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Maximizing Viewer Engagement: How Demand Data Informs Content Decisions Using Babylon Berlin as a Case Study

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Parrot Analytics Insights - February 2024

As an entertainment executive, demand data can be used to make more informed content acquisition, distribution and programming decisions. By leveraging demand data, you can obtain insights into audience demand patterns, viewer preferences and market trends which will help you tap into new opportunities, monetize your content and keep your audience engaged.

"Babylon Berlin" is an excellent case study to illustrate how demand data can inform decision-making. With 2.1 times the audience demand of the average show in Turkey over the last 30 days, demand for the show has been good in the region, indicating a strong existing fan base. However, this demand has decreased by 38.2% in February. By comparing its performance across several dimensions we also find a high demand in key markets like Germany and Russia, which presents potential market opportunities.

Using demand data, content valuation can be performed by estimating the worth of a title and its contribution to a platform's success using historical viewer demand data. Parrot Analytics' content valuation system considers audience demand and provides an estimate of the value that a title can bring to any platform or region. For instance, you could calculate the potential ROI a specific title will bring to your platform, assess its ability to drive subscriptions and mitigate churn, determine how it performs as an acquisition-driving or churn-reducing title, among others.

You can also leverage demand data to improve your content acquisition strategy. By analyzing viewer preferences based on their demand for "Babylon Berlin" and other similar shows, you can identify the content that resonates most with your audience and target your acquisitions accordingly. For instance, you could focus on acquiring more German-language content as it seems to perform well in that market.

Using demand data, you can make informed programming decisions by crafting the right content mix based on demand trends and audience preferences. In the case of "Babylon Berlin", viewer demand and affinity data reveals that fans of this show also like "The Lord Of The Rings: The Rings of Power", "Better Call Saul" and "Rick and Morty". This suggests that they prefer content with intriguing storylines, complex characters and immersive world-building, information that you can leverage to build a programming schedule that speaks to your audience.

Finally, use demand data for distribution and marketing strategies. By understanding the level and pace of demand, you can determine when and how to release content to maximize engagement and monetize audiences. You can also identify the most effective marketing campaigns and targeting strategies based on viewer demand trends and performance data.

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