What it is for
A viewership number on its own says very little. A title that did modestly in a crowded window may have outperformed one that looks bigger in isolation, and a library's value depends more on its decay curve than on its peak. The number becomes useful when it is compared with a cohort of similar titles, matched on territory, genre, budget band and release pattern.
Normalised performance data for film and episodic content across streaming, broadcast, and transactional windows. Each title is scored against a cohort of comparable releases matched on territory, genre, budget band, and release pattern, so the result shows whether it over- or under-performed. Catalogue decay is modelled out to 36 months for library valuation work.
What it does
- Territory-level completion and drop-off curves
- Comparable-title cohorts with confidence bands
- Catalogue decay modelling to 36 months
- Day-and-date versus staggered release comparison
- Genre and budget-band normalisation
- Revision history on every restatement
- Coverage
- 61 territories
- Refresh
- Weekly
- Delivery
- API, S3, warehouse share
How it works
Assemble the cohort
For each title we build a set of comparable releases matched on territory, genre, budget band, and release pattern. The cohort is visible, so you can see what each title is being compared with.
Normalise
Performance is expressed against that cohort, with confidence bands. A thin cohort gives a wide band, and we show it, so a result never looks more precise than it is.
Model the decay
Catalogue performance is projected to 36 months for valuation work. That is the horizon most library transactions and output deals look at.
Keep the history
Every restatement is versioned, so if a figure already used in a negotiation changes, you can explain why.
What you get
- Title-level performance scores with visible cohorts
- Territory completion and drop-off curves
- 36-month catalogue decay projections
- Release-pattern comparison for day-and-date decisions
- API, S3, or warehouse share delivery
- Full revision history on every restatement
Who it is for
- Distributors and rights holders valuing a library
- Commissioning and acquisition teams benchmarking against comparables
- Strategy teams assessing release patterns across territories
Discuss Title Performance Index
Briefings, a scoped trial, or a look at your current setup. Tell us what is breaking.
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QuestionsQuestions
Common questions about Title Performance Index.
DRM solutions
Three corporate use cases, each with a Widevine demo that runs in your browser and checks what your device supports.
Video projects
Example designs for video on Cloudflare, each with a sequence diagram and the platform limits that apply.
- Serverless video platformUploads, encoding, captions and signed playback with no servers to run
- FFmpeg encoding on Cloudflare ContainersYour own ladder and packaging, started by an upload, served from R2
- Sub-second live with WHIP and WHEPLive auctions, Q&A and watch-alongs where a few seconds of delay is too much
- Searchable video archiveFind the moment in hours of recordings by what was said
- Thumbnails and previews by URLHover previews, thumbnails and storyboards for a clip library, with no batch jobs
- Instant clips from a live streamViewers clip the moment they just saw and share it while the event is still on