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 a TV executive, there are several ways in which demand data for shows such as "Diggstown" can be an important tool in making better-informed content decisions:
1. Content Valuation: Demand data is key to determining how much a specific title is worth to any given platform in any region. In the case of "Diggstown," the show has been performing well in the United Kingdom, with 3.1 times the audience demand of the average show in the region over the last 30 days. This can be used as a baseline value for the show and can inform any decisions regarding acquisition or distribution of the series.
2. Genre and Audience Analysis: Demand data can be used to identify which genres and audiences are resonating with viewers. In the case of "Diggstown," the show is performing well in the drama genre, ranking at the 94.2th percentile in the genre in March. Additionally, examining the top 10 global markets where "Diggstown" is most in-demand can provide insights into which regions and demographics are most interested in the show.
3. Pre-Release Marketing: The momentum dimension of demand data for "Diggstown" reveals the pace of growth in audience demand. Leveraging this information can help with pre-release marketing and campaign optimization.
4. Subscriber Acquisition and Retention: By using demand data to identify which titles are popular with audiences, TV executives can make better-informed decisions on which titles to acquire or produce to attract new subscribers to their platform. In the case of "Diggstown," the show has been performing well in the United Kingdom, with a recent 12.1% increase in demand, which can be used to inform decisions around subscriber acquisition and retention.
5. Competitive Benchmarking: Examining demand data for "Diggstown" against other titles available on the market can provide insight into how the show compares in terms of popularity. This information can be useful in making competitive decisions around programming and scheduling.
In summary, demand data for shows such as "Diggstown" can be a valuable tool for TV executives in making more informed content decisions, including content valuation, genre and audience analysis, pre-release marketing, subscriber acquisition and retention, and competitive benchmarking. By leveraging this data, executives can make more strategic decisions that maximize the potential of their content and drive business success.
Diggstown's travelability to the United Kingdom in the last 30 days is 147%, which means that the audience demand for Diggstown is 147% of the demand in its country of origin, Canada. Click through to another market to discover how well Diggstown travels internationally.
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Acquire the best shows from partners such as CBC to fortify your competitive position in the United Kingdom. Contact us now to access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles (e.g. Diggstown), 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.
Command your Drama genre niche with maximum net subscriber adds. Contact us now to harnesses audience demand data to gain insights for growing and keeping a subscriber base. Leverage a return-focused selection criteria for title acquisition from partners such as CBC by incorporating country-specific trend and market demand factors for all markets including the United Kingdom. Appeal to the individuality of your audience base, taking into consideration the unique and limitless characteristics of taste clusters.
Deploy high impact entertainment marketing strategies across all genres including Drama. Contact us now to deploy demand-driven marketing, the only empirical earned media measure of your marketing spend. Access audience taste clusters weeks ahead of a premiere, resulting in high impact campaigns for titles such as Diggstown, including those that have not even been released. Appeal to your target markets, including the United Kingdom, based on audience interests, enabling the personalization of campaigns to capitalize on pre-release demand.
Our TV audience measurement dataset is truly global. Discover how popular CBC‘s Diggstown 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 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 CBC 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 Diggstown, for example, can be assessed for a market e.g. United Kingdom, which can then be benchmarked against genre averages (e.g. Legal Drama), using our globally standardized Demand Expressions® metric.
This page has been modified on April 22, 2024, 2:03 p.m. PST using global demand content analytics from Parrot Analytics for Diggstown in the United Kingdom. We provide our partners with deep OTT expertise to help them drive better and more informed content distribution strategies. Contact us today to find out more.