As an entertainment executive, using demand data can help you make informed decisions regarding content acquisition, distribution, and programming. To demonstrate this, let's use "Preacher" as an example.
Demand data can be used to assess the popularity of the show, its audience, and its audience's preferences. "Preacher" has a demand of 2.2 times the average show in Spain, and this level of demand is only present in 8.6% of all titles. "Preacher" ranks at the 96.0th percentile in the comedy genre in Spain in January 2024, which means that the show has higher demand than 96.0% of all comedy titles in Spain. With such a high demand, entertainment executives can use this information to determine the content's economic value.
The demand data can also be used to identify similar shows that "Preacher" fans also enjoy. This information can be used to determine which titles would potentially perform well on a platform, combined with audience demographics and preferences.
The data also reveals the TV series' longevity, which measures how well audience demand is maintained over time, with "Preacher's" longevity being outstanding. The momentum, the pace of growth, for "Preacher" is likewise good. Franchisability (spin-off potential) is good and its reach (the number of people expressing demand for a show) is outstanding. Using this information, entertainment executives can determine how to allocate their budget on content based on its franchise potential.
Furthermore, comparing the performance of "Preacher" on a 1 year rolling basis versus the last 30 days reveals some interesting insights about the popularity of the show. During the last 30 days, "Preacher" enjoyed significant growth, with its peak demand increasing by 56.2% compared to its average demand on a rolling year basis. This means that the show has gained popularity, and entertainment executives can use this information when deciding how best to program content.
Another use of demand data is for determining how well content will perform in different markets. For instance, examining the top 10 global markets where "Preacher" is most in-demand over the last 30 days shows that the show outperforms the demand of the average TV show in each of these markets - The United States is "Preacher"'s number one market globally, followed by the United Kingdom. Using such data, entertainment executives can target the right markets with their programming, increasing their chances of success.
Finally, the data can also be used to determine the most optimal release strategy and pricing for content. If "Preacher" had a new season, entertainment executives can analyze the spikes in demand and determine the best time to release the content to generate the most demand.
In conclusion, as an entertainment executive, demand data is a powerful tool that can provide crucial insights when making decisions concerning content acquisition, distribution, and programming. Using the example of "Preacher," we can see how demand data relates to content valuation and can help entertainment executives make more informed decisions. The data can be used to identify similar shows that audiences enjoy, assess the popularity of content, measure longevity, momentum, franchisability, and reach, and determine how well content will perform in different markets, among other insights.
