Case Study: TripleLift achieves real-time, personalized streaming TV ad placements with Amazon Web Services

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

TripleLift, an advertising technology company, wanted to create new real-time product-placement ad units for streaming TV, but needed a way to analyze video, identify insertion opportunities, and personalize ads at scale. To do this quickly and accurately, TripleLift turned to Amazon Web Services and its cloud-based machine learning and video services.

Using Amazon SageMaker, Amazon Rekognition, Amazon WorkSpaces, and AWS Elemental MediaTailor, TripleLift built an ML-powered workflow that analyzes content, composites branded placements, and stitches them into streaming feeds with frame-level accuracy. Amazon Web Services helped TripleLift cut manual work roughly in half, scale faster with growing content volumes, and deliver trackable, personalized ad experiences that improve targeting, measurement, and performance on streaming TV.

TripleLift

Luis Bracamontes

Computer Vision and ML Engineer