A dimensions increases, the possibility of long-term user retention will increase accordingly. Frequency of use refers to the frequency with which users use the product, intensity of use refers to the duration or depth of each use, number of features refers to the number of product features that users use, and number of scenarios refers to how users use the product in different scenarios. By improving these four dimensions, products can be more deeply integrated into users’ lives or work.
User retention is a complex system project that cyprus phone numbers requires the comprehensive use of multiple strategies and methods to implement refined operations based on product characteristics and user stages. . Seven Analysis Menik. Specifically, a retention curve typically represents the percentage of users who remain active over a specified period of time (such as 7 days, days). By observing the shape and trend of the curve, you can assess product retention and formulate targeted improvement strategies. () Decomposing the Retention Curve Decomposing the retention curve is a simple and straightforward way to find traces of retention in your data.
For example, by comparing the difference in retention rates between users who use a particular feature and those who don't, you can determine how important that feature is to retention. Similarly, comparing retention rates of different types of users can also help us find high-value user groups. This approach can help us identify key factors that influence retention and develop a more targeted retention strategy. () Active Functional Retention Matrix The Active Functional Retention Matrix is a branch of retention curve decomposition and is mainly used to analyze the differences in retention rates of different functions in multifunctional products.