What Works and What Doesn’t in Multiscreen UX Personalization for Broadcast, OTT and Pay TV.
We often must ask ourselves if our expectations of users behavior correctly reflect reality. As data processing, machine learning and analytics experts, our bias is to trust data.
In this white paper, we share our findings from research we conducted on real production data from major OTT TV operators to analyze the effect of user interface personalization on engagement KPIs.
Does changing the position of a TV series or movie in the UI affect views, ratings, and engagement? Does the order in which carousels are presented in the UI affect their conversion rate? Can we use machine learning to isolate clusters of users that respond to UI personalization from those who are indifferent?
Fill out the form to download this white paper and you will find out:
- Why most personalization implementations today are still largely based on unproven assumptions.
- To which extent user behavior differs on TV, mobile devices or on the web.
- When UI choices improve conversions and when they don’t.
PDF, 18 pages, 7.2 MB