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 industry executives are always looking for ways to make more informed content decisions that will help them engage viewers and improve their bottom line. One tool that has shown immense potential in improving insights about content consumers is demand data, which can provide granular insights on topics ranging from content valuation to franchisability. In this context, our analysis of "Doubt" in India for March 2024 offers some valuable insights. Here are some of the ways in which entertainment executives could use demand data to make better content decisions:
1. Content Valuation: The Parrot Analytics content valuation system is based on demand data and determines the dollar value contribution of any title to any platform in any region. In this regard, executives could use demand data on "Doubt" to determine its economic value in India and globally. The fact that its demand is good, and that it has higher demand than 96.5% of all drama titles in India means that it has potential economic value in these regions.
2. Performance Tracking: Demand data can be used to track the performance of a TV series over time, including its rank, audience demand, and genre percentile. Entertainment executives could use this information to compare the performance of "Doubt" over the last 30 days versus a rolling year basis. Noticeably, it indicates that "Doubt" is gaining in popularity.
3. Acquisition and Distribution decisions: Demand data can provide insights into which TV series are worth acquiring or distributing in a specific market. For instance, executives could use demand data to track the demand for "Doubt" in India and other regions where it is aired to determine the best distribution or acquisition strategy.
4. Programming decisions and optimization: Demand data can help entertainment executives identify the best times to release episodes or series to reach the widest audience. In this regard, the demand spike in late March 2024 for "Doubt" in India provides insights into the right timing for a show.
5. Viewer Engagement: By analyzing the top 10 global markets where "Doubt" is most in-demand over the last 30 days, entertainment executives can use demand data to make decisions that improve viewer engagement. Executives could leverage these insights to create diverse marketing campaigns that cater to the interests of viewers in different markets.
In conclusion, Parrot Analytics demand data could provide valuable insights into the entertainment industry that could help executives make more informed decisions concerning content acquisition, distribution, and programming. The insights covered in our analysis of "Doubt" in India can be applied to any TV series or movie to gain an economic valuation, track performance, make acquisition and distribution decisions, programming optimization and viewer engagement.
Doubt's travelability to India in the last 30 days is 34%, which means that the audience demand for Doubt is 34% of the demand in its country of origin, United States. Click through to another market to discover how well Doubt travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular CBS‘s Doubt 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 CBS 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 Doubt, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Legal Drama), using our globally standardized Demand Expressions® metric.
This page has been altered on April 19, 2024, 2:04 p.m. PST using global television demand datasets from Parrot Analytics for Doubt in India. We provide our partners with smart content insight to help them drive better and more informed content advertising strategies. Contact us today to find out more.