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Maximizing Content Success with Demand Data: A Case Study of 'Deadliest Catch' in Turkey

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Parrot Analytics Insights - February 2024

Are you an entertainment executive looking for ways to make informed decisions about content acquisition and programming? Look no further than Parrot Analytics' demand data-driven content insights. The following case study of "Deadliest Catch" in Turkey for February 2024 exemplifies how demand data can be a game-changer for content executives.

Firstly, utilizing demand data can be a powerful tool for content valuation. By examining the audience's demand for a title, executives can assess how popular a series is on a global scale and how its popularity is evolving over time. For example, "Deadliest Catch" in Turkey has 4.5 times the audience demand of the average show over the last 30 days, indicating that there is still much to gain from the series. Examining the change in audience demand can help executives understand why a series is increasing or decreasing in popularity. In this case, demand for "Deadliest Catch" has decreased by 67.1% during February, leading executives to ask what changes can be made to recapture audiences.

Secondly, demand data can inform acquisition and distribution decisions by identifying opportunities for content acquisition or production. By providing executives ideas about audience preferences, executives can focus production and acquisition efforts on genres that exhibit demand. For example, fans of "Deadliest Catch" in February 2024 also liked "Bering Sea Gold," "Resident Alien," and others. Another example is understanding that "Deadliest Catch" ranks at the 99.9th percentile in the documentary genre, indicating a need for more high-quality documentary programming.

Thirdly, demand data provides insights into audience behavior that executives can use to optimize content programming. Executives can examine how a title performs in different markets and quantifying the platform-specific marginal revenue contribution. For example, comparing the top 10 markets for "Deadliest Catch" can give insights into global audience preferences, enabling executives to target specific markets better or start unbundling the value of content on any streaming service.

Lastly, demand data can provide metrics for measuring the effectiveness of marketing campaigns or assessing content's longevity. By capturing audience demand across several dimensions, executives can determine whether a series is a suitable candidate for franchises, spin-offs, or just at a saturated point in its lifecycle. For "Deadliest Catch," travelability and franchisability are good, indicating spin-off potential to expand the franchise even further.

Ultimately, demand data provides granular-level insights that inform strategic decisions about content creation, acquisition, distribution, and programming. Parrot Analytics' demand data-driven content insights provide data on everything from content value and ROI to subscriber acquisition and retention to pre-release marketing optimizations. By understanding the audience, entertainment executives can make data-driven decisions about content creation and distribution, resulting in programming optimized for success.

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