As an entertainment executive at an OTT or SVOD platform, you need to make informed decisions about content acquisition, content distribution, and programming to maximize audience engagement and retention. One way to achieve this is by leveraging demand data, which can provide valuable insights to help you understand audience preferences, identify global trends, estimate the value of content, and optimize release strategies and pricing.
For example, let's consider "Queen Charlotte: A Bridgerton Story," a prequel to the popular Bridgerton universe. Over the last month in Italy, the demand for this show has been good, with 2.6 times the audience demand of the average show in the country. This information could be used to determine the monetary value of the show relative to the average show in Italy, and could inform content valuation across other markets too. The fact that only 8.6% of all TV shows have this level of demand could be used to determine how the show compares to other titles that have high demand in Italy or beyond.
Additionally, the demand for "Queen Charlotte: A Bridgerton Story" has been increasing recently, which suggests that the series could be growing in popularity and that it may warrant more attention in Italy. This trend could be monitored over time to determine whether the show has staying power, or whether audience interest will begin to decline.
Moreover, "Queen Charlotte: A Bridgerton Story" has a strong performance on the Parrot Pulse system across six dimensions, which includes worldwide audience demand, travelability, longevity, momentum, franchisability, and reach. The show's strong performance in these dimensions could be used as a predictive measure of whether the show will be successful in other markets.
Ultimately, the insights from demand data could be used to inform the decision-making process for upstream players such as entertainment talent agencies or TV production companies. For example, understanding how much global appeal a title has in comparison with other titles in the genre could help with programming decision-making, or could inform content acquisition strategies for distribution and monetisation in different regions. The data could also reveal new opportunity markets for content distribution which could prove valuable.
In conclusion, demand data offers rich insights that can be harnessed by entertainment executives at every stage of the content lifecycle, from content acquisition and distribution to programming. By leveraging demand data, you can optimize release strategies and pricing, maximize audience engagement and retention, and monetize content libraries more effectively.
