Blog
Measure your video service’s success and understand why your subscribers cancel
Being able to predict the type and percentage of subscribers who are most likely to “unsubscribe” from your video service and understanding why they want
How greater audience segmentation drives greater customer loyalty to your video service
One of the biggest mistakes video service businesses make when managing their viewers is to incorrectly segment their audience or to treat all subscribers the
Boost your users’ experience with data-driven decision making
The user experience is one of the elements that receives the most attention – and thus causes the most concern – for any business that
Content is KING! How to Make the Most of Your Video Service Catalog
Content is KING! Yes, it is, but every king needs to rule his kingdom wisely to have a prosperous and long-lasting reign. A content catalog
What is data-driven user experience?
Gaining insight into the performance of video services user experience must be incorporated as a core part of a video service’s product management process. It
Is my OTT Video Service Successful?
A successful OTT service means you are reaching predefined business goals you have previously set. Defining these business goals for your OTT Video service and
What can Artificial Intelligence (really) do for your video business?
PwC anticipates that artificial intelligence will contribute $15.7 trillion to the world economy by 2030. There is no question that artificial intelligence (AI) currently plays
Reducing OTT Churn & Machine Learning. Why you should try it?
Increasing SVOD competition and slowing OTT market growth will make customer acquisition a more challenging, and expensive, proposition for OTT services. As it becomes harder
Video recommendations and Machine Learning
A good content recommendation system is key for any content provider. Machine Learning video recommendations provide a unique opportunity for broadcasters, Pay-TV operators, TV Networks, and any content distributor to increase engagement and reduce churn through content personalization.
Currently, most recommendation systems operate using explicit information provided by the user about their preferences (for example, by scoring previously watched content) using a technique known as collaborative filtering.
Extreme personalisation and artificial intelligence in the world of video
Recently there has been a lot of talk about personalization in the world of video. One of the questions that my colleagues and I have
