AgentSkillsCN

growth-loops

构建自我强化的增长系统,让用户的每一次互动都能生成更多用户,随着时间推移不断累积、倍增。

SKILL.md
--- frontmatter
name: growth-loops
description: Build self-reinforcing growth systems where user actions generate inputs that acquire more users, compounding over time

Growth Loop Frameworks

Overview

Growth loops are closed systems where user actions create inputs for acquiring more users, forming self-reinforcing cycles. Unlike linear funnels (ad spend → users), loops compound: users → content → SEO → more users → more content. Reforge's framework: Viral loops, Content loops, Paid loops, Sales loops.

When to Use

  • Designing sustainable growth vs. paid acquisition treadmill
  • Building network-effect products
  • Content/marketplace businesses
  • Optimizing user-generated growth

Core Loop Types

Viral Loop: User invites → new user signs up → invites others Example: Dropbox referrals (both sides get storage), Hotmail signature

Content Loop: User creates content → SEO/discovery → new users → create content Example: Pinterest pins, YouTube videos, Medium articles

Paid Loop: Revenue → ads → users → revenue (must have positive LTV:CAC) Example: E-commerce: Purchase → Facebook ads → purchase

Sales Loop: Customer success → upsells/references → new customers → success Example: B2B: Happy customer → referrals/case studies → enterprise deals

Design Process

  1. Map User Journey: Identify where users create value (content, invites, purchases)
  2. Close the Loop: Connect output back to acquisition input
  3. Optimize Cycle Time: Faster loops compound faster
  4. Remove Friction: Maximize % of users completing loop actions

Example: Yelp loop: Diner → writes review → review ranks in search → new diner finds restaurant → writes review (cycle time: 1 week)

Example Application

Before (Linear): Spend $10K on ads → 1,000 users → done After (Loop): 1,000 users → 100 write reviews → reviews rank for 500 keywords → 5,000 organic users → 500 reviews → 25,000 users (compounding)

Anti-Patterns

  • ❌ Confusing growth hacks (one-time tricks) with sustainable loops
  • ❌ Ignoring loop leakage (% of users not completing loop action)
  • ❌ Optimizing one part without measuring full loop health
  • ❌ Treating all growth as equal (loops >>> linear funnels)

Related

  • network-effects
  • viral-coefficients
  • growth-accounting
  • compound-effects