Demand data can provide valuable insights for entertainment executives making decisions on content investments, acquisitions, and programming choices. The case of "Shetland" illustrates how demand data can inform decision-making.
Using "Shetland" in Canada as an example, we can determine that demand for the show is good, with 6.0 times the audience demand of the average show in Canada over the last 30 days. This information can be used to calculate the value of this show relative to others in Canada, taking into consideration its global popularity, which is an important component of content valuation.
One key takeaway is that the show demonstrates strong longevity, with good audience demand maintained over time. This information can inform acquisition and investment decisions, as it suggests that the show has a stable and dedicated fan base.
Additionally, understanding the genre percentile ranking of "Shetland" can help executives identify the show's unique selling points and differentiate it from others within the drama genre. This differentiation can inform content strategy and positioning, allowing executives to better identify the strengths and weaknesses of their portfolio.
The analysis also provides insight into the franchise potential and reach of the show, dimensions that may be important for entertainment companies seeking to extend the value of their intellectual property. This aspect can also inform future development and strategic decisions, such as exploring the potential of spin-offs and franchises.
Finally, the analysis of the top global markets where "Shetland" is most in-demand can inform distribution decisions. For instance, the show's popularity in the United Kingdom can indicate that it is best distributed to a UK-based streaming platform. Furthermore, information on the top 10 global markets can identify opportunities for international licensing deals and partnerships.
Overall, demand data can help executives make more informed content, acquisition, distribution, and programming decisions, by providing a clear and empirical picture of audience preferences and interests. This information can help grow audiences, optimize content distribution, and maximize long-term content value.
