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 always on the lookout for ways to make more informed decisions regarding content acquisition, distribution, and programming. Luckily, demand data can provide valuable insights that can inform these decisions. Let's take a look at how demand data can be used to analyze "Don't Trust The B---- In Apartment 23" and how it can help executives like you make better decisions.
Content valuation uses demand data to estimate the worth of a TV series and to determine the dollar value contribution of any title to any platform in any region. By understanding the value of a title, entertainment executives can determine how much to spend on acquiring or producing new content. The demand for "Don't Trust The B---- In Apartment 23" in Germany is good, with 2.6 times the audience demand of the average show in Germany over the last 30 days. However, demand for the show decreased by 79.4% during March 2024. Despite this, the show has higher demand than 94.2% of all comedy titles in Germany, indicating its value.
Demand data can also inform acquisition decisions. Understanding the fans of a particular show can help executives find other titles that would appeal to the same audience. Fans of "Don't Trust The B---- In Apartment 23" are also interested in "Downton Abbey", "Game Of Thrones", and "RuPaul's Drag Race", among others. Executives can use this information to target these shows and acquire them as part of their content library.
Distribution decisions can also benefit from demand data. By mapping local whitespace and understanding the most popular genres in a particular market, executives can make informed decisions about what content to distribute where. "Don't Trust The B---- In Apartment 23" has good demand in Germany, which can inform distribution decisions in that market.
Programming decisions can also benefit from demand data. By understanding audience demand, executives can optimize their release strategy and pricing. They can also make decisions about which titles should be acquired or produced to support subscriber retention and acquisition. For example, executives can determine which titles will attract new subscribers to their platform based on the demand data for "Don't Trust The B---- In Apartment 23".
Demand data can also inform decisions about marketing and promotion. By knowing how a particular show is performing relative to the market average, executives can make informed decisions about how to optimize their marketing campaigns ahead of premiere. Additionally, using affinity analysis, executives can identify the best talent or brand to partner with to expand their audience.
In conclusion, demand data is a valuable tool for entertainment executives to make more informed decisions about content acquisition, distribution, programming, and marketing. By examining the global performance of "Don't Trust The B---- In Apartment 23", executives can apply these insights to their own decision-making processes. Whether analyzing content valuation, audience tastes, or franchisability, demand data can provide valuable insights that help executives make better decisions.
Don't Trust The B---- In Apartment 23's travelability to Germany in the last 30 days is 55%, which means that the audience demand for Don't Trust The B---- In Apartment 23 is 55% of the demand in its country of origin, United States. Click through to another market to discover how well Don't Trust The B---- In Apartment 23 travels internationally.
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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 Germany, 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 abc 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 Don't Trust The B---- In Apartment 23, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:04 p.m. PST using global tv demand analytics from Parrot Analytics for Don't Trust The B---- In Apartment 23 in Germany. We provide our partners with comprehensive TV insight to help them drive better and more informed content sales strategies. Contact us today to find out more.