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.
If you work in the entertainment industry, you would know that successful programming decisions rest on knowing your audience well. Demand data can provide valuable insights concerning what your audience wants to watch, how much they want it, and where they want it. Let's consider the example of "Perfect Match" to illustrate how demand data analytics can assist in making more informed content decisions.
Content Valuation:
One of the most significant advantages that demand data offers is the assessment of content value. Parrot Analytics’ content valuation system uses demand data to appraise the appeal of a title to a platform and shows how much value the title contributes to the platform. For instance, the value of "Perfect Match" to SVOD platforms like Netflix or Hulu can be assessed using demand insights from the past month and distinguished from its performance over the entire year.
Question to consider: How much is "Perfect Match" Worth right now, and what proportion of its value is being driven by genre?
Optimizing Content Launch:
Demand data can help entertainment executives determine the optimal time to launch or release a title. For instance, demand insights show that "Perfect Match" experienced a demand spike in mid-March. This may indicate that a marketing push ahead of the release could result in capturing more audience attention.
Question to consider: What is the best release strategy for "Perfect Match," and how can a marketing plan be optimized to drive more engagement?
Content Acquisitions:
Demand data can assist in making informed acquisitions decisions by investigating which genres, territories and titles resonate well with viewers and can drive growth. In the case of "Perfect Match," executives may want to supplement the content library with other shows that appeal to the same audience as they seek to keep them engaged and reduce churn.
Question to consider: What type of content can we acquire to complement "Perfect Match" and increase subscriber retention?
Content Programming and Scheduling:
Programming and scheduling decisions are at the forefront of a TV executive's mind, and demand analytics can be applied to make data-driven decisions concerning when to air a title and in which territory to guarantee maximum engagement. In the case of "Perfect Match," understanding which territories are it's most successful will give executives insight into where it will be most successful in the market.
Question to consider: "Perfect Match" is most popular in the United States, so should our programming decisions target viewership in this territory?
Demand data is a powerful tool in the entertainment industry to make data-driven decisions. In the case of "Perfect Match," demand insights reveal that the show is doing well in the United States and prompts questions like what content to complement "Perfect Match" and the optimal time to release new episodes in the appropriate regions. By leveraging demand data, partners can make informed decisions about the content they choose to work with, the markets they enter, and ultimately the top-level success of their business.
This is Perfect Match's home market and therefore its travelability is 100%; the travelability of a TV show's market of origin is always 100%. Click through to another market to discover how well Perfect Match travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular Netflix‘s Perfect Match 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 the United States, 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 Netflix 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 Perfect Match, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Romance Reality), using our globally standardized Demand Expressions® metric.
This page has been reconstructed on April 22, 2024, 2:01 p.m. PST using global demand datasets from Parrot Analytics for Perfect Match in the United States. We provide our partners with valuable entertainment industry competencies to help them drive better and more informed content acquisition strategies. Contact us today to find out more.