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 a TV executive, you can use demand data to make better-informed content, acquisition, programming, or distribution decisions. The analysis of "Ram Siya Ke Luv Kush" in India for the month of March 2024 showcases how demand data can be used for content valuation, informing strategic decisions, and competitive benchmarking.
One way demand data can inform content valuation is by answering questions like, how much is my show worth? With 2.9 times the audience demand of the average show in India over the last 30 days, "Ram Siya Ke Luv Kush" has good demand, and only 8.6% of all TV shows have this level of demand. It is important for TV executives to know the baseline value of a title, and Parrot Analytics' content valuation system based on demand data can reveal the dollar value contribution of any title to any platform in any region. Therefore, TV executives can leverage demand data to determine how much to spend on content and calculate the ROI and the economic value of a title.
Moreover, demand data can help TV series financing companies, TV production companies, and studios with acquisition decisions. For instance, demand data powers Parrot Analytics' content valuation system, which helps acquire or produce content with the highest demand and revenue-generating potential, respecting streaming platforms' specificities. Furthermore, demand data can be used to determine why a show should be considered a strategic asset for a streaming platform, how it can be leveraged to grow subscribers or retain the current audience.
Regarding programming or distribution decisions, demand data is essential to determine the optimum release strategy. For instance, "Ram Siya Ke Luv Kush" peaked in demand late in March 2024 in India, which means that an optimal release strategy with the right promotion can drive more demand. The data can also be used to optimize the marketing campaign before the series premiere, as TV executives can use the demand data to determine the most popular genres with the audience and identify fan favorites with affinity analysis. Moreover, demand data can inform decisions on the platform or network fit and help identify regions where demand for a series is increasing or opportunities to acquire new subscribers.
Lastly, demand data is critical for competitive benchmarking to compare a show's performance against other titles available on the market. Comparing the occupancy rate and the demand performance of "Ram Siya Ke Luv Kush" with other titles in the drama genre reveals that it has higher demand than 97.2% of all drama titles in India. Such comparisons can reveal opportunities to monetize under-monetized titles in new geographical areas, despite their declining popularity.
In conclusion, Parrot Analytics' demand data provides TV executives with a comprehensive understanding of how a show is performing across different geographies and platforms, helping them make informed content, acquisition, distribution, or programming decisions. By leveraging this data, TV executives can determine the economic value of a title, identify trends in demand, inform the acquisition process, and optimize the marketing campaign ahead of the series premiere. In short, demand data enables TV executives to make strategic, data-backed decisions that benefit the platform and their audiences.
This is Ram Siya Ke Luv Kush's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Ram Siya Ke Luv Kush travels internationally.
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Acquire the best shows from partners such as Colors TV to fortify your competitive position in India. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Ram Siya Ke Luv Kush), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
Command your Drama genre niche with maximum net subscriber adds. Contact us now to harnesses audience demand data to gain insights for growing and keeping a subscriber base. Leverage a return-focused selection criteria for title acquisition from partners such as Colors TV by incorporating country-specific trend and market demand factors for all markets including India. Appeal to the individuality of your audience base, taking into consideration the unique and limitless characteristics of taste clusters.
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Our TV audience measurement dataset is truly global. Discover how popular Colors TV‘s Ram Siya Ke Luv Kush 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 Colors TV 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 Ram Siya Ke Luv Kush, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Supernatural Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:03 p.m. PST using global demand content analytics from Parrot Analytics for Ram Siya Ke Luv Kush in India. We provide our partners with essential television series analyses to help them drive better and more informed content partnership strategies. Contact us today to find out more.