For finance and investors
A leading indicator, before the print.
Unlicensed demand moves ahead of box office and subscriber numbers. Global coverage, per title, refreshed continuously, delivered for backtesting.
Data sourcing and research teams at funds, alternative-data desks, equity research, and diligence teams valuing catalogues.
Three jobs
What it does for you.
01
A signal ahead of the print
Demand for a studio’s or platform’s titles, by market, before the quarter reports. Coverage is global and per title.
02
Point-in-time series
Intake is timestamped; nothing is restated. Daily series by market for four years, per title for 90 days, delivered flat-file or over the API.
03
Diligence on a catalogue
Measured demand for every title in a library being bought, with decay curves by release era. The number under the valuation.
Modules
The pages this job opens.
- Momentum moversTrends and timing
The biggest twelve-month risers and fallers in demand.
- Studio leaderboardRankings
Demand volume and share, ranked across every studio.
- Network benchmarkRankings
Per-title demand benchmarked across networks and platforms.
- Archive searchReports
Full time-series search across every title.
- Movie vs TVCompare
Film against series, and new against catalogue, as a share of demand.
- Acclaim vs demandCompare
Does acclaim drive demand? Ratings and votes against measured demand.
- Monthly reportReports
A packaged monthly report, ready for the board.
Momentum movers
Last 30 daysAll sourcesIllustrative sample- Suits312K watchers+184%
- The Rookie312K watchers+121%
- Teach You a Lesson312K watchers+67%
- The Mandalorian and Grogu311K watchers+42%
- Vikings307K watchers-28%
- Sesame Street304K watchers-46%
The objection
What history is there, and is it point-in-time?
Four years of daily history for markets, genres and studios; 90 days daily per title with a monthly trend beyond. Point-in-time, yes: intake is timestamped. Vendors selling multi-year per-title series are ahead on that row and we say so.
Proof that lands
A sample historical series against a known box-office or subscriber event, a data dictionary, and the delivery format.
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