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, you can rely on demand data to make more informed content, acquisition, distribution and programming decisions. An analysis of "Fauda" in India for the month of February 2024 reveals the potential for the show in specific markets and provides useful insights regarding audience trends and preferences.
For instance, "Fauda" has a demand that is 4.3 times higher than the average show in India over the last 30 days and belongs to the 98.2th percentile in the drama genre in February in India. This indicates that the show has a good demand and outranks 98.2% of other drama titles in India. You can use this information to develop similar content or acquire titles that belong to this genre to cater to audience preferences.
Additionally, identifying shows that "Fauda" fans also like, such as "Money Heist (La Casa De Papel)", "True Detective", and "From", can be valuable in making informed content decisions. Moreover, the analysis of the global performance of "Fauda" across different markets based on the Parrot Pulse and travelability informs executive choice on the potential of the show.
In the case of "Fauda", the show's demand in India, for instance, was 35% of its demand in Israel, which means that the travelability score was good. This indicates that the show has potential and can be successful in other markets. Also, the show's momentum score is outstanding, and its franchiseability score is good. Executives can utilize these scores to decide on further monetizing IP for the show through spin-offs or franchises or selecting IP to develop into a franchise or create spin-offs.
Furthermore, executives can use demand data to optimize release strategy and pricing, acquire or produce content that exhibits opportunity to generate revenue or retention, map local white spaces, quantify taste clusters, and power discovery and recommendations.
Finally, while comparing the performance of "Fauda" on a one-year rolling basis versus the last 30 days, it appears that the show's average demand decreased, even though it peaked at 6.0 times the title average in the last 30 days. This indicates a shift in user preferences or market trends that executives need to monitor and interpret in the context of other market factors.
In conclusion, demand data plays a pivotal role in entertainment executives' strategic decision-making processes. The analysis of "Fauda" in India for the month of February in 2024 showcases the potential of utilizing demand data in making informed content, acquisition, distribution, and programming decisions.
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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 India, 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 Yes 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 Fauda, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Political Drama), using our globally standardized Demand Expressions® metric.
This page has been amended on March 28, 2024, 7:55 a.m. PST using global demand analytics from Parrot Analytics for Fauda in India. We provide our partners with smart television workflows to help them drive better and more informed content advertising strategies. Contact us today to find out more.