As an entertainment executive, demand data can be used to make more informed decisions when it comes to content valuation and investment, programming, acquisition, and distribution. With the case of "The Masked Singer (US)" in Australia, we can draw insights that can help us navigate various aspects of our businesses.
To begin with, we can use demand data to estimate the value of "The Masked Singer (US)" to our platform. According to the analysis, the show has 7.7 times the audience demand of an average title in Australia, and it's in the 99.1th percentile in the reality genre. Such high demand indicates potential value for our platform, and we can use Parrot Analytics' content valuation system to calculate the economic contribution of the show to our platform in dollar value terms. The data can also help us determine the ROI we can expect from the show, assess its ability to drive subscriptions and mitigate churn, and even quantify the platform-specific marginal revenue contribution.
Demand data can be used to identify new trends and preferences of audiences. For instance, we can use the analysis to learn the most popular shows fans of "The Masked Singer (US)" also watch. This can be valuable for programming decisions, content acquisition, and even identifying potential areas of growth for our platform.
The data can also help us understand how well our content is performing both locally and internationally. We can use travelability scores, which measure audience demand for the show in its home country and in other markets, to determine areas where we can expand our audience. For example, "The Masked Singer (US)" has a travelability score of "okay," indicating potential for international growth.
Demand data can also help executives optimize their marketing campaigns. We can use the analysis to gauge the effectiveness of our pre- or post-premiere marketing campaigns compared to other shows. We can also use it to identify the most effective marketing channels and budgets for our campaigns.
Furthermore, demand data can help us make informed decisions regarding acquisition and distribution. By analyzing the show's performance in its top global markets and evaluating its potential for spin-offs and franchisability, we can make more strategic acquisition decisions. We can use the data to identify whitespace genres that exhibit potential for monetization and acquisition.
Finally, demand data can help us make decisions regarding subscriber retention and acquisition. We can use the analysis to determine which titles will keep our existing audience happy and engaged and which titles will appeal to new subscribers to our platform. To this effect, we can use the data to find new opportunities for content distribution and identify under-monetized titles for maximum impact.
In summary, demand data from Parrot Analytics can be used to help executives across the entertainment industry make informed decisions about content valuation and investment, programming, acquisition, and distribution. Through analyzing the performance of content like "The Masked Singer (US)" in different markets, we can gather valuable insights that can ultimately help us grow our businesses.
