As an entertainment executive, you need to make smart content decisions to ensure your platform is attracting and retaining subscribers, which means ensuring you have a deep understanding of your target audience's viewing preferences. This is where the power of demand data, like that provided by Parrot Analytics, can come in handy.
Let's take the show "Tenali Rama" as an example for the month of January 2024 in the United States. According to demand data, the show's demand is good, with 4.1 times the audience demand of the average show in the US over the last 30 days. Its demand of 5.1 times the average over the last 90 days has been decreasing lately. Overall, the show has a good worldwide audience demand across all platforms, implying its global performance is noteworthy.
By analyzing the show's rank (#2059 in the United States) and its percentile rank in its genre (history, 93.2th percentile), entertainment executives can gauge the show's popularity and whether it's resonating with the target audience. In this case, it appears the show is doing well in the history genre in the US, which is a positive sign.
For content evaluation, executives could use demand data to determine content valuation and the dollar value contribution of any title to any platform. Demand data can also help in assessing a TV series' ability to drive subscriptions and mitigate churn.
Using our case study of "Tenali Rama," executives could ask questions such as: how much is this show worth, and how much of its value is being driven by demand for one of its stars? What is the baseline value of the show? Also, how is "Tenali Rama" performing as an acquisition-driving or churn-reducing title? By answering these questions using demand data, executives can make better-informed decisions around content acquisition and programming decisions.
Demand data could also be leveraged to explore the show's dynamics across different geographies. Parrot Analytics' travelability score can quantify a show's international demand relative to its market of origin. In the case of "Tenali Rama," its travelability score is okay. Additionally, executives could assess the show's popularity levels, momentum, longevity, and potential to be franchised or spun-off into other shows.
In conclusion, using demand data, entertainment executives can make data-driven decisions regarding content acquisition, valuation, programming, and distribution. Demand data provides insights into how audiences are engaging with content, and these insights can help executives make strategic decisions that align with their business goals. "Tenali Rama" offers an example of how demand data can be applied to power strategic decision making in the TV and streaming industry.
