Are you looking to make informed content acquisition, programming, and distribution decisions? Look no further than demand data. For example, take "Good Trouble" in France during January 2024. With 10.3 times the audience demand of the average show in France over the last 30 days, demand for "Good Trouble" is outstanding, placing it in the 2.7% of all TV shows with this level of demand. Beyond knowing the overall demand for a show, demand data can also help entertainment executives determine if a show's popularity is increasing or decreasing over time. In this case, demand for "Good Trouble" has been increasing recently due to the fact that it achieved 6.4 times the average demand over the last 90 days.
Demand data can also help executives understand how a show performs in a specific genre compared to others. For example, "Good Trouble" ranks at the 99.7th percentile in the romance genre in France. It means that "Good Trouble" has more audience demand than 99.7% of all romance titles in France. Knowing a show's rank in its specific genre helps executives to understand its competitive landscape.
Besides genre rankings, demand data also provides executives with insight into what other shows fans of a particular show also watch. For example, other shows that fans of "Good Trouble" in France during January 2024 also like are "Bob's Burgers", "Survivor", and "Billions". Such data provides insights into a show's audience and what else they may be interested in watching.
Moreover, demand data provides an independent measure of the TV series' global performance across six dimensions, one of which is travelability that measures a show's international demand relative to its home market. In the case of "Good Trouble", its worldwide audience demand across all platforms is good, and its travelability is also good as it had 65% of the demand in France compared to its country of origin, the United States.
Additionally, executives can use demand data to evaluate a show's potential longevity, which measures how well audience demand is maintained over time. For "Good Trouble", its longevity is outstanding. Its momentum is also significant, indicating the pace of growth of its demand over time. Franchisability is another vital aspect of a show's value that demand data tracks. In the case of "Good Trouble", its spin-off potential is good. Finally, its reach, the number of people expressing demand for a show, is also outstanding.
Demand data also facilitates comparison of a TV show's performance on a rolling year basis versus the last 30 days. In the case of "Good Trouble", it received a 10.7x peak demand rating on a rolling year basis compared to a 11.2x rating during the last 30 days. This signals that the show has experienced an increase in popularity in France.
In closing, demand data provides entertainment executives with valuable insights that can guide them in making more informed content acquisition, programming, and distribution decisions for maximum profitability. From evaluating a TV series' overall demand and audience, to examining its performance in a specific genre, or its potential to translate into spin-offs, demand data provides executives with the insights necessary to make informed decisions.
