What is growth hacking? Complete understanding of the AARRR framework

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Growth Hacking Strategy

Growth hacking AARRR pirate indicator that leads product-led growth, complete analysis of key strategies at each stage
What is growth hacking? We will provide you with a thorough understanding of the AARRR framework and product-led growth strategies.

AARRR Framework Core Strategy

1. Acquisition

This is the stage of acquiring new users.

  • marketing channel
  • content marketing
  • SEO/SEM
  • social media

2. Activation

This is the stage where users experience the core value of the product.

  • Onboarding
  • first experience
  • convey value
  • User training

3. Retention

This is the step to keep users using the product.

  • user experience
  • personalization
  • notification
  • customer support

4. Revenue

This is the step of generating revenue from users.

  • pricing strategy
  • Upselling
  • cross selling
  • Subscription Model

5. Referral

This is the stage where the user recommends the product to others.

  • viral marketing
  • Referral Program
  • social sharing
  • user generated content

AARRR Key Indicators by Stage

step key indicators Measurement method improvement strategy goal
Acquisition number of new users number of signups Channel Optimization increase in users
Activation activation rate First Experience Completion Rate Onboarding improvements value experience
Retention Return rate Active users per day/week/month Improved user experience continuous use
Revenue ARPU Average revenue per user Monetization Strategy increase profits
Referral Recommendation rate Referral User Rate viral strategy natural growth

5 steps to building growth hacking

Step 1: Analysis

Analyze the current situation and identify problems.

  • Analysis of current indicators
  • Identify the problem
  • Identify opportunities
  • Priority settings

Step 2: Formulate a hypothesis

Establish hypotheses for improvement.

  • Formulate a hypothesis
  • experimental design
  • success indicators
  • action plan

Step 3: Experiment

Verify the established hypothesis through experiments.

  • A/B testing
  • multivariate test
  • data collection
  • Results Analysis

Step 4: Measure

Measure and analyze experimental results.

  • indicator measurement
  • statistical significance
  • Derive insights
  • draw conclusions

Step 5: Optimization

Scale successful experiments and continuously optimize them.

  • Expand success factors
  • continuous improvement
  • new experiment
  • continuous learning