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How Demand Data Can Help Entertainment Executives Make More Informed Content Decisions: A Case Study On 'Regular Show'

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Parrot Analytics Insights - January 2024

As an entertainment executive, leveraging demand data can help you make more informed content decisions. In particular, the demand data can be used to effectively assess content valuation for TV shows. For instance, take the analysis of Regular Show and how we can apply demand data to make strategic decisions.

Content valuation uses demand data to answer important questions concerning how much a series is worth, the extent to which a star's demand is contributing to the value of the series, and what value a content library adds to a platform over time. In this case, the demand for Regular Show is good, with a 5.9 times higher audience demand than the average show in Australia over the last 30 days, and only 8.6% of all TV shows have this level of demand. Additionally, its demand has been increasing recently, with a spike in late January 2024 in Australia. Based on this, we can build new insights surrounding the show's strengths and potential audience appeal, positioning it as a strategic asset for streaming platforms specifically catering to comedy enthusiasts.

By examining the show's performance across different genres, we can also understand how this information can be used to help with decisions concerning content acquisition, programming, and distribution. For instance, Regular Show has higher demand than 98.2% of all comedy titles in Australia, which means that networks targeting comedy genres can leverage this demand to optimize content acquisition and deep-dive programming decisions to appeal to audiences in that region.

Furthermore, by analyzing information on the audience trend over a year's rolling basis, we see an increase in demand by 3.5% in the last 30 days from its rolling year basis. This increase in demand indicates its popularity on the rise in the audience's eyes over time.

Demand data can also be used to find new opportunity markets for content distribution and uncover under-monetized titles. For instance, we find that Regular Show achieves outstanding audience demand of 9.1x in the United States, which is still the show's number one market globally. By better understanding these markets globally, it brings the opportunities of content expansion to light, helping executives allocate funds effectively and maximize future content investments for subsequent global SVOD expansions.

Overall, demand data is crucial in making informed decisions, from subscriber retention and acquisition to optimal release strategy and pricing. Regular Show is just one example of how demand data can be used to provide insights into a production's success and where this data can lead and provide direction in possible acquisitions, programming, or distribution decisions in the future.

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