As an entertainment executive, you are constantly looking for ways to make more informed content decisions, acquire or distribute content, or make programming decisions. One tool that can help you in this regard is demand data. It can provide valuable insights into audience preferences, show popularity, and trends.
For instance, take the example of "Humsafar," a Pakistani TV show that was aired in India. Using demand data, we can observe that the show had 5.0 times the audience demand of the average show in India over the last 30 days, indicating good demand. We can compare this with other shows to benchmark the show's popularity and make informed content valuation decisions. This information can aid decision-makers in acquiring content because it tells them how much a show is worth and how much it will contribute to their platform.
In addition, the show's movement in rank can also provide insights into its popularity. For example, in January 2024, "Humsafar" moved up in rank by 10 spots in India. This is a good indication of the show's popularity and momentum, and executives can use this information to develop their programming strategies.
Demand data also allows executives to identify other shows that viewers of "Humsafar" may be interested in, equipping them with helpful insights to make acquisition or programming decisions. Similarly, demand data can also provide valuable information about the show's performance in different international markets, its travelability, which can help with distribution decisions.
For instance, "Humsafar" had outstanding audience demand of 5.0x in Pakistan, its country of origin. This can indicate that the show has strong potential to travel globally and perform well in different international markets. While this may not be the case for every show, this information can guide content acquisition decisions and aid with the creation of distribution strategies.
Likewise, the tool can help with subscriber retention and acquisition. For example, executives can use demand data to determine which titles they should acquire to keep their current audience satisfied and also which titles can attract new subscribers to their platform. They can also analyze audience demand to inform a show's marketing campaign ahead of its premiere.
In conclusion, demand data remains a strategic analytical tool that can help executives in making data-driven decisions related to content valuation, acquisition, distribution, programming, subscriber retention, and acquisition. By analyzing audience demand fluctuations and other insights provided through demand data, executives can make more informed decisions about their content investments, distribution strategies, and programming decisions.
