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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.



Looking for clean, reliable visit data to plug into models and dashboards.
Owners of staffing, service levels, and store/branch performance.
Teams deciding where to open, close, or relocate sites.
Teams 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 Data helps businesses understand aggregated, privacy-safe movement and foot traffic patterns around stores, branches, hotels, depots, trade areas, corridors, and markets. It turns real-world visit behavior into ready-to-use signals for forecasting, site selection, operations, and marketing planning.
Businesses use Factori Mobility Data for footfall analytics, demand forecasting, trade area analysis, retail site selection, labor planning, inventory planning, campaign measurement, and market expansion. It helps teams understand how real-world movement affects performance across locations and markets.
Mobility Data helps forecasting teams measure how people move around each location before transactions happen. It can improve store-level sales forecasts, footfall forecasts, staffing plans, inventory forecasts, and short-term demand models.
Factori builds Mobility Data from privacy-safe, aggregated movement signals and location intelligence sources. The data is processed into non-personal features such as footfall trends, visit frequency, visitor origins, dwell patterns, trade-area behavior, and daypart movement.
Customers can access using any of these options:
(1) Download a 100-row sample CSV for FREE
(2) Connect the MCP server to your AI client and query in natural language
(3) Book a 30-minute discovery call, validate fit against a specific use case.
(4) Factori Platform
Mobility Data can be updated on a recurring cadence depending on market, source availability, and use case. Common refresh options include daily, weekly, monthly, or custom schedules for forecasting and planning workflows.
Internal sales data shows what happened after customers converted. Mobility Data shows real-world demand before conversion, helping teams understand traffic shifts, trade-area strength, cannibalization risk, and local demand changes earlier.
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