How accurate is Locatalyze?

Our scoring model is validated against reported outcomes. GO verdicts (70+) have a 94% alignment rate with self-reported business success at 6-month follow-up.

How does the GO/CAUTION/NO verdict work?

Scores above 70 = GO (strong opportunity). 45–69 = CAUTION (proceed carefully). Below 45 = NO (avoid this location). Scoring weights: Rent Affordability 20%, Competition 25%, Market Demand 20%, Profitability 25%, Location Quality 10%.

What data sources does Locatalyze use?

Locatalyze uses Australian demographic data, commercial rent benchmarks, foot traffic signals, and live competitor mapping to analyse any address across Australia.

How long does a report take?

Most reports are ready in about 90 seconds. Enter your business type and address — the AI analyses the location and returns a full feasibility report instantly.

Gyms & Fitness

Real-world location intelligence use cases

See how fitness operators validate demand depth, saturation, and lease pressure before committing to floorplate-heavy sites.

Explore use cases

Cafes & Coffee Restaurants Retail Stores Gyms & Fitness Takeaway All business types

Use case

Gym demand analysis

Problem: Fitness concepts often overestimate local member depth and underestimate saturation from nearby chain operators.

How Locatalyze solves it: Locatalyze maps suburb demand, local supply mix, and affordability pressure to identify whether your format has space to win.

Estimate membership depth before fit-out spend
Surface saturation risk across competing formats
Validate fixed rent against conservative member assumptions

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Suburb profileCatchment lens

Nearby formatsSupply scan

Demand vs rentRisk mode

Use case

Fitness site fit by catchment quality

Problem: Sites with strong visibility can still fail if nearby households do not match the target member profile.

How Locatalyze solves it: Evaluate catchment composition and local behavior patterns so site choice is based on member potential, not storefront optics.

Align concept pricing with local affordability
Prioritize suburbs with stronger repeat-member potential
Reduce launch risk through data-backed shortlisting

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Member potentialFit score

Catchment-firstLens

Shortlist readyOutcome

Use case

Rent affordability for fitness operators

Problem: Large floorplate rent can become unsustainable when member growth lags during early months.

How Locatalyze solves it: Convert lease and operating assumptions into clear member targets to expose downside before committing to tenancy.

See required active members for break-even
Detect fragile economics under slower ramp-up
Use quantified downside in lease discussions

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Members neededPrimary output

Ramp-up scenariosDownside test

Pre-leaseBest stage