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, understanding audience demand is critical to making informed content decisions. This is where demand data comes in. For instance, let's consider the case of "White Collar," which has been analyzed for audience demand in India for the month of March 2024.
One way demand data can be used is for content valuation. Parrot Analytics' content valuation system uses demand data to evaluate the dollar value contribution of any title to any platform in any region. As for "White Collar," its demand in India during March has been 3.8 times higher than the average show in India during the same period. This shows that the series has significant demand in India. By keeping track of the monthly and yearly demand trends, it is easier to calculate the ROI of a specific title and assess its valuation.
Demand data can also inform acquisition decisions. By examining the top 10 global markets where "White Collar" is most in-demand over the last 30 days, it is clear that the TV series consistently outperforms the average show in these markets. For instance, in Germany, "White Collar" achieved outstanding audience demand of 11.4x, indicating its popularity in that region. This information can enable acquisitions teams to target regional markets that have high demand for a particular title and acquire content that is in demand across multiple regions.
Demand data for "White Collar" also reveals its affinity with other shows. For instance, other shows that fans of "White Collar" also like include "The Blacklist," "Ted Lasso," and "Suits." This information can be useful in programming decisions, as it provides insights into the tastes and preferences of viewers.
Additionally, monitoring a show's demand over time can inform distribution decisions. For instance, demand for "White Collar" in India increased by 50.5% in March. This information can help distribution teams plan the release strategy and pricing of the show to maximize its impact.
Finally, demand data can be used to inform marketing campaigns. By understanding the momentum of a show's growth and the market's response to it, it allows marketing teams to optimize their marketing campaigns ahead of a premiere, ensuring maximum engagement and viewership.
In conclusion, understanding audience demand can help entertainment executives make more informed decisions across content valuation, acquisition, programming, distribution, and marketing. By leveraging demand data, entertainment executives can identify trends and insights that can aid them in maximizing the ROI of their content and growing their business.
White Collar's travelability to India in the last 30 days is 43%, which means that the audience demand for White Collar is 43% of the demand in its country of origin, United States. Click through to another market to discover how well White Collar travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular usa network‘s White Collar 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 usa network 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 White Collar, 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 enhanced on April 22, 2024, 2 p.m. PST using global demand datasets from Parrot Analytics for White Collar in India. We provide our partners with far-reaching television competencies to help them drive better and more informed content distribution strategies. Contact us today to find out more.