Data Driven Advertising Experts

Data-driven advertising uses real information about people's behaviors, purchases, searches, and locations to decide who sees your ads, instead of guessing at demographics. It is the fuel behind the returns strong brands get from paid media; the data tactics on this page are the ones advertisers leverage to drive 10-30x return on ad spend. The core tools are remarketing, lookalike targeting, and syndicated data segments.

Remarketing shows ads to people who already connected with your business: past buyers on your email list, recent website visitors, cart abandoners, social media engagers, and app users. It works because these people already know you, so they convert at far higher rates than cold audiences. It is usually the first data strategy worth funding.

Lookalike targeting (often written LAL) finds new prospects who share the characteristics of your existing customers. You start from a real data set, like your buyer list or recent purchasers, and the ad platforms model who else behaves like those people. It is how you scale beyond your current audience without abandoning what the data says works.

Extremely specific: Brill Media's platforms carry over 500,000 data segments from 150+ providers. Real examples include reaching accountants by profession, Los Angeles Dodgers fans, smart home product buyers, and even past Oreo purchasers. Combined with contextual targeting, the possible audience combinations are effectively infinite.