As an entertainment executive, there are numerous ways that you can leverage audience demand data to make more informed content, acquisition, distribution, and programming decisions. For instance, you can use demand data to value your content, estimate cannibalization of audiences for titles on multiple services, and assess the value of exclusivity.
By examining audience demand data for "Beyhadh" in the United States, you can gain several insights into the show's performance that can inform your content or acquisition decisions. Firstly, the show has a high level of demand compared to the average TV show in the country, which means that it is resonating well with audiences. Additionally, although the show's demand has decreased slightly in the last 30 days, the show's momentum is still considered outstanding, indicating potential for growth in the future. The show has also maintained its demand and audience engagement over time, which is referred to as its longevity.
Through the Parrot Pulse analysis, you can get an independent measure of the show's global performance across six dimensions, including audience demand, travelability, longevity, momentum, franchisability, and reach. This information can be used to benchmark the show's performance against other titles and to make strategic acquisition decisions.
It is also worth noting that "Beyhadh" has performed particularly well in India, where demand is outstanding. This data can help you to make targeted decisions about programming and distribution for the show in that region.
In addition to informing your content or acquisition decisions, audience demand data can also guide your marketing and promotional efforts. For instance, if the demand for the show is spiking at a particular time, you may want to focus your marketing efforts around that period to take advantage of the increased audience engagement.
Overall, audience demand data can provide valuable insights that entertainment executives can use to make more informed decisions about their content, acquisition, distribution, and programming strategies. They can also help measure the valuation of content by giving insights into its worth and the platform-specific marginal revenue it can generate.
