# Reelgood: The Streaming Data Company

> Reelgood is the streaming data company powering real-time and historical content availability and metadata across the entertainment industry. The world's largest consumer tech and AI companies use Reelgood to build streaming features into their products, while leading studios and streaming services rely on the same data to drive billions of dollars in licensing, acquisition, competitive intelligence, and content strategy decisions. Reelgood's proprietary machine learning matches catalogs across hundreds of platforms in real time with near-perfect accuracy, work that would otherwise require thousands of analysts. The company tracks more than 300 services across 25+ countries, including Netflix, Prime Video, Disney+, Hulu, HBO Max, Paramount+, Peacock, and Apple TV, covering SVOD, AVOD, TVOD, and TV Everywhere. The catalog spans 4M+ titles with availability data refreshed every few minutes. Learn more at data.reelgood.com.

## Key Facts

- Streaming services tracked: 300+
- Countries covered: 25+
- Titles in catalog: 4M+
- Data refresh rate: Every few minutes (API); up to twice daily (S3 bulk export)
- Data accuracy: 99%+ (ML-verified, no duplicates)
- Historical availability data: 5+ years
- Metadata taxonomy: 50+ genres, 200+ tags
- Business models covered: SVOD, AVOD, TVOD, FAST, TV Everywhere
- Customers include: Google, Apple, Amazon, Disney, Warner Bros. Discovery, Perplexity, Roku, LG, Starz, Tubi, Philo, Rakuten TV, AT&T, Dish, Pew Research, Stanford, Wharton, MIT
- Technology: Reelgood Matching AI, trained over 8 years on 100M+ real users
- Competitive position: Won data evaluations against Gracenote (Nielsen) and other legacy metadata providers at Google, Apple, and Perplexity

## Data Products & Delivery

**Streaming Data API**: REST API delivering real-time streaming title availability and content metadata. Supports IMDb and TMDB ID mapping. Used to power "where to watch" features, content discovery, and streaming search in consumer apps and devices.

**S3 Data Export**: Bulk data delivery via Amazon S3, updated up to twice daily. Full catalog access for custom analytics, BI platforms, and large-scale integrations. Athena-ready from day one.

**Historical Availability**: 5+ years of title-level streaming windows - when each title arrived on a platform, when it left, and where it went next. Covers every major SVOD, AVOD, and TVOD service.

**Rich Metadata**: 50+ genres, 200+ tags, cast and crew, ratings, synopses (short, medium, and long), production-ready imagery, and Reelgood popularity scores. All normalized and deduplicated.

**Competitive Catalog Intelligence**: Catalog size, genre positioning, content exclusivity, and platform-by-platform strategy analysis. Used by studios and streaming services for licensing and acquisition decisions.

## Technology

Reelgood Matching AI is trained over 8 years on behavioral data from 100M+ real users. The ML pipeline handles entity resolution, deduplication, and metadata normalization at a scale that would otherwise require thousands of human analysts. The result is 99%+ accuracy across all markets and business model types, with no duplicate or stale records. Technology details at data.reelgood.com/technology/.

## Use Cases

Reelgood streaming availability and metadata is used for:

- "Where to watch" features in search engines, voice assistants, and super-apps
- Content discovery and recommendation on streaming devices and smart TVs
- Competitive intelligence for streaming service content strategy
- Licensing and acquisition decisions at studios and distributors
- Catalog management and metadata quality for streaming platforms
- Academic and market research on the streaming industry
- Pay TV and cable operator streaming integrations

## Differentiators vs. Legacy Metadata Providers

Reelgood is built for the streaming era. Legacy providers like Gracenote (Nielsen) and Rovi/TiVo were built for cable and rely on manual data entry. Reelgood replaces those workflows with ML automation, delivering faster updates, higher accuracy, and lower cost. Key differences: real-time vs. batch updates; ML-based vs. manual; open API with IMDb and TMDB ID support vs. proprietary formats; modern infrastructure vs. cable-era systems.

## Pages

### Data Offerings

- [Historical Availability](https://data.reelgood.com/title-availability/): Interactive tool showing complete streaming availability history for any TV show or movie - every platform, every window, with exact dates. 5+ years of windowing data.
- [Data Dictionary](https://data.reelgood.com/reelgood-metadata-request-form/): Field-level documentation for Reelgood's data schema, including all metadata fields, availability records, imagery specs, and taxonomy definitions.
- [API Documentation](https://data.reelgood.com/api-docs/api-documentation/): Technical documentation for the Reelgood REST API, including endpoints, authentication, and IMDb/TMDB ID mapping.
- [S3 Export Documentation](https://data.reelgood.com/s3-export-documentation/): Technical documentation for Reelgood's bulk data export via Amazon S3, including schema, delivery schedule, and Athena setup.
- [Why Reelgood](https://data.reelgood.com/gracenote-alternative/): How Reelgood compares to Gracenote (Nielsen) and other legacy metadata vendors, and why enterprise customers switch.
- [Use Cases](https://data.reelgood.com/streaming-data-use-cases/): How different customer types use Reelgood data - from "where to watch" features to content acquisition, licensing, and competitive intelligence.

