Entertainment executives in the OTT, TV series financing, talent agency, content distribution, production, or linear/pay TV network fields can use demand data to inform their decisions on content acquisition, distribution, programming, and valuation.
For example, let's consider the Indian TV series "Rishta Likhenge Hum Naya" and how demand data can help executives make more informed decisions regarding this show.
Demand data for the show shows that it has good demand, with 2.3 times the audience demand of the average show in India over the last 30 days. Additionally, the show ranks at the 97.8th percentile in the romance genre, indicating higher demand than 97.8% of all romance titles in India. However, its demand has been decreasing in recent times, which is also revealed by the fact that its rank has dropped 66 spots during the month of January. This data can help executives to evaluate the current performance of "Rishta Likhenge Hum Naya" in India, and decide whether to renew, acquire, or distribute this show in this region.
Furthermore, executives can use demand data across the top 10 global markets to determine how well the show is performing across different regions. We can see that India is the number one market for "Rishta Likhenge Hum Naya" globally, with the show achieving good audience demand of 1.3x in India. Additionally, the show outperforms the demand of the average TV show (1x) in each of the top 10 markets. From this data, executives can determine which regions to prioritize for distribution or acquisition of this show.
Demand data can also aid in content valuation. Using Parrot Analytics content valuation system, executives can determine how much a title is worth, the baseline value of the title, and how the title is driving engagement across the rest of the catalog. This data can help executives to make informed decisions about content acquisition or distribution and also enable them to monetize their content better.
Lastly, examination of the Parrot Pulse across six dimensions (audience demand, travelability, longevity, momentum, franchisability, and reach) can help executives determine the global performance of a show. For "Rishta Likhenge Hum Naya", the show has good audience demand and momentum, while its travelability is poor. By analyzing the performance of the show over the last 30 days and comparing it to its 1-year rolling average, executives can evaluate how the show's demand has changed recently, and how it has been performing over a longer time period.
In conclusion, demand data is an incredibly powerful tool for entertainment executives to use in their decision making process across the content acquisition, distribution, programming, and valuation landscape. By analyzing demand data, executives can make more informed decisions about their content and make better use of their content libraries.
