As an entertainment executive, you want to make sure that your content acquisition and distribution decisions align with audience demand. Fortunately, with demand data, you can make informed decisions about your content portfolio. Using the example of "Regular Show" in Turkey in January 2024, we can illustrate how demand data can be applied to make better content, acquisition, distribution, and programming decisions.
First, let's tackle content valuation. Parrot Analytics uses global audience demand data to measure the dollar value contribution of any title, for any platform and in any region. We can use this demand data to determine how much a particular title is worth. For example, "Regular Show" has 5.8 times the audience demand of the average show in Turkey, and it is in the 99.1th percentile in the animation genre in January. These high demand figures indicate that the show is valuable, and based on the show's performance, it would likely be a worthy investment. Using demand data, we can also estimate cannibalization of audiences if a title is available on multiple services and obtain insights into a title's ability to drive subscriptions and reduce churn.
We can also use demand data to make acquisition decisions, such as deciding whether to acquire the rights to a particular show. With "Regular Show," we see that it has achieved outstanding audience demand across many global markets, such as the United States. Its demand has decreased in Turkey by 28.6% in January, but demand spiked in late January 2024. By analyzing the top 10 global markets for "Regular Show," we can see that it performs better than the average TV show. By considering the show's travelability—the international demand for a show—we can assess the show's global performance, which will be useful when making decisions about acquiring or distributing the show in global markets.
Programming decisions are also essential for TV executives. By leveraging demand data, "Regular Show" can be compared against other similar shows in Turkey and globally. For example, we can see that the show outperforms the demand of the average TV show in every global market, and only 8.6% of all TV shows have a higher demand than "Regular Show." These statistics can be useful in determining the scheduling and programming decisions for a TV network.
Lastly, we can use demand data to make distribution decisions. By analyzing audience demand across different markets, and comparing demand data against other similar shows, we can decide which market to target for distribution. In the case of "Regular Show," the USA ranks first globally, followed by South Africa and then other countries like Canada, Germany, the UK, Brazil, and Australia. This data can help executive decide which markets to focus on when distributing the show's content.
In conclusion, demand data is a valuable asset when making content, acquisition, distribution and programming decisions for entertainment executives. By analyzing the demand data for titles like "Regular Show," we can assess a title's financial worth, make informed acquisition and distribution decisions, and decide where to target content for optimal success.
