If you are an entertainment executive, then "Dead To Me" is an excellent example of how demand data can help you make more informed content, acquisition, distribution, and programming decisions. As the demand for "Dead To Me" is 7.5 times higher than the average TV show in the United States over the last 30 days, it shows that there is good audience demand for the show. If you compare this demand to the last 90 days, the demand has been increasing recently. This suggests that "Dead To Me" remains fresh in people's minds.
The good thing about demand data is not just measuring popularity but also providing insight into areas where the show could grow. For example, there is an opportunity to increase demand in Russia and South Africa, where the demand is only "okay." Therefore, through regional expansion or marketing campaigns, the show's potential for growth could be maximized.
The Parrot Pulse rating system is another tool for understanding the performance of a show across six dimensions. In the case of "Dead To Me", the score shows that the worldwide audience demand across all platforms is good, whilst its franchisability (spin-off potential) is also good. Other areas of strength include its momentum, i.e., the pace of growth, as well as its travelability and reach.
Moreover, demand data can be used to value content. Parrot Analytics' content valuation system uses demand data to quantify the dollar value contribution of any title, to any platform, in any region. Whether you're deciding whether to renew, cancel or acquire a show, or exploring how to maximize the value of content on your platform, this data can provide valuable insights.
Demand data can also support decision-making in areas such as supply and demand. For instance, by analyzing the taste clusters of current viewers, you can identify opportunities to acquire or produce content that would cater to their preferences. Additionally, "Dead To Me's" peak rank of #912 in the United States indicates that the show has significant mass appeal rather than a small dedicated fan base.
Another example where demand data can support decision-making for entertainment executives is by predicting consumer behavior. You can use demand data to analyze the impact of a specific show in driving subscriptions and mitigating churn. As for "Dead To Me", audience demand decreased by only 0.3% during October and peaked towards the end of the month. This is a good indication that the show is doing well in satisfying its audience and retaining subscribers.
Finally, demand data can also improve your pre-release marketing and promotional campaigns. You can optimize your marketing campaign ahead of premiere by analyzing the preferences of audiences who are most likely to watch the show. This ensures that the right audience is being targeted and that your promotional spend delivers the greatest possible ROI.
In conclusion, "Dead To Me" is an excellent case study that shows the importance of leveraging demand data when making strategic television decisions. From content valuation to acquisition decisions, to programming and distribution decisions, the insights provided by demand data can lead to more informed decisions. By tapping into the right data sources and analysis tools, executives can gain invaluable insights that can help them stay ahead of the curve in an ever-changing media landscape.
