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 be used to make informed content-related decisions by executives in the TV industry. By examining the performance data of the show "New Amsterdam (2018)" in Canada for the month of March 2024, it is apparent that an outstanding level of crowd demand translates to success in the industry.
Content Valuation: Content valuation can be enabled using demand data by answering questions like; How much is my show worth? Content valuation can be applied to any individual series or an entire library, which implies that content on any streaming service can be appraised through content valuation. Content valuation can calculate the estimated ROI for a given platform based on marginal revenue contribution and a show’s ability to drive subscriptions and mitigate churn.
Subscriber retention and acquisition: Executives can use demand data to make decisions regarding subscriber retention and acquisition. By analyzing the show’s popularity in the Canadian market, executives can determine if investing in the show will aid in retaining subscribers. Alternatively, if they find that audiences in new markets have developed demand for the show, executives can consider it for acquisition to grow their subscriber base.
Momentum: Demand data can be used to benchmark performance measures like momentum, which indicates the pace of growth for a given show. By analyzing this data over different periods such as the last 30 days or over a 1-year rolling period, executives can determine trends in momentum, and make decisions accordingly.
Travelability: Audience demand data can also be used to measure travelability, which quantifies an international show’s demand relative to its home market and assesses how well it performs globally. A show with outstanding travelability is more likely to be successful in an international market, making it a viable acquisition for OTT platforms or a distribution option for linear TV networks.
Franchisability and Longevity: Demand data also quantifies franchisability, measuring the spin-off potential of a show, and longevity, which measures how well audience demand is maintained over time. For instance, executives may use demand data to identify shows with potential spin-off opportunities. The performance data of "New Amsterdam (2018)" in Canada for the month of March 2024 indicates the show has outstanding longevity and outstanding franchisability, making it a wise investment opportunity.
Reach: The number of people expressing demand for a show is its reach. By examining the top 10 global markets where "New Amsterdam (2018)" is most in-demand over the last 30 days, it is clear that the show outperforms the demand of the average TV show in each of these markets. This show's outstanding reach is indicative of its audience appeal and market potential for new regions.
Demand data can inform decisions on acquiring, distributing, programming, and content valuation by executives in the TV industry. By analyzing data on measures like longevity, travelability, momentum, and reach, executives can determine strategies to enter new markets, retain or acquire new subscribers and develop content. Content valuation, on the other hand, can be used to inform investment decisions and optimize ROI for individual series or an entire library.
New Amsterdam (2018)'s travelability to Canada in the last 30 days is 75%, which means that the audience demand for New Amsterdam (2018) is 75% of the demand in its country of origin, United States. Click through to another market to discover how well New Amsterdam (2018) travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular NBC‘s New Amsterdam (2018) 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 Canada, 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 NBC 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 New Amsterdam (2018), for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Medical Drama), using our globally standardized Demand Expressions® metric.
This page has been modified on April 19, 2024, 2:02 p.m. PST using global television demand metrics from Parrot Analytics for New Amsterdam (2018) in Canada. We provide our partners with meaningful television know-how to help them drive better and more informed content distribution strategies. Contact us today to find out more.