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 an entertainment executive, understanding audience demand for a TV show can be a valuable tool in decision-making processes related to content acquisition, programming, distribution, or content valuation. Utilizing demand data from Parrot Analytics for the show "Daniel Tiger's Neighborhood" in Canada for February 2024, let us explore how entertainment executives can use the insights from demand data to help make more informed content decisions.
Firstly, content valuation requires a comprehensive understanding of how much value a TV show has and how much it can potentially drive engagement, subscriptions or reduce churn over time. Using demand data, like the 6.7 times above-average demand for "Daniel Tiger's Neighborhood," executives can estimate the value of the content for their platform and assess if the ROI of acquiring the TV series is worth it. Additionally, executives can use demand data to examine whether a certain title has a unique selling point (for example, the inclusion of a particular star or genre) and assess how this will affect the overall value of the series.
Demand data can also help inform programming decisions and acquisition decisions. Executives can track show progress in different geographic regions to assess if there is growing demand for a title, and if it is performing well, they can take advantage of the trends of the market. Using the case of "Daniel Tiger's Neighborhood," the data shows that demand decreased by 15.3% in Canada in February, enabling the executives to gain a better understanding of the state of the show's market in Canada and strategize on how to mitigate this behavior.
Moreover, executives can use demand data to uncover tastes clusters and genres that are resonating most with their current audience in a particular region or globally. For instance, Parrot Analytics reveals that "Daniel Tiger's Neighborhood" is ranking at the 98.0th percentile in the family genre in Canada, which means the show has higher demand than 98.0% of all family titles in Canada. This insight indicates that executives might want to consider looking into acquiring other similar shows in the same genre or maybe target audiences of the same demographic.
Lastly, through understanding audience demand, executives can structure an optimized release strategy and pricing plan based on the demand of the show in different market regions. The insight that the top 10 global markets that are most in-demand for "Daniel Tiger's Neighborhood" perform above average could present an opportunity for targeting those markets heavily and optimizing the show's campaigns in those countries.
Using demand data is a powerful way to enable executives to make informed decisions in a constantly changing market environment. The diverse insights that can be gathered, can be used to help determine how many subscriptions a show may achieve and what its overall monetary value is. Understanding what is being demanded ultimately leads to more effective decisions that will ensure content executives focus better on titles that resonate with audiences and display a pro-active approach to answering both short-term and long-term strategic questions.
Daniel Tiger's Neighborhood's travelability to Canada in the last 30 days is 37%, which means that the audience demand for Daniel Tiger's Neighborhood is 37% of the demand in its country of origin, United States. Click through to another market to discover how well Daniel Tiger's Neighborhood travels internationally.
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Acquire the best shows from partners such as PBS to fortify your competitive position in Canada. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Daniel Tiger's Neighborhood), 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.
Command your Children genre niche with maximum net subscriber adds. Contact us now to harnesses audience demand data to gain insights for growing and keeping a subscriber base. Leverage a return-focused selection criteria for title acquisition from partners such as PBS by incorporating country-specific trend and market demand factors for all markets including Canada. Appeal to the individuality of your audience base, taking into consideration the unique and limitless characteristics of taste clusters.
Deploy high impact entertainment marketing strategies across all genres including Children. 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 Daniel Tiger's Neighborhood, including those that have not even been released. Appeal to your target markets, including Canada, 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 PBS‘s Daniel Tiger's Neighborhood 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 Canada, 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 PBS 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 Daniel Tiger's Neighborhood, for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Pre-School), using our globally standardized Demand Expressions® metric.
This page has been modified on April 22, 2024, 2:02 p.m. PST using global television demand data from Parrot Analytics for Daniel Tiger's Neighborhood in Canada. We provide our partners with meaningful subscription-video-on-demand insight to help them drive better and more informed content distribution strategies. Contact us today to find out more.