Tatari Launches Machine Learning Optimization Engine for CTV Ad Matching
TLDR
Tatari has introduced a new optimization engine at the ad server level that uses machine learning to decide which TV ads are served to which audiences.
AdExchanger reports that 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. The article offers few further details beyond that description.
How we got here
- Oct 28StackAdapt Data Hub Lets Advertisers Retarget Users Who Saw ChatGPT Ads
StackAdapt's Data Hub now lets brands and agencies pool CRM data and retargeting segments around exposure to ChatGPT ads across CTV and display, though how views are matched is not explained.
- Oct 26Mobile Ad Tech Firm Affle Plans to Sell Connected TV Ads on Performance Terms
Mobile ad tech holding company Affle wants to sell connected TV ads on outcome-based terms, similar to how app installs are bought.
- Oct 21Netflix expands Trade Desk integration with 4 million data segments and new conversion tracking
Netflix added 4 million data segments and a pixel for Trade Desk buyers, plus 20+ conversion events to its conversions API.
- Oct 13Starling launches as connected TV SSP addressing show-level data gap for marketers
Starling has launched as a connected TV SSP aimed at solving the show-level data problem CTV marketers face.