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Maximizing the Value of Bad Banks: How Demand Data Can Inform Content Decisions for OTT Platforms and Talent Agencies

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Parrot Analytics Insights - December 2023

As an OTT platform executive or content distributor, you may be asking questions like "How much is this show worth to us?" and "Which titles should we acquire to attract or retain subscribers?" Parrot Analytics' content valuation system is powered by global demand data, and provides an economic valuation system for any title, to any platform, in any region. Using the example of "Bad Banks" in Spain, we can see that its demand is good, with 3.6 times the audience demand of the average show over the last 30 days. Comparing its demand over a rolling year indicates a 46.7% increase in demand for the show.

Moreover, the show's demand data can be used to make programming decisions as well. For instance, the show's rank dropped by 85 spots during December in Spain, indicating that scheduling around competing programming may have impacted viewership. Additionally, the audience's affinity for other shows like "Gravity Falls" and "The Boys" can give insight into what content may help the platform attract new subscribers.

If you are a talent agency or producer, you may be interested in using demand data to make more informed content decisions. By examining the top 10 global markets where "Bad Banks" is most in-demand over the last 30 days, we find that Spain is the number one market globally for this show. This tells us that there is a strong interest in financial dramas in Spain, which may be beneficial to consider when developing new content for this market.

Finally, as a pay TV network or linear network executive, you may be interested in how to keep your current audience happy while attracting new viewers to your platform. By examining the demand for similar shows and analyzing viewer preferences, you can make programming decisions that appeal to a wide group of people and potentially expand the reach of your network.

In summary, global demand data can inform content decisions, including content valuation, programming and distribution decisions. For "Bad Banks" in Spain, its demand data can inform content decisions such as programming schedules and can be used to create content that appeals to a specific market.

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