AARRR Model
2024-09-26 10:56:31 1 Report
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Outline/Content
AARRR Model
Product Analysis Model
Data Analysis Model
How can users find us?
Acquisition
A
How is the user's first experience?
Activation
Will the user come back?
Retention
R
How to make more money?
Revenue
Will the user tell others?
Refer
Definition of Noun
Guidance on work arrangements
Strengthen focus on the goal
Value
Channel scale indicator
Channel Quality Indicator
Language-Market Fit
Channel-Product Matching
operation
User registration and traffic drainage
Entry point
DAU = Daily New + Cumulative Historical Retention
Proportion of new and old users
The activity rate of new and old users
Number of loyal users
Number of returning users
Percentage of users logging in once per day
Active user composition
Daily active users (abbreviated as DAU): The number of users who log in or use a product within a day.
Daily Active Users/Weekly Active Users/Monthly Active Users
MAU/DAU represents the number of days users return to use the product (how often they use the product in a few days)
DAU/MAU * 30 represents how many times a user will use the product in a month.
Product viscosity
Active users
Mobile PUSH
SMS
Incentive system
Growth Value Membership System
Point task system
Build an incentive system to retain users.
Enrich content and increase user online duration.
4 Ways to Boost Engagement and Retention
Product core function retention
User behavior retention
Product Retention
Churn Funnel: Find the Churn Point
Predicting retention rate DUA
Analysis method
Fission growth
Is it reasonable to pay for breaking the ice and paying for the card point?
Income Analysis
Expand new features
Word-of-mouth Index
Website PR value
Number of search engine listings
Backlink data
Value-added services
Collect
Collect
Collect
Collect
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