For savvy Taobao and Tmall shoppers, a systematic annual review of your shopping data is the key to maximizing efficiency and value. Using your LoveGoBuy order spreadsheet, you can transform raw data into powerful insights. Here’s a guide to summarizing your yearly orders, refunds, and Quality Control (QC) performance to measure long-term shopping efficiency and identify your most trusted sellers.
Step 1: Gather and Organize Your Data
Export or compile your LoveGoBuy order history for the past year into a single spreadsheet. Ensure it includes columns for: Order Date, Seller/Store Name, Item Description, Price (CNY), Service Fee, Shipping Cost, QC Photos Status, and Refund Status.
Step 2: Summarize Yearly Financial Metrics
Create a summary section to see the big financial picture:
- Total Orders:
- Total Spent (CNY):
- International Shipping Total:
- Average Cost per Order:
- Total Spent (CNY):
This tells you your overall engagement level and spending patterns.
Step 3: Analyze Refund and QC Performance
This is crucial for assessing shopping efficiency—minimizing losses from bad purchases.
- Refund Rate:
- QC Photo Utility:
- Common Refund Reasons:
- QC Photo Utility:
Step 4: Identify Your Trusted Sellers
The most valuable outcome of your review. Create a list of sellers you purchased from multiple times.
- Repeat Purchase Rate:
- Seller-Specific Refund Rate:Trusted sellers will have a 0% or very low rate.
- Quality Consistency:
Compile a "Trusted Sellers List" from this analysis for future reference.
Step 5: Measure Long-Term Shopping Efficiency
Combine these insights to define your personal shopping efficiency score. Consider:
- Cost Efficiency:
- Time Efficiency:
- Decision Efficiency:
- Time Efficiency:
Conclusion: Turn Data into Smarter Shopping
An annual review of your LoveGoBuy spreadsheet is more than accounting; it's a strategic audit of your cross-border shopping habits. By summarizing orders, analyzing refunds, and explicitly identifying trusted sellers, you invest time once to save significant money and frustration in the year ahead. Start the new year with a curated seller list and sharper shopping instincts, all derived from your own data.