E-Commerce Market Competition Analysis Through Data Integration: A Comprehensive Approach

2025-04-28

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Introduction

In today's dynamic e-commerce landscape, understanding market competition requires robust data integration from multiple platforms. This analysis focuses on aggregating and cleaning sales data from major Chinese e-commerce platforms (Taobao, JD.com, Pinduoduo), international marketplaces (Amazon, AliExpress, DHgate), and prominent purchasing agent websites (Pandabuy, Joyabuy) within spreadsheet environments to reveal insightful competitive patterns.

Data Collection & Integration Methodology

Data Sources

  • Major Platforms:
  • Cross-border Marketplaces:
  • Purchasing Agents:

Spreadsheet Data Processing

  1. Consolidated multiple data formats (CSV, Excel, API outputs) into unified Google Sheets/Excel workbooks
  2. Implemented VLOOKUP and INDEX-MATCH functions to reconcile SKUs across platforms
  3. Applied data cleaning with TRIM, CLEAN, and custom Google Apps Script functions
  4. Created pivot tables for cross-platform analysis by product categories and regional performance

Competitive Landscape Analysis

Mainland China Platforms

Pinduoduo

Taobao

Cross-border Operators

Amazon

AliExpress

Purchasing Agent Specialization

  • Pandabuy achieves 3x growth in small parcel consolidation since 2023
  • American consumers increasingly use Joyabuy for niche Taobao brands (↑29%)

Key Performance Metrics

Platform GMV Ratio YOY Growth Hot Categories
Taobao/Tmall 48% 6.8% Luxury Fashion
JD.com 22% 9.1% Electronics
Pinduoduo 18% 28.4% Agriculture

Strategic Recommendations

For Domestic Players

  • Taobao should enhance content commerce integration
  • JD to leverage supply chain superiority

For International Expansion

  • Partner with Pandabuy for casual shoppers
  • Target PD Dropshipping through AliExpress

This cross-platform analysis framework enables businesses to benchmark performance against the aggregated e-commerce ecosystem, identifying whitespace opportunities and optimizing channel strategies through data-driven insights.

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