflows.
Saved analyses
Keep a record of the locations you evaluate.
Completed Site Selection reports are persisted with the address, title, status, report payload and usage metadata so teams can revisit prior work.
Use cases
Decisions FitCrawler can inform today.
The current product is strongest when an operator needs to understand competition, occupancy and expansion risk before committing to a site or market.
Prioritize the next market
Compare tracked cities and states by location count, class volume and occupancy to decide where the expansion team should spend diligence time first.
Pressure-test a candidate address
Run a Site Selection report to see nearby competitors, demand confidence, weighted scores, occupancy scenarios and a revenue range based on your plan.
Benchmark a local competitive set
Filter by brand and region to see how specific operators are performing on class volume, reserved seats, open seats and capacity.
Defend the investment memo
Bring an evidence trail into the conversation: observed classes, occupancy math, assumptions used, data sources and saved analysis history.
Pilot FitCrawler
Start with one expansion question your team needs answered.
Bring one target market, a shortlist of addresses, or a competitor you need to size up. We'll turn the observed data into a focused pilot report you can put in front of your team — before you commit to a broader market-intelligence rollout.