Real ChatGPT answer · index seedYV7T93c58J8completeReal estate · commercial real estateinformational
How does pedestrian foot traffic data captured by mobile geofencing correlate with actual quarterly sales per square foot for regional mall anchors?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How does pedestrian foot traffic data captured by mobile geofencing correlate with actual quarterly sales per square foot for regional mall anchors?
3 real searches · 1 real-search pass
mobile location data retail foot traffic correlation sales revenue store visits study retail sales predictionGoogle ↗
OBSERVEDReason
shopping mall foot traffic sales per square foot anchor tenants empirical study mobile location dataGoogle ↗
OBSERVEDReason
retail sales per square foot mall anchor quarterly sales foot traffic correlation researchGoogle ↗
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
mobile location data retail foot traffic correlation sales revenue store visits study retail sales prediction Google ↗
shopping mall foot traffic sales per square foot anchor tenants empirical study mobile location data Google ↗
retail sales per square foot mall anchor quarterly sales foot traffic correlation research Google ↗
- Measuring the economy with location data | MIT News · news.mit.edu
- Using Smartphone Location Data for Strategy Research · pubsonline.informs.org
- Using Wi-Fi probe requests from mobile phones to quantify the impact of pedestrian flows on retail turnover · sciencedirect.com
- Internalizing Externalities: the Pricing of Space in Shopping Malls1 | The Journal of Law and Economics: Vol 41, No 1 · journals.uchicago.edu
- Untapping the potential of mobile location data: The opportunities and challenges for retail analytics · sciencedirect.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
mobile location data retail foot traffic correlation sales revenue store visits study retail sales prediction OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
shopping mall foot traffic sales per square foot anchor tenants empirical study mobile location data OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
retail sales per square foot mall anchor quarterly sales foot traffic correlation research OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |