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, there are a number of questions you can answer using audience demand data, like the demand data for "Will". Firstly, you can use demand data to assess the value of specific content, like "Will", and make informed decisions on whether to produce, acquire, or distribute it. For instance, Parrot Analytics' content valuation system uses demand data to assign a dollar value to any title, to any platform, in any region. You can also use demand data to value IP globally and determine which content resonates with which audience, and the potential revenue to be gained. For example, the 13.2 times audience demand uplift of "Will" above the average TV show in India highlights the extent of its popularity and could inform decisions on how to monetize this content.
Furthermore, demand data can inform optimal programming decisions by revealing what is popular with a particular audience or market, making it possible to determine which content to produce, acquire, or invest in. The data can reveal what genre of content is popular, as well as what elements of a product existing customers find appealing, to help guide upcoming productions. In addition, demand data can inform decisions about which titles to acquire or produce, or to introduce to the local market.
Demand data such as that for Will not only answers important strategic questions like how well a show has held up over time, or which titles are more engaging, but it can also help executives differentiate their offerings and maximize subscriber retention and acquisition. This is achieved by using demand insights to curate a tailored programming lineup that speaks to a specific audience's interests and preferences.
Lastly, demand data can be applied across six dimensions, including its worldwide audience demand, travelability, longevity, momentum, franchisability, and reach leading to a comprehensive understanding of content performance. "Will" has a good score on the franchisability metric, indicating it has spin-off potential, and a great score in longevity, meaning it has long-term demand.
In conclusion, using demand data, decision-makers can make more informed decisions regarding content choices, distribution, marketing, and budget allocation leading to optimal results. Demand data, as analysed in the case of "Will", is a powerful tool for entertainment executives and organizations looking towards future successes and growth.
Will's travelability to India in the last 30 days is 72%, which means that the audience demand for Will is 72% of the demand in its country of origin, United States. Click through to another market to discover how well Will travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular tnt‘s Will 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 India, 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 tnt 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 Will, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Historical Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:03 p.m. PST using tv demand analytics from Parrot Analytics for Will in India. We provide our partners with extensive TV insight to help them drive better and more informed content marketing strategies. Contact us today to find out more.