Explaining the Criteria Used by Leading Providers
1. Signal Type
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Measures the source of the location signal: GPS, Wi-Fi, Bluetooth, or cell tower.
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Why it matters: GPS is most precise, while cell towers are much less accurate.
2. Dwell Time
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Calculates how long a user’s device remains in a location.
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Why it matters: Longer dwell times indicate intentional visits, not drive-bys or pass-throughs.
3. POI Matching (Point of Interest)
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Compares coordinates to known physical locations like stores, booths, or event venues.
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Why it matters: Verifies that someone was actually at a meaningful location, not just nearby.
4. Recency
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Evaluates how fresh the location data is — seconds, minutes, or hours ago.
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Why it matters: Real-time data is more relevant for live event targeting and in-the-moment engagement.
5. Frequency
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Measures how often a device emits location signals during a visit.
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Why it matters: High frequency increases confidence that a visit actually occurred.
6. GPS Precision
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Assesses the margin of error (in meters) in a given location ping.
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Why it matters: Higher precision is critical when targeting tight geofences like a specific booth or hotel ballroom.
The chart above compares five well-known location intelligence companies—Foursquare, Near, Cuebiq, X-Mode, and Tamoco—across these six key verification criteria. The more methods a company uses, the higher the confidence in the accuracy of their data. For example, Foursquare uses its Pilgrim SDK to combine GPS, Wi-Fi, and motion data, while Cuebiq applies a Location Quality Score (LQS) to every signal it collects. Tamoco emphasizes POI-level accuracy, and X-Mode, now part of Digital Envoy, is known for high-frequency GPS data. Each provider takes a slightly different approach, but the goal is the same: accurate, privacy-compliant location data that marketers can trust.






