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Using Demand Data to Drive Smart Content Decisions: The Case of 'Star Trek: Discovery' in France

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Parrot Analytics Insights - January 2024

If you are an entertainment executive, Parrot Analytics' demand data can help you with your decision-making processes. Let's take "Star Trek: Discovery" in January 2024 in France as an example. The show has an outstanding demand of 11.2 times the average show in France over the last 30 days. By using this demand data, it is possible to optimize content decisions to extract maximum value.

Content Valuation:
One of the key benefits of demand data from Parrot Analytics is that it can drive content valuation strategies. Content valuation leverages demand data to help executives understand how much a title or a library of content is worth. In the case of "Star Trek: Discovery," its impressive demand of 11.2 times the average show could be used to estimate its value for a given platform or in a specific region.

Supply & Demand:
Another use of demand data from Parrot Analytics is in driving supply and demand decisions. Demand data provides insight into the popularity of shows and helps executives discover what types of content their audiences are looking for. For instance, "Star Trek: Discovery" ranks highly in the drama genre in France and has higher demand than 99.3% of all drama titles in France. By examining shows that the fans of "Star Trek: Discovery" prefer, executives can determine which types of content would resonate with their audiences.

Subscriber Acquisition and Retention:
Demand data is valuable in attracting and retaining customers. In the case of "Star Trek: Discovery" in France, demand increased by 27.9% in January 2024, indicating that the show is resonating with the French audience. For executives looking to grow their audience, Parrot Analytics' demand insights can help determine which titles to acquire or produce. Similarly, for those looking to keep their current audience happy, they can choose to invest in shows that have sustained demand and require less marketing spend.

Optimal Release Strategy and Pricing:
Demand data is also useful in determining optimal release strategy and pricing. With demand data, executives can learn when demand spikes occur, as happened for "Star Trek: Discovery" in mid-January 2024. By understanding when these spikes occur, the show can be released at a time when it will garner the most audience engagement, potentially generating greater revenue for the platform it is on.

Franchisability:
Demand data also provides insights into the spin-off potential of a show. In the case of "Star Trek: Discovery," its franchisability is outstanding, according to Parrot Analytics. By maximizing the franchise potential of shows, executives can generate additional revenue streams and capitalize on their audiences' appetite for related content.

In conclusion, Parrot Analytics' demand data can be a vital tool in driving content and acquisition decisions, distribution strategies, and programming decisions for entertainment executives. By leveraging data on demand and supply, subscriber acquisition and retention, release strategies, franchise potential, and content valuation, executives can make more informed decisions that can ultimately drive growth and profitability for their organizations.

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