The Demand Distribution curve illustrates how a TV show’s popularity compares to the demand benchmark, which is a measure of the average demand across all titles. The curve is divided into performance buckets, ranging from “Below Average” to “Exceptional”. A show falls into one of these performance buckets depending on how many times more or less demand it has compared to the demand benchmark.
The show’s performance is market-specific, e.g. the same show can be in the “Average” range in the United States and in the “Good” range in France.
As an example, if a show has 9 times more demand than the demand benchmark, it falls in the “Outstanding” performance range; only 2.7% of all shows in the market reach this high level of demand.
As an entertainment executive, it is important to make informed content and acquisition decisions based on demand, which can help them understand the popularity of a TV show in different markets. Utilizing the example of "Grisse", we can understand how demand data can be used to reveal a show's global, regional, and temporal performance. Based on the analyses below, entertainment executives can use demand data to make better programming and distribution decisions.
Content Valuation:
- One of the key uses of demand data is content valuation, which can help entertainment executives decide how much to spend on a TV show. The Parrot Analytics content valuation system is based on demand data and helps in understanding the financial value of any title, for any platform, at any time. For instance, analyzing the demand for "Grisse" can help TV networks and OTT platforms determine the show’s worth accurately.
Global Performance:
- By examining the top 10 global markets where "Grisse" is most in-demand, entertainment executives can determine the reach of a show. "Grisse" demonstrated its strongest audience demand percentage in Brazil, followed by Singapore. This can help them decide which markets to target for distribution and at which channels to promote this show.
Regional Performance:
- Examining "Grisse’s" demand data in Brazil can help TV networks and OTT platforms in the country identify an audience's preference and tailor their programming accordingly. For example, the demand for "Grisse" decreased during March and analyzing why this happened can help entertainment executives gain insights to avoid it from happening in future.
Temporal Performance:
- Looking at the change in demand indicators, executives can draw conclusions on the show's recent performance in Brazil. "Grisse" accelerated in March, with a significant uptick in audience demand. This suggests that TV networks and OTT platforms need to optimize their content release strategies in order to increase audience reach.
- In addition to temporal performance, executives can analyze audience engagement metrics such as "Grisse’s" reach and the number of people expressing demand for the show. This can provide insights into the show’s potential effectiveness at acquiring and retaining subscribers.
Comparative Performance:
- "Grisse" is doing okay compared to other titles in different markets. The Parrot Pulse for "Grisse" evaluates its global performance across six dimensions. This allows entertainment executives to benchmark the show against other TV shows and make better acquisition decisions.
Content Analysis:
- Demand data can power affinity analysis by identifying other shows that fans of "Grisse" also like. This can help agencies to find the appropriate talent, brand, and TV shows to optimize audience retention and acquisition.
- By analyzing the longevity of a show and its engagement, executives can determine the kind of content library that needs to be acquired to increase engagement and retain customers.
- Scalable concept testing can identify the TV series’ popularity with audiences. Extracting data on the elements of existing content that have performed well with fans allows producers to optimize an upcoming production and improve the chances of its success.
In conclusion, demand data can provide entertainment executives with vital information to help them make informed content decisions or acquisition decisions, or distribution decisions. The case of "Grisse" in Brazil shows how demand data can allow them to target specific audiences, increase their reach, and develop effective programming strategies. Therefore, it is important for entertainment executives to embrace demand data analysis to maximize their revenues.
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Our TV audience measurement dataset is truly global. Discover how popular HBO‘s Grisse is in any of the following selected markets. Need data for other markets? Find out more about DEMAND360LITE.
Parrot Analytics is the leading global content demand analytics company for the multi-platform business of television. With the world’s largest TV audience demand dataset, the company currently tracks more than 1.5B daily expressions of demand in 100 languages, not only in Brazil, but also in 100+ other markets around the world to reveal the television content that consumers watch (viewership) and give their attention to the most.
Parrot Analytics' television demand data highlights the global TV content monetization opportunities for HBO and thousands of TV studios, linear networks, broadcasters, pay TV providers and OTT / SVOD platforms.
Unlike TV ratings, our DemandRank TV rating system ensures that important demand signals are weighted more heavily than others: The more consumer effort required; the more importance is attached to each signal. Once all the signals are weighted and combined, the audience demand for Grisse, for example, can be assessed for a market e.g. Brazil, which can then be benchmarked against genre averages (e.g. Period Drama), using our globally standardized Demand Expressions® metric.
This page has been modified on April 18, 2024, 2:03 p.m. PST using global television demand data from Parrot Analytics for Grisse in Brazil. We provide our partners with meaningful media industry know-how to help them drive better and more informed content investment strategies. Contact us today to find out more.