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Unlocking the Power of Demand Data for Strategic Content Decisions: A Case Study on Resurrection: Ertugrul in Germany

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Parrot Analytics Insights - December 2023

As an entertainment executive, demand data can provide valuable insights to help you make strategic content decisions for your platform. Let's use "Resurrection: Ertugrul" as an example, a series that follows the life of the Turkish warrior Ertugrul. By analyzing demand data for December 2023 in Germany, provided by Parrot Analytics, here are some questions that can be answered to make more informed content acquisition and distribution decisions.

- How is my show performing?
Based on demand data, "Resurrection: Ertugrul" has been performing well in Germany. It has 2.8 times the audience demand of the average show in Germany and only 8.6% of all TV shows have this level of demand. However, compared to its demand over the last 90 days, the demand for this show has been decreasing recently. This data can help you assess the show's value and decide whether it is still worth acquiring or distributing.

- How does my show rank?
"Resurrection: Ertugrul" achieved the peak rank of #857 in Germany, moving up by 150 spots during December. This data can help you understand how your show is competing against other content in your market.

- What is the genre demand for my show?
According to Parrot Analytics' data, "Resurrection: Ertugrul" ranks at the 96.4th percentile in the war genre in December, indicating that it has higher demand than 96.4% of all war titles in Germany. Understanding the genre demand for your show can help you position and market it more effectively.

- Who are the fans of my show and what else do they like?
Knowing the shows that fans of "Resurrection: Ertugrul" also like, such as "Kurulus: Osman", "Futurama", "Last Week Tonight with John Oliver," etc. can help you understand the interests of your target audience and make programming decisions that meet their preferences.

- How has the performance changed?
Although its peak demand was 11.6 times the average over the course of the year, it peaked at 3.6 times the average in the last 30 days. This is a 69.4% increase. The show's average demand on a rolling year basis was 3.7 times the average title, compared to 2.8 times for the last 30 days. This indicates a decrease in popularity.

With these insights, you can use demand data to optimize your content acquisition and distribution strategy. By comparing the demand for your show across different markets, you can also determine which markets have the greatest potential for growth. Understanding the fans' interests and the popularity of different genres can further help you make informed content acquisition and distribution decisions. At Parrot Analytics, we believe that demand data provides entertainment executives with powerful insights that can help them make more informed business decisions to build their brands and captivate their audiences.

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