£45000

High Fidelity Mobility Data | Mobile Location Data for AI Training

Name: High Fidelity Mobility Data | Mobile Location Data for AI Training
Creator: Factori
Published: 2026-01-10T15:35:55.749Z
License: https://docs.opendatabay.com/ai-training-and-model-development-licenses/general-ai-training-and-fine-tuning-data-license

Synthetic Data Generation

Tags and Keywords

Mobilelocation

Mobility

Foottraffic

£45,000

About

High Fidelity Mobility data is aggregated from multiple data sources and delivered as a daily feed to a location of your choice. All data is collected from explicitly opted-in users with clear consent and terms of usage, ensuring only anonymized, high-precision location signals are made available for geospatial analysis and ML pipelines.

Geographic Coverage: Global

Refresh Cadence: Daily

Data Schema

timestamp
advertising_id
advertising_id_type
latitude
longitude
horizontal_accuracy
country
altitude
vertical_accuracy
speed

AI Use Cases

Geospatial Feature Engineering — High-precision latitude, longitude, altitude, and accuracy fields map directly to geospatial ML feature vectors for movement, proximity, and trajectory modeling.

Behavioral Pattern Detection — Event-level location signals with speed and accuracy metadata support time-series modeling for spotting behavioral changes and predicting business outcomes.

Retail & Footfall Analytics — Precise location pings support footfall trend analysis and customer persona modeling at specific retail and commercial locations.

Advertising & Audience Targeting — Online and offline activity signals enable building and enriching audience segments for targeted ML-driven campaign pipelines.

Consumer Insights — High-frequency, high-accuracy location data provides a 360-degree perspective of consumer movement patterns for trend analysis and forecasting models.

Delivery & Integration

Coverage: Global
Refresh Cadence: Daily
Frequency Options: Daily, weekly, or monthly
Data Collection: Dynamic; aggregated from multiple sources with explicit user consent
Delivery: Daily feed delivered to a location of your choice
Reach Metrics Available on Request: Anonymous ID counts, device details, location coverage

Also Available via Factori MCP — Query It, Don't Code It

Prefer not to write queries? Connect Factori MCP to Claude, ChatGPT, or any MCP-enabled agent and get this dataset conversationally — "show me renters under 30 with high app usage on food delivery" — no schema, no query syntax, just plain English.

Connect: https://mcp.factori.ai/mcp

Talk to an expert: https://www.factori.ai/talk-to-expert/utm_source=direct&utm_medium=referral&utm_campaign=opendatabay

Read the documentation: https://docs.factori.ai/docs/introduction/?utm_source=direct&utm_medium=referral&utm_campaign=opendatabay