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Using Demand Data to Make More Informed Decisions in the Entertainment Industry: A Case Study of The Good Place in Brazil

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Parrot Analytics Insights - December 2023

In December 2023 in Brazil, "The Good Place" had a demand that was 3.6 times higher than the average show in Brazil, and only 8.6% of all TV shows have this level of demand. Comparing the show's demand against the average performance in the last 90 days shows that demand is increasing. The show also moved up by 431 spots in its rank in Brazil, reaching the peak rank of #656. Its high demand in the romance genre is evident, as it was ranked at the 97.6th percentile in that genre.

Demand data provides insights into how well a show is performing not only in a specific country, but globally. While it is significant to know about a particular show's popularity in its home market, it is crucial to understand its international demand as well. For "The Good Place," its worldwide audience demand is outstanding, and its travelability is good. Its longevity, measuring how well audience demand is maintained over time, is exceptional, and momentum, the pace of its growth, is growing and is good. The show's franchisability is outstanding, and its reach (the number of people expressing demand for it) is also exceptional.

The show's significant performance in Brazil indicates that it is resonating with Brazilians. Analysis of the show's top-performing countries can help in strategic programming decisions, including targeting promotions or potentially expanding distribution in those countries. Knowing the most popular shows that fans also watch alongside a specific show can provide insights into the genre or types of shows the viewers are interested in, which can help in acquisition decisions. For instance, you can note from the report that fans of "The Good Place" also like "The Mandalorian" and "Foundation." Such shows share a similar nature, and a potential subscriber who likes one of these shows will likely enjoy the other shows.

Content valuation is now shifting from the traditional methods to demand data. For instance, executives can use demand data to determine their content's value and estimate the ROI a specific title will bring for any given platform, which can help in decision making. By using demand data, executives can evaluate the ability of a TV series to drive subscriptions and minimize churn. They can also assess the value of exclusivity, among other things.

Demand data can be used in pre-release marketing, optimal release strategy, and pricing and discovering under-monetized titles. Demand helps with subscriber retention and leads to a better user experience by assisting with content discovery and recommendations. It can also help in mapping local whitespaces, quantifying taste clusters and providing insights into talent, franchisability, longevity and reach. By understanding the trends in audience demand, entertainment executives can make more informed decisions around content acquisition, distribution, programming, and valuation.

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