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Using Audience Demand Data to Make Informed Content Decisions: A Closer Look at 'Dave'

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Parrot Analytics Insights - January 2024

As an entertainment executive, you always want to make the best content acquisition, distribution, and programming decisions. While some decisions might seem intuitive and straightforward, others require more insight and data. This is where demand data comes in. Understanding audience demand for a TV show can help decision-makers like you make more informed choices about programming content, acquiring titles, and distribution. For instance, Parrot Analytics content valuation system is an economic valuation system powered by global content demand and supply, helping executives understand the dollar value contribution of any title to any platform in any region.

Using the example of "Dave," we can illustrate how demand data informs content valuation. Parrot Analytics reveals that "Dave" has 7.4 times the audience demand of the average show in the United States over the last 30 days. This information indicates that "Dave" is a valuable TV show that attracts a lot of attention from viewers. Additionally, the fact that the show's demand has been increasing recently indicates a positive trend, which can be a critical factor for content acquisition and programming decisions. Thus, understanding "Dave's" audience demand data can help executives determine how much it is worth and how it can contribute to their platform's growth.

At the same time, demand data also helps executives understand audience tastes and preferences, which is crucial in content acquisition, distribution, and programming decisions. Parrot Analytics reveals that other shows that fans of "Dave" also like are "Rick and Morty," "Ted Lasso," and "Miracle Workers," among others. By comparing audience demand for similar shows, executives can better understand what content resonates with their audience and what can be a strategic asset for a streaming platform.

Lastly, demand data also guides executives in identifying opportunities for audience growth and optimizing marketing campaigns. For example, Parrot Analytics reveals that demand for "Dave" in the United States spiked in late January 2024, which can be attributed to any number of real-world or in-show events. Understanding these spikes can help executives adjust their marketing campaigns and optimize release strategies to build stronger connections with their viewers.

In conclusion, demand data is an essential tool for entertainment executives in making informed decisions regarding content acquisition, distribution, and programming. Using "Dave" as an example, we have shown how demand data can inform content valuation, help understand audience tastes, and identify opportunities for audience growth. By leveraging demand data, executives can make data-driven decisions that positively impact their platform's growth and success.

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