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.
Demand data can reveal insights that can inform content-related decisions, whether in content valuation, acquisition, distribution, or programming. The example of "Girls" can serve as a starting point for understanding how entertainment executives can use demand data to make more informed decisions.
One way demand data can inform decisions is by providing content valuation. Using demand data, a TV executive can calculate the ROI of a specific title for any given platform and assess a TV show's ability to drive subscriptions and reduce churn. Additionally, executives can use demand data to estimate the value of a specific title, the value of a content library to a platform over time, or the baseline value of a title. Using demand data can also help one determine how the value of a series is being driven by a particular star, and it can help assess the value of exclusivity.
Demand data can be used to inform acquisition decisions by analyzing the popularity of different titles, comparing their audience demand against the average title in a particular genre, market, or region. An executive can also find new opportunity markets for content distribution by using demand data to unveil under-monetized titles.
Demand data can also inform programming decisions and ensure that content aligns with audience tastes and preferences. By leveraging insights on the popularity of shows in different regions or genres, decision-makers can optimize titles' release strategy and pricing. Moreover, executives can assess the ability of a TV series to retain customers or acquire new subscribers by examining the titles' popular demand in various regions.
Moreover, beyond the data on audience demand, by analyzing the top 10 global markets where "Girls" is most in-demand, an executive can also create a travelability index that compares the global performance of the series in different markets, assessing its international demand relative to its home market. Similarly, executives can analyze a title's popularity and momentum and its potential for the creation of spin-offs or franchises.
Finally, the analysis of "Girls" in Norway during October 2023 reveals that demand data can also provide granular insights about the show's performance in a particular region, including its rank, percentage of demand in its country of origin, season profile, and peak demand over a year. All this information can inform marketing campaigns and lead to determinations of the best platforms and channels for distribution to maximize content performance.
Overall, whether an executive is focused on TV series financing, talent agency, linear network, or pay TV network, demand data can enable strategic decision-making and help to identify opportunities for growth by making informed content decisions.
Girls's travelability to Norway in the last 30 days is 36%, which means that the audience demand for Girls is 36% of the demand in its country of origin, United States. Click through to another market to discover how well Girls travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular HBO‘s Girls 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 Norway, 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 HBO 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 Girls, for example, can be assessed for a market e.g. Norway, which can then be benchmarked against genre averages (e.g. Comedy Drama), using our globally standardized Demand Expressions® metric.
This page has been recreated on April 22, 2024, 2:03 p.m. PST using global television demand datasets from Parrot Analytics for Girls in Norway. We provide our partners with deep SVOD expertise to help them drive better and more informed content investment strategies. Contact us today to find out more.