Prime Video Teardown
Identifying where Amazon Prime Video loses users — across onboarding, discovery and subscription — and proposing the changes that move engagement, retention and revenue.
- 3Competitors benchmarked
- 2User personas mapped
- 6Journey stages audited
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Prime Video carries 230M subscribers, 24,000 hours of content and 21% market share, yet the product still cannot reliably tell who is watching. Users burn time hunting for something worth playing, regional and anime catalogues are hard to surface, restricted titles ask for an extra payment with no warning, the Live TV entitlement is never explained, and one household account gives children unfiltered access. Each of these is friction that costs engagement first and the subscription later.
- A per-day subscription tier to capture the binge-watch segment — a new entry point into the base and incremental revenue from users who will not commit to a month.
- A free trial at new-user onboarding: the missing first step in earning trust before the first bill.
- Content bifurcation on the home screen so new releases and genres surface where users already are, instead of behind a search tab most never reach.
- A redesigned login screen, upfront labelling of paid-restricted titles, and a plain explanation of what Live TV includes before it asks for money.
- Regional content diversification as the lever for reaching past the metro, English-first audience.
- A ranked metric stack — engagement, then satisfaction, then churn and retention, then support resolution — so the roadmap has a scoreboard.
- 01
Framed the teardown against three goals: ascertain who is actually watching, lift retention and in-app engagement, and improve the overall experience.
- 02
Profiled the product end to end — the 2006 launch, the ₹299 / ₹599 / ₹1,499 / ₹799-Lite plan ladder, and a revenue model spanning subscriptions, transactional VOD, advertising, Amazon Channels and cross-promotion.
- 03
Benchmarked Netflix, Zee5 and Disney+ Hotstar on customer base and on who actually makes the buying decision, separating primary from secondary buyers for each platform.
- 04
Compared strengths and weaknesses across all four players — Prime's Amazon-funnel conversion, profile lock, in-scene cast and scene jump against Netflix's 4K/HDR and device ecosystem, Zee5's live channels, and Hotstar's continuous playback.
- 05
Built the SWOT: brand, global reach, originals and ecosystem against copyright restrictions and price; regional content and plan repricing as the opening; YouTube, shared accounts, piracy regulation and economic policy as the threats.
- 06
Mapped two personas from opposite ends of the base — Riya, 37, a Chennai bank manager who needs regional content and parental control, and Viraj, 21, a Jaipur student and anime fan who splits the bill and cannot find what he watched last.
- 07
Audited six onboarding stages — login/register, home, Live TV, downloads, search and settings — writing a paired problem and solution for each rather than a list of complaints.
- 08
Prioritised the proposals against four success metrics — engagement rate, user satisfaction, churn and retention, and support resolution — then placed them on an impact-versus-effort matrix.