As an entertainment executive, you face many critical decisions in content acquisition and distribution, programming, and investment. The good news is that demand data can assist in making informed decisions that will maximize your revenue streams and audience satisfaction. The analysis of "Bizim Hikaye" in Germany for February 2024 provides excellent insights into various aspects of using demand data in decision making.
Firstly, it is essential to understand the level of demand a particular title has in different regions. For instance, "Bizim Hikaye" has 2.6 times the audience demand of the average show in Germany, indicating good demand for the title. This information can help you determine whether to acquire the content or distribute it extensively in a particular market.
Secondly, demand data provides insights into audience trend behavior over time, indicating if the audience is losing interest in a title. For instance, demand for "Bizim Hikaye" has been decreasing recently compared to its peak demand of 2.9 times the average over the last 90 days. This tells you when to implement content refresh strategies or when to sunset the show.
Thirdly, understanding demand data for a show helps you discover the show's franchise potential. For "Bizim Hikaye," the spin-off potential is good, meaning you can explore avenues for further monetization of the IP.
Fourthly, demand data can assist in optimal release strategy and pricing for a title. The show's demand spiked in late February 2024 for Germany, indicating that this information could help you decide on the best time to release content, which in turn maximizes the content's viewer engagement and revenue.
Lastly, demand data is crucial in identifying the type of content with opportunity for production or acquisition. For example, "Bizim Hikaye" ranks at the 97.3rd percentile in the romance genre in Germany, indicating that there is demand for such content in that market, and as an entertainment executive, you should give priority to this type of content in your catalog.
Additionally, content valuation uses demand data to answer significant questions like how much a series is worth and its contribution to a platform's valuation. For instance, Parrot Analytics' content valuation system can reveal the dollar value contribution of "Bizim Hikaye" to any platform in any region, enabling executive decisions regarding content acquisition, distribution, and investment.
