with a flexible recommendation engine that can support many recommendation scenarios separated into three main categories
OVERALL USAGE
Create ecommendations based on subscriber's interaction in total e.g. Most viewed content, Top 10, Top rated
PERSONAL USAGE
Create personal recommendations based on subscriber interaction e.g. Because you watched, Because you like
CONTENT BASED
Create recommendations related to the content e.g. In the same category, More like this
user engagement
Keep your engagement levels high
Highly engaged users will keep coming back to the app for more content and instantly boost profitability. Customer devotion is measured by the time a user spends consuming content on the platform, avoiding competitive products.
ADD RECOMMENDATION RIBBONS
Create new recommendation ribbons to promote your catalog to the audience:
Top10 Movies Top10 Series Top Picks for You
CONTENT RATING
Provide recommendations based on user rating, through a content rating mechanism with stars.
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