If you are an entertainment executive, how can you use the insights and data provided by Parrot Analytics to inform your content decisions?
First and foremost, you can use demand data to determine the popularity of a show and its potential value to your streaming platform. For instance, "Dickinson" has 7.4 times the audience demand of the average show in the United States over the last 30 days. It falls within the 97.9th percentile in the romance genre, which indicates high demand.
Additionally, understanding the change in demand over time can provide important insights. For "Dickinson," demand has been decreasing recently. Although the show has relatively good global performance across six dimensions, it's important to take note of this trend. You may want to investigate whether seasonal or other factors could have contributed to the decrease in demand.
You can also use demand data to determine content acquisition strategies. By examining the top 10 global markets where "Dickinson" is most in-demand over the last 30 days, you can identify regions where it performs well. For example, in Brazil, the show's demand is good.
Comparing the performance of "Dickinson" on a rolling year basis versus the last 30 days can also provide valuable insights. Although the show's peak demand was slightly lower in the last month than the year prior, its overall popularity has increased. This could signal that the show is still worth investing in.
Lastly, you can use demand data to inform marketing and programming decisions. For example, Parrot Analytics provides insight into what other shows fans of "Dickinson" also like. If you're looking to create a marketing campaign targeting loyal "Dickinson" viewers, you can use this information to construct a campaign that will also appeal to fans of other popular shows. You can also use demand data to determine optimal release strategies or pricing.
Overall, using demand data to make content acquisition, programming, and marketing decisions allows for more informed and data-driven choices. Additionally, content valuation using demand data shows how much a series is worth, allowing for more financially responsible decisions for your platform. By understanding audience demand and its changes over time, you can optimize your content catalog to drive engagement, growth, and retention.
