People and footfall counters, joined to everything else.
DataGlue marries People and footfall counters data with your other systems in one living model. Every number shows its formula and its records.
People and footfall counters: Door and zone counters that record visitor totals in stores, malls and venues.
- IN
- NO NATIVE CONNECTOR · YOUR WAREHOUSE OR DATABASE
Bring People and footfall counters and one decision to the call. Tool names are enough; no access needed.
Trusted by
- Your warehouse or databaseIN
- REST APIIN
- File exportIN
What comes in from People and footfall counters. Entry, exit and occupancy totals come in by location and time. Counts describe a place, not an identified person.
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Your warehouse or database
Recorded events from People and footfall counters join through tables you already sync to your warehouse. Postgres connects today; other databases need a sync you run or our REST API. No footage or face images are imported.
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REST API
A sync you run reads the recorded events available from People and footfall counters and sends them to our REST API. The fields, identifiers and schedule are agreed in the build. No footage or face images are imported.
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File export
Recorded count, presence or plate exports from People and footfall counters are imported as files, with their source ids and timestamps. The available fields are checked in the build. No footage or face images are imported.
There is no native People and footfall counters connector today; the routes above are how it joins. Connections are agreed in the build. We check the source data, consent and identifiers before promising a linked journey. People and footfall counters is a trademark of its owner; this page implies no partnership or endorsement.
Describe the outcome. DataGlue works it out and shows you the formula.
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Describe the outcome you want in plain words, such as "Peak mall footfall".
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DataGlue works it out from the definitions of your data sources, People and footfall counters included, and shows the formula in concise English.
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Send it on: to reports, BI tools, any destination, or the AI tools your team already uses.
- EXAMPLE OUTCOME 01
Peak mall footfall
THE FORMULAEntry counts grouped by mall, entrance and time period.
- EXAMPLE OUTCOME 02
Store occupancy above limit
THE FORMULARecorded entries minus exits exceed the occupancy limit you set for that store.
Tags about people come only from signals your systems already record, under your privacy policy and local law. Sensitive tags, such as gender or income estimates, are marked as estimates and can be switched off. Records link only where recorded identifiers support the match. People are never identified from faces.
Want one of these from your People and footfall counters data? We map the route and the first outcome on the call.
Book a CallBring People and footfall counters and one decision. We'll map the route and the first outcome on the call.
The call scopes fit. The build is a separate engagement, priced before work begins.