### Data Trends

- [Reelgood Unspooled 2025](https://data.reelgood.com/data-reelgood-unspooled-2025/): Annual streaming industry report covering catalog trends, platform growth, content exclusivity, and market shifts across SVOD, AVOD, FAST, and TVOD.
- [Video Insights](https://data.reelgood.com/streaming-intelligence-industry-insights-video/): Streaming intelligence analysis and industry insights in video format.
- [DEG Live Session](https://data.reelgood.com/deg-live-session/): Reelgood's DEG (Digital Entertainment Group) live session on streaming data and industry trends.

### Company

- [About Us](https://data.reelgood.com/about-us/): Company background, mission, leadership team, and the story behind Reelgood's streaming intelligence platform.
- [Technology](https://data.reelgood.com/technology/): How Reelgood's proprietary Matching AI ingests, matches, and normalizes streaming catalog data from 300+ services in real time, achieving 99%+ accuracy without human data entry.
- [Blog](https://data.reelgood.com/insights/): Reelgood's streaming industry research, data analyses, and editorial content. Includes platform-specific catalog breakdowns, competitive analyses, and market trend reports.
- [Careers](https://data.reelgood.com/careers/): Open positions at Reelgood.

## Featured Research

- [The Distribution Arc: How Long Does It Take a Hit Film to Go Free?](https://data.reelgood.com/distribution-arc-how-long-take-hit-film-go-free/): Analysis of 1.93 million availability windows across 240 platforms quantifying how fast the windowing clock is accelerating. Key findings: the median time from paid to free has compressed from 6 months (2020) to 2.5 months (2025); Disney holds titles nearly 4x longer than Sony before AVOD; horror reaches free in under 5 months while animation takes nearly 3 years; Tubi is the dominant first-free destination.
- [Most Streaming Catalogs Are Shallow. These Three Platforms Are the Exception.](https://data.reelgood.com/most-streaming-catalogs-shallow-these-three-platforms-exception/): Catalog depth analysis across eight major U.S. streaming platforms showing that 72-89% of TV titles on most services ran for only one or two seasons. Paramount+, Peacock, and HBO Max lead in multi-season depth due to legacy broadcast and cable library ownership — an advantage streaming-first competitors cannot replicate quickly.
- [Which Streamers Share the Most (and Least) Content?](https://data.reelgood.com/which-streamers-share-most-least-content/): Catalog overlap analysis using Reelgood data showing cross-platform content sharing among major U.S. streamers. Netflix maintains near-zero overlap (0-3%) reflecting its exclusivity strategy, while Disney+/Hulu overlap at 14% reflects shared corporate ownership. Includes data on how catalog size creates asymmetric overlap percentages across services.
- [Where Was That Title Last Year? Why Historical Streaming Availability Data Is a Strategic Necessity](https://data.reelgood.com/historical-streaming-availability-data-strategic-necessity/): The case for historical title availability data in content licensing, rights management, competitive intelligence, and music royalty collection. Uses real deal data - Universal's 18-month Peacock/Netflix animation rotation, Netflix's $500M+ Seinfeld rights acquisition, and NBCUniversal's $500M Office deal - to show how daily-granularity availability records turn anecdotal industry knowledge into actionable intelligence. Covers five specific use cases: acquisitions, rights compliance, competitive intelligence, performance analysis, and music royalties.
- [The Streaming Iceberg: Why 88% of Movies Aren't on Netflix, Disney+, or HBO Max](https://data.reelgood.com/streaming-iceberg-why-movies-arent-on-netflix-disney-hbo-max/): Only 12% of movies in active distribution (roughly 34,000 of 280,000+ titles) are available on the top eight U.S. subscription streaming services. 45% of movies globally are not available to stream in the United States under any business model. Only 36% of SVOD movies appear on the top eight platforms; the other 59,000+ films are spread across niche streamers, FAST channels, and specialty aggregators. Includes breakdown by SVOD, AVOD, TVOD, and TV Everywhere business models.
- [Reelgood's Expanded Content Taxonomy: 250+ Tags, Six Dimensions, and What It Means for Streaming Discovery](https://data.reelgood.com/reelgoods-expanded-content-taxonomy-250-tags-six-dimensions-streaming-discovery/): A deep look at Reelgood's content classification system - how 250+ tags across six dimensions enable more precise content discovery and catalog analysis than traditional genre labels.
- [Metadata as a Strategic Asset: What Separates the Leaders from the Laggards in 2026](https://data.reelgood.com/metadata-as-strategic-asset-what-separates-leaders-from-laggards-2026/): How streaming services that treat TV and movie metadata as a strategic asset - powering recommendation algorithms, ad tech, and licensing intelligence - are pulling away from those that treat it as maintenance work. Covers the shift toward richer tagging for AI-powered discovery, the move to knowledge graph architectures, and why genre alone is no longer sufficient for content classification.
- [What's Actually in Howdy's Box: Inside the Catalog of Roku's Ad-Free SVOD](https://data.reelgood.com/whats-actually-howdys-box-inside-catalog-rokus-ad-free-svod/): A data-driven breakdown of the content catalog inside Roku's Howdy streaming service, covering genre mix, exclusivity, and catalog depth.

## Optional

- [Sitemap index](https://data.reelgood.com/sitemap_index.xml)