Demand data can help entertainment executives make more informed content decisions and acquisition decisions, as well as distribution and programming decisions. For instance, examining the performance of "Star Wars: The Bad Batch" in the United States can provide insights into how demand data can be used to evaluate TV series.
One key use of demand data is content valuation, as it can be applied to an entire library or an individual series. With an exceptional audience demand of 15.7 times the title average in the United States over the last 30 days, "Star Wars: The Bad Batch" is a clear example of a series that has high value. The show's demand level is outstanding, with only 2.7% of all TV shows achieving this level of demand. Thus, producers and distributors can leverage demand data to determine the value of their content to a platform or another streaming service, helping them set a price that reflects the contribution of a specific title to a platform's financial performance.
Demand data can also help with decisions concerning supply and demand, such as identifying the genres with the most opportunity for content creation or acquisition. Examining the top 10 global markets where "Star Wars: The Bad Batch" is most in-demand over the last 30 days can provide this information, as it tracks where the show is most popular. Moreover, the data can be used to pinpoint the best release strategy and pricing for a title, as well as help towards distribution decisions and assess the efficacy of promotional campaigns.
Looking at the Parrot Pulse for "Star Wars: The Bad Batch", we can see that it gauges the show's global performance across six dimensions. For instance, the show's Worldwide audience demand is outstanding, indicating its appeal to a vast audience worldwide. In addition, as Travelability is outstanding, the show has strong international appeal. Using this dimension helps conclude which market(s) would be valuable for the content distribution strategy. Metrics like Momentum indicate how popular the show is performing across its lifetime, while longevity measures how well audience demand is retained over time. On the other hand, measuring Franchisability (spin-off potential) will help in assessing potential future monetization possibilities.
Finally, demand data is crucial when it comes to acquisition decisions and subscriber retention. For instance, demand data can help executives identify which titles to buy if they want to grow their audience or keep the current one happy. Furthermore, demand data can be used to quantify the platform-specific marginal revenue contribution that a title contributes and assess its ability to drive subscriptions and mitigate churn, informed by long-term changes in demand trends.
Overall, entertainment executives can benefit immensely from demand data insights when making content, acquisition, and distribution decisions, which can ultimately lead to better monetization opportunities for their intellectual property.
