How to Use Tables and Formulas to Calculate Refund Processing Speeds and Seller Reliability Rates
In the dynamic world of e-commerce, particularly on platforms like LitBuy, tracking your order outcomes is crucial for smart shopping. Two key metrics define your experience: Refund Timeline EfficiencySeller Accuracy Rate. By creating a simple yet powerful spreadsheet, you can transform anecdotal frustration into actionable data, helping you make better purchasing decisions and hold sellers accountable.
Create a spreadsheet with the following columns. This structure allows for comprehensive tracking and easy formula application.
| Order ID | Seller Name | Order Date | Item Received? | Refund Request Date | Refund Approved Date | Refund Received Date | Refund Duration (Days) | Seller Outcome |
|---|---|---|---|---|---|---|---|---|
| LB-2023-58741 | TechGadgetsPro | 2023-10-05 | No | 2023-10-20 | 2023-10-21 | 2023-10-25 | (Calculated) | (Calculated) |
| LB-2023-59233 | BookWorld | 2023-10-10 | Yes | N/A | N/A | N/A | N/A | OK |
| LB-2023-60512 | TechGadgetsPro | 2023-10-15 | Yes (Wrong Item) | 2023-10-30 | 2023-11-02 | 2023-11-05 | (Calculated) | (Calculated) |
In cell Explanation:IF(ISNUMBER(G2), ...)NETWORKDAYS(start_date, end_date)
Average Speed Dashboard:=AVERAGE(H2:H100) // Assuming data up to row 100
H2
=IF(ISNUMBER(G2), NETWORKDAYS(E2, G2), "N/A")
This requires two steps: classifying orders and then calculating a percentage.
Step 1 — Auto-classify "Seller Outcome" in column I:I2, use a formula to label each order automatically.
=IF(D2="Yes", IF(COUNT(F2,G2)=0, "OK", "Issue"), "Not Received")
Step 2 — Create a Seller Summary Table:
Formulas for Summary Table:
Seller Name
Total Orders
Successful Orders ("OK")
Reliability Rate
TechGadgetsPro
2
0
0.0%
BookWorld
1
1
100.0%
With this LitBuy Spreadsheet, you are no longer shopping in the dark.
By systematically analyzing this data, you elevate your role from a passive buyer to an informed consumer, advocating for your own time and money with clear, undeniable records.
