1. QC Accuracy (Line Chart or Bar Chart)
Plot the percentage of QC passes per month
Leverage Filters and Charts to Compare QC Accuracy, Pricing, and Delivery
On a platform like PinguBuy, consistent product quality, competitive pricing, and reliable delivery are key to customer satisfaction. By analyzing seller performance over time, you can make data-driven decisions, identify top partners, and address issues proactively. Spreadsheet analytics transforms raw data into actionable insights.
Start by organizing your data in a spreadsheet with clear columns. Essential data points include:
Filters allow you to isolate specific seller data for precise comparison.
This segmentation helps you answer targeted questions about each seller's strengths and weaknesses.
Visualizations make trends and outliers immediately apparent.
Plot the percentage of QC passes per month
Use a scatter plotcombo chart
Calculate the average delivery delay (Actual Date - Promised Date). A histogram
Create a separate dashboard sheetAVERAGEIF, COUNTIF, and VLOOKUP.
Example Summary Table:
| Seller | QC Pass Rate (%) | Avg. Price Index* | On-Time Delivery (%) | Avg. Customer Rating |
|---|---|---|---|---|
| Seller_A | 98.5 | 1.02 | 95 | 4.8 |
| Seller_B | 87.2 | 0.95 | 78 | 4.1 |
*Price Index: Normalized to market average (1.0).
Sort this table by any column to instantly rank sellers on the metric that matters most to your business.
By systematically using spreadsheet filterscharts
Start with your next data export and build your comparative analysis today.