With a view to boost viewer engagement and loyalty, Viacom 18’s ad-funded India-wide OTT service VOOT has gone live with ThinkAnalytics personalised recommendations in seven languages for its 37 million monthly active users.

The ThinkAnalytics Recommendation Engine uses machine learning and predictive analytics to understand individual viewer preferences and broader viewing trends in real-time and suggests new content, personalised to each viewer. ThinkAnalytics asserts that as a result, operators see a substantial uplift in viewer engagement and loyalty.
The entertainment network believes that by deploying the new technology a significant proportion of future viewing from its OTT service will now come from intelligent search and content recommendations as users find it quicker and easier to find content they want to watch. Viacom 18 has also deployed the ThinkComposer UX engine and ThinkEditorial, integrated with the ThinkAnalytics Recommendations Engine, enabling its editorial team to automate and streamline content curation and promotions in order to better meet KPIs and business goals.
“When we saw the data showing how much ThinkAnalytics boosts viewer engagement, we knew it was the right service for VOOT and for our viewers,” said Mohit Srivastava, head of product and engineering, Viacom18 Digital Ventures. “Having ThinkAnalytics intelligent search and personalised recommendations on the main UI makes it easy for viewers to discover more exciting programs from the wealth of content available on VOOT.”