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viral-marketing-playbook

viral-marketing-playbook

github.com/gingiris-1031Marketing & growth87159 installsUpdated 2w ago
Repository

About viral-marketing-playbook

A viral marketing playbook for product and growth teams that explains referral, invitation, and content-sharing loops. It covers K-factor calculations, incentive design, share triggers, and examples from Dropbox, Notion, and Loom.

Key features

  1. 01Referral, invite, and content loop anatomy
  2. 02K-factor calculation and growth modeling
  3. 03Incentive design for referrers and invitees
  4. 04Share triggers in the user journey
  5. 05Cases from Dropbox, Notion, and Loom

Use cases

  1. 01Design product referral or invitation mechanics
  2. 02Calculate K-factor and model growth scenarios
  3. 03Choose incentives for referrers and new users
  4. 04Find natural sharing moments in user journeys

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gingiris-1031/gingiris-skills --skill viral-marketing-playbook

After installing, type/viral-marketing-playbookin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

_meta.json
.clawhub/
origin.json
references/en/
README.md
references/ja/
README.md
references/ko/
README.md

Details

From the project README

⚠️ 区分 B2B 与 2C

本 skill 默认偏 dev / 开源 / B2B SaaS。若产品是 2C 消费品 / 教育 / 应用 / 游戏：核心指标换成 D1/D7/D30 留存、激活率、病毒系数 K（非 MRR/CAC/LTV）；冷启动渠道换成垂类社区 / 短视频 / 垂直 KOL（非 PH/HN/LinkedIn）。完整 2C 适配指南 + 各国渠道公开数据见 → gingiris-seo-geo/references/2c-adaptation.md。

📦 Install

clawhub install viral-marketing-playbook

What you get after installing:

  • Viral loop anatomy — mechanics behind referral, invite, and content loops
  • K-factor math to calculate viral coefficient and model growth scenarios
  • Real case studies from Dropbox, Notion, and Loom viral engines

Viral Loop Design — Referral, Invite & Share Mechanics

🌍 Language / 语言: 中文 | English | 日本語 | 한국어

Products don't go viral by accident. This playbook teaches you to engineer virality.

  • Viral loop anatomy: The mechanics behind referral, invite, and content loops
  • K-factor math: Calculate your viral coefficient and model growth scenarios
  • Incentive design: What to offer referrers and referred users (and what doesn't work)
  • Share triggers: Moments in the user journey where sharing feels natural
  • Case studies: How Dropbox, Notion, and Loom built their viral engines

Related Gingiris Skills

🔗 About the Author

Iris Wei — Growth consultant for 150+ AI startups. Ex-COO at AFFiNE (69K GitHub stars).

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