DataGlue
RetailNext integration

RetailNext, joined to everything else.

DataGlue marries RetailNext data with your other systems in one living model. Every number shows its formula and its records.

RetailNext: A retail analytics platform for store traffic, conversion and shopper behaviour.

  • IN
  • NO NATIVE CONNECTOR · REST API

Bring RetailNext 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 RETAILNEXT CONNECTS
RetailNext
THE GLUEONE MODEL
OUTCOMES, ANY DESTINATION
  • REST APIIN
  • File exportIN
HOW IT CONNECTS

What comes in from RetailNext. Store traffic and conversion by hour come in.

  • IN

    REST API

    A sync you run reads the recorded events available from RetailNext 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 RetailNext 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 RetailNext 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. RetailNext 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 "Online research, store purchase".

  2. 02

    DataGlue works it out from the definitions of your data sources, RetailNext 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

    Online research, store purchase

    THE FORMULA

    Store traffic in each region against web visits to that region's store pages.

  • EXAMPLE OUTCOME 02

    Promotion footfall

    THE FORMULA

    Store traffic during each promotion, against the four weeks before.

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 RetailNext data? We map the route and the first outcome on the call.

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START WITH ONE DECISION

Bring RetailNext 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.