Data Metrics Understanding (数据指标理解)

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

Implementation

Step 1: Track Essential Metrics

Weekly tracking minimum:

• Total views per post
• Likes, comments, shares per post
• New followers gained
• Follower loss (unfollows)

Tools:

• Xiaohongshu Creator Center (free)
• Export to Excel for analysis

Step 2: Calculate Engagement Rate

Formula:

Engagement Rate = (Likes + Comments + Shares) / Views

Example:
Views: 1,000
Likes: 100
Comments: 20
Shares: 10
Engagement Rate = (100+20+10)/​1000 = 13%

Benchmark:

• Below 5%: Needs improvement
• 5-10%: Average/​good
• Above 10%: Excellent

Step 3: Analyze Save Rate

Saves = content value indicator

Formula: Save Rate = Saves / Views

Benchmark:

• 1-3%: Average
• 3-5%: Good (content worth saving)
• 5%+: Excellent (highly valuable content)

Use for: Tutorial, guide, educational content optimization.

Step 4: Monitor Follower Growth

Per-post growth:

Benchmark (per 1K views):

• 0-2 followers: Poor conversion
• 3-7 followers: Average
• 8-15 followers: Good
• 15+ followers: Excellent

Goal: Increase growth rate over time.

Step 5: Compare to Benchmarks

Industry averages (varies by niche):

• Fashion/​beauty: 10-15% engagement
• Food/​lifestyle: 8-12% engagement
• Education/​tips: 12-18% engagement

Adjust for: Account size, niche, content type.

Step 6: Identify Problem Metrics

Red flags:

• Engagement rate dropping over time
• Views high but saves low (not valuable)
• Follower loss > gain (churning audience)
• Completion rate <50% (content not engaging)

Take action: Use specific skills to address issues.

Common Mistakes

Real-World Impact

Data-driven accounts: 3-5x faster growth Ignoring metrics: Stagnation, don't know what works

---

Related Skills:

• REQUIRED: data-analytics (complete analysis methodology)
• REQUIRED: qiangua-data (advanced metrics tools)
• content-performance-analysis (individual post analysis)
• traffic-analysis (where views come from)