As an entertainment executive, using demand data can help you make informed content decisions for your platform. By examining a popular show like "Erkenci Kuş" over the course of a month, we can see how valuable demand data can be in determining what type of content to consider for acquisition or distribution.
One way demand data can be used is for content valuation. By analyzing the demand data for "Erkenci Kuş" in Spain over the last 30 days, we can see that the show has 10.0 times more audience demand than the average show in Spain. This is an outstanding level of demand, and only 2.7% of all TV shows have this level of demand. Additionally, the show achieved the peak rank of #74 in Spain, indicating that it is highly valued by audiences.
We can also use demand data to understand the genre-specific demand for a show. In October, "Erkenci Kuş" ranked at the 99.6th percentile in the romance genre in Spain, meaning that it has higher demand than 99.6% of all romance titles in Spain. This demonstrates a high level of interest in the romance genre for Spanish audiences and could indicate a need for more romance content on the platform.
Demand data can also help us understand the potential reach of a show. For example, the Parrot Pulse for "Erkenci Kuş" across six dimensions shows that the show has good franchisability and reach. Additionally, the show's demand has increased by 6.5% in Spain during October, indicating that it is still growing in popularity.
We can also examine how "Erkenci Kuş" is being received in other global markets. By understanding the show's performance across multiple markets, we can see where it may perform well on our own platform. For example, "Erkenci Kuş" outperforms the demand of the average TV show in Turkey and Portugal. With this information, we can make informed decisions about where to prioritize the distribution of this content.
Finally, demand data can help us make optimal release strategies. Declines in demand can indicate the tangible need for additional marketing spend to reignite interest in the show. In the case of "Erkenci Kuş," while the show has maintained good longevity over time, demand spiked in late October 2023 in Spain, which could inform the optimal release timing for similar genres or shows in the future.
In summary, demand data can help us answer important questions about content valuation, genre-specific demand, potential reach, and optimal release strategies. By leveraging this data, entertainment executives can make informed decisions about what content to acquire, produce, or distribute on their platforms, ultimately leading to more successful outcomes.
