If you are a TV executive, it is essential to be able to analyze audience demand data such as Parrot Analytics' demand data to make appropriate content, acquisition, distribution, or programming decisions. In this article, we will explore how Parrot Analytics' demand data can be used to assess the popularity and success of a show, using the example of "Fixer Upper" in January 2024 in the United States.
Firstly, content valuation can use demand data to answer questions such as "How much is my series worth, and what is the baseline value of a title," making demand data particularly relevant for content distribution and financing companies. Through Parrot Analytics' demand data, we can see that "Fixer Upper" has high demand in the United States, 7.7 times more than the average show, and that only 8.6% of all TV shows have this level of demand. This demand data can be used to demonstrate that "Fixer Upper" is a valuable series that can generate significant interest and revenue.
Demand data can also inform acquisition decisions by helping executives assess a series's ability to drive subscriptions or reduce churn. In the case of "Fixer Upper," we can see that its demand has been increasing recently, with an audience demand of 6.3 times the average over the last 90 days. The decrease in audience demand during January 2024 suggests that there may be room for network executives to acquire the series and reinvigorate its fan base, potentially leading to increased subscriptions and viewer engagement.
Moreover, demand data can be leveraged by programmers to make informed scheduling or release decisions. For example, the demand spike in late January 2024 for "Fixer Upper" could inform executives when determining the best time to air the series, while the analysis of the top 10 global markets where the show is most in-demand over the last 30 days could inform decisions around programming and marketing strategy. Content distributors, on the other hand, can use this data to assess the show's current popularity and value in specific markets, to determine if reruns or new seasons will be successful or not.
Finally, talent agencies can use demand data to identify which talent or genre to partner with to expand their client's audience. For example, Parrot Analytics' demand data shows that fans of "Fixer Upper" also like "Bahamas Life," "Beachfront Bargain Hunt," and "Love It Or List It," which may inform decisions around partnerships between the shows or talents.
In conclusion, Parrot Analytics' demand data is a powerful tool for TV executives, which can be used in a range of contexts to inform content, acquisition, distribution, or programming decisions. Through the example of "Fixer Upper" in January 2024 in the United States, we demonstrated how demand data can inform content valuation, acquisition, distribution, programming, and talent decision-making. Gathering and analyzing the audience demand data for a particular series is essential for making informed decisions.
