TopN AnalyticsIncreasing Engagement for an OTT Streaming Platform
An OTT streaming platform wanted to increase paid viewers' engagement =by better understanding what content different audience segments preferred and where drop-offs were happening in engagement funnel.
Where things stood
Viewer behavior and user activity were analyzed on ad-hoc basis, making it difficult to identify meaningful viewing patterns across the platform.
The platform needed to move beyond basic content-level reporting and understand which users were watching what, when and for how long.
What we built
User activity, content metadata and viewing-session data were consolidated into a centralized analytics layer.
Behavioral metrics were transformed into user and content-level features for segmentation, engagement analysis and targeted recommendations.
How it works
We analyzed viewing frequency, session duration, content affinity, recency and repeat consumption to identify distinct viewer segments.
A platform level engagement funnel was developed capturing rates and drop-offs at every stage from subscription purchase to engagement and churn.
User segments were created based on viewership behavior from Highly-engaged to Potential-Churn.
These insights helped the platform tailor content discovery and engagement strategies around high-value users and their viewing preferences.
What we delivered and learned
Understanding why and when users engage and monitoring Platform-level engagement funnel was critical to improving Paid subscribers engagement retention.
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