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 make more informed content decisions by leveraging Parrot Analytics' demand data to assess the popularity of TV shows. Using the example of "Adaalat" in India, we can see how demand data can help in content valuation, acquisition, and programming decisions.
Content valuation is an important process for TV executives, and demand data plays a crucial role in it. You can use demand data to estimate the value of a content library to a platform over time. In the case of "Adaalat," we see that it has a demand of 2.7 times the average title in India over the last 30 days, with an increase of 11.6% in demand. This indicates that the show is still popular and has sustained demand over time, which can increase its value to a platform.
Acquisition decisions can also be informed by demand data. By examining the top 10 global markets where "Adaalat" is most in-demand over the last 30 days, we can see that it outperforms the demand of the average TV show in each of these markets, particularly in India and the United States. TV executives can leverage this data to determine which shows to acquire and which markets to target.
Programming decisions are also critical to the success of a TV platform, and demand data can help inform these decisions. For example, by assessing the performance of "Adaalat" on a 1 year rolling basis vs. the last 30 days, we can see that its demand has increased by 43.9% in the last 30 days. This indicates that it may be a good time to promote the show or increase its availability on the platform.
Furthermore, demand data can also help with subscriber acquisition and retention. For instance, by finding other shows that fans of "Adaalat" also like, TV executives can make recommendations to their subscribers to keep them engaged with the platform.
In summary, demand data can help TV executives make more informed content, acquisition, and programming decisions. In the case of "Adaalat," we see that the show is still popular and has sustained demand, particularly in India and the United States. TV executives can leverage this data to make better-informed decisions for their platform.
This is Adaalat'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 Adaalat travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Sony Entertainment Television (India)‘s Adaalat 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 Sony Entertainment Television (India) 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 Adaalat, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Crime Drama), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:02 p.m. PST using demand analytics from Parrot Analytics for Adaalat in India. We provide our partners with deep OTT know-how to help them drive better and more informed content investment strategies. Contact us today to find out more.