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Unlocking the Power of Demand Data: How Execs Can Make More Informed Decisions Using 'Married At First Sight (UK)' as a Case Study

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Parrot Analytics Insights - October 2023

Content valuation uses demand data to answer important questions such as how much a TV series is worth and what its baseline value is. Based on an analysis of "Married at First Sight (UK)" regarding its demand data in October 2023 in Australia, several insights can be applied to help entertainment executives make more informed decisions.

One critical question is how much a show is worth, and the high demand for "Married at First Sight (UK)" indicates that it has substantial value to any platform in any region, making it a lucrative acquisition target.

Another question executives may have is how to best allocate funds for content investments, and the significant increase in demand for the show in Australia during October 2023 is a good indication that the show is a worthy investment opportunity. Furthermore, with the show ranking in the 99.5th percentile in the romance genre and fans of the show enjoying other romance titles, this insight can inform content acquisition decisions.

When selecting shows for a specific platform or network, executives would want to understand audience preferences in their target market. The analysis shows that the show's demand in Australia spiked in late October 2023, indicating that the local audience has an interest in "Married at First Sight (UK)".

By comparing the performance of "Married at First Sight (UK)" on a 1-year rolling basis vs the last 30 days, the executives can ascertain that the show has gained popularity recently, suggesting that it could yield higher ROI in the short term. Finally, the show's high-demand ranking in the United Kingdom and New Zealand indicates that these could be lucrative markets to distribute the show.

These insights demonstrate the potential of demand data to inform and guide the decision-making process of executives in the entertainment industry. By understanding audience preferences, executives can make more informed content decisions, improve monetization opportunities, and plan their content rollout accordingly.

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