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Using Demand Data to Make Informed Content Decisions: A Case Study of 'The Magic School Bus' in the UK

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Parrot Analytics Insights - October 2023

As an entertainment executive, analyzing the demand data for "The Magic School Bus" can lead to a variety of insights and help make more informed content, acquisition, distribution, and programming decisions.

One possible application is content valuation, where the demand data can be used to estimate the dollar value contribution of the show to any platform in a specific market. By analyzing the demand data of the show in the United Kingdom over the last 30 days, we find that the show's demand is 2.5 times the average show in the country, a good indicator of its value.

The demand data can also help with programming decisions by identifying audience preferences and tastes. By analyzing the audience's interest in similar shows, "The Magic School Bus" can be positioned in a way that follows the trends of that market. Additionally, the show has higher demand than most comedy titles in the United Kingdom, which suggests that it has a broad appeal that could help attract subscribers to an SVOD platform.

The demand data can inform distribution decisions by helping to identify which platforms to target for the show's release. As "The Magic School Bus" has good travelability, its international demand relative to its home market is high. This indicates the potential for global SVOD expansion. Furthermore, by examining the top ten global markets for the show over the last 30 days, we find that it outperforms the demand of the average TV show in each of these markets, making it a strong contender for international distribution.

The demand data can also point to the need for content acquisition. As "The Magic School Bus" climbs the ranks in the United Kingdom, its demand has been increasing recently, indicating a growing audience interest in the show. This could signal an opportunity for a linear network or pay TV network to acquire the show and capitalize on its rising popularity.

Finally, the demand data can inform long-term content decisions, such as the potential for franchisability or spin-off potential. For "The Magic School Bus," we see that its franchisability is good, indicating potential for monetizing IP through spin-offs or franchises. Moreover, the show has an outstanding longevity, suggesting that it could remain popular for a sustained period, making it an attractive candidate for additional content development.

In conclusion, the demand data for "The Magic School Bus" provides valuable insights that can help entertainment executives make more informed content, acquisition, distribution, and programming decisions. By analyzing the demand data, they can identify audience preferences, position the show to follow existing trends, identify potential international markets, and assess its value and potential for additional content development.

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