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, it is imperative to make informed content decisions that resonate with your audience and maximize ROI. This is where demand data comes in. Using demand data analytics and insights based on on-screen titles, entertainment professionals stand a better chance of making informed content decisions that drive growth and increase revenue. Using "Ripper Street" performance in Turkey in February 2024, we highlight some of the ways demand data can aid entertainment executives to make more informed content acquisition, distribution, and programming decisions.
Content Valuation: How much is my series worth?
Content valuation is used to determine how much to spend on content. Parrot Analytics content valuation system is based on demand data and reveals the dollar value contribution of any title, to any platform, in any region. With "Ripper Street" audience demand 1.9 times greater than the Turkey average show over the last 30 days, and with 83% of its global demand from the UK, entertainment executives can use this data to perform a more accurate content valuation of the series.
Determining Travelability
The show's travelability reflects its international demand relative to the home market. In this case, the travelability is okay. With good demand from markets like Germany, Romania, and Australia, entertainment executives can use this data to aid in decision-making around how to optimize content production, create more diverse and accessible content for a global audience, and invest in deeper regional-specific audience understanding.
Optimal Release Strategy and Pricing
Ripper Streets' good demand in the mystery genre, good longevity, reasonable momentum, poor franchisability and good reach as demand improves in popularity show how crucial an understanding of consumer demand is when determining optimal release strategy and pricing. Studying the show's metadata, entertainment professionals can make informed decisions about when, where, and how to launch a particular series to maximize its success.
Competitive Benchmarking
Entertainment executives can also use demand data for competitive benchmarking to compare their content against other titles available on the market. Hence, the Turkish audience can compare the show against others in the mystery genre like Elementary and Father Brown and The Casketeers which is a factual program.
Subscriber Acquisition and Retention
Since demand data informs which titles can help subscriber growth and mitigate churn, entertainment executives can operate strategically by using the data to acquire and retain customers. The show's demand peaked at 4.2 times the average over 30 days, indicating significant and sustained growth. Hence, entertainment executives can make more informed decisions when deciding which TV show to buy if they want to maintain customer satisfaction and achieve growth.
In the end, using demand data to evaluate consumer preferences, demonstrate the potential value of specific TV shows or movies (franchiseability), and determine both market and genre-specific demand is a wise step for entertainment professionals. By doing so, they can make informed content decisions that enhance engagement and potentially increase ROI.
Ripper Street's travelability to Turkey in the last 30 days is 16%, which means that the audience demand for Ripper Street is 16% of the demand in its country of origin, United Kingdom. Click through to another market to discover how well Ripper Street travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC‘s Ripper Street 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 Turkey, 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 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 Ripper Street, for example, can be assessed for a market e.g. Turkey, which can then be benchmarked against genre averages (e.g. Mystery Drama), using our globally standardized Demand Expressions® metric.
This page has been amended on April 22, 2024, 2 p.m. PST using global tv demand datasets from Parrot Analytics for Ripper Street in Turkey. We provide our partners with far-reaching OTT know-how to help them drive better and more informed content advertising strategies. Contact us today to find out more.