As a TV executive, you can leverage demand data provided by Parrot Analytics to make more informed decisions regarding content acquisition, distribution, and programming. One clear use case is content valuation. Using demand data, you can estimate the dollar value contribution of any title to your platform, and figure out how much a show or an entire library of content is worth. For instance, in the case of Warrior, you can see that the show has 22.1 times more demand than the average TV show in the US over the last 30 days, and that only 2.7% of all shows have this level of demand. This information can be used to estimate the show's value and make a more informed decision about whether to acquire or distribute the show. Additionally, you can use demand data to assess a show's ability to drive subscriptions and mitigate churn. Studying data on Warrior’s audience and fans could provide insights into platforms that the show would fit well on.
Another practical use case is to learn about the audiences. Demand lets you assess and understand your audience, from what type of content resonates with them to which demographics are tuning in the most. You can also get insight into audience behaviour, such as what they're watching, what they're interested in, and in what geographies demand is located most. For example, looking closely at Warrior's demand data, we can learn that the show ranks at the 99.8th percentile in the history genre in July. This suggests that the show's fans have a particular interest in history-related content, and this can be leveraged to inform strategic decision-making.
You can also use the data to decide on programming decisions. For instance, demand data powers discovery and recommendations – you can use it to ensure that your content is being seen by the right audience on your platform. By mapping local whitespaces, you can also determine what the most popular genres are in a market and create programming lineups that appeal to specific tastes and preferences. Using demand data, you can also inform optimal release strategies and pricing for your content. In the case of Warrior, demand spiked at the end of July 2023 in the United States. This could suggest that the show's release strategy and marketing campaign were effective and well-timed.
Lastly, demand data can inform decisions on content acquisition and distribution. Using demand data, you can determine which titles are popular and in-demand globally, enabling you to prioritize and acquire content that has the most potential for global expansion. In the case of Warrior, the show outperforms the demand of the average TV show in each of the top 10 global markets where it’s most in-demand, suggesting that it has significant global appeal. Demand data can also help with competitive benchmarking, allowing you to compare your titles against other titles on the market, and make strategic decisions with a more comprehensive understanding of the competitive landscape.
