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 a TV executive, demand data is a valuable tool for making informed content and programming decisions. Let's use the example of "Shipping Wars," a real-life series featuring heavy-duty movers competing for jobs often avoided by traditional carriers, to demonstrate how demand data can be used to make better business decisions.
One of the most powerful insights that Parrot Analytics can provide is content valuation, which enables decision-makers to determine how much to spend on a title. By analyzing demand data, Parrot Analytics content valuation system can provide a clear understanding of how much a title is worth based on its contribution to any platform, in any region. In particular, demand data can help answer questions such as the value of exclusive content and how to assess a TV series' ability to drive subscriptions and reduce churn on a platform.
In the case of "Shipping Wars," we see that demand for the show is good, with 3.1 times the audience demand of the average show in Mexico over the last 30 days. This indicates that the show has strong popularity in Mexico, and would be a good acquisition for a Mexican TV network looking to grow its audience. Additionally, we can see that demand for "Shipping Wars" has been increasing in recent months, which suggests that the show's audience is growing.
Demand data can also offer insights into the type of content that will attract a particular audience and retain subscribers. By analyzing the cross-viewing patterns of audience members for "Shipping Wars," we can see that fans of the show also like "Ice Pilots NWT," "The Late Show With Stephen Colbert," "The Graham Norton Show," and other similar titles. This data could be used by a streaming platform when creating a curated list of recommended shows to its subscribers.
Demand data can also inform decisions on a show's reach and longevity. Parrot Analytics provides a measurement for both that can help in the decision making process. In the case of "Shipping Wars," we can see that the show is popular in international markets. Although the show has poor travelability, understanding the popularity of this show in the global market, particularly Germany, could lead to potential new distribution deals which could enhance the overall value of the show. Furthermore, longevity data for "Shipping Wars" shows that it has been maintaining audience demand over time, which suggests that it could be a reliable source of revenue for any platform that acquires it for streaming.
Finally, demand data can inform marketing and franchise development efforts. For example, Parrot Analytics can provide insights on franchisability and the spin-off potential of any given title. For "Shipping Wars," which has poor franchisability, this information could be used to explore alternative monetization opportunities or to focus on developing new shows with higher potential for franchising.
In summary, leveraging demand data is critical for making informed content decisions in today's complex entertainment industry. From content valuation to programming and marketing, Parrot Analytics provide data-driven insights that support confident decision-making and maximize the return on investment.
Shipping Wars's travelability to Mexico in the last 30 days is 84%, which means that the audience demand for Shipping Wars is 84% of the demand in its country of origin, United States. Click through to another market to discover how well Shipping Wars travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular a&e‘s Shipping Wars 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 Mexico, 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 a&e 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 Shipping Wars, for example, can be assessed for a market e.g. Mexico, which can then be benchmarked against genre averages (e.g. Lifestyle Reality), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 22, 2024, 2:02 p.m. PST using global tv demand metrics from Parrot Analytics for Shipping Wars in Mexico. We provide our partners with smart content workflows to help them drive better and more informed content acquisition strategies. Contact us today to find out more.