As a TV executive, understanding the demand data of TV shows can help you make more informed decisions. Looking at the example of "Mad Men" in India for the month of January 2024, we can see how demand data can be used to inform content valuation, acquisition, distribution, and programming decisions.
For content valuation, demand data can help answer questions such as "how much is my series worth?" In the case of "Mad Men," we can see that it has an outstanding level of demand in India, with 4.4 times the audience demand of the average show over the past 30 days. Comparing its demand to the average show, we can conclude that the show is worth more than its peers. At the same time, demand data can also inform acquisition and distribution decisions. By examining the top 10 global markets where "Mad Men" is most in-demand, we can see that it outperforms the demand of the average TV show in every market and has outstanding audience demand in the United States and Canada.
Demand data can also guide programming decisions, such as which genres are resonating most with the current audience, what kind of content your audience is looking for, and which titles should be acquired. Analyzing the global demand of "Mad Men" can inform decisions about the kind of content that should be produced or acquired for specific markets. For example, we can see that this show is exceptionally good at maintaining audience demand over time, revealing insights into what viewers like most.
Overall, demand data can provide insights on how well a TV show is performing in comparison to the average title over a specified period. By answering these questions upfront, this data can guide TV executives to make more informed and data-driven decisions, such as what kind of content should be produced or acquired to expand our reach in a specific market, which genres are resonating the most, or which TV shows have the potential to attract new and retain current audience to the platform. In doing so, demand data can allow TV executives to make informed decisions that aim to optimize their content strategies for better performance and profitability.
