Are you looking to make informed content or acquisition decisions for your SVOD platform or network or production company? We can help. By using demand data, you can gain insights and make more informed decisions. Let's take the example of "Flea Market Flip," a reality TV series about refurbishing and reselling items purchased at a flea market.
Demand data can help you to calculate the dollar value contribution of the title to your platform, which can help you to make more informed content valuation decisions. With demand being 3.0 times the average show in the US over the last 30 days, "Flea Market Flip" has high demand that is increasing. Furthermore, the show has ranked at 92.0% percentile in the reality genre, which is highly commendable. However, the show dropped in rank by 855 spots during December in the US.
Demand data also enables you to compare the performance of a show on a rolling year basis versus the last 30 days, which can help you to identify trends and fluctuations in popularity. For instance, "Flea Market Flip" achieved peak demand of 4.4 times the average over the entire year. This increased to 4.6 times the average in the last 30 days, indicating increased popularity. The show’s average demand on a rolling year basis was 1.7 times the average title compared to 3.0 times the title average for the last 30 days.
Additionally, demand data can help you to assess the show’s travelability, which measures international demand relative to its home market, which in turn helps to target global SVOD expansion. For instance, "Flea Market Flip" has a poor travelability measure but has a good audience demand measure, particularly in the United States and Canada.
Recognizing fans of the show, you can identify similar shows that viewers enjoy. In this case, viewers of "Flea Market Flip" are also interested in shows such as "House Hunters Renovation", "Home Town", "Flipping 101 With Tarek El Moussa", and "Good Bones". By creating a network in this way, you can utilize demand insights to increase viewer retention.
The questions answered by demand data include but are not limited to what type of content should be acquired or produced? What is the value of a show or content library for my platform? How popular is a show relative to the average? What are the most popular genres in a given local market? With demand data, you can make informed decisions about content acquisition, production, valuation, and which platforms to target for distribution of the content, among other decisions.
