As an entertainment executive, the demand data for "Antena 3 Noticias" in Spain can be used to make more informed content decisions. Firstly, the data can be used for content valuation to determine the worth of the show. Using demand data, the show's dollar value contribution to the platform can be revealed. Secondly, the data can inform programming decisions such as the best release strategy for the show and whether the show appeals to a large group of people or a dedicated point of fans.
Additionally, acquisition decisions can be influenced by demand data. Knowing how much the show is worth, content distributors and networks can decide to acquire or produce similar niche content that exhibits an opportunity for growth and satisfy the underlying demand. It can also help them understand whether a show has spin-off potential or franchise potential as the franchisability of the show can be measured using audience demand data.
The data can also help in making informed distribution decisions. For instance, comparing the show's demand data in different markets can inform the decision of where to target the distribution. It will also help in benchmarking the show against other titles available in the market, keeping the current audience satisfied and happy, while acquiring new subscribers. This demonstrates the show's ability to drive subscriptions, acquire new viewers, and mitigate churn.
Furthermore, demand data can help to identify the most popular genres in the local market, therefore the OTT or SVOD platform can focus on offering content that appeals to audiences in the specific location. In addition, it can be used in effective pre-release marketing to optimize the marketing campaign ahead of premiere. Finally, the demand data can help in identifying taste clusters, that is the things that existing viewers like about the show.
In summary, the audience demand data and analytics can help entertainment executives make data-driven decisions leading to an increase in demand for their content. It can inform content, acquisition, distribution, and programming decisions. By analyzing demand across multiple dimensions, one can identify performance trends over time, optimal release strategy and pricing, as well as the show's franchise and spin-off potential.
