Case Study: TripleLift achieves frame-accurate, personalized ad insertion in streaming TV with AWS Elemental MediaTailor

A AWS Elemental Case Study

Preview of the TripleLift Case Study

TripleLift Invents New Ad Units for Real-Time Product Placement in Streaming TV Using ML on AWS

TripleLift wanted to bring more dynamic, personalized advertising to streaming TV and OTT video, but needed a way to analyze content, create branded placements, and insert them accurately at scale. Using AWS services, including AWS Elemental MediaTailor, TripleLift built a solution for real-time product placement that could target different viewers with different ad experiences.

AWS Elemental helped TripleLift use machine learning and cloud-based editing to identify insertion points, composite branded assets, and deliver ads with frame-level accuracy. The result was a faster, more scalable workflow that cut manual work in half, let the creative team focus more on creative tasks, and enabled measurable, trackable ad experiences tied to audience profiles and brand outcomes.


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TripleLift

Michael Shields

General Manager of Connected TV Business


AWS Elemental

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