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Whitepaper: How to effectively predict and increase your trial-to-paid user conversion rates

With increasing competition in the OTT and Pay TV space, customer acquisition has become a more challenging and expensive proposition for video services.

As it becomes harder to win new customers, it becomes even more important to retain those customers you already have.

The right conversion strategy is a growth accelerator and will have a significant impact on your business profitability.

In this white paper we will explain how Artificial Intelligence algorithms allow video service providers to build and automatically run more accurate trial conversion prediction models, which predict future conversion rates based on past audience behavior.

There are good reasons you should use machine learning to predict SVOD conversion rates in your acquisition process.

With more and more information about your video users’ behavior, JUMP’s machine learning algorithms become more intelligent and can help identify those trial users that are highly likely to convert into paying users. You can then focus your acquisition efforts on this segment, targeting these high-potential conversion candidates.

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