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How Demand Data Can Drive Strategic Content Decisions: Case Study on Luther in Canada

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Parrot Analytics Insights - February 2024

As an entertainment executive, using demand data can help drive more informed and data-driven content decisions. In the case of "Luther" for February 2024 in Canada, demand data can be harnessed to help with several strategic decisions:

Content Valuation: Content valuation can use demand data to answer questions such as "how much is my show worth" and how is my series performing as an acquisition-driving or churn-reducing title?" For "Luther," demand data shows that it has relatively high demand in Canada, with 3.5 times the audience demand of the average show. In addition, the show has been increasing in popularity recently and experienced a 45.6% increase in audience demand during February 2024. The global Parrot Pulse for "Luther" rates its six dimensions positively, especially its worldwide audience demand, longevity, and momentum. This all implies "Luther" could be considered a strategic asset for a streaming platform or a TV series financing company looking for a series with good performance metrics, high viewership, and growing popularity.

Programming decisions: Since demand data can reveal the most popular genres in a particular market, it may be helpful as guidance for selecting genres to focus on when buying or producing content. For "Luther," the 95.7th percentile ranking in the drama genre for February 2024 shows that it has higher demand than 95.7% of all drama titles in Canada. Additionally, the list of other shows that fans of "Luther" enjoy could be used as a list of potentially similar titles to look for when programming.

Distribution decisions: If executives are looking to expand a show's distribution to another country or region, demand data can help reveal whether or not the show would work well in that market. Regarding "Luther," demand data indicates that the show has relatively consistent good demand in regions like the United Kingdom, the United States, and even China. The travelability score for "Luther" is good, and travelability quantifies a show's international demand relative to its home market. This suggests that "Luther" could do well in various territories.

Acquisition decisions: Demand data can help value content and estimate the ROI that a specific title can bring to the platform. For "Luther," the 45.6% increase in audience demand during February 2024 could imply viewership will continue to grow. However, while the show did achieve a peak demand that was 13.6 times the average over the course of the entire year, it only peaked at 5.0 times the average in the last 30 days. This suggests that executives should consider this decreased popularity when making acquisition decisions.

In summary, demand data can provide valuable insights into a show's popularity, its growth prospects, and its potential in various territories. Analyzing demand data for shows like "Luther" can guide executives when making decisions around content valuation, programming, distribution, and acquisition.

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