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Maximizing Content Potential: Using Demand Data for Better Content Decisions - A Case Study of Bridgerton

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Parrot Analytics Insights - October 2023

As an entertainment executive, making informed decisions about content, acquisition, distribution, or programming can be challenging without the right data. Fortunately, Parrot Analytics provides a demand data-driven methodology to help you make data-backed decisions.

Let's take the example of "Bridgerton" to showcase how demand data can be used. According to the data in Canada in October 2023, the show had 4.2 times the audience demand of the average TV show in the country, ranking it in the top 8.6% of all TV shows. While the demand for the show has decreased over the last 90 days, it increased by a notable 32.2% in October. This signifies that while the show's performance may have been declining, there was a recent resurgence in demand.

Moreover, it's interesting to note that the show performed exceptionally well on a global scale. According to the Parrot Pulse, which measures global performance across six dimensions, "Bridgerton" had outstanding audience demand across all platforms worldwide, indicating its potential as a strong acquisition. Additionally, the show's high travelability score highlights its potential to do well in international markets. This data can inform a decision to distribute the show globally, especially in countries such as the United States and Russia, where the show performed with outstanding demand.

Furthermore, the show's above-average longevity and momentum suggest that it could have a continuing impact on viewers, making it a potentially attractive acquisition or investment opportunity. Additionally, the high ratio of franchisability further opens up opportunities for developing IP beyond the show itself, including spin-offs or licensed merchandise.

From a programmatic perspective, it's interesting to note the shows that fans of "Bridgerton" also like, including "Ted Lasso," "The Crown," and "Rick and Morty." Comparing what fans like provides insights into what might be popular with the audience, helping to create a more targeted programming strategy.

Moreover, looking at the show's peak demand over a rolling 1-year basis compared to the previous 30 days suggests that there was a spike in demand, indicating that this particular series may still have ongoing potential for success, despite a recent dip in popularity.

Lastly, content valuation can come into play when looking at the value of the show. Using demand data, the dollar value contribution of "Bridgerton" can be revealed, showing specifically how much the program is worth to a particular platform or network.

All in all, demand data can help entertainment executives make more informed decisions concerning content acquisition, distribution, or programming. "Bridgerton" serves as a valuable example of how demand data can inform acquisition and content decision-making, especially when it comes to its global potential, longevity, and engagement with audiences.

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