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Unlocking the Power of Demand Data: How It Can Revolutionize Content Decisions for TV Executives

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Parrot Analytics Insights - February 2024

As a TV executive, it is crucial to have access to demand data to make informed decisions about content acquisition, distribution, and programming. In the case of "Touche Pas À Mon Poste !" in France during February 2024, Parrot Analytics' demand data insights could help executives gain new perspectives.

The outstanding demand of "Touche Pas À Mon Poste !", which was 30.0 times the audience demand of the average TV show in France over the last thirty days and only 2.7% of all TV shows, is a significant opportunity for executives. The increasing demand from 29.2 times the average demand over the last 90 days to 30.0 times indicates that the show's popularity is on the rise.

Executives could use Parrot Analytics' content valuation system to evaluate the worth of the TV show in terms of driving subscriptions and mitigating churn. It could be beneficial to calculate the ROI that a specific TV show will bring for any given platform and how much global appeal the title has compared to other titles in the genre, making it easier to decide on the distribution and programming of the show.

Demand data also enables executives to map the local whitespace and identify the most popular genres in the local market. Given that the Parrot Pulse score ranks "Touche Pas À Mon Poste!" is at the 99.9th percentile in the talk-show genre in France during February 2024, executives can determine that talk-shows are popular in France at that time. They could use this insight to their advantage by developing or acquiring talk-show content for their platform.

Moreover, audience demand data for a TV show could help executives track its performance globally and identify under-monetized titles. If an SVOD or OTT platform wants to cater to different regions globally, they could determine the popularity of TV shows and movies across countries and decide how to license content more effectively. By analyzing the show's demand in France, as well as globally, executives could decide which markets to target and identify potential revenue streams.

Finally, Parrot Analytics' demand data can inform decisions about release strategy, marketing, and optimizing campaigns ahead of the premier. For "Touche Pas À Mon Poste !" during February 2024, demand for the show spiked in mid-February, making it an opportune period to release or market the show.

In conclusion, the demand data from Parrot Analytics could help executives make informed decisions on content acquisition, distribution, programming, and marketing. The case of "Touche Pas À Mon Poste!" in France during February 2024 is excellent evidence of this, and it shows how demand data could be used to determine the content's worth and identify new opportunities.

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