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 are an entertainment executive, this analysis of "Himalaya With Michael Palin" in conjunction with our powerful demand data can offer valuable insights to help with content valuation, acquisition, distribution, and programming decisions.
One of the main advantages of demand data is that it allows you to evaluate the value of existing content. With our system, you can use demand data to determine how much a series is worth, which can inform content valuation and acquisition strategy. For instance, based on demand data from this analysis, "Himalaya With Michael Palin" is a valuable show with 2.2 times the average demand of a typical show in the United Kingdom over the last 30 days. The show has also been increasing in popularity, with demand of 1.8 times the average over the last 90 days. These insights can inform strategic decisions around licensing and further promotion of this content in the United Kingdom and beyond.
Another powerful way to use demand data is to evaluate the potential of new content. For example, if you are considering producing a travel TV show, you could benchmark demand for "Himalaya With Michael Palin" against potential competitors in the documentary genre, pinpointing the most popular genres in your local market. This could help you identify the best concepts for future productions with strong potential to attract and retain viewers.
Demand data is also valuable for understanding audience behavior and preferences. You can use this to analyze which elements of the show were most popular with viewers, gain insights into the most popular talent, and evaluate the potential for expanding IP through the development of franchises and spin-offs. For instance, examining Parrot Pulse data for "Himalaya With Michael Palin" shows that this show has poor franchisability and travelability. However, its momentum and reach are okay, which suggests specific audiences could be targeted to increase the show's viewing and potential in other markets.
With demand data, you can also find new distribution opportunities based on the demand for particular titles to further monetize catalog content or inform programme acquisition decisions. By analyzing the performance of "Himalaya With Michael Palin" in different markets, we find that it is most in-demand in Brazil, with a good audience demand of 2.2x the average. This insight could inform strategies aimed at expanding the show's international reach beyond typical domestic audiences.
Overall, when used strategically, demand data provides a comprehensive and detailed picture of the content landscape, enabling executives to evaluate performance, assess the value of content, and make more informed decisions around content acquisition, distribution, and programming. Parrot Analytics' content valuation system, fueled by global content demand and supply, can also support content and acquisition decisions by providing a clear economic valuation of titles based on their demand data.
This is Himalaya With Michael Palin'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 Himalaya With Michael Palin travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC Two‘s Himalaya With Michael Palin 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 BBC Two 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 Himalaya With Michael Palin, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Travel Documentary), using our globally standardized Demand Expressions® metric.
This page has been modified on April 22, 2024, 2:02 p.m. PST using global tv demand content analytics from Parrot Analytics for Himalaya With Michael Palin in the United Kingdom. We provide our partners with comprehensive television know-how to help them drive better and more informed content sales strategies. Contact us today to find out more.