Argoid, an AI Recommendation and Search provider, based out of Silicon Valley and Bangalore, helped Mitron TV, a leading short format video app, enhance stickiness among consumers and new users with its AI-driven hyper-personalised personalization engine.

• Over 75% of app users watched all the videos recommended by Argoid
• With a 90% completion rate
• Video bounce rate dropped by 20%

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Mitron TV, had grown its user base to 50 million-plus downloads fairly quickly. To enhance its customer experience, Mitron TV wanted to personalize it. Argoid’s algorithm unravelled the core technical challenge that Mitron TV faced – serving the best consumer experience to individual users.

By leveraging machine learning to automatically understand each user’s preferences & behavior and serving them hyper-personalized video recommendations, Argoid sent personalized push notifications to each subscriber based on their individual interests and preferences.

Argoid’s recommender system engaged viewers with the most relevant recommendations, at a personalized time, when they were most likely to act. It learnt the individual user’s behavior in real-time and recommendations became more accurate with every interaction, such as watching the video, liking, sharing a video, or following a creator.

Not only that, the Argoid recommendation engine also supported content creators by serving them with relevant follower engagement notifications such as views, likes, shares, follows, encouraging them to keep creating.