What Is Checkout Abandonment?
Checkout abandonment happens when a shopper starts checkout but leaves before completing the purchase. The abandonment rate is the share of initiated checkouts that do not become orders; reducing it can recover sales without bringing more visitors to your store.
Checkout fixes address different reasons for leaving, so the best first change depends on your customers and checkout data. This calculator estimates the revenue and gross profit each fix could recover based on the reasons shoppers abandon and the recovery impact you expect.
Checkout Abandonment Recovery Formulas
Checkout Abandonment Rate = 100% − Checkout Completion Rate
Abandoned Checkouts = Checkouts Started × Checkout Abandonment Rate
Revenue at Risk = Abandoned Checkouts × Average Checkout Value
Estimated Recovered Checkouts for a Fix =
Abandoned Checkouts × Share of Abandoners Citing That Reason × Fix Impact
Estimated Recovered Revenue = Recovered Checkouts × Average Checkout Value
Estimated Recovered Gross Profit = Recovered Revenue × Gross Margin
The reason percentages describe the share of abandoners attributed to each issue; the fix impact estimates what portion of that group might return after a change. These are planning estimates, not guaranteed results. Shoppers can have more than one reason for leaving, so do not assume the individual fix estimates can be added together without overlap.
How to Use This Calculator
- Enter
checkoutsStarted— the number of checkout sessions initiated during a typical month. - Enter
checkoutCompletionRate— the percentage of those checkouts that become orders. Use your Shopify analytics for the same time period. - Enter
avgCheckoutValueandgrossMargin— use average order value at checkout and product gross margin to estimate both revenue and gross profit at risk. - Estimate abandonment reasons — fill in
shippingCostReveal,accountRequired,complexCheckout,trustConcerns,paymentOptions, andotherReasonsas percentages of abandoners. Use customer surveys, support tickets, or checkout research rather than guessing where possible. - Set the fix assumptions — enter expected recovery percentages in
shippingFixImpact,guestCheckoutImpact,simplifyImpact,trustImpact, andpaymentImpact. A higher figure assumes more shoppers affected by that issue will complete checkout after the change. - Compare the results — use estimated recovered revenue and gross profit to rank fixes. Check whether the leading option is also practical to implement and does not create new costs, such as subsidized shipping.
Step-by-Step Example
Suppose a Shopify store starts 1,200 checkouts per month, completes 45%, has an $78 average checkout value, and a 60% gross margin.
| Calculation | Math | Result |
|---|---|---|
| Abandonment rate | 100% − 45% | 55% |
| Abandoned checkouts | 1,200 × 0.55 | 660 |
| Revenue at risk | 660 × $78 | $51,480 |
| Gross profit at risk | $51,480 × 0.60 | $30,888 |
| Shipping-related abandoners | 660 × 25% | 165 |
| Estimated checkouts recovered by shipping fix | 165 × 40% | 66 |
| Recovered revenue | 66 × $78 | $5,148 |
| Recovered gross profit | $5,148 × 0.60 | $3,088.80 |
This shipping estimate assumes the fix addresses 40% of shoppers who abandon because of unexpected shipping costs. It does not mean the store will recover every shipping-related checkout; compare the estimate with the cost of free shipping or other changes before acting.
How to Prioritize Checkout Fixes
Start with the issue that combines a large affected group, a plausible recovery rate, and a low implementation cost. For example, revealing shipping costs earlier may be more attractive than offering free shipping if the latter erodes gross profit on every order.
Use the calculator to compare estimated recovered gross profit, not just recovered revenue. A payment option could increase completed orders but also carry processing or installment fees; a free-shipping offer can lift conversion while lowering profit per order. Track the change against a baseline, and test one major checkout change at a time where possible.
Industry abandonment statistics can help identify hypotheses, but they cannot tell you exactly why your customers leave. Baymard Institute’s checkout research reports common reasons including unexpected extra costs and forced account creation. Use your own store data and customer feedback to decide whether those patterns apply. The SBA’s market research guide outlines ways to learn about customer preferences and test assumptions.
