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The Power of Demand Data: Making More Informed Content Decisions with a Case Study of 'MADtv'

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Parrot Analytics Insights - October 2023

As an entertainment executive looking for insights to make more informed decisions, you can rely on demand data to evaluate your content or distribution decisions. Analyzing "MADtv" for the month of October 2023 in the United States can provide some valuable insights on content evaluation and acquisition decisions.

Firstly, content valuation uses demand data to determine the worth of a TV series in various ways. Using demand data, executives can ask questions like: how much is my series worth? How much of my series' value is being driven by demand for one of its stars? And, what is the baseline value of a title? For example, the analysis of "MADtv" reveals that the show has demand 6.7 times higher than the average show in the United States over the last 30 days, showing good demand. Compared to its demand of 6.5 times the average over the last 90 days, demand for this show has been increasing recently. An executive can use this data to evaluate the show's value, and how it compares to other shows in its category.

Secondly, analyzing the demand data of "MADtv," executives can rely on the insights to improve their acquisition decisions. By looking at the audience's demand for the show and how it relates to other shows on the platform, executives can make decisions on what type of content to acquire or produce. For example, the analysis shows that "MADtv" ranks at the 96.7th percentile in the variety genre during October. This means the show has higher demand than 96.7% of all variety titles in the United States. Knowing that "MADtv" has been doing well in the variety genre, an acquisition team could search for other variety shows with similar demand to add to the platform.

Thirdly, understanding demand data can help entertainment executives improve their distribution decisions. Because demand data shows viewership trends and preferences, executives can identify what type of content to distribute where and when. In the case of "MADtv," the analysis shows that the United States is the show's largest market. The show achieved good audience demand of 1.9x in the United States. Executives could thus distribute the show more effectively by focusing on marketing efforts in the United States.

Finally, demand data can help executives improve their programming decisions by identifying the taste clusters and which elements of existing content fans like the most. By examining the top 10 markets where "MADtv" is most in-demand over the last 30 days, the analysis reveals that the TV series outperforms the demand of the average TV show (1x) in each of these markets. Based on this insight, executives can create programming plans and content for these markets that cater to the fan's taste cluster.

In conclusion, using demand data provided by Parrot Analytics can enable entertainment executives to make more informed decisions about their content, acquisition, distribution, and programming. By analyzing the demand data of "MADtv," executives can have a better understanding of their audience's preferences and make informed decisions about their business dealings.

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