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, you face a constant challenge of making informed content decisions that would lead to success. One of the ways to make these decisions is through the use of demand data. With the analysis of "Sort Of" in Canada, we can see the different ways demand data can be used to help guide content, acquisition, distribution and programming decisions.
Firstly, content valuation is one of the most notable ways that demand data can be used. You can use Parrot Analytics' content valuation system to determine how much a particular title is worth and its contribution to a platform. "Sort Of" has demand 3.5 times the average show in Canada over the last 30 days. This indicates that this show has high demand, resulting in a high economic value. However, the fact that its demand has been decreasing recently should be taken into account when determining its true value.
Another use of demand data is to inform acquisition decisions. Knowing that the demand for "Sort Of" has been decreasing recently can influence whether you decide to acquire this title or not. Additionally, knowing which shows are similar to "Sort Of" can help you acquire complementary content that appeals to the same audience.
Demand data can also help with programming decisions. For instance, you can use the demand information to identify shows that would appeal to your target audience and arrange your programming schedule accordingly. In this case, knowing that "Sort Of" has higher demand in Canada can guide the decision to schedule the show at times that would be convenient to the target audience.
Distribution decisions can also benefit from demand data. In the case of "Sort Of", we see that the show's travelability is poor, indicating a low global appeal. This information can help guide distribution decisions, especially if you're planning on taking the show international. You can either invest in improving its travelability or focus on getting other titles with higher travelability to appeal to a wider audience.
Finally, demand data can help you make informed content decisions by providing insights into the show's global performance. "Sort Of" is doing well in Canada, with audience demand 2.9 times the average. However, it is doing poorly in terms of longevity and franchisability, indicating a need to improve the show's overall appeal and spin-off potential. You can take these factors into account when making content decisions related to "Sort Of."
In conclusion, demand data plays a significant role in a TV executive's strategic decision-making process. From content valuation and acquisition decisions to programming, distribution and content decisions, demand data is a valuable tool in guiding these decisions. Despite the diversity of our customers, Parrot Analytic's data-driven platform ensures that all TV executives can make informed decisions based on accurate data insights.
This is Sort Of'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 Sort Of travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular CBC‘s Sort Of 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 CBC 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 Sort Of, for example, can be assessed for a market e.g. Canada, which can then be benchmarked against genre averages (e.g. Sitcom), using our globally standardized Demand Expressions® metric.
This page has been enhanced on April 22, 2024, 2 p.m. PST using tv demand data from Parrot Analytics for Sort Of in Canada. We provide our partners with extensive entertainment industry competencies to help them drive better and more informed content acquisition strategies. Contact us today to find out more.