Login

Tags

Factual Blog / Tagged:

partners

Factual and Facebook Expand Location Data Partnership

We are proud to announce that we are expanding our partnership with Facebook. This past August we announced that Facebook would be using our Global Places data to improve the quality of their data in the United States. This expanded partnership covers additional countries in EMEA, LATAM, and APAC. The data is used across many features...

Factual & InMobi Partner to Enable Location-Based PMPs through InMobi Exchange

Factual is excited to announce an expansion of our current partnership with InMobi to include the release of our high quality location-based audience data within private marketplace (PMP) environments on InMobi Exchange (IX), powered by Rubicon Project. This endeavor is emblematic of the growing trend in data-driven advertising, the rise of private marketplaces. PMPs provide ad...

The Trade Desk Partners with Factual to Enable Location-Based Mobile Ad Targeting

We are excited to announce a partnership with The Trade Desk, the leading demand-side platform in the $20 billion advertising industry. Under the terms of our partnership, The Trade Desk will integrate Factual’s rich, global datasets into its platform to enable media buyers to use location data to deliver relevant advertising to mobile users. Specifically, The...

Factual and Facebook Partner to Improve Location Data Across Facebook

We are thrilled to announce our partnership with Facebook. Facebook will be using our Global Places data, including Restaurants and Hotels extended attributes, in order to help enrich and improve the quality of Facebook’s US places data. This data will be used across many features in Facebook including Facebook Business Pages, places search, Check Ins, and...

Expanding Our Data in Apple Maps

We are excited to provide Apple with access to and tighter integration with our Global Places data. Places data changes constantly as new businesses open, old businesses close, or businesses change locations or change aspects of themselves. Our data stack is designed to distill down billions of pieces of information from millions of different sources into...