Influencer Matrix
Use when building and managing a strategic network of influencers across different...
Install
npx skills add vivy-yi/xiaohongshu-skills --skill influencer-matrix -g -a claude-code -y- Repository
- vivy-yi/xiaohongshu-skills520
- Category
- Marketing
- Updated
- 10mo ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
Use when building and managing a strategic network of influencers across different tiers, optimizing influencer mix for campaigns, or scaling influencer marketing with systematic approach
Influencer Matrix (达人矩阵)
Overview
Influencer matrix is the strategic organization and management of influencers across multiple tiers and partnership types to create a scalable, efficient influencer marketing ecosystem that maximizes reach, engagement, and return on investment while minimizing risk and dependency on individual creators.
When to Use
Use when:
- Scaling influencer marketing beyond ad-hoc partnerships
- Building systematic influencer acquisition strategy
- Optimizing budget across influencer tiers
- Reducing dependency on individual influencers
- Creating long-term influencer ecosystem
- Managing multiple simultaneous campaigns
Do NOT use when:
- Just starting (focus on few partnerships first)
- Limited budget for multiple influencers
- No systematic tracking capability
- Can't manage multiple relationships
Core Pattern
Before (random partnerships):
❌ "Work with whoever we find"
❌ "All budget goes to big influencers"
❌ "One influencer leaves, campaign fails"
❌ "No strategy, just opportunistic"
❌ "Hard to measure what works"
After (strategic matrix):
✅ "Systematic approach: 60% micro, 30% mid, 10% macro"
✅ "Diversified portfolio reduces risk"
✅ "Clear roles for each tier"
✅ "Predictable, scalable growth"
✅ "Data-driven optimization"
5 Influencer Tiers:
- Mega (500k+) - Mass awareness, brand launches
- Macro (100k-500k) - Reach + credibility balance
- Mid-Tier (10k-100k) - Core strategy, high engagement
- Micro (1k-10k) - Niche targeting, authenticity
- Nano (<1k) - Hyper-local, early testing
