If you are working in the entertainment industry, demand data can help you make more informed content, acquisition, distribution, and programming decisions. The case of "MeatEater" for the month of July 2023 in the United States is an excellent example of how demand data can be used to understand audience preferences and guide strategic decision-making. Here are some of the questions that demand data can answer and insights that can be gleaned from "MeatEater" data:
- Content valuation: How much is my show worth? Demand data can be used to calculate the value of each title in the company's library. "MeatEater" has a high level of demand, indicating that it is a strategic asset that can drive subscriptions and lower churn rates.
- Global audience preferences: What content is popular on a global scale? "MeatEater" data shows that this TV series has high demand across different countries. This information can be used by executives to evaluate the show's performance against other titles and consider whether to invest more resources in international distribution.
- Travelability: Which shows have the potential to travel well and what markets offer the best opportunities for expansion? "MeatEater" has good worldwide audience demand and is doing well in countries like Germany and Australia. Travelability data can be used to plan content acquisition and distribution strategies that maximize international appeal and reach.
- Franchisability: Which shows have the potential to be turned into spin-offs or franchises? "MeatEater" has poor franchisability, indicating that it might not be the best candidate for a spin-off. However, executives can use this information to identify other titles in the company's catalog that may have spin-off potential.
- Longevity: How well is a show holding up over time? Demand data shows that "MeatEater" has good longevity, meaning that audience demand is maintained over an extended period. This insight can be used to make informed decisions about renewals and cancellations and to identify catalog content that can drive engagement and retain customers.
- Reach: How many people are expressing demand for a show and is it attracting new audiences? "MeatEater" has okay reach, meaning that while it has a dedicated fanbase, it may not appeal to a wide group of people. Still, demand data can be used to identify audience segments that are interested in the show and target marketing efforts accordingly.
- Content testing and discovery: What elements of existing content do fans like the most, and how can an upcoming production be optimized for success? "MeatEater" data shows that fans of the show also like other titles in the documentary, reality, and drama genres. This information can be used to identify patterns in audience preferences and to inform production choices.
In summary, demand data provides valuable insights into audience preferences, content valuation, and other key indicators that can inform strategic decision-making across the entertainment industry. The case of "MeatEater" illustrates how demand data can be used to make more informed content acquisition, distribution, and programming decisions that maximize audience engagement and retention.
