1. Refund Ratio (%)
Refund Ratio = (Refunded Items / Total Items) * 100
This shows the percentage of problematic purchases, helping identify issues with specific items, sellers, or timeframes.
Effectively monitoring your PinguBuy data is key to optimizing your purchasing strategy. This guide will show you how to transform raw spreadsheet data into clear, actionable charts for refund ratios, quality control (QC) pass rates, and average shipping costs over time.
Ensure your PinguBuy spreadsheet has the following columns consistently logged over multiple time periods (e.g., weeks or months):
Add calculation columns to your sheet. For each time period, compute:
Refund Ratio = (Refunded Items / Total Items) * 100
This shows the percentage of problematic purchases, helping identify issues with specific items, sellers, or timeframes.
QC Pass Rate = (Items Passed QC / Items Inspected) * 100
This measures the reliability of seller quality. A dropping pass rate may indicate you need to switch sellers or provide more detailed specifications.
Average Shipping Cost = Total Shipping Cost / Total Shipped Parcels (or Items)
Track this to understand cost trends and evaluate the efficiency of your parcel consolidation strategy.
Use your spreadsheet software's chart tool (like in Google Sheets or Microsoft Excel).
Insight:
Insight:
Create a separate dashboard sheet featuring all three metrics in individual sparklines (mini-charts) or a single combined chart for an at-a-glance view of performance trends over the last 6-12 months.
With your charts created, look for these patterns: