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Maximizing Decisions with Demand Data: A Case Study of 'King Of The Hill' in Canada

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Parrot Analytics Insights - January 2024

Demand data can be a powerful tool for entertainment executives when making informed content, acquisition, distribution, or programming decisions. In this article, we will examine how demand data can be used in conjunction with the analysis of "King Of The Hill", a popular TV series, in Canada during January 2024.

One way that demand data can be used is for content valuation. Entertainment executives can use demand data to determine how much a particular show or library is worth to a platform over time. For instance, the demand for "King Of The Hill" in Canada is 7.8 times the average demand of all TV shows and ranks at the 98.4th percentile in the family genre. This indicates higher demand than 98.4% of all family titles in Canada. Therefore, demand data can be used to determine the baseline value of a title or assess a TV series' ability to drive subscriptions and mitigate churn.

Demand data also helps in deciding on supply and demand issues. Entertainment executives can analyze demand data to determine the type(s) of content that exhibit opportunities to acquire or produce. Furthermore, demand data can be used to evaluate the popularity of similar shows to "King Of The Hill", such as "What We Do In The Shadows", "It's Always Sunny In Philadelphia", "Futurama", "Family Guy", "Rick And Morty", "Spongebob Squarepants", "South Park", "Fargo", and "Star Trek: Lower Decks". This information can inform decisions about future productions or acquisitions for the platform.

Demand data can also inform decisions about subscriber retention and acquisition. Entertainment executives can use demand data to determine the titles that should be purchased to keep the current audience happy or attract new subscribers to the platform. In the case of "King Of The Hill," the show outperforms the demand of the average TV show (1x) in each of the top ten global markets where it is most in-demand over the last 30 days. This information can help executives determine which platforms to target for content distribution.

Demand data enables competitive benchmarking, helping entertainment executives compare the performance of their content against other titles available on the market. This information can be used to determine how well a show held up since it premiered, what catalog content should be acquired to increase engagement and retain customers, or which content can rely on its sustained demand.

In summary, there are many questions that demand data can answer for entertainment executives. For instance: what type(s) of content exhibit opportunity to acquire or produce? How can you assess a TV series' ability to drive subscriptions and mitigate churn? How much global appeal does this title have in comparison with other titles in the genre? How popular is my show relative to the market average? Therefore, demand data can be used to help entertainment executives make more informed content, acquisition, distribution, or programming decisions.

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