In the world of cross-border e-commerce and agent services, a single positive transaction is not enough to guarantee a seller's reliability. The true test lies in consistent performance over time. The BBDBuy Spreadsheet
To move beyond gut feeling, focus on these two quantifiable, long-term indicators: Tracking these metrics over multiple, separate transactions
Create a simple spreadsheet with the following columns to build your seller database: After 5+ transactions with a seller, calculate their long-term profile: Replaces reliance on curated store reviews or flashy photos with your own hard data. Identifies sellers with habitually high refund rates, protecting your budget and time. Allows you to confidently invest in higher-value items from proven, consistent sellers.Core Metrics for Long-Term Assessment
Implementing the BBDBuy Spreadsheet System
Seller Name/Store
Transaction Date
Item Purchased
QC Result (Pass/Fail)
Refund or Major Issue? (Y/N)
Notes (Shipping time, communication, etc.)
ExampleStore_123
2023-10-15
Down Jacket
Pass
N
Accurate description, fast shipping.
ExampleStore_123
2023-11-22
Leather Boots
Fail (Wrong color)
Y (Partial refund)
Seller cooperative but error occurred.
How to Analyze the Data
Benefits of This Systematic Approach
Objectivity Over Hype
Risk Mitigation
Informed Decision-Making
BBDBuy: Evaluating Long-Term Seller Performance
2026-02-28