As an entertainment executive, you should be using data-driven insights to evaluate both content and acquisition opportunities. To illustrate this concept, let's use "Daniel Tiger's Neighborhood" for the month of February 2024 in Italy as an example.
Firstly, content valuation using demand data can help you determine how much a series or library is worth. For this show, we can see that it has 4.4 times the audience demand of the average show in Italy over the last 30 days and ranks at the 98.7th percentile in the family genre for Italy. This indicates that it is a high demand and valuable title in Italy.
Secondly, demand data informs scalable concept testing. For example, if you want to produce or acquire similar family-friendly shows like "Daniel Tiger's Neighborhood," you can use its performance data to identify the elements that fans appreciate most and optimize productions for success.
Thirdly, demand data allows you to value content globally and assess international expansion opportunities. For "Daniel Tiger's Neighborhood," we can see that its worldwide audience demand across all platforms is good, and its travelability is good as well. Its demand in Italy was 26% of the demand in its country of origin, the United States, indicating that there is potential for international expansion.
Fourthly, demand data informs the platform and network fit. By comparing the show's performance in different global markets, you can optimize its distribution. For "Daniel Tiger's Neighborhood," we can see that its top market is the United States, followed by Sweden, Canada, Germany, Italy, Mexico, Brazil, Trinidad & Tobago, and Peru. These insights can help you determine which platforms and networks to target for distribution.
Fifth, demand data powers discovery and recommendations. By using data, you can ensure that the content is being seen by the right audience. For "Daniel Tiger's Neighborhood," its global demand over the last 30 days was exceptional, and it had a high affinity with other family shows like "Sesame Street," "Doc McStuffins," and "Peppa Pig." This insight can help suggest other titles to recommend to fans of the show.
Lastly, demand data helps inform programming and marketing decisions. For this show, we can see that its demand spiked in late February 2024 in Italy, and overall audience demand has been increasing recently on a rolling 30-day basis indicating increasing popularity. Releasing new episodes in February would be ideal to leverage this increased demand to boost subscriptions and revenue. Similarly, you can optimize marketing campaigns ahead of premieres by understanding the momentum of demand.
In conclusion, by using demand data to evaluate content, acquisition, distribution, and marketing opportunities, entertainment executives can make more informed decisions to increase revenue, retention, and growth. The example of "Daniel Tiger's Neighborhood" in Italy demonstrates the power of demand data to inform all aspects of the entertainment industry.
