Turn legacy audiences into modern revenue streams to adapt to a streaming-first world.
Identify content pairings that drive cross-viewership between flagship shows and niche programming. Determine which linear properties should be bundled with digital offerings.
Understand different audience preferences by market, and which genres and markets present an opportunity for content development or acquisition. Understand how local content is performing globally and how competitive each platform’s content slate is.
Access the largest audience behaviour data set combined with demographic and sentiment insights - all in one place. Our global measurement standard gives you a holistic view of what’s trending in which markets, across all platforms - broadcast, pay TV or OTT.
Assess the performance of a genre and comp titles in different markets to see if demand is growing. Understand if a genre is consistently performing or if it shows signs of saturation.
Linear networks can compete by using demand data to decide which audiences, genres, time slots, markets, and distribution windows deserve investment. Streaming-first competitors have trained viewers to expect choice, personalization, and availability, so linear networks need sharper programming strategy rather than broader schedules. That means using audience demand to identify market-specific hits, protect high-value franchises, license content where it can expand reach, and coordinate linear, FAST, AVOD, SVOD, and OTT windows. Parrot Analytics helps executives compare global content performance and audience behavior so networks can program around proven demand instead of relying only on historical ratings or intuition.
Linear networks can measure cross-platform audience demand by combining traditional performance signals with standardized demand metrics that capture how audiences engage with content across markets, languages, and distribution environments. Ratings and platform reports show part of the picture, but executives also need to understand demand outside a single channel, service, or country. Parrot Analytics' demand methodology is designed to measure global audience attention across entertainment content, helping networks compare title performance, market-level demand, audience momentum, and cross-platform value. This gives programming, distribution, and ad sales teams a common evidence base for scheduling, acquisitions, and monetization.
Linear networks can grow advertising revenue by using audience analytics to prove which content attracts valuable audiences, where demand is increasing, and how campaigns can extend across linear, OTT, FAST, AVOD, and digital video. As ad budgets shift toward digital video and connected viewing environments, ad sales teams need more than schedule-level inventory; they need evidence of audience demand, content affinity, market fit, and cross-platform reach.
Parrot Analytics helps networks translate audience behavior and global demand into a clearer sales story for advertisers, supporting packaging, sponsorship, content investment, and monetization decisions across both legacy and streaming environments.
Linear networks remain valuable when they are managed as part of a cross-platform audience and monetization strategy, not as isolated legacy assets. Streaming's share of TV viewing has grown significantly, and traditional subscription economics are under pressure, but linear networks still contribute scheduled reach, habit formation, live-event value, brand safety, and advertising inventory.
The opportunity is to identify where linear programming still creates incremental demand and where content should be extended into FAST, AVOD, SVOD, OTT, or digital windows.
Audience demand data improves programming decisions by showing where content has proven market appeal before executives commit budget, inventory, or distribution priority. For linear networks, that insight can inform which titles to acquire, which library assets to license, which genres to schedule in specific dayparts, and which programs should move into FAST, AVOD, SVOD, or digital windows.
Parrot Analytics supports this workflow by combining demand measurement with audience affinity, supply-demand analysis, and content metadata. The result is a more disciplined programming strategy that weighs audience demand, market whitespace, title availability, and global content performance before decisions are made.
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Data is key and Parrot Analytics provides overnight access to comparable global demand data, which can be especially helpful in the lead up to a premiere. Clearly the measurement industry is fragmented and so being able to have globally consistent data available overnight on how content brands like this are resonating with consumers is incredibly valuable.