Machine Learning - eBook (EN)

Drive business growth with personalization

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Pulselive, a digital media sports technology company, successfully integrated Amazon Personalize into its digital media sports offerings in just a few days, despite limited experience with machine learning. Now armed with a more sophisticated recommendation engine, Pulselive has enabled one of its clients—a premier European football club with millions of global fans—to increase video consumption by 20 percent across its website and mobile app. 5 iHeartMedia, the #1 audio company in the US, uses Amazon SageMaker to recommend relevant radio stations to new users of the iHeartRadio app in the form of messages directly after registration. In a 10-day A/B test, the model hosted on Amazon SageMaker had an 8.7 percent higher click-through rate, driving more users to start listening—while still maintaining equally strong listening time. 6 Customer focus 6 https://aws.amazon.com/blogs/machine-learning/real-time-music-recommendations-for-new-users- with-amazon-sagemaker/ 5 https://aws.amazon.com/blogs/machine-learning/increasing-engagement-with-personalized-online- sports-content/ 13 13

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