For television executives looking to make more informed content decisions, demand data provides critical insights that can guide strategic decision making. Many of the questions that executives face can be answered by leveraging demand data for specific TV shows like "Family Feud (US)."
Content Valuation:
Content valuation is one of the primary use cases of demand data. By examining the demand data for a specific show like "Family Feud (US)," executives can quantify the show's value, its contribution to a platform, and how it drives engagement across the rest of the catalog. Parrot Analytics content valuation system is based on demand data, and it reveals the dollar value contribution of any title, to any platform, in any region. With 19.6 times the audience demand of the average show in the United States over the last 30 days, "Family Feud (US)" is an outstanding performer on TV.
Subscriber Acquisition and Retention:
The demand data for "Family Feud (US)" also helps executives make decisions around subscriber acquisition and retention. By knowing the shows that current audiences like, executives can make more informed decisions about which titles to buy that will keep existing subscribers happy. Similarly, they can choose shows that have global appeal to attract new subscribers to the platform.
Franchisability and Spin-Off Potential:
Demand data helps in understanding the potential that TV shows possess. By analyzing the demand patterns of a series, executives can determine whether it can be developed in a franchise or for a spin-off. With its good franchisability score, "Family Feud (US)" has the potential to be further monetized by spinning off into other shows or franchises.
Optimal Release Strategy and Pricing:
Demand data also helps executives to optimize their release strategy and pricing. By examining the demand data pattern for "Family Feud (US)," executives can decide at what time and how much marketing resources to allocate to the show. They can also decide on what price to offer the show based on the demand levels.
Mapping Local Whitespaces:
Demand data also helps executives understand the most popular genre in their local market or any other country market. By looking at the top 10 global markets where "Family Feud (US)" is most in-demand over the last 30 days, executives can identify opportunities to acquire or produce shows that exhibit high demand values.
Comparing Performance:
Another use case of demand data is to compare the performance of a TV show against other titles available on the market. Executives can decide to acquire titles with more significant demand values than "Family Feud (US)" to improve their platform's quality or retain existing subscribers. Additionally, by comparing the performance of "Family Feud (US)" on a one-year rolling basis to its performance in the last 30 days, executives can determine if the show is gaining or losing momentum and whether it continues to resonate with the audience.
In conclusion, demand data analysis can help executives identify opportunities, assess TV series value, and make data-driven decisions to improve their platform's overall performance. The case of "Family Feud (US)" demonstrates how executives can leverage demand data to gain insights into the global performance of a TV show and make smarter acquisition, programming, and distribution decisions.
