DataGlue
Wi-Fi presence analytics integration

Wi-Fi presence analytics, joined to everything else.

DataGlue marries Wi-Fi presence analytics data with your other systems in one living model. Every number shows its formula and its records.

Wi-Fi presence analytics: Wi-Fi systems that record zone presence, session duration or consented guest sign-ins.

  • IN
  • NO NATIVE CONNECTOR · YOUR WAREHOUSE OR DATABASE

Bring Wi-Fi presence analytics and one decision to the call. Tool names are enough; no access needed.

Trusted by

  • Ticketek
  • me&u
  • InvestorKit
  • Team Global Express
FIG. 01 · HOW WI-FI PRESENCE ANALYTICS CONNECTS
Wi-Fi presence analytics
THE GLUEONE MODEL
OUTCOMES, ANY DESTINATION
  • Your warehouse or databaseIN
  • REST APIIN
  • File exportIN
HOW IT CONNECTS

What comes in from Wi-Fi presence analytics. Recorded zone totals, session durations and permitted guest ids come in. Device presence alone does not identify a person.

  • IN

    Your warehouse or database

    Recorded events from Wi-Fi presence analytics 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.

  • IN

    REST API

    A sync you run reads the recorded events available from Wi-Fi presence analytics and sends them to our REST API. The fields, identifiers and schedule are agreed in the build. No footage or face images are imported.

  • IN

    File export

    Recorded count, presence or plate exports from Wi-Fi presence analytics 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 Wi-Fi presence analytics 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. Wi-Fi presence analytics is a trademark of its owner; this page implies no partnership or endorsement.

WHAT DATAGLUE DOES WITH IT

Describe the outcome. DataGlue works it out and shows you the formula.

  1. 01

    Describe the outcome you want in plain words, such as "Repeat guest Wi-Fi visit".

  2. 02

    DataGlue works it out from the definitions of your data sources, Wi-Fi presence analytics included, and shows the formula in concise English.

  3. 03

    Send it on: to reports, BI tools, any destination, or the AI tools your team already uses.

  • EXAMPLE OUTCOME 01

    Repeat guest Wi-Fi visit

    THE FORMULA

    Distinct sessions linked only through a permitted guest sign-in id already recorded by your system. Device ids alone do not establish a repeat person.

  • EXAMPLE OUTCOME 02

    Average Wi-Fi session duration

    THE FORMULA

    Average recorded start-to-end session duration by venue, kept distinct from time spent in store.

  • EXAMPLE OUTCOME 03

    Online visit after guest sign-in

    THE FORMULA

    A recorded guest sign-in followed by a website visit, only where an authorised shared identifier supports the link.

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 Wi-Fi presence analytics data? We map the route and the first outcome on the call.

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START WITH ONE DECISION

Bring Wi-Fi presence analytics 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.