How to use tables and formulas to calculate refund processing speeds and seller reliability rates, empowering you to make smarter purchasing decisions.
Why Track This Data?
In the world of e-commerce, understanding refund timelinesseller accuracy
Building Your Analysis Spreadsheet
A structured table is the foundation. Here’s a recommended column setup for tracking orders and refunds.
| Order ID | Seller Name | Item as Described? (Y/N) | Refund Request Date | Refund Completion Date | Refund Reason |
|---|---|---|---|---|---|
| LB2024-001 | TechGadgetsPro | N | 2024-10-01 | 2024-10-05 | Faulty item |
| LB2024-002 | BookWorld | Y | N/A | N/A | N/A |
| LB2024-003 | StyleHub | N | 2024-10-03 | 2024-10-10 | Wrong size |
Key Formulas for Analysis
1. Calculate Refund Processing Speed
Add a column titled "Processing Days". Use a formula to calculate the business days between request and completion.
=[@[Refund Completion Date]] - [@[Refund Request Date]]To get an average processing speed
Create a summary table to assess seller reliability. Track total orders and accurate orders. Formulas used:=AVERAGEIFS([Processing Days], [Seller Name], "TechGadgetsPro", [Processing Days], ">0")2. Calculate Seller Accuracy Rate
Seller Name
Total Orders
Accurate Orders (Y)
Accuracy Rate
Avg. Refund Days
TechGadgetsPro
5
3
60%
4.2
BookWorld
8
8
100%
N/A
Creating an Overall Dashboard
Use PivotTables or summary cells to create a high-level dashboard view:
Overall Platform Health:
- Average Seller Accuracy: =AVERAGE([Accuracy Rate Column])
- Median Refund Processing Time: =MEDIAN([Processing Days])
- Most Common Refund Reason: =MODE([Refund Reason])