If you're an entertainment executive looking to make informed content decisions, then analyzing demand data such as the example of "The Sopranos" in Brazil can be beneficial. With an exceptional audience demand of 13.9 times the average Brazilian title, the show provides an example of how demand data can be used to help make better content acquisition, distribution, and programming decisions.
By looking at the demand data, executives can determine how much a show is worth and how much of its value is driven by demand. This data can also reveal what genres are most popular in each market, helping to cater to local audience preferences. Moreover, executives can value the SVOD service's content library over time and determine the baseline value of a title, further rationalizing their content investment.
Additionally, using demand data, executives can calculate the ROI a show will bring and assess the show's ability to drive subscriptions and mitigate churn. By keeping up to date with audience demand, the executives can determine what titles are maintaining their audience and which may need to be replaced.
Moreover, executives can identify what genres are resonating the most with their current audience, which genres they should focus on, and what titles should be acquired to increase engagement and retain customers. They can also analyze the show's performance on a 1-year rolling basis vs. specific time periods to understand trends and take appropriate actions.
By examining "The Sopranos" in Brazil, executives can also determine where the show is most in-demand globally and compare this with how it is performing in different regions such as the United States, the United Kingdom, Canada, Australia, Russia, Serbia, Sweden, Netherlands, and Ireland.
Overall, using demand data can help entertainment executives make better decisions about content acquisition, distribution, and programming strategies. With the changing dynamics of the content industry, relying on demand data can help to ensure that the decisions made are data-driven and less likely to result in failure.
