As an entertainment executive, you have the opportunity to leverage Parrot Analytics' demand data to make more informed content, acquisition, distribution, and programming decisions. Let us take the Brazilian reality competition television series, "Drag Race Brasil," and examine the key insights from its performance in January 2024 nationally and globally:
1. Content Valuation: One of the most important uses of demand data is content valuation. Using Parrot Analytics' demand data, you can determine the dollar value contribution of any title to any platform in any region. In the case of "Drag Race Brasil," it achieved audience demand that is 16.9 times the Brazilian title average during the past 30 days. This indicates that the show is incredibly popular and should be considered a strategic asset for a streaming platform. By using demand data to calculate the show's ROI will enable you to assess how much to spend on content acquisition.
2. Global Appeal: Parrot Analytics' demand data allows you to value intellectual property (IP) on a global scale. Based on the performance of "Drag Race Brasil," the show has recently enjoyed outstanding audience demand and spike in popularity in Brazil, with demand increasing by 11.2% in January 2024. In addition, it also attracted high audience demand in other countries, such as Italy and Canada, among others. This highlights how demand data helps you pinpoint where a title is popular and where it may have potential to grow in relevance.
3. Platform-Specific Analysis: With Parrot Analytics' demand data, you can quantify a show's contribution to a particular platform's marginal revenue. By analyzing the demand for "Drag Race Brasil" across platforms and use of deep affinity and journey metrics, you can assess whether the show can drive subscriptions, reduce churn rate, and drive audiences to engage with other content on the platform. You can also investigate how a title drives engagement across the rest of the platform's catalog.
4. Fan Engagement: Audience demand data uncovers fan engagement patterns. For "Drag Race Brasil," this data indicates that the show's fans are also interested in other series like "Young Sheldon," "The Good Doctor," and other "Drag Race" spin-offs, among others. Granularized fan demand can reveal interesting insights into what the audience likes (or dislikes) about a series and can be used to inform future programming and marketing campaigns.
5. Discovery and Recommendations: Parrot Analytics' demand data can power discovery and recommendation engines. For a linear network or pay TV network, demand data helps identify the types of content that would be well-received by viewers in specific regions. For an SVOD platform, this data can help ensure that the right audience is seeing the right content, which thereby mitigates churn.
In conclusion, using demand data to examine the performance of "Drag Race Brasil" in Brazil and worldwide leads to a number of important insights that entertainment executives can use to make more informed and strategic decisions about the content they produce, distribute, and acquire. By leveraging Parrot Analytics' demand data, executives can assess the value of content, map local whitespaces, quantify the reach of their content, optimize release strategy, and determine the best talent or brand to partner with.
