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.
For entertainment executives looking to make more informed content, acquisition, distribution, or programming decisions, demand data can be a valuable tool. By utilizing demand data, executives can gain insights into their audience's preferences, identify which titles are driving engagement and subscriptions, and make fact-based decisions related to content monetization and growth.
In the case of "Waterloo Road," analyzing the demand data for March 2024 in France reveals several key insights. Firstly, the show has 3.1 times the audience demand of the average show in France over the last 30 days, which is promising. However, demand for the show decreased by 34.2% during the month, which is a concerning trend. It is also noteworthy that the show's peak rank during the month was #873 in France, and it dropped in rank by 408 spots.
One of the major benefits of demand data is that it enables content valuation. By assessing demand data, executives can determine how much a show is worth and how much of its value is being driven by the demand for one of its stars, among other factors. For "Waterloo Road," the demand data indicates that it ranks at the 97.5th percentile in the romance genre in France, meaning that it has higher demand than 97.5% of all romance titles in the country. However, its poor franchisability (spin-off potential) means that it may not have as much value in potential future monetization efforts.
Another way in which demand data can assist content executives is by enabling scalable concept testing. By identifying which elements of existing content fans like the most, executives can optimize upcoming productions for success and make wiser decisions regarding supply and demand. For instance, the demand data for "Waterloo Road" reveals that other shows that fans of the series also enjoy include "Silent Witness," "FBI True," and "The Late Show With Stephen Colbert."
Demand data also informs decisions regarding subscriber acquisition and retention. By understanding which titles are most popular with audiences and which titles are likely to drive subscriptions or mitigate churn, executives can make more informed decisions related to programming and content monetization. For example, analyzing the top 10 global markets where "Waterloo Road" is most in-demand reveals that the show outperforms the demand of the average TV show in each of these markets.
Furthermore, demand data can help with decisions related to an optimal release strategy and pricing. For example, analyzing the demand data for "Waterloo Road" underscores that the show had higher than average demand over the last 30 days, indicating it could benefit from a strategic release or marketing strategy.
In conclusion, demand data is a valuable tool for entertainment executives to make informed content, acquisition, distribution, and programming decisions. In the case of "Waterloo Road," analyzing the show's demand data reveals both promising and concerning trends, highlighting both its potential value and areas that may require further exploration.
Waterloo Road's travelability to France in the last 30 days is 30%, which means that the audience demand for Waterloo Road is 30% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well Waterloo Road travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC One‘s Waterloo Road 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 France, 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 BBC One 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 Waterloo Road, for example, can be assessed for a market e.g. France, which can then be benchmarked against genre averages (e.g. Romantic Drama), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 19, 2024, 2:03 p.m. PST using television demand metrics from Parrot Analytics for Waterloo Road in France. We provide our partners with far-reaching television insight to help them drive better and more informed content acquisition strategies. Contact us today to find out more.