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, you can leverage demand data to make informed decisions surrounding content valuation, acquisition, distribution, and programming for your OTT or SVOD platform. For instance, let's take the case of "Bigg Boss Telugu", a popular reality show in India. With demand data, we can gain insights into how the show is performing and what factors are driving audience engagement.
Content Valuation: You can use demand data to determine how much value a show like "Bigg Boss Telugu" has for your platform. By calculating the dollar value contribution of a title, you can estimate the ROI a specific title will bring for your platform and assess its ability to drive subscriptions and mitigate churn.
Acquisition & Distribution: You can use demand data to identify opportunities for content acquisition or production. For instance, analyzing audience demand for different genre types can help identify what type(s) of content will be in high demand among subscribers, thus informing acquisition decisions. Furthermore, mapping local whitespaces and pinpointing specific regions where the show is in high demand can help inform the distribution strategy.
Programming Decisions: By using demand data, you can gather insights into audience preferences, tastes, and viewing patterns. For instance, you can analyze which elements of an existing content fans like the most and use this information to optimize upcoming productions for success. Additionally, by understanding which titles are most popular in different markets, you can make strategic programming decisions like scheduling the show during prime viewing hours.
Comparative Analysis: You can leverage demand data to compare the performance of "Bigg Boss Telugu" with other shows in the market. This can help you set benchmarks for the show's performance and identify opportunities for improvement.
In conclusion, demand data is a valuable asset for entertainment executives looking to make informed decisions surrounding content valuation, acquisition, distribution, and programming. By analyzing audience demand for titles like "Bigg Boss Telugu", executives can identify opportunities for growth, optimize their content offerings, and better understand their audience.
This is Bigg Boss Telugu (బిగ్ బాస్)'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 Bigg Boss Telugu (బిగ్ బాస్) travels internationally.
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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 Star Maa 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 Bigg Boss Telugu (బిగ్ బాస్), for example, can be assessed for a market e.g. India, which can then be benchmarked against genre averages (e.g. Housemates Reality), using our globally standardized Demand Expressions® metric.
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