If you are an executive working at an OTT or SVOD platform, demand data can provide valuable insights into what content you should acquire and produce. For example, using the example of "Wednesday," we can see that the show has strong demand in India, signalling it may be worth acquiring to add to your platform. Additionally, the show has high travelability, indicating that it would perform well in other international markets. By crunching data and noting patterns in demand, such as those identified in the metadata we have for "Wednesday," you can make more informed acquisition decisions, ultimately improving your platform by bringing on content that audiences are hungry for.
For executives working at a TV series financing company, demand data can be used during the content valuation process to help generate more accurate price points. In the case of "Wednesday," we see the show has good demand in India, indicating it has a certain level of value in this market. Additionally, we can observe its strong performance in other overseas markets, which could further boost its valuation. By leveraging demand data, you can get a more comprehensive and data-driven approach to content valuation, helping you to make smart investments.
If you are an executive at a TV production company or studio, demand data can aid in programming decisions. "Wednesday" is an original mystery series, and we can see through demand data that the genre is in high demand in India. By leveraging demand data, one can make programming decisions and create new content which caters to the audience's interests. Additionally, demand data can be used to make strategic calls on the timing of airing and release of content, therefore maximizing potential audience reach and engagement.
If you work at a content distributor, demand data can help determine the geographic areas to focus on. In the example of "Wednesday," we see that it has high demand in several international markets, indicating the potential for high returns if it were to be distributed in those territories. By tapping into demand data, you can identify new markets and focus your efforts on those areas that are likely to provide the most return on investment.
Finally, if you work at a linear network or pay TV network, demand data can give you insight into what shows may be worth broadcasting and what time slots may be the most valuable. In the case of "Wednesday," we can see demand spiked in India in late January 2024. Using this data, a network executive could schedule the show to be aired around this time to capitalize on the increased audience interest. Additionally, by examining time-specific demand data, executives can identify what shows are likely to perform well in certain time slots and use that information to determine scheduling and programming decisions.
