Why Track Your Yearly Data?
Shopping with an agent like LoveGoBuy involves many small decisions. Without a systematic review, it's difficult to see the bigger picture. An annual analysis of your spreadsheet helps you:
- Measure True Shopping Efficiency:
- Identify Trusted Sellers:
- Optimize Your Budget:
- Improve QC Decisions:
Structuring Your LoveGoBuy Data Spreadsheet
A well-organized spreadsheet is crucial. We recommend creating these core columns for each order:
| Column | Purpose |
|---|---|
| Order Date & ID | For chronological tracking and reference. |
| Seller/Store Name | The cornerstone for identifying trusted sellers. |
| Item & Link | Description and URL for future reference. |
| Price (¥) | Item cost, domestic shipping, and total. |
| QC Status | Notes on Quality Control photos (e.g., "Green Light", "Red Light - Flaw", "Exchanged"). |
| Refund Status & Amount | Track if a refund was requested and the amount recovered. |
| Final Outcome Rating | A simple score (e.g., 1-5) or label (Great, Okay, Poor) for the overall experience. |
Conducting Your Year-End Analysis
At the end of the year, use spreadsheet filters and pivot tables (or simple sorting and counting) to summarize the following key areas:
1. Summarize Total Orders & Spending
Calculate your total number of orders, total amount spentaverage order value. This gives you the baseline for your shopping volume.
2. Analyze Refund Performance
Filter the "Refund Status" column to calculate:
- Refund Rate:- Total Amount Recouped:A high refund rate in a specific category (e.g., electronics, clothing) signals an area requiring more caution or better QC.
3. Evaluate QC Outcomes
Review your "QC Status" column. How many items were "Green Lit" immediately? How many required an exchange or were red-lighted? Correlate this with your "Final Outcome Rating." This reveals how effective your QC scrutiny is in ensuring final satisfaction.
4. Identify Your Trusted Sellers
This is the most valuable step. Filter and sort by "Seller/Store Name."- Their individual refund rate.
- The average "Final Outcome Rating"Shops with a 0% refund rate and high average ratings
Turning Data into Action
Your analysis should guide next year's shopping strategy:
- Create a "Trusted Sellers" List:
- Set a Budget Baseline:
- Refine Your QC Checklist:
- Identify Risk Categories: