# Data Metrics Understanding

Use when analyzing Xiaohongshu account data, interpreting performance metrics, making...

- Repository: https://github.com/vivy-yi/xiaohongshu-skills (520 stars)
- Category: Marketing
- License: see repository
- Last updated: 2026-01-23
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add vivy-yi/xiaohongshu-skills --skill data-metrics-understanding -g -a claude-code -y`
Codex: `npx skills add vivy-yi/xiaohongshu-skills --skill data-metrics-understanding -g -a codex -y`
Cursor: `npx skills add vivy-yi/xiaohongshu-skills --skill data-metrics-understanding -g -a cursor -y`
Gemini CLI: `npx skills add vivy-yi/xiaohongshu-skills --skill data-metrics-understanding -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add vivy-yi/xiaohongshu-skills`

## Description

Use when analyzing Xiaohongshu account data, interpreting performance metrics, making data-driven content decisions, or explaining what each metric means for account growth

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Data Metrics Understanding (数据指标理解)

## Overview

Data metrics understanding is knowing what each Xiaohongshu performance metric means, how to calculate it, what benchmarks indicate good vs. bad performance, and how to use metrics to optimize content strategy.

## When to Use

**Use when**:
- Analyzing account performance
- Interpreting content data
- Setting performance goals
- Diagnosing growth issues
- Creating performance reports

**Do NOT use when**:
- Needing data export tools (use qiangua-data)
- Analyzing competitor data (use competitor-analysis)

## Core Pattern

**Before** (metrics confusion):
```
❌ "What does engagement rate mean?"
❌ "Is 5% good or bad?"
❌ Don't know which metrics matter
❌ Overwhelmed by data dashboard
```

**After** (metrics clarity):
```
✅ Know what each metric measures
✅ Understand good vs. bad benchmarks
✅ Focus on metrics that matter
✅ Use data to drive decisions
```

**7 Core Metrics**:
1. **Views/Exposure** - Content reach
2. **Engagement Rate** - (Likes+Comments+Shares)/Views
3. **Save Rate** - Saves/Views
4. **Follower Growth** - New followers per post
5. **Completion Rate** - Video/audio watched to end
6. **Click-Through Rate** - Profile visits from content
7. **Share Rate** - Shares/Views

## Quick Reference

| Metric | Formula | Good Benchmark | What It Indicates |
|--------|---------|----------------|------------------|
| **Views** | Total impressions | 500+ for new accounts | Reach and discovery |
| **Engagement Rate** | (L+C+S)/Views | 8-12% | Content resonance |
| **Save Rate** | Saves/Views | 3-5% | Content value |
| **Follower Growth** | New followers/post | 5-10+ per 1K views | Conversion effectiveness |
| **Completion Rate** | Watched to end | 70%+ for videos | Content engagement |
| **Share Rate** | Shares/Views | 1-3% | Shareability |

## Implementation

### Step 1: Track Essential Metrics

The rest: https://github.com/vivy-yi/xiaohongshu-skills/blob/HEAD/skills/03-数据分析/data-metrics-understanding/SKILL.md