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, you are constantly looking for ways to make more informed decisions about your content. By using demand data provided by Parrot Analytics, you can develop an understanding of how your content is currently performing in different markets.
Let's take the case of "Great British Railway Journeys" in France in February 2024. With 5.7 times the audience demand of the average show in France over the last 30 days, the demand for the show is good. Only 8.6% of all TV shows have this level of demand. This suggests that the show has a valuable offer that is resonating with French audiences.
Moreover, compared to its demand of 4.1 times the average over the last 90 days, demand for this show has been increasing recently. It is important to pay attention to demand trends across different time periods, as this can help identify shifts in audience behavior.
While "Great British Railway Journeys" achieved the peak rank of #556 in France, the show dropped in its rank by 47 spots during February in France. Although demand for the show has decreased by 4.8% in France during this period, the good news is that the show still ranks at the 99.2nd percentile in the documentary genre in February, which means it has higher demand than 99.2% of all documentary titles in France.
By examining the top 10 global markets where "Great British Railway Journeys" is most in-demand over the last 30 days, we find that this TV series outperforms the demand of the average TV show (1x) in each of these markets. The United Kingdom, where the show is based, is "Great British Railway Journeys"'s number one market globally. The show achieved good audience demand of 5.8x in the United Kingdom.
When it comes to content valuation, the Parrot Pulse for "Great British Railway Journeys" provides an independent measure of its global performance across six dimensions. Firstly, the worldwide audience demand across all platforms is okay, whilst its travelability is poor. This suggests that the show's appeal outside of its country of origin may not be high.
The third dimension is longevity, which measures how well audience demand is maintained over time, and for "Great British Railway Journeys" this is good. Its momentum, the pace of growth, is likewise good. Finally, its franchisability (spin-off potential) is poor, which means that opportunities for creating spinoffs or franchises might be limited. The show's reach, or the number of people expressing demand for a show, is okay.
Using demand data, you can answer many other essential questions. For instance, understanding demand enables you to map local whitespaces and learn more about the most popular genres in different markets. Demand can also help you plan for optimal release strategies and pricing. Additionally, demand helps with subscriber acquisition and retention, given that knowing which titles to buy can keep current audiences happy and draw in new viewers.
In sum, by analyzing demand data, entertainment executives can gain valuable insights into how their content is performing in different markets. This will assist them in making more well-informed decisions about content acquisitions, distribution, and programming that can benefit their platforms and bottom line.
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Acquire the best shows from partners such as BBC Two to fortify your competitive position in France. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Great British Railway Journeys), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular BBC Two‘s Great British Railway Journeys 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 Two 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 Great British Railway Journeys, for example, can be assessed for a market e.g. France, which can then be benchmarked against genre averages (e.g. Travel Documentary), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 22, 2024, 2 p.m. PST using tv demand analytics from Parrot Analytics for Great British Railway Journeys in France. We provide our partners with far-reaching TV series competencies to help them drive better and more informed content sales strategies. Contact us today to find out more.