OTT has dramatically transformed the way viewers consume media content, forcing media companies to go direct-to-consumer with own OTT platforms. With consumers flooded with choices of such content platforms, an important imperative to success for an OTT platform is to drive differentiated engagement and experience for its consumers.
LTI’s fan-based model identifies big communities or topics with large fan bases, and helps you provide targeted and micro-personalized suggestions to viewers based on their preferences, likes and viewing history – in other words, identifying subjects, genres and categories they are fans of. Thus, our solution, powered by a mix of AI and analytics, helps in creating a loyal fan base.
LTI’s fan-model micro-personalization engine is a cutting edge and path breaking solution that drives this much needed highly differentiated engagement and experience for OTT consumers, helping media companies maximize monetization with higher conversions and retentions. This solution from LTI applies deep consumer science to understand every consumer’s content preferences and viewing patterns to build extensive fan personas that enables micro-personalization on OTT. This micro-personalization keeps consumers highly engaged with fan-persona based recommendations and extreme personalization across multiple dimensions including custom content categories, micro-consumption content capsules, artwork, synopsis, offers and communication channels.