Facebook Cuts Third-Party Data Providers From Ad Targeting

Facebook (FB) is in the midst of a public relations firestorm over who has access to its user data and how they use it. The company has now decided tostop using third-party data providers like Experian (EXPGY) and Acxiom (ACXM) for ad targeting:

Facebook says it will stop using data from third-party data aggregators — companies like Experian and Acxiom — to help supplement its own data set for ad targeting.

Facebook previously let advertisers target people using data from a number of sources .. Facebook confirmed the move in a statement attributable to Graham Mudd, a product marketing director at the company.

”We want to let advertisers know that we will be shutting down Partner Categories,” Mudd said in the statement. “This product enables third-party data providers to offer their targeting directly on Facebook. While this is common industry practice, we believe this step, winding down over the next six months, will help improve people’s privacy on Facebook.” 

The decision comes after Cambridge Analytica, a political consulting firm in the U.K., did digital work for Donald Trump's 2016 presidential campaign and allegedly used Facebook data to target target voters.

Could It Impact Revenue?

In deciding to stop using third-party data providers Facebook did not divulge [i] the amount of revenue it generates by aggregating data from third-party data providers or [ii] the amount it charges companies like Experian or Acxiom for the right to supplement their data with Facebook's. I am sure Facebook is not supplementing its own ad data with third-party data for no reason. Data from those companies likely allow advertisers to [i] better target Facebook users and [ii] better predict who is most likely to respond to a particular ad.

Facebook has over 2 billion monthly active users ("MAUs"). By layering in data from Experian and Axciom advertisers could potentially mine Facebook user data and place targeted ads that are cost-effectively. Sans third-party data, an advertiser's programming model could be less predictive of how many and which Facebook users would respond to ad. It could potentially make ads less cost-effective and make Facebook's platform less valuable to advertisers.

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