As entertainment executives, demand data is essential to make more informed content, acquisition, distribution and programming decisions. Let's use the example of the TV series "Quantum Leap (1989)" to illustrate the usefulness of demand data in decision making.
Content valuation is an important aspect of entertainment executives' decision-making process. Demand data is used to determine how much to spend on content and to calculate the ROI a specific title will bring for any given platform. Parrot Analytics' content valuation system is based on demand data and reveals the dollar value contribution of any title, to any platform, in any region. In the case of "Quantum Leap (1989)", demand for the show has been increasing recently, with 4.6 times the audience demand of the average show in the United Kingdom over the last 30 days. This indicates that the show has good demand and can be valuable in content valuation.
Demand data can be used to inform acquisition decisions, such as what type(s) of content exhibit opportunity to acquire or produce. Executives can leverage demand data to determine the value of a content library to a platform over time. In the case of "Quantum Leap (1989)", the show has outstanding longevity with higher than average demand maintained over an extended period of time, indicating its value as content.
Distribution decisions can also benefit from demand data. For example, demand informs the platform and network fit. This indicates which platforms executives should target for distribution of their content, based on demand data. The demand data for "Quantum Leap (1989)" shows that it was more in-demand in the United States (where it achieved outstanding audience demand), closely followed by the United Kingdom and then Canada. Understanding this level of popularity in different countries can help executives make informed geographic distribution decisions.
Programming decisions can also be influenced by demand data. It allows executives to assess how a TV series is performing as an acquisition-driving or churn-reducing title. Using demand data, executives can assess a TV series' ability to drive subscriptions and mitigate churn. In the case of "Quantum Leap (1989)", audience demand for the show has increased in the United Kingdom by 3.5% in October. This may inform programming decisions on whether to bring the show back or not.
Additionally, demand data enables producers to gauge the potential success of the upcoming season of a series, or to estimate the cannibalization of audiences if a title is available on multiple services. It can also be used to uncover under-monetized titles and to answer questions like how popular is my show in this market or any other market in the world. Demand helps with subscriber retention and acquisition, and enables optimal release strategy and pricing.
In summary, demand data is an essential tool for entertainment executives. It can be used for content valuation, acquisition decisions, distribution strategy, programming decisions, and market analytics. Using the example of "Quantum Leap (1989)", executives can see how understanding audience demand data can lead to more informed and successful decision-making when it comes to their content strategy.
