An annual review of your LoveGoBuy shopping data is a powerful habit. By systematically analyzing your orders, refunds, and Quality Control (QC) performance, you can measure long-term shopping efficiency and pinpoint your most trusted sellers.
Step 1: Gather and Structure Your Data
Export or compile your yearly order information into a structured spreadsheet. Essential columns should include:
- Order Date & ID:
- Seller Name/Store:
- Item & Price:
- QC Result:
- Refund Status:
- Agent Notes:
Step 2: Summarize Key Metrics
Create summary tables or use pivot functions to calculate:
| Metric | What It Measures | Calculation Insight |
|---|---|---|
| Total Orders & Spend | Overall shopping volume and investment. | Sum all orders. Track month-over-month trends. |
| Refund Rate (%) | Seller/item reliability and pre-QC accuracy. | (Orders with Refunds / Total Orders) * 100. |
| QC Pass Rate (%) | Direct product quality from sellers. | (QC Passed Orders / Total Orders) * 100. |
| Cost per Successful Item | True cost efficiency. | Total Spend / (Total Orders - Refunded Orders). |
Step 3: Identify Trusted Sellers
Filter and sort your data by seller/store. Your trusted sellers will typically show:
- A high volume of repeat orders from you.
- A QC Pass Rate of 95% or higher.
- A Refund Rate near 0%, indicating accurate listings and good service.
- Positive notes in the Agent Notes column.
Flag these sellers in your spreadsheet for future shopping priority.
Step 4: Measure Long-Term Shopping Efficiency
Look at the broader picture:
- Trend Analysis:
- Category Spending:
- Cost-Benefit:
Conclusion: Turn Data into Smarter Shopping
Your LoveGoBuy yearly spreadsheet is more than a record—it's a strategic map. By dedicating time to this review, you transform past experiences into actionable intelligence. You’ll spend less on problematic items, consolidate purchases with reliable sellers, and ultimately achieve greater satisfaction and value from your shopping journey.
Start your review today and build a more efficient shopping year ahead.