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 provides actionable insights to help entertainment executives make informed decisions around content, acquisition, distribution, and programming. For example, let's examine how demand data for "Married At First Sight (US)" in the United Kingdom during February 2024 can provide insights for content valuation and programming decisions.
One of the first insights we can gather from demand data is how popular a show is relative to the market average. "Married At First Sight (US)" had 7.7 times the demand of the average show in the United Kingdom over the last 30 days, indicating good demand for the show. This information is part of content valuation since it shows the dollar value contribution of the show to any platform in a region.
Another insight from the data is comparative analysis – what other shows are similar in terms of engagement and what shows are rising through the ranks. We can see which titles fans of the show also like. For "Married At First Sight (US)," these titles are "Married At First Sight (AU)," "Married At First Sight (UK)," and "Bachelor in Paradise (US)." This analysis can help SVOD platforms or linear networks tailor programming around popular themes and genres, increasing engagement and reducing churn.
Demand data also feeds into acquisition and distribution decisions. Understanding where demand is highest across different geographic regions or different platforms can help make informed decisions about licensing and distribution agreements. In the case of "Married At First Sight (US)," we know that it has outstanding demand in the US, compared to other global markets, and the UK has good demand for the show. This information can help a content distributor decide where to license a title for maximum revenue and viewer numbers.
In terms of programming decisions, we can use demand data to optimize programming release schedules. For example, we can see that demand for "Married At First Sight (US)" spiked in late February 2024 in the UK. This information can help network executives choose the optimal time to release new episodes of a series or even bring a series to new audiences to stream in that region.
Another key benefit of demand data is audience insights that can be obtained. We can use this data to understand who is watching our shows, where they are located, and what other content they may be interested in. Knowing your audience is key to keeping them engaged and satisfied. A practical example of using audience insights could be to focus the marketing of the show on niche genre fans that consume romantic shows, ensuring greater targeting and return on advertising investment.
In summary, demand data can provide actionable insights into content valuation, acquisition, distribution, and programming decisions. Used intelligently, this data can help entertainment executives make informed decisions that can drive growth, engagement, and revenue.
Married At First Sight (US)'s travelability to the United Kingdom in the last 30 days is 65%, which means that the audience demand for Married At First Sight (US) is 65% of the demand in its country of origin, United States. Click through to another market to discover how well Married At First Sight (US) travels internationally.
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Acquire the best shows from partners such as lifetime to fortify your competitive position in the United Kingdom. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Married At First Sight (US)), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Deploy high impact entertainment marketing strategies across all genres including Reality. Contact us now to deploy demand-driven marketing, the only empirical earned media measure of your marketing spend. Access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles such as Married At First Sight (US), including those that have not even been released. Appeal to your target markets, including the United Kingdom, based on audience interests, enabling the personalization of campaigns to capitalize on pre-release demand.
Our TV audience measurement dataset is truly global. Discover how popular lifetime‘s Married At First Sight (US) 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 Kingdom, 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 lifetime 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 Married At First Sight (US), for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Romance Reality), using our globally standardized Demand Expressions® metric.
This page has been updated on March 28, 2024, 8:46 p.m. PST using tv demand metrics from Parrot Analytics for Married At First Sight (US) in the United Kingdom. We provide our partners with far-reaching SVOD insight to help them drive better and more informed content acquisition strategies. Contact us today to find out more.