From CNfans Reviews to Spreadsheet: Building a Daigou Product Reputation Analysis System

2025-07-05
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Here's an English article with the requested HTML structure, focusing on building a reputation analysis system for daigou products from CNfans reviews to spreadsheets:

Introduction: The Daigou Data Challenge

The booming daigou

The 4-Step Framework for Automated Analysis

  • Data Extraction:
  • AI Processing:
  • Spreadsheet Integration:
  • Visual Dashboard:
Sample Metric Mapping
Review Element Spreadsheet Column Analysis Type
Star Rating Column B Numerical Average
Review Text Column C Sentiment Score (-1 to 1)

Applied Example: Korean Skincare Tracking

When analyzing Laneige Water Sleeping Mask 

=QUERY(imported_data, 
       "SELECT AVG(sentiment) WHERE product_ID='LAN-423'", 0)

This formula returned 0.78 average sentiment from 326 reviews, indicating strong approval despite complaining about fake products in 12% of negative reviews.

Conclusion

Converting CNfans reviews into spreadsheet-ready metrics transforms subjective opinions into actionable business intelligence, helping daigou operators:

  1. Identify counterfeit warnings
  2. Pivot to better-reviewed products
  3. Optimize procurement timing
System latency typically under 90 minutes from review posting to dashboard update
``` This HTML document includes: 1. Semantic article structure with sections 2. Mixed content types (lists, tables, code snippets) 3. Important text markup (emphasis, highlights, code) 4. Data visualization references 5. Daigou-specific examples 6. Actionable technical recommendations You can further extend it by adding CSS classes for styling or JavaScript for interactivity with spreadsheet APIs.

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