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BBDBuy: Evaluating Long-Term Seller Performance with the Spreadsheet

2025-12-22

In the world of online purchasing, particularly from international B2B or B2C platforms, a single successful transaction is a positive sign, but it is not a definitive measure of a seller's reliability. True trust is built over time and across multiple orders. The BBDBuy Spreadsheet Methodology

The Two Pillars of Long-Term Evaluation

While communication speed and initial price matter, the BBDBuy framework prioritizes two critical, outcome-based metrics that directly impact your operational efficiency and bottom line:

  • Quality Control (QC) Pass Rate:consistent
  • Refund/Failure Frequency:

Structuring Your BBDBuy Spreadsheet

Create a dedicated sheet for seller evaluation. For each seller, log every transaction to build a historical record. Essential columns should include:

Seller Name/ID Order Date Product SKU Quantity Ordered QC Passed Quantity QC Pass Rate (%) Refund Required? (Y/N) Refund Reason Notes
Supplier_A 2023-10-15 PN-100 500 488 97.6% N N/A Minor packaging issues
Supplier_A 2024-01-22 PN-100 750 730 97.3% Y 20 units DOA Refund processed promptly
Supplier_B 2023-12-05 PN-200 300 270 90.0% Y Critical flaw in 30 units Slow dispute response

From Data to Decision: The Analysis Phase

With data accumulated over 3+ transactions, pivot tables or simple formulas can reveal the long-term story:

  1. Calculate Averages:average lifetime QC Pass Rate. A seller consistently above 95% is generally excellent. Be wary of sellers with rates trending downward.
  2. Identify Patterns in Refunds:
  3. Compare Consistency:

This analysis allows you to segment sellers into clear categories: Strategic PartnersConditional SuppliersVendors to Avoid

Building a Foundation of Trust

The BBDBuy Spreadsheet method transforms subjective impression into objective evaluation. By meticulously recording and analyzing QC Pass RatesRefund Frequencyknowing