Checkout Completion Benchmarks
| Completion rate | Interpretation |
|---|---|
| Below 45% | Review checkout errors, unexpected costs, and avoidable friction first. |
| 45–55% | Within the commonly cited average range; investigate the biggest store-specific abandonment reasons. |
| 55–70% | Strong performance; test smaller improvements and monitor profit per order. |
| Above 70% | High completion; protect the experience and check that promotions are not reducing margin. |
These ranges are directional, not universal targets: device mix, product type, traffic quality, price, and shipping expectations all affect completion. Compare your store with its own past performance and traffic sources; use the Conversion Rate Benchmark Tool for broader conversion context and the Revenue Per Visitor Calculator to model how conversion and order value affect revenue per visitor.
6 Tips to Improve Checkout Completion
- Test shipping transparency: Move delivery cost estimates to the cart or product page and compare checkout completion before and after the change.
- Enable guest checkout: Remove mandatory account creation, then measure whether completed orders rise without reducing later customer sign-ups.
- Reduce form friction: Remove fields you do not need to fulfill or support an order; use Shopify’s address autocomplete where available to reduce typing.
- Offer express payments: Enable relevant options such as Shop Pay, Apple Pay, and Google Pay, then compare completion by payment method and device.
- Clarify trust and returns: Place concise delivery, return, and contact information near checkout decisions. The FTC’s business guide to protecting personal information recommends limiting the personal data a business collects and protecting the data it retains.
- Test the full checkout on mobile: Place a test order on a phone, checking page speed, field behavior, discount codes, shipping choices, and payment errors before changing paid traffic or promotions.
For broader storefront improvements, explore Luis Dev Studio services.
Frequently Asked Questions
What is the difference between cart abandonment and checkout abandonment?
Cart abandonment is when someone adds items to a cart but never starts checkout; checkout abandonment is when someone starts checkout but does not complete the purchase. Checkout abandoners have shown stronger purchase intent, so investigating the point where they leave can reveal actionable friction. Common estimates put checkout abandonment around 45–55%, although rates vary by store and measurement method.
Why do people abandon checkout?
Common reasons include unexpected shipping costs, required account creation, a long checkout, trust concerns, missing payment options, slow delivery, and unclear return policies. Baymard Institute reports these issues in its checkout research, but the proportions differ across audiences; use customer feedback and store analytics to identify which ones affect your shoppers.
What is a good checkout completion rate?
A completion rate around 45–55% is commonly cited as average, while high-performing stores may reach 60–70%. Shopify’s one-page checkout and Shop Pay can reduce friction, but results depend on your customer mix, checkout setup, and payment preferences. Compare rates over consistent periods and segments rather than treating one benchmark as a guarantee.
How do I improve checkout completion rate on Shopify?
Enable guest checkout and relevant express payment methods, show shipping costs early, and remove form fields that are not needed to complete an order. Then test the mobile checkout, make delivery and return terms easy to find, and monitor completion alongside average order value and gross profit so a conversion lift does not hide weaker order economics.
Which checkout fix has the biggest impact?
Showing shipping costs earlier, enabling guest checkout, and adding express payments are often high-priority changes, but the best choice depends on your store’s abandonment reasons and implementation costs. Use the calculator to compare estimated recovered gross profit, then validate the leading change with a controlled test or a before-and-after analysis.
Can I add each fix’s estimated recovered revenue to get a total?
Not reliably, because the same shopper may abandon for multiple reasons and could be counted in more than one fix estimate. Treat each result as a separate scenario, test changes in sequence, and recalculate using observed results to avoid overstating the revenue opportunity.
About This Calculator
The Checkout Abandonment Recovery Calculator was built by Luis Dev Studio for Shopify merchants comparing checkout improvements by estimated revenue and gross profit impact. For help prioritizing checkout changes for your store, contact us.
Updated by Luis Gonzalez · Oct 28, 2026