/traffic-analysis

name: traffic-analysis
description: Use when analyzing Xiaohongshu traffic sources, understanding where views and engagement come from, optimizing traffic acquisition strategies, diagnosing sudden traffic changes, or comparing traffic quality across different sources

Traffic Analysis (流量分析)

Overview

Traffic analysis is the systematic examination of where Xiaohongshu content views come from, helping creators understand which traffic sources perform best and how to optimize content strategy for maximum reach and engagement.

When to Use

**Use when**:

• Content views fluctuate unexpectedly
• Need to understand which traffic sources are most valuable
• Planning content optimization for specific acquisition channels
• Comparing performance across different traffic sources
• Diagnosing why content succeeded or failed
• Optimizing posting strategy for better discovery

**Do NOT use when**:

• Account has no published content yet
• Looking for real-time minute-by-minute monitoring (use platform analytics)
• Analyzing paid advertising performance (use dedicated ad analytics tools)

Core Pattern

**Before** (ignoring traffic sources):

❌ "My post got 1000 views, good job!"
❌ "Why did views drop? Must be the algorithm"
❌ "All traffic is the same, 100 views = 100 views"

**After** (traffic-source driven):

✅ "Post got 1000 views: 70% from search (high intent), 20% from discovery (broad), 10% from followers (loyal)"
✅ "Views dropped because discovery traffic fell 60%, but search traffic stayed strong - optimize cover for discovery"
✅ "Search traffic converts 3x better than discovery - double down on SEO-optimized titles"

**4 Traffic Sources Framework**: 1. **Discovery Page** (发现页) - Algorithm-driven, broad reach, lower conversion 2. **Search Page** (搜索页) - User intent, targeted, higher conversion 3. **Follow Page** (关注页) - Existing followers, highest engagement, loyal audience 4. **Other Sources** - Profile visits, shares, external links

Quick Reference

| Traffic Source | Characteristics | Conversion Rate | Optimization Strategy | |---------------|-----------------|-----------------|----------------------| | **Discovery** | Algorithm-recommended, viral potential | 2-4% | Eye-catching covers, trending topics | | **Search** | User-initiated, specific intent | 6-10% | SEO-rich titles, keyword optimization | | **Followers** | Loyal audience, consistent | 10-15% | Consistent posting, community engagement | | **External** | Shares, profile visits | Varies | Cross-platform promotion |

Implementation

Step 1: Access Traffic Source Data

**Xiaohongshu Creator Center** (free, native): 1. Open Creator Center app 2. Navigate to: 数据分析 → 内容数据 3. Select specific post 4. View "流量来源" section

**Qiangua Data** (recommended for deeper analysis): 1. Search your account 2. Click "内容分析" 3. View traffic source breakdown for each post 4. Export data for Excel analysis

Step 2: Analyze Traffic Source Distribution

For each post, document:

• **Total views**: Overall reach
• **Discovery traffic**: Views from recommendation algorithm
• **Search traffic**: Views from search results
• **Follower traffic**: Views from existing followers
• **Other traffic**: Profile visits, shares, external

**Calculate percentages**:

Discovery % = (Discovery views ÷ Total views) × 100
Search % = (Search views ÷ Total views) × 100
Follower % = (Follower views ÷ Total views) × 100

Step 3: Evaluate Traffic Quality by Source

**Key metrics per traffic source**:

• **Engagement rate**: (Likes + Comments + Saves) ÷ Views
• **Follower conversion**: New followers ÷ Views
• **Save rate**: Saves ÷ Views (indicates content value)

**Traffic quality assessment**:

• **Search traffic**: Usually 2-3x higher engagement (high user intent)
• **Follower traffic**: Highest engagement, most loyal (10-15% engagement rate)
• **Discovery traffic**: Lower engagement but viral potential (2-4% engagement rate)
• **External traffic**: Highly variable, depends on source

Step 4: Identify Traffic Patterns

Analyze last 10-20 posts to find patterns:

**Discovery-dominant posts** (60%+ from discovery):

• Indicate algorithm-friendly content
• Viral potential but lower conversion
• Optimization: Improve covers, use trending hashtags

**Search-dominant posts** (50%+ from search):

• Indicate strong SEO/keyword optimization
• Higher quality traffic
• Optimization: Focus on keyword-rich titles, niche topics

**Follower-dominant posts** (70%+ from followers):

• Indicate strong community loyalty
• Limited growth potential (existing audience)
• Optimization: Balance follower content with discovery-optimized content

Step 5: Optimize Content Strategy by Traffic Source

**For Discovery Traffic**:

• Use eye-catching cover images
• Include trending topics and hashtags
• Post during peak hours (7-9pm)
• Focus on broad appeal content

**For Search Traffic**:

• Optimize titles with keywords
• Use descriptive, searchable language
• Focus on niche, specific topics
• Target long-tail search terms

**For Follower Traffic**:

• Maintain consistent posting schedule
• Engage with comments consistently
• Build community through series content
• Respond to follower requests and questions

Step 6: Track Traffic Source Trends

Build weekly traffic source log:

Week | Total Views | Discovery % | Search % | Follower % | Best Source
-----|-------------|-------------|-----------|------------|------------
W1   | 5,000       | 60%         | 25%       | 15%        | Discovery
W2   | 8,000       | 70%         | 20%       | 10%        | Discovery
W3   | 4,000       | 40%         | 40%       | 20%        | Mixed

**Trend analysis**:

• Discovery share growing? Algorithm likes your content
• Search share growing? SEO optimization working
• Follower share growing? Community loyalty increasing
• All declining? Content may need refresh

Step 7: Diagnose Traffic Changes

**Sudden traffic drop?** 1. Check which source declined 2. Disco