Posts Tagged ‘content acquisition’
Every Streaming Service Has a Fingerprint. Do You Know Yours?
A streaming platform we work with spent months struggling to explain what made its service different. The marketing team had theories. None of them stuck. Then it ran its catalog through Reelgood’s data and found something it had never noticed: it held the largest horror library of any major streamer. Nobody internally had framed the…
Read MoreWhat Streaming Buyers Are Actually Acquiring: How to Read Catalog Changes for Licensing and Sales
Over the past few months I have sat in on a string of conversations with content strategy, acquisition, and sales leaders at production companies and independent distributors. The companies could not have been more different: a Canadian studio selling scripted series into Europe, a mid-size studio building a slate for underrepresented audiences, an indie distributor…
Read MoreThe Measurement Gap: What Most Streaming Services Are Still Missing
Next in our series on the Reelgood team’s 2026 Streaming Industry Predictions. Key Takeaways Most streaming services lack real-time visibility into competitors’ and partners’ catalogs, creating dangerous blind spots in acquisition, renewal, and licensing compliance decisions. Per-title content ROI remains one of streaming’s hardest unsolved measurement problems. Assigning meaningful monetary value to content on a…
Read MoreWhere Was That Title Last Year? Why Historical Streaming Availability Data Is a Strategic Necessity
Key Takeaways Historical streaming TV & movie availability data provides the context that licensing teams, rights managers, and analysts need to make informed decisions about content worth hundreds of millions of dollars. Without it, organizations risk overpaying for overexposed content, missing compliance violations, misreading viewership trends, and leaving revenue on the table. Real-world content licensing…
Read MoreHow AI and Machine Learning Will Reshape Streaming in 2026
Next in our series on our team’s 2026 Streaming Industry Predictions. Key Takeaways AI-powered discovery is moving beyond basic genre recommendations toward hyper-personalized interfaces that match content to individual mood, taste, and viewing history in real time. Behind the scenes, ML is becoming just as critical for monetization, powering more sophisticated ad-tech targeting as ad-supported…
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