Entertainment executives can use demand data to make more informed decisions when it comes to content valuation, acquisition, distribution, and programming. By looking at the example of "Nikita," we can see how demand data can provide insights into the success and performance of a TV series.
Using demand data, executives can determine the popularity of a particular show relative to the average title. In the case of "Nikita," demand was 13.7 times the average show in the United States over the last 30 days, indicating outstanding audience demand. This data can be used to determine the dollar value contribution of a title to a platform, making content valuation more accurate.
Demand data can also provide insights into the performance of a TV series over time. For example, while "Nikita" peaked at 16.8 times the average over the course of the entire year, it peaked at 15.4 times the average in the last 30 days, indicating that its popularity is decreasing. This information can be used by executives to determine the ROI that a specific title will bring to any given platform.
In addition to providing information on a show's popularity, demand data also allows executives to assess a TV series' ability to drive subscriptions and avoid churn. By examining the top 10 global markets where "Nikita" is most in-demand, executives can see which markets have the most potential for acquiring subscribers or increasing engagement.
Demand data can also help with programming decisions, such as scheduling and promotional campaigns. For example, demand for "Nikita" spiked in late July 2023, indicating that there may have been a particular event or promotion that drove interest in the show.
Overall, demand data provides entertainment executives with valuable insights into the performance and potential of TV series. By analyzing this data, executives can make more informed decisions and maximize the value of their content, acquisition, distribution, and programming strategies.
