These articles are for teams that buy or evaluate point of interest, mobility and geospatial data. They cover polygon quality, panel coverage, visit attribution and the diligence questions that follow recent FTC location orders. Read the buying guide first, then use the articles below for specific procurement questions.
A daily signal count, a distinct ID count and a thresholded ID count can all describe one feed. Learn which question each layer answers, why gross rows repeat events, and what to write into a statement of work.
, 9 min read
Evaluate position quality, place geometry, time evidence, local context, and repeated observations before counting a visit. Keep unresolved cases visible and make the classification reproducible.
, 8 min read
Turn an international location-data coverage claim into a country-level evidence matrix. Define the observation window, inspect usable records, and test the geography your decision depends on.
, 6 min read
OpenStreetMap carries about 35 million objects tagged amenity. We recounted them on October 15, 2026 and found that parking, benches, waste baskets and similar street furniture make up well over half. Here is the table, the method, and what it means when a vendor's POI count includes open map data.
, 6 min read
A sourced comparison of nine foot traffic data providers, from Placer.ai, Advan and Foursquare to Unacast, Veraset and GSDSI, sorted by what you actually receive: a dashboard, visit counts by place, or raw device-level data.
, 12 min read
Foot traffic data is a projection from a sample of phones, not a count of people. How panels, device bias, GPS error, dwell rules and building layout shape accuracy, how vendors validate, and which accuracy claims to distrust.
, 9 min read
H3 gives urban planners one hierarchical hexagonal grid that fixes the neighbor-distance and edge-effect problems of square tiles. A working primer on resolutions, aperture 7, and where the hex tile belongs in a planning stack.
, 8 min read
A planning workflow for turning POI records, polygons, brand hierarchy, and venue context into media audiences, exclusions, creative decisions, and measurement-ready campaigns.
, 9 min read
How OOH exposure becomes a defensible store-visit measurement, from POI geometry and visit rules to controls, privacy exclusions, and pilot evidence.
, 9 min read
Polygon POI data is the bridge between billboard geofences, CTV exposure, and store-visit proof: here's how adtech teams wire it in 2026.
, 12 min read
A sourced comparison of 14 named POI data providers, from Google Places and HERE to Overture Maps, SafeGraph and GSDSI, plus the buyer criteria for polygons, refresh, join keys, compliance and delivery.
, 15 min read
The definitive buyer guide to POI data: definitions, types, collection methodology, use cases, provider evaluation, privacy, and glossary terms for 2026 procurement.
, 12 min read
How retail and CRE teams combine POI quality, foot traffic, mobility, card/spend panels, and trade-area context to evaluate new sites without overfitting a single signal.
, 12 min read
What mobility-panel coverage actually looks like in 2026 after the FTC X-Mode, InMarket, and Mobilewalla consent orders pulled sensitive-category supply out of the ecosystem. Panel math, where the replacement supply is really coming from, and the four questions that surface real coverage inside any vendor deck.
, 12 min read
Distance-matrix feeds compute cross-POI proximity at scale. The math is simple; the use-cases are decisive: site selection, cannibalization modeling, and competitive-catchment analytics all depend on it.
, 12 min read
Panel size translates directly to confidence intervals. Here's the working math for how many MAIDs/month you need to support chain-level, store-level, and DMA-level foot-traffic reads.
, 12 min read
What city agencies, MPOs, and urban-planning consultancies actually need from mobility data. OD flows, dwell patterns, equity overlays, and privacy scoping.
, 12 min read
What foot-traffic, CTV-exposure, and spend data reveal about the 2026 travel-and-hospitality recovery: by segment, by geography, by traveler cohort.
, 12 min read
Your foot traffic numbers are only as good as the POI database behind them. Why polygon accuracy, brand hierarchy, and NAICS tagging matter more than device volume, and the accuracy tests to run before you license.
, 16 min read
Digital engagement and physical visits tell different parts of the same story. Here's a practical guide to knowing when each signal type is the right tool for the job.
, 12 min read
Not all geofences are created equal. The difference between a polygon and a radius can mean the difference between accurate visit attribution and expensive noise.
, 12 min read
Relationship disclosure: X-Mode and its successor Outlogic, InMarket, and Mobilewalla are referenced here as subjects of FTC consent orders finalized in 2024 and 2025. GSDSI has no supplier, partner, or reseller relationship with any of them.
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