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AARRR Model

2024-09-26 10:56:31   1  Report

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Outline/Content

Definition of Noun

Product Analysis Model

Data Analysis Model

Acquisition

How can users find us?

Activation

How is the user's first experience?

Retention

Will the user come back?

Revenue

How to make more money?

Refer

Will the user tell others?

Value

Guidance on work arrangements

Strengthen focus on the goal

Acquisition

Channel scale indicator

Exposure, clicks, downloads, installations, activations, cumulative new users

Registration activation, active activation, push activation, transaction activation

Channel Quality Indicator

CTR, Activation Rate, Installation Rate

CPA per user cost, user LTV

Number of users per day, user usage time

Retention rate, Payment rate, ARPU

operation

Language-Market Fit

Channel-Product Matching

Entry point

User registration and traffic drainage

Activation

DAU = Daily New + Cumulative Historical Retention

Active user composition

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

Product viscosity

Daily Active Users/Weekly Active Users/Monthly Active Users

Activity rate (proportion of active users): the proportion of active users in total users within a certain period of time. According to the time, it can be divided into daily activity rate (DAU), weekly activity rate (WAU), monthly activity rate (MAU), etc.

Daily active users (abbreviated as DAU): The number of users who log in or use a product within a day.

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.

7-day return visit rate, average daily usage time, average daily login times

Entry point

Active users

Retention

4 Ways to Boost Engagement and Retention

Effective reach, awaken users

Mobile PUSH

SMS

Build an incentive system to retain users.

Incentive system

Growth Value Membership System

Point task system

Enrich content and increase user online duration.

Data backtracking, find your key point

Product Retention

Daily, weekly, monthly process rate, LTV

New user retention, old user retention, active user retention

Product core function retention

User behavior retention

Analysis method

Churn Funnel: Find the Churn Point

Churn rate, churn probability, churn ratio

Product core function retention

Predicting retention rate DUA

Entry point

Fission growth

Revenue

Income Analysis

Basic indicators: ARPU, ARPPU, Payment Rate (distinguish between old and new)

Understand the composition of paying users: the distribution of high, medium, and low amount users.

Is it reasonable to pay for breaking the ice and paying for the card point?

When the payment point is not designed properly, it will become a loss point

Sustained Payment Capability Analysis: Repurchase Rate, Repurchase Point

Repurchase rate, what are the repurchase points, user payment frequency, and what is the time interval?

Analysis of paid functions and links: For different revenue-generating activities or functions, which ones have better feedback, which users have good feedback, what are the average recharge amount and payment rate?

Entry point

Expand new features

Refer

Word-of-mouth Index

Word-of-mouth Index, is a comprehensive measure of the shop based on the evaluation of various key indicators by the vast number of members of the word-of-mouth network.

Members score the merchant's various indicators (taste, environment, service, cost-effectiveness) according to the standard of "poor=1 point; average=2 points; good=3 points; good=4 points; very good=5 points";

The comprehensive score is based on the basic score, and the program adjusts it according to several pre-set indicators, including the number of reviews, the time of reviews, and the foodie level of the reviewers.

Merchants with less than or equal to 3 reviews have no ratings. The accuracy of ratings largely depends on the number of reviewers. Generally speaking, merchants with more than 15 reviews have relatively accurate and objective evaluations.

Website PR value

The PR value ranges from level 1 to 10, with 10 being the full score. The higher the PR value, the more popular the web page is.

Number of search engine listings

Backlink data

Entry point

Value-added services