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 can use demand data to inform content, acquisition, distribution and programming decisions. Demand data can enable you to make more informed and profitable decisions, increase ROI, reduce churn and maximize content investments. Let's look at how demand data for "Star Trek: Deep Space Nine" for the month of March 2024 in Germany can help you make data-driven decisions.
Content Valuation:
- Using demand data, you can calculate the dollar value contribution of "Star Trek: Deep Space Nine" to any platform, in any region. Since the show has 11.1 times the audience demand of the average show in Germany over the last 30 days, this demand data can assist in confirming the commercial viability of the show, as it is in the top 2.7% of all TV shows.
- Parrot Analytics content valuation is an economic valuation system powered by global content demand and supply. It can help you determine how much to spend on content and assess the value of an individual show or an entire library.
Acquisition and Distribution:
- By examining the top 10 global markets where "Star Trek: Deep Space Nine" is most in-demand over the last 30 days, you can identify the key markets to acquire and distribute this TV series.
- You can use the demand data to benchmark the performance of "Star Trek: Deep Space Nine" against other titles available on the market and make more informed acquisition decisions.
- The show's good travelability and franchisability reveal opportunities to expand its global reach and spin-off potential.
- The independent measure of its momentum and longevity can help identify titles that maintain demand, requiring less marketing spend.
Programming:
- To optimize your programming schedule, you can use demand data to determine the best release strategy for your content.
- You can also use demand data to assess the show's ability to drive subscriptions and mitigate churn.
- Knowing that fans of "Star Trek: Deep Space Nine" also like "Star Trek: Voyager", "Star Trek: Lower Decks", "For All Mankind", "Star Trek: Strange New Worlds", "Star Trek: Picard", "Star Trek: Discovery", "Rick And Morty", "The Orville" and "Star Trek: Enterprise", you can use this information to identify new titles for programming or promotion decisions.
Content Decision:
- Measuring the performance of "Star Trek: Deep Space Nine" on a rolling year basis compared to the last 30 days reveal that the show is increasing in popularity.
- Understanding that Germany's demand for "Star Trek: Deep Space Nine" was 61% of the demand in its country of origin, the United States, can help you gauge the show's global appeal and make content decisions.
- Demand data uncovers under-monetized titles and helps identify new opportunity markets for content distribution.
- By answering questions like, "what genres are resonating most with my current audience, what genres should we focus on to attract new subscribers to our SVOD service?", you can make more informed content decisions and optimize your content.
In conclusion, demand data is a powerful tool for informing your content, acquisition, distribution, and programming decisions. Using demand data for "Star Trek: Deep Space Nine" in March 2024 in Germany as an example, it is clear that demand data can assist in content valuation, acquisition and distribution strategies, programming decisions, and content decisions. Utilizing demand data can lead to more informed and profitable decisions, increase ROI, reduce churn, and maximize content investments.
Star Trek: Deep Space Nine's travelability to Germany in the last 30 days is 56%, which means that the audience demand for Star Trek: Deep Space Nine is 56% of the demand in its country of origin, United States. Click through to another market to discover how well Star Trek: Deep Space Nine travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Syndication‘s Star Trek: Deep Space Nine 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 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 Syndication 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 Star Trek: Deep Space Nine, for example, can be assessed for a market e.g. Germany, which can then be benchmarked against genre averages (e.g. Sci-fi Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:01 p.m. PST using global demand datasets from Parrot Analytics for Star Trek: Deep Space Nine in Germany. We provide our partners with meaningful TV industry workflows to help them drive better and more informed content investment strategies. Contact us today to find out more.