Mentioned in 2 AI use cases across 1 industries
IAS uses contextual signals to steer ad buying toward better-performing pages, and brands then measure stronger click-through, conversion cost, or return on ad spend.
As a person clicks around right now, the system updates what it thinks they want and reorders recommendations on the fly.
A store app tells workers which jobs matter most right now, like fixing empty shelves first, so they spend less time figuring out what to do next.
Saks made its homepage act like a digital concierge that changes what each shopper sees based on what they seem interested in right now.
A targeting agent can run inside the ad platform to decide which deals or audience segments should be activated during a live ad auction.
Instead of just matching ads to simple keywords, AI reads the meaning of each page so brands can place ads next to more relevant content.
Instead of showing a discount only once or hiding it in a pop-up, Sephora kept the offer visible throughout the shopping journey and continued showing it to returning new shoppers who had not bought yet.
A retailer turns personalization on in platform settings instead of changing app code every time, making it easier to test whether personalized search performs better.
After confirming a molecule binds the target, researchers test whether it changes the target's RNA-control job inside cells and whether that reduces harmful cell behavior.