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're making strategic decisions that can either make or break your business. Using demand data can help you make informed content, acquisition, distribution, and programming decisions that yield favourable outcomes for your company. That said, let's take a look at how demand data can inform your decision-making process using "Golden Boy (Yali Çapkini)" for the month of October 2023 in the United Kingdom.
Content Valuation: Using demand data, you can determine how much to spend on content. In this case, Parrot Analytics' content valuation system based on demand data can calculate how much "Golden Boy (Yali Çapkini)" is worth to any platform in the United Kingdom market and beyond.
Optimal Release Strategy and Pricing: Demand data enables executives to determine the best release strategy for their content. In this case, demand for "Golden Boy (Yali Çapkini)" spiked in late October, indicating that a strategic release of episodes could be timed around periods of high demand. Additionally, by comparing the performance of the show on a 1-year rolling basis to the last 30 days, executives can identify trends in demand that affect their pricing strategy.
Subscriber Retention and Acquisition: Demand data can inform decisions on which titles to buy or produce that will help in retaining current subscribers and attracting new ones to the platform. For example, if "Golden Boy (Yali Çapkini)" appeals to the audience of a particular SVOD platform, the executives can use the show to retain the existing audience while also attracting new subscribers interested in this type of content.
Supply and Demand Decisions: By considering information such as travelability, which quantifies a show's international demand relative to its home market, executives can identify opportunities to acquire or produce content that exhibits opportunities for growth in new markets.
Content Discovery and Recommendations: Demand data powers discovery and recommendation engines, such as those used by streaming platforms to suggest content to their audiences. The higher the demand for a show like "Golden Boy (Yali Çapkini)," the more likely it is that it will be recommended to viewers of similar shows or genres.
Competitive Benchmarking: When executives compare the performance of "Golden Boy (Yali Çapkini)" against other titles available on the market, they can adjust their strategy, such as adjusting the show's schedule, promotional deals and partnerships to build more momentum, momentum rely too much on a show's popularity, which sometimes depreciates over time.
In conclusion, executives can leverage demand data to make informed decisions about their content, acquisition, distribution, and programming strategies. In the case of "Golden Boy (Yali Çapkini)" in the United Kingdom market, demand data indicates rising trends in demand, which presents opportunities for executives to optimize revenue-with a calculated approach to strategic positioning and careful consideration- they can reach and gain a loyal audience.
Golden Boy (Yali Çapkini)'s travelability to the United Kingdom in the last 30 days is 18%, which means that the audience demand for Golden Boy (Yali Çapkini) is 18% of the demand in its country of origin, Turkey. Click through to another market to discover how well Golden Boy (Yali Çapkini) 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 the United Kingdom, 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 TV 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 Golden Boy (Yali Çapkini), for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Soap Opera), using our globally standardized Demand Expressions® metric.
This page has been renewed on Nov. 30, 2023, 1:02 p.m. PST using global tv demand content analytics from Parrot Analytics for Golden Boy (Yali Çapkini) in the United Kingdom. We provide our partners with meaningful media industry expertise to help them drive better and more informed content distribution strategies. Contact us today to find out more.