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, the demand data provided for "Tvf Tripling" can be used to make data-driven decisions in content acquisition, programming, and distribution. One of the foremost advantages of demand data is content valuation - it reveals the economic value of a title, in any region, to any platform. By analyzing demand data, executives can better understand how much a show is worth and its ability to drive subscriptions and mitigate churn, and plan accordingly to maximize their ROI. The show's outstanding demand of 8.2 times the average show in India and its increasing demand over the past 30 days, as well as its performance against other titles in the comedy genre, suggest that the show has significant value.
Understanding the show's audience demand across the globe can also inform acquisition and distribution decisions. The analysis indicates "Tvf Tripling" has good worldwide audience demand, and Its top market with high demand is India. Other potential markets for "Tvf Tripling" with similar demand include South Korea, Bangladesh, United Kingdom, Pakistan, United States, United Arab Emirates, and Netherlands. The demand data enables the executives to determine which platforms to target for distribution and what content to produce or acquire.
Moreover, demand data addresses questions concerning supply and demand. For instance, the analysis indicates that the show had a remarkable increase in audience demand in India by 19.5% during April 2024. Such data can help executives identify what type of content exhibits opportunity to acquire or produce. They can also leverage demand data to identify local whitespaces by determining the most popular genres in the local market.
Demand data can also inform programming decisions such as the release strategy and pricing. The executives can use the demand data to optimize the marketing campaign ahead of premiers, such as by identifying the show's top 10 global markets. Insights into the marketing campaign’s effectiveness and the show's cultural significance can be used to guide programming decisions. Additionally, they can use the demand data to uncover under-monetized titles and their sustained audience demand, requiring less marketing spend.
Another essential advantage of demand data is affinity analysis, which reveals audience preferences. Tripling is a story of siblings, loaded with emotions that highlights this unique and enduring relationship. An examination of audience preferences suggests that fans of "Tvf Tripling" also like other TV shows such as "Rocket Boys (IN)", "Panchayat", "Tvf Pitchers", "Indian Police Force", "The Midnight Club", "Killer Soup", "Yeh Meri Family", "Scam 2003: The Telgi Story (स्कैम २००३: द तेलगी स्टोरी)" and "Aspirants". Audience preferences can inform decisions concerning new productions, talent selection, franchises, partnering with brands, and ultimately attract new subscribers to an SVOD service.
In conclusion, demand data is a powerful tool for entertainment executives in acquisition, programming, and distribution decisions. Analysing demand data for "Tvf Tripling" indicates that the show has high demand globally, and specifically in India. Understanding the audience's demand enables executives to make informed content, acquisition, and distribution decisions that maximize the ROI and better serve the audience.
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Our TV audience measurement dataset is truly global. Discover how popular TVFPlay‘s Tvf Tripling 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 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 TVFPlay 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 Tvf Tripling, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Comedy Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:04 p.m. PST using television demand datasets from Parrot Analytics for Tvf Tripling in India. We provide our partners with valuable television industry workflows to help them drive better and more informed content advertising strategies. Contact us today to find out more.