Demand data is key to making more informed content, acquisition, distribution, and programming decisions. Taking "Top Chef (FR)" for the month of December 2023 in France as an example, we can explore how the demand data can be helpful in answering some key strategic questions.
Using the content valuation system based on demand data, content producers and distributors can estimate the value of a TV series like "Top Chef (FR)" in the market. For instance, asking how much the show is worth, the answer using the demand data in France would suggest that the value of the show relative to the average TV show, as based on audience demand, is good. A TV executive can use this data to determine how much to spend on acquiring a content asset like "Top Chef (FR)" if they consider it for programming.
Demand data can also help in a region-specific audience targeting strategy. In the case of France, for example, top genres that resonated with the audience, which executives could focus on to attract new viewers, include reality shows. The demand data for "Top Chef (FR)" show that it is ranking at the 96.6th percentile in the reality genre category in December, which is an indication that executives can leverage the success of the reality genre to target their audience better.
Furthermore, demand data provides insights about the show's global performance, considering the six different dimensions, namely worldwide audience demand, travelability, longevity, momentum, franchisability, and reach. According to the Parrot Pulse for "Top Chef (FR)," the show has good demand worldwide and is in the 96.6th percentile in France. However, travelability, which quantifies international demand relative to the home market, seems low. Franchisability and reach are also identified as weak points for the show.
The demand data can also help executives to compare the show's performance on a 1-year rolling basis versus the last 30 days. The data for "Top Chef (FR)" shows a decrease in popularity in the last 30 days, compared to the last year. This information can be helpful in making strategic content decisions, such as adjusting the programming content based on audience demand fluctuations.
Finally, understanding the show's product journey, the number of seasons, and episode ratings can help executives make informed content decisions. For example, it is crucial to consider the show's current status, the latest season, and the airing date, which can help in program scheduling and distribution decisions.
In conclusion, demand data can help TV executives to make more informed decisions concerning content valuation, production, acquisition, distribution, and programming by providing insights into the audiences' preferences and trends. The Parrot Analytics' demand data system is a valuable tool for creating strategic solutions that can maximize audience engagement, increase market share, and enhance revenue streams in the entertainment industry.
