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 are tasked with making content, acquisition, distribution, and programming decisions that will result in success for your platform and organization. With the help of Parrot Analytics' demand data, you can make more informed decisions. Parrot Analytics content valuation system can provide you with an economic valuation system powered by global content demand and supply to determine how much a title is worth.
Taking "Siya Ke Ram" as an example, we can see how demand data can be used to help you make strategic decisions. "Siya Ke Ram" traces the story of Sita from a different perspective in an unprecedented detail that is capturing the attention of Indian audiences, as revealed by its good demand, which is 2.6 times higher than the average show in India. This information is relevant to your content decisions and content valuation. You can use demand data to quantify the platform-specific marginal revenue contribution that a title can bring, to assess a TV series' ability to drive subscriptions, and to make informed decisions on how much to spend on content.
Moreover, you can use demand data to assess how well your show is performing by examining its demand ranking, which dropped 315 spots during February in India. This information is crucial to your programming decisions and signals that you need to analyze why the show's demand is declining and take steps to improve its performance and retain your current audience.
Using Parrot Analytics' demand data tools, you can also identify similar shows that your viewers might also enjoy and make informed decisions on acquisition and distribution of content. "Siya Ke Ram" ranks at the 99.4th percentile in the documentary genre in India, which means that it has higher demand than 99.4% of all documentary titles in India. By leveraging this information, you can identify documentaries that might work well on your platform.
Demand data can also help you with subscriber retention and acquisition. By identifying which titles are popular with your current audience and which titles have the potential to attract new subscribers, you can make informed acquisition decisions. Additionally, you can leverage demand data to inform your marketing campaigns ahead of a premiere, optimize release strategy and pricing, and identify under-monetized titles that might have potential in a different market.
Examining the global demand for "Siya Ke Ram," we can see that the show is very popular in India, where it achieved a good audience demand of 0.6 times the title average. Still, it is only okay in other markets. By analyzing the top 10 global markets where the show is most in-demand, you can assess where to focus your efforts for global expansion.
In conclusion, demand data is a powerful tool that can help you make informed decisions in various areas of your business, including content, acquisition, distribution, and programming. Parrot Analytics' content valuation system based on demand data provides an economic valuation system to help you determine the value of any title and make strategic decisions. Understanding audience demand for a show, similar titles that viewers might enjoy, and how it performs globally can all inform your decisions on how to maximize the potential of your content.
This is Siya Ke Ram'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 Siya Ke Ram travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Star Plus‘s Siya Ke Ram 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 Star Plus 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 Siya Ke Ram, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Fantasy Drama), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2:02 p.m. PST using global tv demand content analytics from Parrot Analytics for Siya Ke Ram in India. We provide our partners with deep SVOD insight to help them drive better and more informed content sales strategies. Contact us today to find out more.
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