Tatari Launches Machine Learning Engine for CTV Ad Optimization
· 18h ago · Originally reported by AdExchanger
Tatari has introduced a new optimization engine that operates at the ad server level for connected TV (CTV) advertising. This technology leverages machine learning to decide which TV ads are shown to specific audiences, aiming to improve targeting and campaign performance.
Why it matters
Advancements in CTV ad targeting help advertisers reach the right viewers more efficiently, potentially increasing return on investment and reducing wasted ad spend.
Explain it like I’m new here
It's like using a smart robot to pick the best commercials for each person watching TV, so ads feel more relevant.
Read the original at AdExchanger
Terms in this story
CTV (connected TV)
CTV (connected TV) is any television connected to the internet, such as a smart TV, streaming stick, games console or set-top box, and the advertising shown in streaming apps on it.
Creative
A creative is the actual ad content a person sees or hears, such as an image, video, audio spot, HTML5 animation or native text, delivered into an ad slot.
Ad server
An ad server is the software that stores ads, decides which ad to show in each slot based on rules and priorities, delivers it, and counts impressions and clicks.
Audience segment
An audience segment is a group of people or devices defined by shared characteristics, such as demographics, interests, purchase behaviour or intent, used to target or measure advertising.
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