OTT platforms shift from binge to weekly episode drops

Indian Opinion DeskIndian Opinion DeskGovernance6 minutes ago1 Views

Video streaming platforms in India are increasingly adopting staggered episode drops, releasing episodes daily or weekly instead of whole seasons at once, and reporting higher cumulative viewership and retention. Industry executives say…

Video streaming platforms in India are increasingly adopting staggered episode drops, releasing episodes daily or weekly instead of whole seasons at once, and reporting higher cumulative viewership and retention. Industry executives say weekly releases build word-of-mouth momentum, with audiences growing week on week rather than peaking and fading after a single binge drop.

OTT platforms shift from binge to weekly episode drops

The second season of Lock Upp drew weekly viewership of 3.4 million to 4.2 million across its run, while Criminal Justice: A Family Matter became the second most-watched OTT original in 2025 with 27.7 million total viewers. The strategy is reserved for marquee titles with established fan bases, and genre plays a deciding role: mysteries and thrillers benefit from weekly theorising, while comedies still favour binge releases.

Indian Opinion Analysis

The shift from binge to weekly drops mirrors a broader platform strategy to improve two core metrics: average revenue per user and customer lifetime value. Netflix's 2018 move to drop Sacred Games in one go was then a novelty in India, the pandemic made binge the default habit, but that behaviour also compressed subscription value into a single month. Platforms now recalculate: weekly drops extend the paid tenure of a subscriber by three to four weeks per title, and on ad-supported tiers, they stretch a single show's advertising inventory across a longer campaign window. The Ormax data shows Lock Upp's 3.4, 4.2 million weekly range, which cumulatively aligns with the 27.7 million viewership Criminal Justice logged across its run.


Source: livemint.com

This brief was synthesised by AI from the source linked above.

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