As an entertainment executive, understanding audience demand is a crucial aspect of making informed content decisions. By analyzing demand data for a TV show like "Kin (2021)", we can gain insights into how it is performing in different markets and make better decisions when it comes to content valuation, acquisition, distribution, and programming.
One such way is to use demand data to quantify the platform-specific marginal revenue contribution and how a title drives engagement across the rest of the catalog. This helps determine how much to spend on content and the ROI a specific title will bring for any given platform. For example, Parrot Analytics content valuation system, which is powered by global content demand and supply, reveals the dollar value contribution of any title to any platform in any region. By leveraging demand data, we can also assess a TV series' ability to drive subscriptions and mitigate churn, thereby helping with subscriber retention and acquisition.
Another way demand data helps with decision-making is by mapping local whitespace. This enables us to identify the most popular genres in a local market and determine which types of content exhibit opportunity to acquire or produce. For instance, if we find that there is high demand for crime dramas in Germany, it may be worthwhile to produce a new show or acquire a popular existing show in that genre to cater to the local audience.
Demand data also helps with competitive benchmarking, enabling us to compare the performance of a show like "Kin (2021)" against other titles available on the market. We can leverage this information to identify where our content stands in the broader market and make necessary adjustments.
Moreover, demand data quantifies taste clusters and powers discovery and recommendations, helping our content to reach the right audience. We can use this information to optimize our marketing campaigns ahead of premiere and understand which TV shows, talents, or brands are best to partner with to expand our audience.
For example, examining the data on "Kin (2021)" reveals that the show's demand in Germany has increased by 69.5% in January, with an audience demand that is 2.6 times the average show in the region over the last 30 days. The show's peak rank in Germany was #742, and it moved up in its rank by 1841 spots during January. The show's demand is higher than 95.0% of all drama titles in Germany, and it outperforms the demand of the average TV show in every market where it is most in-demand over the last 30 days. Furthermore, the show's demand in its home country of Ireland is good, indicating its popularity there.
Overall, demand data is a powerful tool that can help entertainment executives make more informed content decisions. From content valuation and acquisition to distribution and programming, leveraging audience demand data enables us to make better, more data-driven, and ultimately more successful decisions.
