Trusted by
Trusted by
How many people visit an area, how often, and on which days and times.
Where visits are rising, falling, or shifting across your network.
Which neighborhoods & corridors your visitors are really coming from.
Weekday vs weekend, lunch vs evening, event days vs “normal” days.
Capture people who visit the area but don’t transact yet.
Match staffing, inventory, and hours to actual traffic patterns.
Spot areas with strong organic footfall and understand cannibalization risk.
When performance moves, quickly answer: “Did the traffic change, or just conversion?”
Use visit patterns to improve short‑term demand and labor forecasts.
Compare potential locations by real footfall, not just gut feel or single‑source data.
Adjust stock and assortment based on who passes by and when they come.
Focus campaigns on high‑traffic zones and measure movement before and after campaigns.
Build staffing plans that align with peak hours, days, and seasons.
Understand catchments and corridors to plan depot locations and delivery zones.
Data & analytics teamsLooking for clean, reliable visit data to plug into models and dashboards.
Operations & planningOwners of staffing, service levels, and store/branch performance.
Real estate & network strategyTeams deciding where to open, close, or relocate sites.
Marketing & growthTeams that want to put spend where people actually are.
We map Mobility data to your stores, branches, depots, or trade areas.
Explore a few key markets to see how traffic patterns show up for you.
Add locations, use cases, and teams as you see results.
Factori Mobility helps businesses understand aggregated real-world visit patterns around locations, trade areas, corridors, and markets.
It can show footfall around locations, visit frequency, time-of-day patterns, changes over time, and where visitors are coming from.
Yes. Position clearly: aggregated, privacy-safe, never device-level, and not personally identifiable.
It adds real-world demand signals beyond transactions, helping models capture people who visit or pass near locations before they convert.
Yes. It helps teams determine whether performance changed because traffic shifted or because conversion changed.
It helps compare candidate locations by real footfall, visitor origins, trade areas, and cannibalization risk.
Data science, analytics, operations, planning, real estate, network strategy, marketing, and growth teams.
Share locations, review a sample across key markets, then expand to more sites and use cases.
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