The COVID 19 pandemic has accelerated the ongoing transformation of the media landscape and its new modes of consumption and businesses are constantly under pressure to meet end-user needs that are becoming more and more demanding. Consumer’s expectations today include a larger choice of content, a personalized viewing experience, broadcast-grade video quality and ubiquitous availability – consume everywhere, anytime, on any device and connection. Learn more about the acceleration of cloud and virtualization for media production.
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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.
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Competition for viewer “eyeballs”, to use the industry term, has never been more intense. Part of this is due to the proliferation of viewing channels and distribution mechanisms, as well as increasing pressure on the entire economic model for content creation, distribution and monetization.
On the other side of the coin, viewers expect high quality in creation, output and delivery. They want that content delivered whenever and wherever they want, and they want to minimize how much they pay for it. Simply put, viewers’ expectations are at an all-time high, at a time when they have a staggering amount of choices.
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