/huitun-data

name: huitun-data
description: Use when analyzing Xiaohongshu account performance, tracking content metrics, researching competitors, or making data-driven decisions to optimize content strategy

Huitun Data (灰豚数据)

Overview

Huitun Data is a professional analytics platform for Xiaohongshu that provides comprehensive data insights including account analysis, content performance tracking, influencer research, competitor monitoring, and trending topic discovery, enabling creators and brands to make informed, data-driven decisions.

When to Use

**Use when**:

• Analyzing your account growth and engagement
• Researching competitors' strategies
• Finding trending topics and hashtags
• Identifying high-performing content patterns
• Discovering potential influencer partners
• Optimizing posting schedule and content
• Tracking campaign performance

**Do NOT use when**:

• Just starting with limited content history
• Focusing purely on creativity over data
• Have very small following (<500 followers)
• Can't afford subscription (paid tool)

Core Pattern

**Before** (flying blind):

❌ "Guessing what content works"
❌ "No competitor insights"
❌ "Posting at random times"
❌ "Unsure why posts succeed/fail"
❌ "Wasting resources on poor performers"

**After** (data-driven):

✅ "Know exactly what content resonates"
✅ "Competitor strategy revealed"
✅ "Optimal posting times identified"
✅ "Clear reasons for performance"
✅ "Resources focused on winners"

**5 Key Analytics Areas**: 1. **Account Analysis** - Overall growth and health 2. **Content Analysis** - Post-level performance 3. **Competitor Research** - Benchmark and learn 4. **Trend Discovery** - Hot topics and hashtags 5. **Influencer Analysis** - Partner identification

Quick Reference

| Analysis Type | Key Metrics | Frequency | Use For | |--------------|-------------|-----------|---------| | **Account Overview** | Followers, engagement rate, growth | Weekly | Health check | | **Content Performance** | Likes, saves, shares, comments | Per post | Content optimization | | **Competitor Analysis** | Growth, top content, strategy | Monthly | Benchmarking | | **Trend Research** | Hot topics, rising hashtags | Weekly | Content ideation | | **Influencer Search** | Engagement, audience, cost | Per campaign | Partner selection |

Implementation

Step 1: Analyze Account Performance

**Track Growth and Engagement**:

Account Health Dashboard:

1. Follower Growth Analysis
   Understand Audience Expansion:

   Key Metrics:
   - Total followers (current count)
   - Growth rate (% change over time)
   - Daily new followers (average)
   - Unfollow rate (churn)
   - Net growth (gains - losses)

   Growth Benchmarks:
   - New accounts (0-1k): 5-10% monthly growth
   - Growing accounts (1k-10k): 3-7% monthly growth
   - Established accounts (10k-100k): 2-5% monthly growth
   - Large accounts (100k+): 1-3% monthly growth

   Analysis Framework:
   "Week 1 Analysis:
   - Starting followers: 5,200
   - Ending followers: 5,450
   - Net growth: +250 (4.8%)
   - Daily average: +36 followers/day
   - Unfollow rate: 1.2% (healthy)
   - Conclusion: Above average growth, keep doing what's working"

   Growth Drivers:
   Identify which content caused growth spikes:
   - Top performing posts (viral content)
   - Influencer shoutouts (partnerships)
   - Trending topics (timely content)
   - Hashtag optimization (discoverability)

2. Engagement Rate Deep Dive
   Measure Audience Connection:

   Engagement Formula:
   (Likes + Comments + Saves + Shares) / Followers × 100

   Rate Benchmarks:
   - Excellent: 10%+ (highly engaged audience)
   - Good: 5-10% (healthy engagement)
   - Average: 3-5% (room for improvement)
   - Below Average: Under 3% (needs attention)

   Component Analysis:
   - Likes: Passive approval
   - Comments: Active engagement
   - Saves: Value indicator (future reference)
   - Shares: Viral potential

   Example Analysis:
   "March 2026 Engagement:
   Total Followers: 8,500

   Post Performance:
   - Avg likes: 420 (4.9%)
   - Avg comments: 45 (0.5%)
   - Avg saves: 85 (1.0%)
   - Avg shares: 12 (0.1%)
   Total engagement: 6.5% ✓ (Good)

   Breakdown:
   - Likes: 75% of engagement
   - Comments: 8% of engagement
   - Saves: 15% of engagement
   - Shares: 2% of engagement

   Insights:
   - Strong save rate (content valuable)
   - Low share rate (not very viral)
   - Good comment rate (community active)
   - Action: Test more shareable content"

3. Audience Demographics
   Know Your Followers:

   Demographic Data:
   - Age distribution (key age groups)
   - Gender split (male vs female)
   - Geographic location (cities, provinces)
   - Active times (when they're online)
   - Interests (topics they engage with)

   Age Analysis:
   "18-24: 25% (students, young professionals)
   25-34: 45% (prime target ✓)
   35-44: 25% (secondary target)
   45+: 5%

   Target: Women 25-40
   Match: 70% of audience ✓"

   Location Insights:
   "Top cities:
   - Shanghai: 22%
   - Beijing: 18%
   - Guangzhou: 12%
   - Shenzhen: 10%
   - Hangzhou: 8%

   Tier 1 cities: 70% (urban, affluent ✓)"

   Active Times:
   "Peak engagement:
   - Tuesday: 8-9 PM (highest)
   - Thursday: 7-9 PM (high)
   - Sunday: 7-8 PM (moderate)

   Low engagement:
   - Monday morning (busy)
   - Friday afternoon (weekend starts)

   Action: Prioritize posting Tue/Thu evenings"

4. Content Performance Ranking
   Identify Winners and Losers:

   Top Performing Content:
   - Sort by engagement rate
   - Analyze common themes
   - Identify format preferences
   - Note hashtag effectiveness

   Bottom Performing Content:
   - Lowest engagement posts
   - Understand why they failed
   - Learn what to avoid
   - Test improvements

   Performance Categories:
   "Top 10% (Superstars):
   - Educational carousels
   - Before/after transformations
   - Personal stories
   - Engagement rate: 12%+

   Middle 60% (Consistent):
   - Product showcases
   - Tips and how-tos
   - Li