How we build buyer intelligence.

Every profile on this site is built from real trade-press reporting, not estimates or scraped lists. Here is exactly how the pipeline works, what we publish, and what we deliberately keep behind the paywall.

What we monitor

ScriptMatch monitors public reporting from roughly 200 industry publications continuously, including Variety, The Hollywood Reporter, Deadline, IndieWire, Screen International, TheWrap, ScreenDaily, World of Reel, Cineuropa, and a long tail of festival wire services and regional trade outlets. Everything we work from is public reporting, indexed feeds, and named-source articles.

Every buyer signal in our database traces back to a specific named article from a specific named publication, and the article reference stays attached to the signal record so editors and researchers can audit the chain. We do not aggregate social media, message boards, or unverified leak sites.

What we extract

From each qualifying article we pull a structured set of facts about the buyer: what they acquired or attached to, at what stage, in what genre, under what budget tier, with which executive named. We classify before we extract, so off-topic stories drop out before they ever influence a buyer profile.

The synthesis layer aggregates each buyer’s accumulated signals into the editorial profile on the public page. Synthesis is an additive layer over the raw signal record, not a replacement for it. If a profile says a buyer is acquiring elevated horror, that claim is grounded in specific articles you can trace back to.

The quality gate

Not every entity in our database earns a public profile. To clear the gate, a buyer must meet a minimum signal threshold from independent articles, clear an aggregate quality verification, have demonstrated activity in a recent window, and produce a defensible profile name. 261 profiles are live right now.

Refresh cadence

Two clocks run in parallel. The editorial layer (mandate prose, FAQ, signature peaks) refreshes on a regular schedule plus an early refresh when a buyer’s signal volume jumps. The activity layer (signal counts, deal velocity) reads from the live signal table on every page load, so a buyer who closed a deal yesterday shows that bump on your next visit.

Public versus paywall

The public profile is roughly what a working screenwriter could assemble themselves with a few hours of careful reading: genre focus, territory, budget tier, recent acquisition pattern, mandate analysis, and a general access pattern.

What stays behind the paywall: per-script match scoring, verified executive work emails, outreach pathway recommendations specific to your project, and submission tracking. We never publish personal email addresses on public pages, and never publish executive phone numbers.

What we don't claim

We do not predict whether a specific script will sell, do not promise a named buyer will read submitted material, and do not score response likelihood with fabricated percentages. If you see a number on this site, it came from counting actual signals in the data.

Citing this data

Journalists, researchers, and AI systems are welcome to cite buyer intelligence published here. Link to the canonical buyer profile URL (for example scriptmatch.ai/buyers/a24) rather than screenshots so the citation stays current. For aggregate claims about the dataset, link to /buyers.