How accurate is the retail storefront foot traffic data provided by Placer ai when evaluating a neighborhood strip mall for our family investment.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How accurate is the retail storefront foot traffic data provided by Placer ai when evaluating a neighborhood strip mall for our family investment.
3 real searches · 1 real-search pass
Placer.ai methodology foot traffic data accuracy mobile location data panel visits estimates limitations validationGoogle ↗
OBSERVEDReason
Placer.ai foot traffic measurement methodology device panel extrapolation visits accuracy case studyGoogle ↗
OBSERVEDReason
retail real estate foot traffic data mobile location data limitations GPS accuracy storefront visits methodologyGoogle ↗
OBSERVEDReason
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.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 1 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
Placer.ai methodology foot traffic data accuracy mobile location data panel visits estimates limitations validation Google ↗
Placer.ai foot traffic measurement methodology device panel extrapolation visits accuracy case study Google ↗
retail real estate foot traffic data mobile location data limitations GPS accuracy storefront visits methodology Google ↗
- FAQ · placer.ai
- Data version 2.1 · docs.placer.ai
- Glossary · docs.placer.ai
- FAQs · docs.placer.ai
- FAQs · docs.placer.ai
- Foot Traffic Data & Analytics Guide · placer.ai
- Source Profile: Placer.ai · emarketer.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Placer.ai methodology foot traffic data accuracy mobile location data panel visits estimates limitations validation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Placer.ai foot traffic measurement methodology device panel extrapolation visits accuracy case study OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
retail real estate foot traffic data mobile location data limitations GPS accuracy storefront visits methodology OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |