Google has posted its latest proposal for privacy-safe programmatic ad targeting, called DOVEKEY, for discussion on GitHub. To preserve privacy, bids are made against anonymous interest group IDs rather than specific individuals. Work is shared between the browser and a trusted third-party server so there’s no need to trust Google to run the auctions itself. See the GitHub article and this DigiDay piece for details.
‘Tis the season for CDP announcements. Yesterday was Oracle’s turn and the theme was integration: they offered integrations with Sourcepoint and OneTrust privacy systems and tighter integration with Oracle’s own Eloqua, Data Management Platform, and Infinity streaming data collector. Also added: support for B2B data models and a universal data collection tag.
Everyone’s favorite example of spooky personalization is Minority Report, and particularly the mall scene where advertising posters talk to specific individuals. I though that had finally happened when I saw that Quotient was offering in-store digital ads targeted with “proprietary shopper intent data and exclusive shopper purchase data”. But it turns out they’re just analyzing that data and then targeting locations that are most likely to attract particular audiences, not individuals. So at least one dystopian nightmare hasn’t come true in 2020. Yet.
Tealium has launched a suite of solutions aimed at powering AI models with rich, filtered and consented data. Tealium for AI uses existing Tealium features to support AI applications with specialized integrations, partnerships, configurations, and attributes.