For prior Reelgood streaming data solution updates, please refer to our Updated Taxonomy post and Mar 2025 post.

Product Improvements & New Offerings

At Reelgood, providing the most accurate and comprehensive TV & movie metadata and streaming title availability data is our primary focus.

Reelgood now indexes 288,806 movies and 72,011 TV shows globally. Keeping that current is a significant undertaking on its own.

Content moves constantly — on and off services, across territories, through new windows and ownership changes. New titles release daily, from major theatrical releases to new episodes and series premieres across hundreds of streaming services worldwide.

Our Data Collection, Machine Learning, Analytics, and Data Quality teams maintain and improve this dataset continuously.

Here’s what’s new across the platform. This update focuses on deeper metadata, broader service coverage, and improved data quality — so your teams are always working from the most complete picture available.

Awards Data Now Available at the Title Level

Reelgood now supports awards data at the title level as part of its metadata offering, covering both winners and nominees tied directly to each movie and show. Coverage spans major industry honors, including the Academy Awards, Golden Globes, BAFTA Awards, Primetime Emmy Awards, Independent Spirit Awards, and Directors Guild of America awards, alongside festival recognition from Cannes, Venice, Toronto (TIFF), Sundance, and SXSW among others.

The data opens up several uses: powering content discovery through curated, award-based collections, informing licensing and acquisition strategy by surfacing decorated titles worth pursuing, and sharpening competitive intelligence by showing how rival catalogs compare on prestige and critical recognition.

Why it matters:

Prestige and critical acclaim are massive drivers of viewer interest. By integrating title-level awards data, platforms can instantly power highly engaging, curated collections (e.g., “Oscar Winners” or “Sundance Favorites”). Furthermore, this data provides content acquisition and competitive intelligence teams with an automated way to evaluate the critical weight and prestige value of rival catalogs or potential licensing targets.

Historical Availability Expands to France and Argentina

Reelgood has added historical title availability support for two more countries, France and Argentina, both covering data since May 2026. Customers can now track when titles arrived, departed, and moved between services in these markets, extending Reelgood’s historical availability footprint across 25-plus countries across North American, LATAM, Western Europe and Asia.

Why it matters:

Streaming distribution strategies vary significantly by region. Expanding historical tracking into France and Argentina allows international distributors and streaming platforms to analyze localized windowing trends, track exactly when competitors add or drop content in these major markets, and back up content valuation models with precise, market-specific historical data.

Prior Data Solution Updates

Below are when a number of prior updates were released to Reelgood customers:

May 2026

Expanded Taxonomy: 4 New Genres, 157 New Tags Across 360,817 Titles

Reelgood has expanded its content taxonomy across its full library of 288,806 movies and 72,011 TV shows. The update introduces 4 new genres and 157 new tags, growing the taxonomy from roughly 100 tags to 250+. Every title has been re-evaluated and recategorized using the expanded set. The average number of tags per title has approximately doubled, from 3-4 to 6.

This is distinct from the taxonomy quality and coverage improvements released in February 2026, which improved assignment accuracy and coverage of the existing tag set. This expansion adds new tags to the taxonomy itself, organized around six content dimensions: plot and premise, personas and roles, setting and world, themes and issues, tone and vibe, and format and structure.

For example, here is how The Office is now classified under the expanded taxonomy:

No existing genres or tags have been removed. The expanded tag set is available across the full library now, delivered via API or data export.

Why it matters:

Genres and tags are the primary signal for content discovery, recommendation systems, audience segmentation, and ad-targeting workflows. A deeper taxonomy means richer signal per title. Teams building recommendation logic can now surface content based on tone, format, or setting — not just genre proximity. Ad-supported platforms gain more granular brand-suitability signals. And any catalog analysis or content intelligence built on Reelgood’s data benefits from metadata that more accurately reflects what a title actually is. For a full breakdown of the six content dimensions and additional before-and-after examples, see our expanded taxonomy post.

March, 2026

Expanded streaming source coverage: Roku add-on channels (US)

Reelgood now tracks content available through Roku add-on channels in the US market. This includes 20+ Roku add-ons, such as: HBO Max via Roku, Paramount+ via Roku, Apple TV via Roku, Starz via Roku, Crunchyroll via Roku, AMC+ via Roku, etc.

Why it matters: 

Add-on channels are a growing and often overlooked segment of the streaming landscape. Tracking this layer is essential for two reasons: it completes the competitive intelligence picture, and it supports licensing compliance — specifically, flagging whether an add-on channel’s catalog matches or diverges from its standalone counterpart.

Expanded streaming source coverage: Howdy via Prime Video (US)

Reelgood now tracks Howdy as a streaming source on Prime Video in the US.

Why it matters: 

On March 25, 2026, Roku officially launched Howdy on Prime Video, marking the first time the service has expanded beyond the Roku platform. This is an industry-relevant launch: it signals Roku’s shift toward cross-platform distribution and puts a Roku-owned content product directly inside Amazon’s ecosystem. Reelgood added coverage within 2 days of launch.

Improved accuracy of historical availability data

Erroneous availability records have been removed and incorrectly fragmented availability windows consolidated.

Why it matters: 

Historical availability data is foundational to licensing analysis, competitive benchmarking, and content strategy. Incorrect gaps or outliers in availability windows can distort trend analysis and misrepresent how long a title has been on a given service. This update makes both current and historical availability data more reliable across our service coverage.

Removed ~2,500 duplicate episodes (<0.1% of total episodes)

Why it matters: 

Duplicate records skew episode counts, catalog size metrics, and any analysis built on top of them. Removing them improves the accuracy and ensures clients are working from a trustworthy dataset.

What’s the State of Your Entertainment Data?

Is your metadata and title availability solution comprehensive, accurate – and continually maintained and updated? Struggling with duplicate content and out-of-date information?  See how you can eliminate your streaming data frustrations; reach out and see how Reelgood can bring machine learning level speed and accuracy to your operation.