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Unlocking the Power of Demand Data for TV Executives: A Case Study of 'New Girl' in the UK

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Parrot Analytics Insights - August 2023

If you're a TV executive and you're wondering how demand data can help you make more informed content, acquisition, programming, or distribution decisions, consider the case of "New Girl" in the United Kingdom for the month of August 2023.

One important use of demand data is content valuation. For instance, by using demand data, you can estimate the dollar value contribution of your series to any platform in any region. For example, "New Girl" has a demand that is 9.5 times higher than the average TV show in the United Kingdom, making it an outstanding performer. Knowing this information enables you to determine how much this series is worth and why it should be considered a strategic asset for any streaming platform.

Additionally, demand data helps you to determine the best release strategy and pricing strategy for your content. For example, the demand for "New Girl" is higher than its average demand in August, indicating that a promotional campaign activity could be a good strategy at this moment.

Demand data is also helpful in identifying the most popular genres in different regions. For instance, in the United Kingdom, the audience demand for "New Girl" is outstanding in the romance genre - higher than 99.3% of all romance titles. If you are considering acquiring or producing content in this genre, this information can be invaluable.

By examining the top 10 global markets where "New Girl" is most in-demand over the last 30 days, we can find out which regions to target for distribution. For example, "New Girl" outperforms the demand of the average TV show in the markets of Canada, Netherlands, Germany, China, Spain, South Africa, and Brazil. Knowing where your content is most in demand can help you decide where to allocate your resources.

To summarize, the demand data for "New Girl" showcases that it is well positioned in the United Kingdom and globally, and can aid TV executives in determining the value of the content, planning acquisition, promotion, and distribution strategies for this content.

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