Integrating E-commerce Sales Data in Spreadsheets for Competitive Landscape Analysis
2025-04-25
The global e-commerce landscape continues to evolve with dominant players like Taobao, Pinduoduo, JD.com, Amazon, AliExpress,DHgate, alongside emerging proxy shopping platforms such as PandabuyJoyabuy. By consolidating and cleaning sales data from these platforms within spreadsheets, businesses can leverage data analytics
1. Data Collection & Spreadsheet Integration
1.1 Multi-platform Data Sources:
- Domestic platforms (China):
- Cross-border platforms:
- Proxy shopping agents:
- Cross-border platforms:
| Data Field | Example Metrics | Cleaning Method |
|---|---|---|
| Product Listings | SKU, Title, Category | Remove duplicates, standardize命名 |
| Sales Volume | Units sold, GMV | Outlier filtering (Z-score) |
| Pricing | Discounts, Historical prices | Currency normalization |
2. Competitive Landscape Analysis Framework
2.1 Market Share by Platform (2024 Estimates)
[Bar chart: Taobao 38%, Pinduoduo 25%, JD.com 20%, Amazon 12%, Others 5%]
Figure 1: China's e-commerce market share distribution
2.2 Core Competitive Advantages
Price Leadership:
Pinduoduo's
Logistics Edge:
JD.com's
Cross-border Efficiency:
AliExpress
Niche Specialization:
Pandabuy
3. Strategic Recommendations
- Price-sensitive segments:
- Premium branding:
- Global expansion:
- Proxy agent partnerships:
- Premium branding:
Systematic spreadsheet integrationTaobao/Pinduoduo), while niche proxies (Pandabuy) differentiate through vertical expertise. Real-time dashboard integrations are recommended for ongoing monitoring.1
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