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're a TV executive looking to make informed content acquisition or distribution decisions, demand data is an essential tool to evaluate the performance of a given show. Taking "1,000 Ways To Die" as an example, the results of demand analysis can be used in several strategic decisions-making processes.
One of the primary features of demand data is content valuation. A platform's content valuation system should use demand data to determine how much a series is worth, how much of the series value is being driven by a particular star's demand, and what the value of a content library is to the platform over time. The Parrot Analytics content valuation system can establish the dollar value contribution of any title, to any platform, in any region based on global content demand and supply. Therefore, if you are an executive responsible for deciding how much to spend on new content, demand data can be used to set a price or help determine the ROI a specific title will bring to your platform.
Another way to use demand data is in supply and demand decision-making. An executive may ask what type(s) of content exhibit the opportunity to acquire or produce. If you're considering producing anthological documentary content like "1,000 Ways to Die," demand data can provide insights into what other content fans of the anthology genre tend to like or watch, including "90 Day Fiance: The Other Way." Moreover, by examining the top ten global markets where "1,000 Ways to Die" is in-demand within the last thirty days, as we have done, you can determine markets where the demand for a show is strong and decide how to enter into those markets.
Demand data can also be useful for programming decisions. An executive should know how the show is performing over time to ensure they are delivering programming to keep current subscribers happy and to attract new subscribers. By using demand data, you can determine how well "1,000 Ways To Die" is performing in comparison with other shows available in the market. In this case, the show has a good audience demand of 4.5 times the average TV show in the United States over the last 30 days, and demand has been increasing recently. Additionally, the momentum of the show is good, which is an indicator of how well it is growing, while franchisability is poor.
Pre-release marketing campaigns can be optimized by using demand data. With demand increasing in the mid-February 2024 spike, execs can optimize the marketing campaign for maximum audience impact before, during, and after the debut of the new season. Demand data can be used to identify the best talent, brand, or popular TV show that can expand the series' audience reach. It can also gauge the genre resonating most with their current audience and suggest which genres to focus on to attract new subscribers to the platform.
In summary, "1,000 Ways To Die" serves to illustrate the usefulness of demand data as a guide for strategic decisions for TV executives. It helps them uncover trends about the audience, quantify the marginal revenue contribution of a specific title, and optimize their pre-release marketing campaign. This data can provide insights on how to produce or acquire new content, how to alter the release strategy, and which direction to take the company next.
This is 1,000 Ways To Die'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 1,000 Ways To Die travels internationally.
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Acquire the best shows from partners such as Spike to fortify your competitive position in the United States. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. 1,000 Ways To Die), 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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Our TV audience measurement dataset is truly global. Discover how popular Spike‘s 1,000 Ways To Die 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 Spike 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 1,000 Ways To Die, for example, can be assessed for a market e.g. United States, which can then be benchmarked against genre averages (e.g. Suspense Horror), using our globally standardized Demand Expressions® metric.
This page has been adjusted on March 28, 2024, 11:05 p.m. PST using global demand content analytics from Parrot Analytics for 1,000 Ways To Die in the United States. We provide our partners with smart SVOD know-how to help them drive better and more informed content marketing strategies. Contact us today to find out more.