What is backpropagation really doing? | Chapter 3, Deep learning
- From 3Blue1Brown
- Video
- Intermediate
- 13 minutes
Database structure Growth experiments Product requirements
The concept of power users is crucial for the success of businesses in various industries. While the common metric of daily active users divided by monthly active users helps measure engagement, it has limitations. Introducing the Power User Curve provides a more comprehensive understanding of user engagement. This curve, also known as the activity histogram, shows users’ engagement based on the total number of days they were active in a month.
The Power User Curve reveals a hardcore, engaged segment and the variability among users, unlike the DAU/MAU metric. It can be customized for specific actions important to a product. The shape of the curve, whether a smile or left-leaning, conveys different insights. A smile indicates a group of highly engaged users, crucial for monetization, while a left-leaning curve may be suitable for products with lower engagement but alternative revenue models.
Analyzing the curve for different timeframes, such as 7 or 30 days, provides nuanced perspectives. It helps identify patterns in user behavior, assess the impact of product changes, and understand if the product is becoming more engaging over time. The curve can also focus on core activities beyond app opens, offering a more holistic view.
The Power User Curve is an effective tool for entrepreneurs to figure out how engaged their most devoted users are with their product. It emphasizes the importance of recognizing diverse user segments, adapting business