A practical guide for long-term buyers to analyze spending, refunds, and quality control trends.
Step-by-Step: Reviewing Your Yearly Data
Step 1: Set Up & Consistent Logging
Begin by finding a community template or creating your own spreadsheet with key columns. Consistency is crucial.
| Data Point |
Example |
| Order Date & Link |
2023-11-15, [Product Link] |
| Item Name & Seller |
Jordan 1 Retro High, Seller XYZ |
| Price (¥) |
480 |
| QC Result (Pass/Fail/RL) |
Pass |
| Refund Status & Amount |
No / 0¥ |
| Shipping Cost |
120 |
Step 2: Analyze Total Spending
At year's end, use spreadsheet formulas (like SUM) to calculate totals.
- Total Product Cost:
- Total Shipping Cost:
- Grand Total:
This gives you a clear financial overview for the year.
Step 3: Evaluate Refund Trends
Filter or sort your "Refund Status" column. Ask yourself:
- How many items required a refund/return (RL)?
- What was the total refunded amount?
- Are there specific sellers with a higher refund rate? This can help you avoid problematic sources in the future.
Step 4: Calculate QC Success Rates
Create a simple summary. For example:
- Items Ordered:
- QC Passed (First Try):
- QC Success Rate:84%
A low rate might indicate you need to adjust your QC standards or change sellers.
Step 5: Draw Conclusions & Plan Ahead
Synthesize your findings. Did your spending peak in certain months? Which product categories were most successful? Use this data to create a smarter, more efficient hauling strategy for the coming year, potentially saving both time and money.