Franchise-site location intelligence on open government data
FranchiseIQ
A 0 to 100 franchise-viability score for any neighborhood — with the reasoning shown for every point, and a reverse mode that ranks every format for a site. Live in two markets: Philippines (Metro Manila + Calabarzon) and Malaysia (Kuala Lumpur).
FranchiseIQ PH
provenance · Philippines production pipeline (0 pilot barangays, keyed on PSGC (10-digit))
- Population
- PSA POPCEN 2024 / CPH 2020 (OpenSTAT)
- Income
- PSA small-area poverty estimates
- Traffic
- DPWH AADT (data.gov.ph)
- Points of interest
- OpenStreetMap Overpass
- Join key
- PSGC (10-digit)
A franchise site is a seven-figure bet usually placed on instinct and a broker’s pitch. FranchiseIQ turns it into a defensible, data-backed score in seconds — and shows its work, so the number holds up in a boardroom.
Where it pays off
- Franchise brands & franchisorsRank every neighborhood before you sign leases. Expand into the sites the data backs, not the ones a broker is pushing — and cut the cost of a wrong location.
- SME & first-time operatorsOne honest go / no-go on the location you’re about to put your capital into, before you commit the lease.
- Investors & diligenceA repeatable, comparable score across a whole pipeline, so site risk becomes a number you can defend in an investment memo.
What each score weighs
- DemandHow many people the catchment actually holds.
- Spending powerWhether the area can afford the format — premium concepts held to a higher bar.
- Foot trafficRoad traffic and nearby anchors that pull customers past the door.
- Competition gapResidents left per existing outlet — the room still on the table.
Why the number holds up
Every score is built on open government data and one transparent formula, identical across markets — no black box. The app shows the weight and reasoning behind each pillar, so a CTO or an investment committee can audit exactly why a site scored what it did. The pilots run on clearly labelled sample data across the Philippines (Metro Manila and Calabarzon) and Malaysia (Kuala Lumpur); the same engine runs unchanged on full national datasets, so what you’re evaluating here is the real product, not a mockup.