As an entertainment executive of an OTT or SVOD platform, you should consider using demand data to determine which TV shows to add to your programming lineup. For example, examining the data of "The 100" in Australia over the last 30 days can provide valuable insights when making informed content decisions. With 3.8 times the audience demand of the average show in Australia, "The 100" has good demand in the region. Moreover, with demand decreasing by 3.4% in January, executives have to consider the current popularity of the show.
Content valuation is of utmost importance, and it relates to assessing the value of a TV series based on demand data. Parrot Analytics' content valuation system uses demand data to estimate the dollar value contribution of any title, to any platform, in any region. As a TV executive, you can use the demand data of shows like "The 100" to determine how much you should spend on the content.
Momentum, longevity, franchisability, and reach are some of the dimensions to consider when using demand data to inform content decisions. For example, examining the momentum of a show is crucial to determine its growth pace; from the data of "The 100," the show's momentum is outstanding. Longevity, on the other hand, assesses how well audience demand is maintained over time, and for "The 100", it is exceptional. Moreover, using demand data, you can examine the show's potential for spin-offs or franchising and how far it can travel. For "The 100," franchisability, and travelability are both outstanding, indicating untapped potential for future expansion.
Furthermore, you can use demand data to inform content acquisition decisions. By examining the top 10 global markets where "The 100" is most in-demand over the last 30 days, you can get a sense of the show's global appeal. According to the data, "The 100" outperforms the demand of an average TV show in each of these markets, indicating that it can travel and engage with audiences beyond national borders.
Demand data can further be used to assess distribution decisions. For instance, using demand data, you can quantify the platform-specific marginal revenue contribution of a title and understand how it drives engagement across the rest of the catalog. As an entertainment executive, you should target some platforms for distribution based on the performance of a show. When keeping up with the rapidly evolving audience preferences, using demand data can inform programming decisions such as, knowing which genres and shows are attracting and retaining subscribers, or identifying strategic assets for a streaming platform.
In conclusion, the demand data for "The 100" can be used to provide insightful details to entertainment executives and inform strategic planning. The insights generated by demand data aid in estimating the value of content and in deciding which shows to add to the programming lineup, to acquire, or to distribute. Therefore, executives should consider utilizing demand data to provide them with a competitive edge when it comes to content decision-making.
