Maximize content licensing with multimodal AI
We’ve been speaking with industry experts, and one common problem stands out. Content licensing is a vital revenue stream for media and entertainment companies, but poor archive metadata hinders discoverability and monetization. Why?
The problem with traditional content licensing flows
Simply put, you can’t license an asset if you don’t know it exists. Traditional archive and search tools, limited by inadequate metadata, suppress content ROI and slow down the content monetization process. In addition, the inability to match content with evolving market trends limits licensing opportunities.
"Almost every European broadcaster is struggling to acquire production metadata in a usable form."
– International mediatech association DPP, member survey
The issue’s hardly restricted to Europe. We regularly talk with US-based Fortune 50 companies, and they’re facing the same challenges. Whether your clients are in-house teams, or downstream customers searching your stock image/video catalog, if you’re trying to monetize media content through licensing, metadata is a major barrier (DPP/Fincons).
There are multiple underlying causes, from the scale of the media library, to the number of data silos, the limitations of human tagging methods, the historic costs metadata enrichment, and the limitations of traditional keyword and metadata-based search tools (check out our multimodal AI search blog for a deep dive on these).
"Before we can actually monetize the archives in a reasonable way, we have to have [good] metadata on it."
– Mike Palmer, AVP, advanced technology/media management for Sinclair
Let’s dive into some common use cases…
Use Case #1: Broadcaster wants to license their media archive
Broadcasters, despite having mature rights management systems, often struggle to identify valuable market content due to poor metadata. The result is delayed and missed monetization opportunities. Our multimodal AI solution powers high-quality metadata generation and improves the discoverability of licensable content – maximizing your revenue opportunities.
Use case #2: Stock footage for creative agencies
Providers like Getty, Shutterstock, and Adobe Stock are in competition to serve up the most relevant content solutions, with speed and ease. Their clients, typically marketers, are under pressure to find high-quality content for advertising and branding campaigns. But legacy search tools leave the value of most content undiscovered – which adds friction to the customer experience, delays purchasing decisions, and reduces agencies’ ability to monetize licensable content.
Use case #3: Content Syndication for Broadcasters
Content owners can monetize archival footage by licensing it to broadcasters seeking unique material for special features, historical documentaries, or nostalgia-driven programming. But finding such niche content is time consuming and difficult owing to the limitations of patchy historic metadata and traditional search tools. Many companies still rely on arduous manual video scrubbing and hours of searching to try and discover the valuable content in their archives.
Use case #4: Long-Term Licensing for Streaming Platforms
Streaming platforms (VOD and OTT) are constantly seeking content to fill their catalogs, especially with rare or niche footage that appeals to specific demographics. Media companies can monetize their archives by licensing long-form content such as TV shows, sports events, or historical documentaries for streaming – but only if that content is readily discoverable to their media managers, who can sell it via the licensing team.
Use case #5: Educational Licensing for e-Learning Platforms
Platforms like Udemy, Coursera, and 2U/EdX often seek high-quality, real-world video content to enhance online courses. Media companies can monetize historical footage, documentaries, and educational programs by licensing this content to e-learning platforms and universities for online courses. But poor metadata means valuable content is hard to find, and requires extensive manual searching, dramatically reducing the ROI on the licensable content.
Use case #6: Branded Content for Corporate Clients
Corporate brands often require archival footage for use in promotional videos, branded content campaigns, or internal/investor-oriented communications. Many media companies are still reliant on traditional search tools, which overlook instances of sponsors’ logos being featured in images and videos - because they’re dependent on inadequate historical metadata.
The solution: boost your content licensing with the Coactive Multimodal Application Platform
We enable major media companies to efficiently navigate their archives, enabling seamless content licensing. With AI-powered metadata enrichment and multimodal search capabilities, Coactive accelerates content discovery, improving both the quality and quantity of licensable assets. Our platform integrates with your existing MAM/DAM, streamlining the entire content licensing process.
The Coactive platform offers:
- Content Enrichment: Create customized metadata using multimodal inputs, allowing your archives to remain relevant and easy to monetize
- Content Discovery: Search across images, videos, and audio using a combination of text, image, and keyword prompts for faster, more accurate retrieval (check out our intelligent search feature)
- Content Analytics: Leverage powerful AI to extract insights from your visual datasets and unlock untapped value (natural language prompts, SQL, and data visualizations available)
- APIs and SDKs to integrate with your existing DAM, making it easy to apply Coactive’s AI-driven tools without disrupting your current workflows
Multimodal AI transforms your archive’s metadata through scalable, detailed enrichment – accelerating your content discovery and licensing capabilities. Close the metadata gap with Coactive and unlock new revenue streams. Request a demo today.
