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Using Demand Data To Maximize Success of Kids TV Comedy with Om Nom

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Parrot Analytics Insights - January 2024

Demand data is a powerful tool that can help entertainment executives make more informed content, acquisition, distribution, and programming decisions. By analyzing the demand data, executives can determine the value of their content, assess their content's global appeal, make decisions about supply and demand, identify under-monetized titles, and quantify taste clusters.

For instance, the demand data about "Om Nom" show in January 2024 in France can help executives evaluate the show's performance, as well as inform their decision making strategy. The demand data reveals that the show has 3.3 times the audience demand of the average show in France over the last 30 days and has experienced a 59.8% increase in demand in the last 30 days compared to the rolling year average. Additionally, it's in the 96.8th percentile in the family genre, indicating its high demand compared to other family titles in France.

Using "Om Nom" as an example, we can also answer other questions about how demand data can be used to inform content decisions. For instance, content valuation plays a crucial role in deciding what content to commission and acquire. Demand data can be used to determine how much a series is worth, how much of its value is driven by a specific star, its ability to drive subscriptions and mitigate churn, and how to assess its value to different streaming platforms.

Demand data also provides insights into translating the show's popularity into ancillary revenue streams by measuring franchisability (spin-off potential) to assess its potential for expanding the franchise. We can also look at its travelability, which quantifies a show's international demand relative to its home market, to determine which markets are most promising for expansion.

Finally, demand informs both pre-release marketing and post-release marketing strategies. The executives can use the demand data to optimize their marketing campaigns before the premiere, taking advantage of the show's momentum and social media buzz. They can also use the data to monitor the show's performance and determine when to release new seasons or campaigns to keep its audience engaged and satisfied.

In conclusion, the demand data can provide valuable insights into how the "Om Nom" show is performing and can be used in a variety of ways to inform executives working in different parts of the entertainment industry. Using demand data to evaluate a show's performance can help decision makers to understand what is working and what is not, identify untapped markets, and optimize their content strategies to deliver real business results.

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