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The Power of Demand Data: How Parrot Analytics' Analysis of 'Grimm' Can Inform Your Entertainment Decisions

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Parrot Analytics Insights - August 2023

As a television executive, one of your main concerns is understanding audience demand. With the help of demand data, you can make more informed content, acquisition, distribution or programming decisions. To illustrate how demand data can be used to inform decision-making, let us take the example of the TV show "Grimm".

Firstly, demand data can be used for content valuation by revealing the dollar value contribution of any title to any platform in any region. For instance, by analyzing the demand for "Grimm", we can see that it has 10.4 times the audience demand of the average show in the United States over the last 30 days, indicating that it has higher value compared to other titles.

Secondly, demand data helps in making informed programming decisions by understanding what type(s) of content exhibit opportunity to acquire or produce. By analyzing the demand profile of "Grimm", we can see that it is a popular show that has been received positively by the audience in the United States, as well as globally, which suggests that it could potentially be a successful acquisition for any platform.

Thirdly, demand data assists in subscriber acquisition by identifying which titles should be acquired to grow the audience. As the demand for "Grimm" has increased by 21.1% during August in the United States, this demonstrates that "Grimm" has the potential to attract new subscribers to any streaming or pay TV platform.

Fourthly, demand data facilitates optimal release strategy and pricing by analyzing audience demand at different regions. By examining the top 10 global markets where "Grimm" is most in-demand over the last 30 days, we find that the show outperforms the demand of the average TV show in each of these markets, which could inform an optimal release strategy for the show in different regions.

Fifthly, demand data is useful for competitive benchmarking by comparing one show’s performance against other relevant titles. In the case of "Grimm", it is doing well compared to other drama titles in the United States, as it ranks at the 97.1th percentile in the drama genre in August.

Finally, demand data can help to identify potential travelability of a show, providing valuable insights for distribution decisions. For "Grimm", we can see that its travelability – a show's international demand relative to its home market - is good, which indicates that it has potential to succeed in international markets as well.

To summarize, demand data can be leveraged by television executives to make more informed content, acquisition, distribution and programming decisions. As demonstrated by the analysis of "Grimm", demand data can provide insights on content valuation, programming decisions, subscriber acquisition, release strategy and pricing, competitive benchmarking, and travelability, and ultimately help executives create more successful content portfolios.

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