Insights and cases for smarter decisions

Customer success stories, and straight answers on how privacy-first footfall analytics works in practice.

A bright desk scene with a laptop showing footfall charts and a printed report, insights for smarter decisions.

Where footfall analytics pays off

Real results speak loudest. See how organisations use privacy-first visitor analytics to cut costs, raise revenue and plan smarter, and find answers to the questions we hear most often. If you’re starting from scratch, begin with our guides on how to count visitors and choosing between a people counter and analytics.

For retail

The retail metrics glossary defines every footfall KPI with its formula; measuring store traffic without cameras is the GDPR-safe route to all of them. Go deeper with heatmaps, in-store conversion and staff planning.

For museums and the public sector

Visitor figures for funders covers reporting that survives scrutiny; public procurement of people counting and the DPIA guide answer the compliance side.

For traffic and vehicles

Start with the method comparison (tube, radar, camera, LiDAR), then AADT and the terms explained, the municipal procurement guide and GDPR in public space.

Insights from real visitor flows

Shorter reads on what footfall data actually shows: counting visitors without cameras, how footfall relates to sales, where your visitors come from, what a footfall benchmark is worth, the retail year in visitor numbers and whether shoppers turn left or right. Browse all insights for more.

Want something specific?

Looking for a brochure, a tailored case or a walkthrough? Just ask.

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