As an entertainment executive, you can use demand data to make more informed content, acquisition, distribution, and programming decisions. In the case of "Barry (2018)," we can analyze its audience demand in France and how it performed in different dimensions to demonstrate how demand data can assist you in your decision-making process.
The first question that demand data can answer is how much a TV series is worth. Content valuation is the process of determining how much a show is worth, and demand data can provide valuable insight into this aspect. Parrot Analytics' content valuation system is based on demand data and reveals the dollar value contribution of any title, to any platform, in any region. For example, "Barry (2018)" had a demand that was 10.1 times the average show in France over the last 30 days, indicating that it is highly valuable in this market.
Another question that demand data can answer is how popular the content is. In the case of "Barry (2018)," demand data can reveal how in-demand the show is in different markets and how it's performing in various dimensions like momentum, travelability, longevity, and reach. We can see that the worldwide audience demand for "Barry (2018)" across all platforms is outstanding, and its travelability is outstanding as well.
Demand data can also help you determine how much to spend on acquiring or producing new content. For example, "Barry (2018)" has outstanding demand in France, meaning it's popular in this market. By looking at the DMA (Designated Market Area) where a show is in-demand, we can see if there are opportunities for regional programming or marketing messages.
Moreover, demand data can inform optimum release strategy and pricing. For instance, we see that demand for "Barry (2018)" spiked in late January 2024 for France, indicating that certain conditions (e.g., awards or social media buzz) made it more appealing to French audiences.
Additionally, demand data can be leveraged to evaluate talent or other business partnerships. The Parrot Pulse for "Barry (2018)" provides an independent measure of how popular a show is across six different dimensions, and we can determine the show's appeal to specific audience segments. For example, "Barry (2018)" had a higher demand than 99.0% of all drama titles in France, indicating that this show has a dedicated yet broad fan base in the drama genre.
Finally, demand data can help executives with subscriber acquisition and retention. For instance, if you want to attract new subscribers to your platform, you can use demand data to determine which titles you should buy. The fact that "Barry (2018)" has higher demand than other popular titles like "Succession" and "The Mandalorian" implies a certain level of cross-interest from audiences who enjoy these shows.
In conclusion, demand data is a powerful tool that executives can use to maximize the return on investment of their content. Whether it's evaluating talent or other business partnerships, determining how much to spend on a show, or choosing the right titles to acquire or produce, demand data provides valuable insights into the performance of content in different markets and across different dimensions.
