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.
Entertainment executives face numerous challenges when making decisions about content acquisition, distribution, marketing, and programming. However, relying solely on intuition and guesses never yields good results. In this article, we will show how demand data can help entertainment executives make better-informed decisions. Specifically, we will show how insights gleaned from the Indian television series, "Iss Pyaar Ko Kya Naam Doon", can inform and impact these decisions.
Firstly, content valuation is essential when making acquisition or content development decisions. Demand data, such as what we have for "Iss Pyaar Ko Kya Naam Doon," can help executives determine a content's value based on audience interest and demand. For example, we could use the demand data insights from India to see a show with 3.3 times the demand of the average Indian show is an indication of good demand, but a 26.8% decrease in demand throughout March 2024 is a factor that should also be considered. Additionally, considering that only 8.6% of all TV shows have this level of demand indicates that the show's value is above average.
Secondly, demand enables networks and distribution companies to assess the feasibility of a show's success in a particular geography. For example, considering how the show has performed in different regions, executives can identify the territory with the audience most willing to watch their content. The show's audience demand in India is 0.8x, the highest of the analyzed markets. Knowing that the show outperforms the average TV program in all its top ten global markets gives the company better insight into where it is most marketable.
Finally, these demand insights can help executives make better-informed decisions about programming. For example, executives can use demand insights to determine the effectiveness of marketing campaigns or improve content discovery and personalization on streaming services. Understanding that the show's momentum is good but that demand is decreasing over the last 30 days, it's essential to note the demand spiked in late March 2024. We can infer from this information that a marketing campaign launched in late March may be worth repeating to gauge its effectiveness.
In conclusion, entertainment executives can make better-informed decisions when provided with demand data on potential programming options, acquisitions, and distribution decisions. Relying solely on intuition is no match for quantifiable data insights, allowing businesses to choose the best content investment decisions. By providing up-to-date demand data and insights, entertainment executives can make the best content-related decisions that are profitable for their businesses.
This is Iss Pyaar Ko Kya Naam Doon'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 Iss Pyaar Ko Kya Naam Doon travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Star Plus‘s Iss Pyaar Ko Kya Naam Doon 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 Iss Pyaar Ko Kya Naam Doon, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Romantic Drama), using our globally standardized Demand Expressions® metric.
This page has been changed on April 22, 2024, 2:03 p.m. PST using television demand metrics from Parrot Analytics for Iss Pyaar Ko Kya Naam Doon in India. We provide our partners with essential content competencies to help them drive better and more informed content marketing strategies. Contact us today to find out more.