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Maximizing Content Success with Demand Data: Lessons from Time After Time

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Parrot Analytics Insights - October 2023

As an entertainment executive, data is crucial in making content decisions and investments. Demand data provides valuable insights on audience preferences and helps executives make more informed content decisions, acquisition and distribution decisions, and programming decisions. In this instance, let's use the TV series "Time After Time" to illustrate how demand data can be leveraged to help executives make strategic business decisions.

Firstly, through examining demand data, it was determined that "Time After Time" has 5 times more audience demand than the average TV show in the US over the last 30 days. This indicates that the show has a good level of demand and suggests that it could potentially be a viable addition to any streaming service or TV network. Conversely, even though demand for this show is good, the trend over the last 90 days shows a decrease in demand. Hence, as an executive, it may be worthwhile to investigate this trend further to understand its root cause. Furthermore, "Time After Time" moved up its rank by 511 spots in October, indicating an increase in demand and competition against the other titles in its category.

Secondly, the Parrot Pulse provides a measure of the global performance of the series across dimensions such as audience demand, travelability, longevity, momentum, franchisability, and reach. One can use this Pulse to compare its performance to market averages. For "Time After Time", we determined that its travelability is poor while its reach is good. This information would be helpful in determining which market to release the show. Since its franchise potential is poor, it may not be worthwhile investing in spinoffs or expanding the franchise.

Thirdly, the data helped to uncover characteristics of the audience and the performance of the show. For example, it's fascinating to see that "Ghost Wars", "Vikings: The Rise And Fall", "The Book Of Boba Fett", "30 Coins (30 Monedas)", "Wynonna Earp", "The Name Of The Rose (Il Nome Della Rosa)", "The Librarians", "Star Trek: Prodigy" and "Tutankhamun" are shows that fans of "Time After Time" also like, indicating an audience preference for shows with similar themes. And while the US is the number one global market for the show, there are other markets where there's demand for the show (i.e., United Kingdom, Canada, Germany, etc.)

Lastly, the data helped to provide insights into the popularity of the show over time. In the past 30 days, demand for "Time After Time" increased by 27.3%, indicating that the show has seen a surge in popularity. Hence, it would be worthwhile investing in marketing efforts to sustain the growth trajectory and maintain audience demand.

In conclusion, demand data plays a vital role in content decisions. It allows executives to determine how much a show is worth, whether it has the potential to attract subscribers, which platform or market to focus on, and how to optimize content to achieve maximum impact. As shown in the case of "Time After Time," demand data provides insights relied upon by content distributors, creators, and investors to make thoughtful and strategic business decisions.

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