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