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Maximizing TV Content Decisions Using Demand Data: A Case Study on 'Desperate Housewives' in Brazil

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Parrot Analytics Insights - December 2023

As a TV executive, demand data can help you make informed content, acquisition, distribution, and programming decisions. For instance, Parrot Analytics measures demand for TV shows, and our content valuation system powered by global demand and supply data can help estimate the value of a title in any region, so you can make data-driven decisions on how much to spend on content, forecast customer lifetime value, and maximize return on investment.

Analyzing December 2023 for Brazil, we see that overall, the demand for “Desperate Housewives” is good, 2.2 times higher than the average show in Brazil in the last 30 days. Only 8.6% of all TV shows match this level of demand, demonstrating the popularity of the show. Moreover, compared to its demand over the last 90 days, demand for the show increased recently. Also, the audience for "Desperate Housewives" dropped in its rank by 530 spots during December 2023 in Brazil; however, it has a high global performance across six dimensions.

The show’s performance across six dimensions can also help make informed programming decisions. For instance, its reach is outstanding, and the show has maintained a high level of audience demand, indicating that it appeals to a wide group of people and can help acquire new subscribers. On the other hand, the franchise’s spin-off potential is good, but its travelability, the way it travels across the globe, is just decent, so executives can consider their strategy appropriately. Also, comparing the past year's demand with the last thirty days, we see demand for the show increased from 1.2 times the average title to 2.2 times the average title, meaning it has gained popularity, especially in the last 30 days.

Furthermore, understanding the show's audience and how the show compares to other shows in different markets is crucial. In December, the show’s global audience demand is 18% of that in the United States, and Russia is its number one market globally, followed by the US. It is vital to understand where the audiences are, how the demand compares to other shows and who the show appeals to.

Ultimately, demand data can help executives with decisions regarding supply and demand, subscriber acquisition and retention, content valuation, and strategic decisions. Understanding such an analysis is highly beneficial as these metrics offer valuable insight into both the show's past, and potential, future global success.

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