Best Data for Location Intelligence

Recommended Data for Location Intelligence

LDU | Germany | 2020 Reachable Population Counts (by age and sex) within a 2 Hours timeframe by Truck | 76174 Origins

Point-of-Interest (POI) Data | Global Coverage | 250M Business Listings Data with Custom On-Demand Attributes

Mobility Data & Insights | Mobile Location Data | 18.8M+ Locations in the US

Point-of-Interest (POI) Data - India - APAC-LATAM-EMEA

Geolytica POIData.xyz Points of Interest (POI) Geo Data - Canada

Geolytica POIData.xyz Points of Interest (POI) Geo Data - China
MBI Geodata
Quadrant
Veraset
Intuizi
We use intuizi to help us with insight and marketing data - so we can better reach our audiences with relevant messaging, and encourage repeat purchase! Would highly recommend and the team were really helpful.
CustomWeather
Strong data coverage and quality. Ended up licensing hourly and daily weather data in the United States. Strong historical coverage. Team was easy to work with and moved quickly to deliver the data in the format we needed.
DestinyCS
Frequently Asked Questions about Location Intelligence
What is location intelligence?
Location intelligence refers to the insights that are derived from geospatial data. Such intelligence can be organised and visualised on maps either spatially or chronologically.
Why is location intelligence important?
Location insights make it possible to link online data to real life insights. This is why such intelligence is associated with a wide range of business use cases in fields from marketing to public planning and insurance.
What are some examples of location intelligence?
Common examples of location intelligence and it appearance include customer profile analytics, expansion planning, and risk management. Marketers can use location signals as their triggers for advertising campaigns. Location intelligence can tell business owners where the optimal location for their next store is. Insurance firms can use location analytics to verify insurance issues and mitigate risks from fraudulent claims.