cross-posted from: https://slrpnk.net/post/19675447

Archived version

Here is an Invidious link for the video (and ‘Lola’ part starts at ~5 minutes)

To demonstrate this, Sadoun introduces the audience to “Lola,” a hypothetical young woman who represents the typical web user that Publicis now has data about. “At a base level, we know who she is, what she watches, what she reads, and who she lives with,” Sadoun says. “Through the power of connected identity, we also know who she follows on social media, what she buys online and offline, where she buys, when she buys, and more importantly, why she buys.”

It gets worse. “We know that Lola has two children and that her kids drink lots of premium fruit juice. We can see that the price of the SKU she buys has been steadily rising on her local retailer’s shelf. We can also see that Lola’s income has not been keeping pace with inflation. With CoreAI, we can predict that Lola has a high propensity to trade down to private label,” Sadoun says, meaning that the algorithm apprehends whether Lola is likely to start buying a cheaper brand of juice. If the software decides this is the case, the CoreAI algo can automatically start showing Lola ads for those reduced price juice brands, Sadoun says.