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.
Demand data provides valuable information to entertainment executives across the industry, from OTT platforms to TV production companies. For example, let's take the case of "Cuando Me Enamoro", a popular Spanish romance show. By analyzing "Cuando Me Enamoro" data, we can demonstrate how demand data can help inform content valuation, programming decisions, and distribution decisions.
Firstly, demand data enables content valuation. Executives can use demand data to evaluate show worth, for example asking questions such as "how much is my series worth?", "what is the baseline value of a title?", or "what is the value of a content library to a platform over time?" By using Parrot Analytics' content valuation system, executives can gain economic valuations based on global content demand and supply.
Next, detailed insights from demand data can influence programming decisions. By analyzing data such as peak ranks, audience demand, and its momentum, executives can determine whether a show is holding the audience's interest, or if it's decreasing in popularity, and make necessary changes. For instance, demand data can guide executive decisions to program as per the genre that's resonating well with its local audience, leading to more programming with a higher success rate rate.
Finally, demand data can shape distribution decisions. By examining the show's performance in top global markets, executives can make an informed decision on where to distribute the show next. For instance, if it turns out "Cuando Me Enamoro" is in high demand in Brazil, executives would be more inclined to explore distribution in Brazil. Travelability data can also indicate if a show will be successful in a new market by analyzing its international demand relative to its home market.
Overall, demand data offers valuable insights into the performance of a show, its audience's preferences, and enables executives to make more informed decisions. Whether it’s content valuation, programming decisions or distribution strategies, demand data makes it possible for executives in the entertainment industry to make informed decisions that are grounded in real-time audience demand.
Cuando Me Enamoro's travelability to Spain in the last 30 days is 25%, which means that the audience demand for Cuando Me Enamoro is 25% of the demand in its country of origin, Mexico. Click through to another market to discover how well Cuando Me Enamoro travels internationally.
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Acquire the best shows from partners such as Las Estrellas to fortify your competitive position in Spain. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Cuando Me Enamoro), including those that have not even been released. Leverage a return-focused selection criteria for title acquisition by incorporating country-specific trend and market demand factors.
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Our TV audience measurement dataset is truly global. Discover how popular Las Estrellas‘s Cuando Me Enamoro 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 Spain, 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 Las Estrellas 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 Cuando Me Enamoro, for example, can be assessed for a market e.g. Spain, which can then be benchmarked against genre averages (e.g. Soap Opera), using our globally standardized Demand Expressions® metric.
This page has been regenerated on April 18, 2024, 2:03 p.m. PST using global tv demand content analytics from Parrot Analytics for Cuando Me Enamoro in Spain. We provide our partners with extensive TV know-how to help them drive better and more informed content advertising strategies. Contact us today to find out more.