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Foot Traffic Data as an Investment Signal: A Guide for Institutional Investors

How hedge funds and asset managers use foot traffic data to generate early signals on retail, restaurant, and real estate names. Use cases, limitations, and how it fits into a multi-signal process.

Foot traffic data has become one of the more widely adopted alternative datasets in institutional investing. The idea is straightforward: if you can see how many people are visiting a store, restaurant, or property before a company reports, you have a behavioral lead on the financials. In practice, the signal is real but requires context to be useful.

This post covers how foot traffic data works, where it adds value, and how to avoid the common pitfalls when using it in investment research.


What foot traffic data actually measures

Foot traffic datasets are typically built from mobile device l

Paradox Intelligence Research

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