Mobility & telco-derived footfall data and privacy

Footfall and visitation data derived from mobile devices and telecom networks can reveal how places are used, but it sits right on the privacy line. This guide explains how it works, where it helps, and the rules that make it lawful.

What footfall data is

Footfall and visitation data estimates how many people visit a place, when, and sometimes where they came from, derived from device signals or telecom networks. It powers retail site selection, catchment analysis, tourism and transport planning.

How it is generated

Sources include app-derived location panels, telecom network signals and Wi-Fi or sensor counts. Each varies in coverage, accuracy and how it is aggregated. Network-derived data has wide reach; panel data depends on app penetration.

The privacy line

This data originates from individuals movements, so the GDPR and ePrivacy rules apply. It can only be used lawfully when robustly aggregated and anonymised so that individuals cannot be re-identified. Aggregation thresholds and methodology are not details; they are what makes the data usable at all.

Common use cases

Retail catchment and site selection, competitor and high-street analysis, tourism and event planning, and transport demand, all at area level rather than individual level.

Sourcing considerations

Assess representativeness, aggregation method and how small-cell suppression is handled. Comparability across providers is limited, and licensing for redistribution can be restrictive.

Governance

Confirm the data is properly aggregated and anonymised, document the methodology, and ensure the use respects ePrivacy and GDPR. A managed partner can verify aggregation and provenance and keep suppliers confidential.

Sources & further reading

• European Data Protection Board: guidance on location data and ePrivacy.
• EUR-Lex: Regulation (EU) 2016/679 (GDPR).
• Eurostat: experimental statistics on mobile network data.
• Industry codes for aggregated location data.