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Using Demand Data to Make Informed Decisions: A Case Study of Weeds in Germany

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Parrot Analytics Insights - December 2023

As a TV executive, understanding the audience demand for a show is key to making informed decisions about content valuation, programming, distribution, and acquisition. Using "Weeds" as an example in Germany in December 2023, we can explore how demand data can help TV executives gain insights and make informed decisions.

One of the key benefits of using demand data is content valuation. By using global content demand and supply, Parrot Analytics' content valuation system can reveal the dollar value contribution of any title, to any platform, in any region. A TV executive can ask questions such as how much is the series worth, how much of the series' value is driven by a star, or what is the baseline value of the title. The data can then help them determine how much to spend on content. With "Weeds," we can see that its demand is good, with 2.7 times the audience demand of the average show in Germany over the last 30 days. The show has higher demand than 95.6% of all drama titles in Germany, and the show's longevity is outstanding.

Another way TV executives can use demand data is through acquisition decisions. By understanding which shows the current audience is already watching and what shows have similar fans, executives can identify potential shows for acquisition that will interest their current audience and attract new users. This type of data helps to answer questions such as what titles to buy to keep the current audience happy or which titles to buy to grow the audience. In the case of "Weeds" in Germany, we can see that fans of the show also like other titles such as "Law & Order: Special Victims Unit," "Rick and Morty," and "White Collar."

Additionally, TV executives can use demand data to inform programming decisions. By answering questions like what genres are most popular in a local market and what shows are ranking highest in demand, executives can tailor the content to specific regions and audiences. Demand data also powers optimal release strategies and pricing. In the case of "Weeds," we can see that demand spiked in early December, and the show experienced a 23.5% decrease in audience demand during December in Germany.

Finally, demand data can inform distribution decisions. By examining the top 10 global markets where "Weeds" is most in-demand over the last 30 days, executives can evaluate how well a show is performing relative to the average show in each of these markets. This data can help answer questions such as which platforms to target for distribution or which titles show the most opportunity for acquisition or production.

In conclusion, demand data provides insights into what shows are the most popular, what genres and themes are in demand, and what titles are performing well. The data can help TV executives with content valuation, acquisition decisions, programming decisions, and distribution decisions. By examining "Weeds" in Germany, we can see how demand data helps TV executives make more informed decisions and stay ahead of the competition.

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