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Using Demand Data to Make Informed Content and Distribution Decisions: A Case Study on Noticiero Telemundo

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What is Demand? Why Demand? Industry Products Insights
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Parrot Analytics Insights - January 2024

As an entertainment executive, you need to make content acquisition and distribution decisions that will keep your platform's audiences happy and engaged. And using demand data can help you make more informed decisions. Let's use the example of "Noticiero Telemundo" and see how demand data could have helped you make better decisions.

First off, demand data can be used to value content economically. In "Noticiero Telemundo's" case, it has a good demand of 7.1 times the average show in Canada over the last 30 days, which suggests it could be worth more to a Canadian OTT or SVOD platform. And "Noticiero Telemundo" has higher demand than 98.6% of all news titles in Canada, which is a strong indication of its value to Canadian audiences.

Demand data can also help with content acquisition decisions. If you're looking to acquire news content for your platform, you could use "Noticiero Telemundo's" demand data to assess how much to spend on the show and how its demand compares to other news titles in your target market. Additionally, demand data can help you identify whether there are any opportunity markets where the show is under-monetized and could be of value to your platform.

In terms of distribution decisions, you could use demand data to assess which platforms to target for distribution of the show. For example, since "Noticiero Telemundo" has outstanding demand in the United States and Puerto Rico, it might be a good idea to target platforms in those regions to expand its reach and capitalize on its popularity.

Demand data can also help optimize programming decisions. For instance, analyzing the show's travelability indicates that the show may have more international appeal, and you could explore ways to increase its global reach. And by monitoring the show's momentum and longevity, you can make better decisions about how and when to market the show to keep it as a part of the cultural zeitgeist.

Finally, using demand data can help identify what types of content are resonating most with your current audience and what you need to do to keep your current audience happy and attract new subscribers to your platform. By analyzing what titles fans of "Noticiero Telemundo" also like, you can identify other shows to acquire or distribute that may keep your current audience engaged or attract new audiences to your platform.

In conclusion, demand data can help entertainment executives make better content acquisition, distribution, and programming decisions that can attract and retain subscribers, increase engagement, and expand a platform's reach. And the case of "Noticiero Telemundo" is a prime example of how demand data can inform a range of decision-making processes while also helping to economically value content.

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