For savvy online shoppers using LoveGoBuy
Begin by exporting or manually compiling your LoveGoBuy order history from the past year. You will need the following core data points for each transaction: Create a workbook with these key sheets: Use formulas to generate these crucial metrics: With your KPIs calculated, you can now draw powerful conclusions: An annual review of your LoveGoBuy data is more than just bookkeeping; it's a strategic audit of your shopping ecosystem. By dedicating a small amount of time to organize and analyze your yearly spreadsheet, you empower yourself to make smarter purchasing decisions, allocate your budget towards reliable sellers, and significantly enhance your overall shopping efficiency. Start compiling your data today—your future self will thank you for the savings and hassle-free hauls.Step 1: Compile Your Raw Data
Step 2: Structure Your Summary Spreadsheet
Sheet Name
Purpose
Key Metrics
Annual Overview
High-level dashboard of the year.
Total Orders, Total Spend, Avg. Cost per Order, Refund Rate
Seller Performance
Analyze efficiency by seller.
Orders per Seller, Total Spend, QC Pass Rate, Refund Rate by Seller
QC & Refund Log
Detailed record of issues.
RL Reasons, Refund Reasons, Problem Patterns
Step 3: Calculate Key Performance Indicators (KPIs)
Step 4: Analyze to Identify Trusted Sellers & Inefficiencies
Conclusion: Data-Driven Shopping for Long-Term Success
LoveGoBuy: Mastering Your Yearly Data Review for Smarter Shopping
2025-12-13