Return Cost Calculator
Impact of returns on 100 orders
Return & Refund Cost Calculator – Measure Profit Loss from Returns | tolkit.me
What Is the Return & Refund Cost Calculator?
The Return & Refund Cost Calculator on tolkit.me helps e-commerce stores measure the financial impact of product returns. Instead of guessing how much returns cost you, this tool turns your return rate and handling costs into clear numbers.
You enter:
- Return Rate (%)
- Average Order Value
- Cost per return (shipping + handling)
The calculator then shows:
- Expected loss per 100 orders
- Net margin after returns (simplified)
- A short recommendation based on the impact of returns
Everything runs with pure front-end math — no backend, no data storage, just instant results.
Why You Should Measure Return & Refund Costs
Returns are a hidden margin killer. Shipping labels, handling time, restocking and refunds all eat into profit, especially in apparel, footwear and DTC brands with generous return policies.
This calculator helps you:
- ✔️ Quantify expected loss per 100 orders from returns
- ✔️ See how returns affect your net margin after returns
- ✔️ Understand when high return rates are destroying profitability
- ✔️ Justify changes to shipping, sizing, policies or product pages
- ✔️ Communicate return impact clearly to your team or investors
How to Use the Return & Refund Cost Calculator
The UI is simple: a few inputs on one side and a clean results card on the other. You can optionally add a small bar chart in your implementation to visualize margin before vs after returns.
-
1Enter your Return Rate (%):
This is the percentage of orders that typically get returned or refunded. For example, if 10 out of 100 orders are returned, your return rate is 10%. -
2Enter your Average Order Value (AOV):
Add the average amount customers spend per order in your store (including tax or shipping if you want to model it that way consistently). -
3Enter the Cost per return:
This should include all costs directly associated with processing a return:
• Return shipping label (if you cover it)
• Handling / processing cost
• Any additional packaging or repacking -
4Review the Expected loss per 100 orders:
The calculator assumes a base of 100 orders and shows how much money you lose from returns on that volume, based on your inputs. -
5Check your Net margin after returns:
Using a simplified margin assumption, the results card estimates your net margin after return costs and provides a short recommendation like “Impact is low”, “Moderate impact” or “Severe impact”.
How the Return Cost Logic Works (Pure Math, No Backend)
The Return & Refund Cost Calculator uses simple formulas and runs entirely in your browser with pure JavaScript. There is no backend or API — only transparent, front-end math.
A basic implementation might use:
- Returned orders per 100 = 100 × (Return Rate ÷ 100)
- Expected loss per 100 orders = Returned orders per 100 × Cost per return
- Revenue per 100 orders = 100 × Average Order Value
- Net margin after returns (%) ≈ (Revenue − Expected loss) ÷ Revenue × 100
Based on the net margin after returns and the percentage of revenue lost, the tool can display a simple recommendation, for example:
- Loss < 5% of revenue → “Low impact — returns are under control.”
- Loss 5–15% of revenue → “Moderate impact — consider optimizing returns.”
- Loss > 15% of revenue → “High impact — investigate policy, sizing, or product quality.”
Add a small bar graph that compares Revenue per 100 orders vs Loss from returns, so users can visually see how much of their revenue is being “eaten” by returns.
Frequently Asked Questions
Yes. The Return & Refund Cost Calculator is completely free to use. You can run as many scenarios as you like without creating an account.
No. All calculations happen locally in your browser using JavaScript. Your inputs are only used to show you the results and are not stored on a server.
Yes. As long as you use the same currency for AOV and Cost per return, the results will be correct for any country or store.
High return loss can be a sign of sizing issues, misleading product photos, quality problems or an overly generous policy. Use this calculator as a starting point to justify deeper analysis and improvements across your product pages and operations.