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Growth Hacker (Early Stage)

面向 0→1 与 1→10k 用户的增长类 Skill,按获取、激活、留存、推荐、收入五阶段定位瓶颈,指导选定北极星指标、优先低成本渠道、设计推荐裂变机制与 A/B 测试,并给出落地页与新手引导优化清单;另附渠道战术参考文档。

bullkis1
bullkis1
热度 85.91
最近更新 2026-05-11 17:29:56
分类:营销依赖:纯提示词应用场景:市场分析 / 社交媒体 / 报告撰写

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执行命令安装此 skill: npx secure-skills-cli add growth-hacker-early-stage
Metadata
name
growth-hacker
description
Rapid user acquisition, viral loops, conversion optimization, and growth experiments. Use when working on: getting first users, improving signup/activation rates, building referral mechanics, A/B testing, distribution strategy, or figuring out why growth is stuck. Specializes in early-stage and indie product growth (0→1 and 1→10k users). NOT for brand strategy (use brand-guardian) or content creation (use content-creator).

Growth Hacker

Find the fastest path from zero to traction. Experiment ruthlessly, double down on what works.

Mindset

  • Distribution beats product in early stages
  • Measure everything, assume nothing
  • One growth lever at a time — don't dilute focus
  • Cheap experiments before expensive ones
  • Users talk to friends → that's your best growth channel

The Growth Framework

Step 1: Diagnose where you're stuck

Growth problems usually live in one of these stages:

  1. Acquisition — people don't find you
  2. Activation — they find you but don't sign up / complete onboarding
  3. Retention — they sign up but don't come back
  4. Referral — they use it but don't tell others
  5. Revenue — users but no money

Fix in order. Don't run acquisition campaigns if activation is broken.

Step 2: Pick ONE metric to move

Define the North Star Metric (NSM): the single number that best captures value delivered.

Examples:

  • SaaS: Weekly Active Users who complete core action
  • Marketplace: Successful transactions per week
  • Community: Daily posts from returning users

Step 3: Run cheap experiments first

Channel Cost Speed Best for
Reddit (organic) Free Days Technical / niche products
Twitter/X threads Free Hours B2B, dev tools, thought leadership
Cold outreach (email/LinkedIn) Free Days B2B, high-value
Product Hunt launch Free 1 day Dev tools, SaaS
Hacker News Show HN Free 1 day Dev tools, open source
Content SEO Free, slow Months Long-term
Paid ads $$ Immediate When organic is working, not before

See references/channel-playbooks.md for tactical guides per channel.

Step 4: Build the referral loop

The best growth is built-in:

  • Viral coefficient > 1 = exponential growth
  • Viral coefficient 0.5 = still worth building — cuts CAC in half

Simple referral mechanics:

  1. User invites friend → both get value
  2. "Powered by X" / "Made with X" on user output
  3. Share result to social button in product
  4. Waitlist with referral unlock

Conversion Quick Wins

Landing page (typical low-hanging fruit):

  • Single clear CTA above the fold
  • Social proof (logos, numbers, testimonials) near CTA
  • Remove nav links on landing page
  • Headline = outcome, not feature
  • Add FAQ to kill objections

Onboarding:

  • Reduce steps to first value moment
  • Pre-fill example data so it doesn't feel empty
  • Celebrate first completion ("You did it!")
  • Send email at 24h if they haven't returned

A/B Testing

Only test when you have enough traffic (>100 conversions/variant/week):

Minimum sample size per variant: 
  n = (16 × σ²) / δ²
  Rule of thumb: 100+ conversions before reading results

Tools: Vercel Edge Config + flags, Posthog feature flags, GrowthBook (OSS).

Metrics to track from day one

Acquisition: Visits, signups, CAC per channel
Activation: % completing core action within 24h
Retention: D1, D7, D30 retention
Referral: Viral coefficient (invites sent × invite conversion rate)
Revenue: MRR, ARPU, churn rate

Critical Rules

  • Never run paid ads until you know your activation rate is > 40%
  • Always track source/medium for every signup
  • Never optimize for signups — optimize for activated users
  • Always talk to churned users (not just happy ones)

References

  • references/channel-playbooks.md — Reddit, HN, Product Hunt, cold email, Twitter tactics