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Using Demand Data for Informed Content Decisions: A Case Study of 'Undercover Boss (US)'

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Parrot Analytics Insights - February 2024

Entertainment executives can take crucial decisions concerning content valuation, acquisition, distribution, and programming based on demand data. On that note, let's take a look at how demand data for "Undercover Boss (US)" in February 2024 in the United States can be used to make informed decisions.

Firstly, content valuation uses demand data to determine the dollar value contribution of any title to any platform in any region. Entertainment executives can use demand data to evaluate the worth of "Undercover Boss (US)" and calculate its ROI, which will help them make better acquisition decisions.

Secondly, this show has a good audience demand of 7.1 times the title average in the United States over the last 30 days, and its demand has increased by 15.8% in February. Entertainment executives can use this data to understand the current popularity of the show among audiences. Also, executives can compare the show's current demand with its performance over the last 30 days to comprehend the trend and make programming decisions accordingly.

Thirdly, entertainment executives can use demand data to evaluate if a TV series has the potential to drive subscriptions and mitigate churn. The demand data can also be used to assess audience retention and acquisition. Thus, executives can use information about a show's demand like the Parrot Pulse to understand the show's performance across dimensions like momentum and reach, which are vital to content valuation.

Fourthly, a show's demand data is useful for mapping local whitespaces to obtain insights on genres that resonate most with the audience in a particular market. This can be determined by examining the top 10 global markets, where "Undercover Boss (US)" is most popular over the last 30 days. For instance, in the United States, the show outperforms the demand of the average TV show by 4.6 times. Identifying genres that are popular in specific regions can help entertainment executives acquire or produce content with potential, and better meet the demands of their audience.

Lastly, entertainment executives can use demand data to make decisions concerning pre-release marketing and optimize the release strategy, which can enhance the show's performance by creating a buzz among audiences. Insights available from demand data like affinity analysis, reach, and momentum can help entertainment executives identify trends in audience taste clusters, and make informed decisions about marketing efforts, brand partnerships, and talent selection.

In conclusion, entertainment executives can use demand data from shows like "Undercover Boss (US)" to make more informed decisions about content valuation, acquisition, distribution, and programming. By analyzing the show's demand data, entertainment executives can identify shifts in audience demand, investment opportunities, local whitespaces in specific markets, and make strategic decisions accordingly while avoiding risks.

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