We mainly collect GPS and IDFA information from phones and tablets. It is worth noting that our processing system automatically filters out personal data that was not obtained through opt-in for a specific use. Once the data we collect has served its purpose, it is aggregated and we discard all personal information.

We are not interested in device-centric data as our approach is based on point of interests analysis (work site, store, venue, etc..). We use census block analysis, which is the most commonly used statistical method for mapping specific trends within a specific area. While this method requires precise information regarding the boundaries of the location defined, it allows us to avoid tracking individual devices.

While most advertisers relying on geotargeting gather a significant amount of data to guide brands, our 10 years of experience as a leader in drive-to-store campaigns allows us to adopt a reverse approach using brand needs as the starting point. We first identify the needs of the brands we serve and then only use a small amount of data to help them drive growth.

Because we only need a small amount of data to produce valuable insights, our technology has not been impacted by recent data regulations like Apple’s App Tracking Transparency Framework (ATT). As we look towards an increasingly privacy-first environment, our approach is based on developing technology that is more and more reliable while using less and less individual data.

Locala was founded 11 years ago in France, the birthplace of GDPR, often described as the toughest privacy and security law in the world. Our compliance with this European data privacy regulatory framework requires us to only use data obtained through opt-in.