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, what insights can we gain from the demand data for "Looking" in March 2024 in India?
- Content Valuation principles that are based on the dollar value contribution of any title to any platform, in any region can be applied to “Looking” in India. Using demand criteria like peak demand, audience demand, as well as travelability and reach data, executives can estimate how much this series is worth to any platform, how well it drives engagement across the rest of the catalog, and how well it can drive subscriptions or mitigate churn.
- Content Acquisition and Distribution also benefit from demand data analysis. For instance, executives who are interested in acquiring titles to expand their content library can see which genre is resonating most with current audiences and what other titles they like, as well as fan affinity data. Using such data, executives can determine whether “Looking” may perform well within their acquisition selection criteria, as it has higher demand than 99.0% of all romance titles in India. The trend of lower demand during March requires further investigation, as does the spike in late March. Using longevity data, the executives can determine if the audience for “Looking” will remain engaged over a long period of time, while reach can help in determining the number of people expressing demand for this show in India.
- Programming Decisions can also be guided using demand data. By analyzing the shows “Looking” fans also like, executives can gain insights into the types of shows that their current audience likes. Moreover, executives looking to produce a new show can use demand data to test concepts and predict the best release strategy. In addition, affinity data on talent or brands can help executives in deciding the best partners to expand their audience. Furthermore, by looking at the top 10 global markets where "Looking" is most in-demand, executives can observe which regions have the highest demand for this show and deduce which new market or region to target next.
- Market Analysis is necessary before releasing any content. One can use demand analysis to observe how "Looking" performs in various countries and check travelability data to quantify the international demand relative to its home market. This can help in determining which type of content to produce or acquire with global appeal.
- Competitive Benchmarking is crucial in an industry that has numerous content providers. By checking in on the demand of competing titles against “Looking”, executives can determine how their show stacks up against the competition. Taking Germany for example, demand for “Looking” is good, while in Brazil, it’s just good compared to the demand of the average title in both countries.
Demand data is inexhaustible and can provide useful insights into how various titles are performing and resonate with audiences globally. Entertainment executives can make more informed acquisition, distribution, programming, and content decisions by analyzing such data and applying it to their strategic decision-making process.
Looking's travelability to India in the last 30 days is 26%, which means that the audience demand for Looking is 26% of the demand in its country of origin, United States. Click through to another market to discover how well Looking travels internationally.
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Our TV audience measurement dataset is truly global. Discover how popular HBO‘s Looking 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 HBO 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 Looking, for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Comedy Drama), using our globally standardized Demand Expressions® metric.
This page has been refreshed on April 22, 2024, 2:02 p.m. PST using television demand datasets from Parrot Analytics for Looking in India. We provide our partners with meaningful television industry analyses to help them drive better and more informed content marketing strategies. Contact us today to find out more.