£263000

Factori Mobile Location Data | Global | AI Training | 1 year History

Name: Factori Mobile Location Data | Global | AI Training | 1 year History
Creator: Factori
Published: 2026-01-19T16:54:34.411Z
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

Mobile

Global

Location

Ai

£263,000

About

Mobility and location data is gathered from location-aware mobile apps via SDK-based implementation. All users explicitly consent to location data sharing through a clear opt-in process, with opt-out options available. Factori ingests, cleans, validates, and exports all location signals to ensure only the highest quality data is available for ML pipelines and geospatial analysis.

Record Count: 90 Billion+

Capturing Frequency: Once per Event

Delivering Frequency: Once per Day

Updated: Daily

Data Schema

maid
latitude
longitude
horizontal_accuracy
timestamp
id_type
ipv4
ipv6
user_agent
country
state_hasc
city_hasc
postcode
geohash
hex8
hex9
carrier

AI Use Cases

Geospatial Feature Engineering — Latitude, longitude, geohash, and H3 hex resolution fields map directly to geospatial ML feature vectors for movement and proximity modeling.

Behavioral Pattern Detection — High-frequency event-level location signals support time-series modeling for spotting behavioral changes, analyzing trends, and predicting business outcomes.

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

Market Intelligence — Analyze proximity to points of interest and the competitive landscape across global geographies using geohash and hex-resolution data.

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

Identity Resolution — MAID, IP, and carrier fields support cross-device entity resolution and identity graph construction pipelines.

Delivery & Integration

Coverage: Worldwide with one year of historical data
Record Count: 90 Billion+
Refresh Cadence: Daily, weekly, monthly, or quarterly
Data Collection: Dynamic; each export reflects the most current available signals
Format and Delivery: Confirmed on engagement
Reach Metrics Available on Request: Country-level counts, MAU, DAU, Monthly Location Pings

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