LoveGoBuy: Mastering Seller Analysis with Your Spreadsheet Data
In the world of Taobao and Chinese e-commerce, not all sellers are created equal. As a savvy LoveGoBuy user, you can transform raw agent data into a powerful reliability dashboard. By systematically analyzing historical QC Pass RatesDelivery Times, you can identify your top performers and minimize shopping risks.
The Two Pillars of Seller Reliability
To consistently choose the best sellers, focus on these two critical metrics extracted from your LoveGoBuy order history:
- QC Pass Rate (%):
- Average Domestic Delivery Time (Days):
Step-by-Step: Building Your Comparison Spreadsheet
Step 1: Data Compilation
Export your LoveGoBuy order history. Create a spreadsheet with columns for: Order ID, Seller Name, QC Result (Pass/Fail), and Domestic Delivery Time (Days).
Step 2: Calculate Key Metrics per Seller
Use spreadsheet functions to create a summary table:
| Seller | Total Orders | QC Passes | QC Pass Rate | Avg. Delivery Time |
|---|---|---|---|---|
| Shop_A | 10 | 9 | 90% | 3.2 days |
| Shop_B | 15 | 12 | 80% | 5.5 days |
Formula Tip:COUNTIFAVERAGEIF
Plot sellers on a simple quadrant:Step 3: Analyze & Create a Priority Matrix
Pro Tips for Ongoing Management
To keep your portfolio sharp:
- Update Regularly:
- Weight Recent Data:
- Note Exceptions:
- Cross-Reference with Reviews:
- Weight Recent Data:
Conclusion
Shifting from guesswork to data-driven decisions empowers your LoveGoBuy experience. A simple spreadsheet analysis of QC Pass RatesDelivery Times