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MAID-linked mobile pings with lat/long, accuracy, timestamp, speed, bearing, and IP addresses for mobility analysis.
Overview
This dataset contains individual mobile geolocation events tied to Mobile Advertising IDs (MAIDs), capturing device type, precise event time, and event duration. Each record includes latitude and longitude with horizontal accuracy, altitude with vertical accuracy, and motion metrics such as speed and bearing. Network context is provided through IPv4 and IPv6 addresses and a country identifier. The data supports mapping and geographic visualization, spatial queries and proximity analysis, site selection and regional market analysis, movement and route analytics, and anomaly or fraud detection. Accuracy fields enable reliable spatial filtering and multi-dimensional location studies.
Key attributes include:
Mobile Advertising IDs and device type with precise event timing and duration
Latitude and longitude with horizontal accuracy for robust spatial workflows
Altitude and vertical accuracy for three-dimensional location analysis
Motion metrics including speed and bearing for route and movement insights
Network context and country identification via IPv4 and IPv6 addresses
Marketers, mobility analysts, transport planners, and security teams benefit from MAID-linked location events to analyze movement patterns, optimize site placement, detect anomalies, and train mobility models.
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Listing Details
Dataset Summary
Credits Range
-
Price Range
$ -
Time Coverage
-
Pricing Options
1
Countries
2
Refreshes
Size
0 bytes
Rows
0
Activations
Export
Price
Full Dataset
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Tags
Full Dataset
Categories
Ai And Machine Learning Data
Consumer Data
Geospatial Data
Marketing Data
Telecom Data
Transportation And Logistics Data
Industries
Commerce And Industry
Infrastructure And Construction
Public Sector And Government
Technology And Security
Tourism And Travel
Origin
Other
Mobile GPS Data
Use Cases
Mobility-Based Identity Resolution for CDP Onboarding
CDP and identity-resolution platforms onboarding first-party customer files into advertising and marketing destinations need a way to boost match rates beyond cookie and email-hash graphs, which are eroding due to browser and OS privacy restrictions. This use case stitches anonymized mobile device movement data — lat/long pings with timestamps, dwell time, and home/work location inference derived from repeated overnight and daytime visitation patterns — to first-party customer identifiers (household ID, hashed PII, or CRM record) at census block group or rooftop-level spatial resolution. By joining device-graph identifiers and IP/cookie signals from web and mobility data providers against the CDP's onboarded records, identity platforms can resolve a much larger share of first-party records to activatable device IDs, fill gaps where deterministic matches fail, and generate probabilistic household linkages for cross-device and cross-channel targeting. Daily-refreshed U.S. and Canada mobility panels combined with annually updated census/administrative boundary files (for geographic normalization and CBG-level aggregation) allow the resolved identity graph to stay current as devices rotate IDs, supporting downstream activation into DSPs, walled gardens, and clean-room environments.
Foot-Traffic Lookalike Audience Activation for Paid Media
Paid-media agencies and AdTech platforms want to move beyond generic demographic lookalikes and instead build prospecting audiences based on the actual real-world visitation behavior of their best customers. This use case ingests device-level or panel-based visitation and dwell patterns at POIs (visit frequency, dwell time, repeat-visit cadence, and cross-visitation to competitor or complementary venues) captured at daily cadence across the U.S. and Canada, joins that mobility signal to firmographic attributes of the visited businesses (category, brand, chain affiliation), and layers in block-group or ZIP-level demographic and lifestyle segmentation to build statistically similar 'lookalike' cohorts. The resulting audience segments are structured for direct activation into DSPs, social ad platforms, and programmatic exchanges, letting media buyers prospect against people who behave like existing high-value customers rather than people who merely share census-tract demographics. The workflow supports refreshable audience builds so segments can be re-scored monthly as visitation patterns shift and campaigns are re-targeted.
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Dataset Summary
Credits Range
-
Price Range
$ -
Time Coverage
-
Pricing Options
1
Countries
2
Refreshes
Size
0 bytes
Rows
0
Activations
Export
Price
Full Dataset
-
Tags
Full Dataset
Categories
Ai And Machine Learning Data
Consumer Data
Geospatial Data
Marketing Data
Telecom Data
Transportation And Logistics Data
Industries
Commerce And Industry
Infrastructure And Construction
Public Sector And Government
Technology And Security
Tourism And Travel
Origin
Other
Mobile GPS Data
1 Pricing Options · Price Starting at -