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The Power of Demand: How Audience Data Can Help Entertainment Executives Make Informed Content Decisions

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What is Demand? Why Demand? Industry Products Insights
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Parrot Analytics Insights - October 2023

As an OTT platform executive, there are several ways you can use demand data to make more informed content decisions. You can use Parrot Analytics’ content valuation system, which is based on demand data, to determine a show’s worth, estimate ROI, and identify if it's a strategic asset for your platform. Using demand, you can determine the content that is most popular in different markets and which types of content will help support your global expansion plans.

Using the example of "Touche Pas À Mon Poste !" in Canada during October 2023, you can see that the show is performing well with 2.1 times the audience demand of the average show in Canada over the last 30 days. This information can help you make acquisition decisions- you might consider acquiring similar talk-show titles that have high audience demand if you want to grow your platform’s audience.

You can also use demand data to determine optimal release strategies and pricing. For instance, the spike in audience demand in Canada for "Touche Pas À Mon Poste !" in early October 2023 indicates that it might have been due to a specific release strategy or pricing introduction. You may want to explore price elasticity if you are unsure how to price content for a particular market or genre.

Demand data can help you evaluate a show's global performance across six dimensions, which includes the audience demand across all platforms, travelability, longevity, momentum, franchisability, and reach. For instance, "Touche Pas À Mon Poste !" ranks at the 96.7th percentile in the talk-show genre, and it's performing well in international markets such as Switzerland and Belgium, which can inform content distribution decisions.

Finally, comparison of a show's performance on a 1 year rolling basis versus the last 30 days can reveal insights into its popularity trends. "Touche Pas À Mon Poste !" is an excellent example that shows how demand data can help distinguish between a show's long-term success and its recent popularity.

Overall, utilizing demand data can help you make data-driven content decisions that are more likely to resonate with your audience and grow your platform.

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