How can a beginner estimate potential retail storefront foot traffic using free tools or smartphone location data without spending a fortune?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can a beginner estimate potential retail storefront foot traffic using free tools or smartphone location data without spending a fortune?
1 real search · 1 real-search pass
free pedestrian foot traffic data tools retail site selection manual counts public pedestrian counts datasets smartphone location data privacy limitationsGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
free pedestrian foot traffic data tools retail site selection manual counts public pedestrian counts datasets smartphone location data privacy limitations Google ↗
- Google Maps · google.com
- Placer.ai · placer.ai
- Foursquare · foursquare.com
- Google Data Commons · datacommons.org
- Exploring Pedestrian Counting Procedures (FHWA-HPL-16-026) · fhwa.dot.gov
- Bicycle and Pedestrian Data Collection Manual · highways.dot.gov
- NYC Department of Transportation · nyc.gov
- NYC Department of City Planning · nyc.gov
- How Accurate Is Foot Traffic Data? A Buyer's Guide · gsdsi.com
- Retail Foot Traffic Data: How To Track & Use It (2026) · shopify.com
- PEDESTRIAN AND BICYCLE DATA COLLECTION · fhwa.dot.gov