Demand data is a powerful tool that entertainment executives can use to make more informed decisions about content valuation, acquisition, distribution, and programming. For instance, looking at the example of "Hannibal", we can see how its outstanding level of demand in the United Kingdom compared to other TV shows can help executives assess its value as an asset. With 11.9 times the audience demand of the average show in the country over the last 30 days, "Hannibal" is an outstanding performer. The fact that just 2.7% of all TV shows have this level of demand shows that it is a rare opportunity to create revenue and audience loyalty.
Additionally, the fact that demand for "Hannibal" has been increasing in recent months indicates that it could be a strategic asset for a streaming platform seeking to drive subscriptions and reduce churn. By using demand data to assess the value of its content library, a platform can determine the baseline value of a title and its ability to drive engagement across the rest of the catalog.
Moreover, demand data can inform scalable concept testing by highlighting which elements of an existing show are most popular with fans and can be optimized for success while production teams can consider what type(s) of content exhibit opportunity to acquire or produce. This information enables executives to make strategic acquisition and investment decisions that are driven by objective data, rather than subjective intuition.
Demand data also enables executives to determine the best pricing and release strategy for their content. For example, by analyzing the demand for "Hannibal" relative to the market average and assessing its global appeal, executives can identify the most effective release strategy that can maximize its value in the market.
Finally, using demand data can help executives to assess the popularity of their shows relative to the market average and to uncover new opportunity markets for content distribution. By comparing the performance of "Hannibal" on a 1 year rolling basis vs the last 30 days, executives can identify intriguing growth trends, and find inspiration for new monetization models or ideas for additional content.
In summary, demand data provides television executives with a powerful tool to help them make data-driven decisions about their content strategy and investments. By using demand data to assess the value of their content, predict audience engagement, and analyze performance trends, executives can confidently make decisions that will drive growth, profitability, and ultimately, creative excellence in the entertainment industry.
