/xinhong-data

name: xinhong-data
description: Use when conducting deep analytics on Xiaohongshu accounts, tracking content performance trends, researching influencer data, monitoring category growth, or making strategic decisions with comprehensive social media analytics

Xinhong Data (新红数据)

Overview

Xinhong Data is a professional analytics platform specifically designed for Xiaohongshu, providing deep insights into account growth, content performance, influencer partnerships, industry trends, and competitive intelligence with granular data visualization and reporting capabilities for brands, agencies, and serious creators.

When to Use

**Use when**:

• Conducting comprehensive account audits
• Analyzing long-term growth trends
• Researching influencer partnerships deeply
• Monitoring industry and category trends
• Evaluating content strategy effectiveness
• Preparing detailed performance reports
• Making data-driven strategic decisions

**Do NOT use when**:

• Just starting with minimal data
• Need quick daily checks (use basic analytics)
• Want simple metrics (use built-in tools)
• Cannot interpret complex data

Core Pattern

**Before** (surface-level analytics):

❌ "Basic metrics only (likes, followers)"
❌ "No trend analysis over time"
❌ "Shallow competitor insights"
❌ "Guessing content strategy"
❌ "Blind to industry shifts"

**After** (deep data intelligence):

✅ "Complete account health dashboard"
✅ "Trend analysis with actionable insights"
✅ "Deep competitor benchmarking"
✅ "Data-driven content optimization"
✅ "Industry trend forecasting"

**5 Analytics Dimensions**: 1. **Account Growth Analysis** - Comprehensive growth tracking 2. **Content Performance Deep Dive** - Detailed content metrics 3. **Audience Insights** - Demographics and behavior 4. **Competitor Benchmarking** - Strategic comparison 5. **Industry Trend Analysis** - Market intelligence

Quick Reference

| Analysis Type | Data Depth | Update Frequency | Best For | |--------------|------------|------------------|----------| | **Account Audit** | Comprehensive | Monthly | Strategy reviews | | **Content Analysis** | Post-level | Real-time | Content optimization | | **Audience Study** | Demographic | Weekly | Targeting refinement | | **Competitor Intel** | Comparative | Bi-weekly | Strategic planning | | **Trend Forecast** | Industry-wide | Monthly | Opportunity spotting |

Implementation

Step 1: Conduct Account Audits

**Comprehensive Performance Review**:

Account Audit Framework:

1. Growth Trajectory Analysis
   Long-Term Performance Tracking:

   Growth Metrics (90-Day View):
   Follower Growth:
   - Starting count (Day 1)
   - Ending count (Day 90)
   - Net growth
   - Growth rate percentage
   - Daily average growth
   - Growth velocity (accelerating/decelerating)

   Growth Velocity:
   - Week 1-4: Growth rate
   - Week 5-8: Growth rate
   - Week 9-12: Growth rate
   - Trend identification (acceleration/stagnation)

   Benchmarking:
   - vs. Previous period (MoM, YoY)
   - vs. Category average
   - vs. Competitors (similar size)
   - Percentile ranking

   Audit Example:
   "Account Growth Audit (Q1 2026):

   90-Day Period: Jan 1 - Mar 31

   Follower Metrics:
   - Starting: 8,500
   - Ending: 12,750
   - Net growth: +4,250
   - Growth rate: +50% (excellent)
   - Daily average: +47.2 followers/day

   Velocity Analysis:
   January: +1,200 (14% growth)
   February: +1,550 (18% growth from Jan)
   March: +1,500 (13% growth from Feb)

   Trend: Accelerating through Feb, stabilizing in Mar

   Benchmarking:
   - Category average: 8% quarterly growth
   - Your performance: 50% (6.25x category!)
   - Competitor avg (similar size): 12%
   - Your percentile: Top 5% in category

   Growth Drivers Identified:
   - Educational carousels (40% of growth)
   - Live stream appearances (30% of growth)
   - Influencer shoutouts (20% of growth)
   - Viral content (10% of growth)

   Recommendations:
   - Double down on educational content (primary driver)
   - Increase live stream frequency (high ROI)
   - Nurture influencer relationships (sustainable growth)
   - Test more viral content formats"

2. Engagement Quality Assessment
   Beyond Surface Metrics:

   Engagement Breakdown:
   Component Analysis:
   - Likes: Passive engagement baseline
   - Comments: Active engagement indicator
   - Saves: Value indicator (future reference)
   - Shares: Viral potential measure
   - Follows from post: Conversion metric

   Quality Metrics:
   Comment Quality:
   - Avg comment length (characters)
   - Question vs. statement ratio
   - @mentions (conversation depth)
   - Emoji usage (sentiment expression)
   - Thread depth (reply chains)

   Sentiment Analysis:
   - Positive sentiment (%)
   - Negative sentiment (%)
   - Neutral sentiment (%)
   - Brand mentions sentiment
   - Product feedback sentiment

   Engagement Health Report:
   "Engagement Quality Audit (March 2026):

   Overall Engagement Rate: 8.2% (above 5% category avg)

   Component Breakdown:
   - Likes: 68% of total engagement
   - Comments: 15% (high! good conversation)
   - Saves: 14% (excellent! content valued)
   - Shares: 3% (opportunity to improve)

   Comment Quality Analysis:
   Sample: 500 comments analyzed

   Avg length: 18 characters (substantial)
   Questions: 35% (high engagement!)
   @mentions: 12% (community interaction)
   Emoji usage: 45% (expressive)
   Thread depth: 2.3 avg replies (good discussion)

   Sentiment Breakdown:
   - Positive: 78% (excellent)
   - Neutral: 19%
   - Negative: 3% (low, manageable)

   Top Engagement Drivers:
   1. Educational carousels: 12% engagement, 25% saves
   2. Before/after posts: 10% engagement, 18% shares
   3. Personal stories: 9% engagement, 22% comments
   4. Tutorials: 8.5% engagement, 15% saves
   5. Product demos: 7% engagement, 10% comments

   Underperforming:
   1. Generic quotes: 4% engagement, 3% saves
   2. Pure promotion: 4.5% engagement, 2% shares
   3. Reposted content: 5% eng