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Using Demand Data to Make Informed Content, Programming and Distribution Decisions: A Case Study of 'Grand Designs New Zealand'

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Parrot Analytics Insights - January 2024

As an entertainment executive, you can use demand data to make more informed content decisions for your TV network or streaming platform. By assessing the demand data for a particular show, you can evaluate its performance, potential audience or subscriber base, and financial value. "Grand Designs New Zealand" is an excellent example of how demand data can inform content decisions.

Firstly, demand data can be used to value content. Using a content valuation system based on demand data, you can estimate the dollar value contribution of "Grand Designs New Zealand" to your platform or network compared to other shows. With demand for "Grand Designs New Zealand" being 2.9 times the audience demand of the average show in the United States over the last 30 days, you can make informed decisions about how much to spend on the show, and whether it's worth investing in.

You can also use demand data to make better programming decisions. Being aware of the show's genre, documentary, and where "Grand Designs New Zealand" ranks within the genre (93.7th percentile), you can find other similar shows to build upon your programming strategy. In addition, knowing that demand for the show has increased in the United States by 9.4% in January, you can evaluate the best release time for the series to satisfy the audience's demand.

Furthermore, demand data can help with subscriber acquisition and retention decisions. You can identify which titles can help you attract new subscribers to your platform or keep current customers interested. With "Grand Designs New Zealand" performing well in many countries, including the US, UK, Canada, Germany, and Australia, it could be a series worth investing in to increase potential subscribers in those markets.

Finally, you can use demand data to inform distribution decisions. Using Travelability, which measures a show's international demand relative to its home market, you can evaluate whether the show has potential in other markets. The show has good demand across various countries, including Germany and Australia. You can use this data to evaluate if "Grand Designs New Zealand" would be likely to perform well if distributed to these countries or other countries with similar tastes in content.

In conclusion, demand data is a valuable tool that can inform strategic content decisions, programming choices, subscriber acquisition, retention, and distribution decisions that can impact profitability. With the use of demand data, entertainment executives can better position their platforms for success.

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