Tatari Gives CTV Ad Matching The Max Treatment
Tatari’s new optimization engine sits at the ad server level and uses machine learning to determine which TV ads to serve to which audiences.
Tatari’s new optimization engine sits at the ad server level and uses machine learning to determine which TV ads to serve to which audiences.
Traditional television buying has always required campaigns to work in broad strokes. But political campaigns’ audience-first thinking should carry through to how they use CTV.
Email targeting in CTV has a credibility problem as buyers and sellers question whether one-to-one identity even fits a channel built for broader reach.
During a Covid-induced two-day binge watch of a recent streaming hit, advertisers consistently failed to serve the right ad. Where’s the accountability?
It’s never been more complicated to buy TV ads than it is today. As a result, TV advertisers are rethinking how they want to use programmatic platforms.
More advanced targeting on CTV requires exponentially more data than demo-based targeting, but ensuring all that data is accurate – with consistency across linear and streaming – is a big challenge.