Demand data provides valuable insights for entertainment executives to make more informed decisions. Using the example of "Time After Time" in the US during January 2024, it is clear that understanding audience demand leads to better content valuation, acquisition, distribution, and programming decisions.
Content valuation can use demand data to assess the dollar value contribution of any title to a platform, regardless of region. In the case of "Time After Time", the show has 5.3 times the audience demand of the average show in the United States over the last 30 days, which indicates good demand. Furthermore, its peak demand in the last year was 9.2 times the average in the last 30 days, demonstrating an increase in popularity.
Demand data can be used in programming and distribution decisions as well. For instance, "Time After Time" achieved the peak rank of #999 in the United States but dropped in its rank by 663 spots during January 2024. This indicates that this show should receive further scrutiny. The Parrot Pulse for "Time After Time" shows that the show has good reach, which makes it more interesting to consider for distribution.
Demand data can aid in acquisition decisions and help determine the value of content being acquired or licensed. By comparing the performance of "Time After Time" on a 1 year rolling basis vs the last 30 days, it is evident that this show is becoming more popular, which could make it more valuable for acquisition.
Lastly, demand data can aid in long-term programming and content strategy. By examining the top 10 global markets where "Time After Time" is most in-demand over the last 30 days, we see that it performs better than the average TV show in each market. This insight can inform future investments and content strategy for expanding into global markets.
In conclusion, demand data can aid entertainment executives in making optimal decisions related to content valuation, acquisition, distribution, programming, and long-term content strategy. The use of audience demand insights like the ones provided for "Time After Time" can lead to an increase in the ROI of content investments and more informed content decision-making.
