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, using demand data can help you make informed content decisions that are crucial for your business. By looking at "The Good Life," a popular UK show, for instance, demand data can help you make content, acquisition, distribution, and programming decisions.
Content valuation: Content valuation is a vital process that requires the use of demand data. You can use demand data to assess the value of a content library to a platform over time, the baseline value of a title, and the value of exclusivity. For example, by using the Parrot Analytics content valuation system, you can determine how much to spend on content. Based on the demand data, the system reveals the dollar value contribution of any title to any platform in any region, which can help you make informed content decisions.
Subscriber retention and acquisition: Demand data can help you make decisions concerning subscriber retention and acquisition. For example, you can use the Parrot Analytics content valuation system to calculate the ROI a particular title will bring for any given platform. Using demand data can also help you assess a TV series' ability to drive subscriptions and mitigate churn. By examining the demand for "The Good Life" over the last 30 days, you can see that demand decreased in the UK by 25.8%. This means that the show experienced a decline in viewership, which can potentially lead to higher churn rates. Therefore, understanding the demand in your market can help you make informed decisions to keep subscribers happy or acquire more subscribers.
Optimal release strategy and pricing: The demand data can also help you make informed decisions about the optimal release strategy and pricing of your content. By examining the demand spike in mid-March 2024 for "The Good Life," you can tell that demand is high at that time. You can take advantage of this information to optimize your release strategy by airing new episodes during this period or any period the demand spikes for your content.
Mapping local whitespaces: By looking at the top 10 global markets where "The Good Life" is in demand, you can map local whitespaces. The local markets where "The Good Life" is most popular may suggest that the show will be popular in other similar areas or markets. However, demand data can help you identify the most popular genres in your local market or any market in the world, which can help you make informed content decisions.
Franchisability: The demand data can also help you determine the spin-off potential of your content. In the case of "The Good Life," its franchisability is rated poor, which may suggest that future spin-offs or franchises are less likely to be successful. Therefore, understanding the demand for your content and its performance over time can help you make informed decisions about the potential spin-offs or franchises to pursue.
In conclusion, understanding the demand data for your content can help you make informed decisions about content valuation, subscriber retention and acquisition, optimal release strategy and pricing, mapping local whitespaces, and franchisability. Demand data can also help you understand your audience's behavior around your content and take advantage of the spikes in demand. Ultimately, using demand data can help you make informed decisions about your content, leading to better business outcomes.
This is The Good Life'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 The Good Life travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular BBC One‘s The Good Life 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 One 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 The Good Life, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been updated on April 17, 2024, 2:02 p.m. PST using demand content analytics from Parrot Analytics for The Good Life in the United Kingdom. We provide our partners with smart television analyses to help them drive better and more informed content partnership strategies. Contact us today to find out more.