As a TV executive, it is important to make informed decisions related to production, acquisition, distribution, and programming that will maximize success and minimize risk. Demand data from Parrot Analytics can be a valuable tool in achieving this goal. In this article, we will use the show "Duncanville" to illustrate how demand data can be leveraged to provide insights that aid in content decisions.
One valuable use of demand data is content valuation. A TV executive can use the Parrot Analytics content valuation system to determine how much a title is worth to a particular platform in a specific region. Using the example of "Duncanville," we can see that the show has above-average demand in the United States, with 3.4 times the audience demand of the average show over the last 30 days. This level of demand places "Duncanville" in the top 8.6% of all TV shows. An executive can use this information to value the show and consider whether it is a good investment for their platform.
Demand data can also be used to inform acquisition decisions. An executive can review the audience demand for "Duncanville" and compare it to other titles to determine how it performs in its genre. For example, "Duncanville" has higher demand than 88.5% of all comedy titles in the United States, indicating that it is a popular show in its genre. In addition, executives can look at the top 10 global markets where the show is most in-demand to determine which regions may be worth investing in. In this case, France is "Duncanville"'s number one market globally, and the show achieved good audience demand there.
Furthermore, demand data can help with programming and distribution decisions. The audience demand for "Duncanville" decreased over the course of November 2023 by 36.4%, indicating that the executive may want to look at ways to boost the show's audience demand. Additionally, the Parrot Pulse analysis shows that the show has poor travelability, indicating that it may not perform as well internationally as it does domestically. An executive can use this information to determine their distribution strategy and consider whether international markets are worth investing in.
Lastly, demand data can be used to identify the show's potential for franchisability and reach. For "Duncanville," the show's franchisability or spin-off potential is poor, but its reach or the number of people expressing demand for the show is okay. An executive can use this information to determine whether to invest in related content or merchandise to increase the show's reach.
In conclusion, demand data is a valuable tool for TV executives working in various areas of the industry. It can be used to make more informed content, acquisition, distribution, and programming decisions. By examining the audience demand for "Duncanville," we can see how demand data can be leveraged to achieve optimal outcomes in each of these areas.
