Serving video recommendations on video pages to encourage continued watching
Who:
A large entertainment network
Strategy:
In order to drive video views, the network uses auto-optimization algorithms to run video recommendations on all of its video pages, auto-recommending the most relevant videos to each visitor.
Hypothesis:
When increased video consumption is the goal, media companies must do everything in their power to maintain a user’s attention once they’ve started watching a piece of content. Recommendations are a powerful tool for this type of desired engagement, and marrying them with important information such as past watching history and other behavioral signals can increase relevancy, ensuring high content performance levels and increasing video view rates.
Templates that can be used to achieve this: Your Dynamic Yield account comes preloaded with a rich library of personalization templates, so that you can launch personalization use-cases instantly without requiring any additional design and development effort.
Your Dynamic Yield account comes preloaded with a rich library of personalization templates, so that you can launch personalization use-cases instantly without requiring any additional design and development effort.
