Google to address ad frequency with machine learning when cookies aren’t available

Google to address ad frequency with machine learning when cookies aren’t available

Google will be rolling out an approach to ad frequency control that doesn’t rely on cookies in Display & Video 360 over the coming weeks. The company said Tuesday that it plans to bring it to Google Ads in the future.

The feature uses machine learning to analyze traffic patterns when third-party cookies are available and build models to predict patterns when a cookie isn’t present. “This allows us to estimate how likely it is for users to visit different publishers who are serving the same ads through Google Ad Manager. Then, when there is no third-party cookie present, we’re able to optimize how often those ads should be shown to users,” said Rahul Srinivasan, product manager for ads privacy at Google, in the announcement.

Why we should care

Choose whatever metaphor you want, but the cookie has been crumbling for some time now. They aren’t supported on mobile apps and Google and Facebook have led the shift toward using deterministic IDs of signed-in users. This news is also a reaction to Apple. Apple has continued its push against cookies and ad tracking with regular updates to its Intelligent Tracking Prevention (ITP) in Safari. ITP almost entirely blocks the ability of advertisers and ad networks to use cookies. These cases coupled with privacy constraints of GDPR and the upcoming CCPA have put a giant wrench in the system that Google and just about every other entity in the digital advertising industry have operated within.

Google is increasingly relying on models to inform how ads are delivered when it doesn’t have access to data it could once count on. Google is in an enviable position, however: the massive volume of data it’s still able to collect combined with significant investments in machine learning means it can make do with less.

More on the news

  • The company says it aggregates user data before applying its machine learning models, so no user-level data is shared across sites and relies on publishers’ first-party data.
  • The company also says the feature “respects a user’s choice to opt out of third-party tracking.” Google and other digital advertising companies have long ignored Do Not Track.
  • Chrome announced changes to the way it is handling cookies and fingerprinting in May. It will start requiring developers to specify which cookies are able to work across sites and potentially used to track users.

The post Google to address ad frequency with machine learning when cookies aren’t available appeared first on Marketing Land.

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