Uplifting conversion across the acquisition funnel with personalization using contextual bandits on AWS
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Generative AI makes it cheap to produce personalized content at scale, but which variation do you show each customer? Amazon Payments used a multi-objective contextual bandit on Amazon SageMaker AI to personalize an acquisition funnel, achieving a high single-digit conversion lift for one audience, and learning why content, not the model, was the constraint.
Generative AI has made it possible to produce large amounts of personalized content quickly and at low cost. In our previous post , we showed how generative AI on Amazon Bedrock can produce personalized content at scale while staying within brand guidelines and guardrails. The new challenge is now one of selection. Among all of those options, which one do you show each customer, and how long does it take to learn the answer? This post tackles the selection challenge that follows the…
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