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BBDBuy: How to Analyze Seller Performance Through Spreadsheet Insights

2026-02-16

The Core Metrics: QC Pass Rate and Processing Speed

Effective seller analysis hinges on tracking two critical, complementary metrics:

  • QC Pass Rate:
  • Order Processing Speed:

Tracking these in a single spreadsheet creates a holistic view of seller performance.

Structuring Your Performance Spreadsheet

Begin with a clear table structure. Here's a foundational example:

Seller ID Seller Name Total Orders Units Inspected Units Passed QC Pass Rate % Avg. Speed (Days) Performance Tier
S-77891 Precision Goods Co. 15 1200 1176 98.0 4.2 Top Performer
S-99234 Swift Assembly Ltd. 22 3500 3325 95.0 2.5 Top Performer
S-44561 Basic Parts Inc. 8 800 712 89.0 7.8 Needs Review

Applying Conditional Formatting for Instant Insights

This is where static data becomes actionable intelligence. Use conditional formatting to create a heat-map effect.

For QC Pass Rate (%) Column:

  • Green (>= 95%):
  • Yellow (90% - 94%):
  • Red (< 90%):

For Avg. Speed (Days) Column:

  • Green (<= 3 days):
  • Yellow (4 - 6 days):
  • Red (    6 days):

Most spreadsheet tools (like Google Sheets or Microsoft Excel) allow you to set these rules under the "Format"     "Conditional formatting"

Identifying High-Performing Sellers

A true high-performergreen in both columns—combining high quality with fast speed. These are your key strategic partners.

Prioritize analysis of sellers with:

  • Mixed Signals (e.g., Green/Red):
  • Consistent Red Highlights:

Actionable Next Steps from Your Analysis

Your formatted spreadsheet is now a decision-making dashboard. Use it to:

  1. Allocate Volume:
  2. Initiate Conversations:
  3. Build a Tiered Supplier List:

By transforming raw data into a visually formatted performance matrix, BBDBuy agents can move from intuition to evidence-based sourcing, fostering stronger, more reliable supplier relationships.