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Maximizing Engagement and Revenue: How Demand Data is Revolutionizing TV Content Strategies

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Parrot Analytics Insights - January 2024

As an entertainment executive, you can use demand data to make informed content decisions that maximize user engagement, optimize pricing and release strategies, and help acquire and retain subscribers. For instance, take "Dexter: New Blood" in Australia in January 2024. The show has performed relatively well with an audience demand that is 4.6 times the average show in Australia over the last 30 days.

One of the key questions content valuation helps to answer is the baseline value of a title. In the case of "Dexter: New Blood", by using demand data, you can quantify the platform-specific marginal revenue contribution. You can also estimate the ROI the show will bring to your platform. Additionally, you can assess the show's ability to drive subscriptions and mitigate churn.

Using demand data, you can determine the show's value if presented to another streaming platform. You can also determine how much to spend on the content. The dollar value contribution of "Dexter: New Blood" to the platform, in this case, Australia, is evident from its outstanding demand, which is above average compared to most TV shows in the country.

Demand data can also help you optimize your marketing campaign ahead of the premiere by providing insights into fan preferences, audience behavior across different markets, and the best partnership opportunities. By examining audience preferences for "Dexter: New Blood" in Australia, we discovered that the show's fans also tend to like "House Of The Dragon," "Rick And Morty," "The Boys," "The Mandalorian," "The Wheel Of Time," "Loki," "The Lord Of The Rings: The Rings Of Power," "Better Call Saul," and "Foundation" in that order.

Furthermore, we uncovered that the travelability rating for the show is good, and it has spin-off potential as its franchisability rating is good. An assessment of how the show is doing in other countries indicated an outstanding rating in France where demand is 11.6 times the average TV show; this information could prove useful if the executive is exploring potential expansion into France.

In conclusion, demand data helps entertainment executives to conduct competitive benchmarking, assess their audience's preferences, optimize pricing and release strategies, and identify opportunities to acquire or produce content. It can also help you to better retain your subscribers and acquire new ones, expand your market, and monetize your IP.

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