How to Improve Checkout Conversion: A Practical Guide
Find where shoppers drop out of checkout, fix friction, payments and trust in a clear order, and send buyers in better prepared. Includes a testing plan.
8 November 2026 · 12 min read


To improve checkout conversion, measure where buyers leave stage by stage, fix the earliest big drop first (usually extra fields, surprise costs and missing payment options), and test each change on its own. Then look upstream: shoppers who arrive at checkout sure of their choice finish more often than shoppers who are still unsure. This guide shows the order to work in.
TL;DR
- Checkout conversion is completed purchases divided by checkout sessions. Track it by stage, device and payment method, not as one number.
- The usual leaks are unexpected costs, forced account creation, long forms, weak mobile payment options and low trust. Fix them in that order of effort.
- Wallet payments, address autofill and a numeric keypad on mobile are cheap fixes that many large checkouts still lack.
- Many shoppers abandon because they are not sure yet, so a good share of checkout conversion is won before the checkout page.
- Change one thing at a time, and recover the rest with a short, well-timed follow-up sequence.
Table of Contents
- What checkout conversion measures
- Why shoppers abandon checkout
- Remove friction from the form
- Fix payments and trust
- Win the decision before checkout
- Perspective: Fix the decision, not only the form
- Measure, recover and test
- A two-week plan to start
- Send better-prepared buyers to checkout with Funelyze
- FAQ
- Sources
What checkout conversion measures
Checkout conversion rate is the share of shoppers who start checkout and finish paying: completed purchases divided by checkout sessions, times 100. It is different from your sitewide conversion rate, which counts every visitor. It covers only people who already showed strong intent, so a low number here is the most expensive leak in your store.
The definition matters because tools count differently. Stripe's analytics documentation splits a checkout into three steps: the session loads, the customer attempts to pay, and the payment is authorized. Conversion is completed sessions divided by loaded sessions. Seeing those three steps separately tells you whether people leave before they try to pay or whether payment attempts fail.
Two habits keep the number honest:
- Use one definition and keep it. Decide whether "started checkout" means the page loaded or the first field was touched. Never compare a number from one definition with a number from another.
- Separate conversion from approval rate. Checkout conversion counts people, while approval rate counts charge attempts. A buyer declined twice and approved on the third try counts once in conversion and three times in approval rate.
As a rough frame, Baymard's research on why about 70% of carts are abandoned is a reminder that most carts do not convert. Do not chase an industry average. Your own stage-by-stage data is the better benchmark, and the first goal is to beat your own last month.
Why shoppers abandon checkout
Not every abandonment is a checkout problem. In Baymard's study, 42% of US online shoppers had abandoned a cart in the previous three months because they were just browsing or not ready to buy. In the same study, 17% had abandoned an order because the checkout was too long or complicated. The first group needs reassurance and clarity. The second group needs a shorter form.
Academic work points to the same set of causes. A research summary from Leeds Beckett University's Retail Institute lists unexpected delivery costs, account-creation requirements, complicated checkouts and doubts about payment security as the leading reasons, with mobile shoppers slightly more likely to abandon than desktop shoppers. A 2024 review in the Canadian Journal of Marketing Research adds delivery delays and pricing transparency, and describes abandonment as an outcome of trust, convenience and perceived value together.
So you are fixing three different problems:
- Friction: too many fields, forced accounts, slow pages.
- Surprise: costs, delivery times or return terms that appear late.
- Doubt: the shopper is unsure about the product, the fit or the seller.
Remove friction from the form
Start here, because it is the least debatable. Every field is a chance to quit.
Cut fields and make guest checkout obvious
NN/g's mobile checkout guidelines recommend making guest checkout prominent and easy to find, reducing the number of form fields and filling in fields automatically from what the system already knows about the user. Go through your form line by line and ask what you truly need to ship the order and take payment. A second address line, a company name and a phone number you do not use are the usual candidates to remove or make optional.
If you want account creation, offer it after payment, on the confirmation page, when the shopper has no reason to hesitate.
Use autofill and address lookup
Stripe's analysis of North American checkouts found that address autocomplete can lift conversion by close to 0.8%. That sounds small until you apply it to every order you take. It is one of the cheapest changes on this list.
Fix the details that break mobile checkout
The same Stripe study found that 13% of checkouts did not show a numeric keypad for card entry on mobile. Check your own store on a real phone:
- Card and phone fields open the numeric keypad.
- Labels stay visible while typing.
- Error messages are immediate and say what to fix.
- The primary button is reachable with a thumb and the page does not jump while loading.
Open your checkout on a mid-range phone on a mobile connection once a quarter. You will find things no desktop review reveals.
Fix payments and trust
Offer the payment methods your buyers expect
Stripe's review of the top 200 US and Canadian ecommerce businesses, done with Edgar, Dunn & Company, found that 96% of checkouts had at least five basic errors, including poor card formatting, missing popular payment methods and no option to save a payment method. It also found that 76% did not support Apple Pay and 88% did not support Google Pay, while close to 37% of American consumers had one of the two enabled. One-click payment was on average three times faster than typing card details.
That study dates from 2021, so wallet support is likely better today. But it is still the right checklist: wallets at the top of the page on mobile, saved payment methods for returning buyers, and clean card formatting.
Do not overdo it. A merchant playbook from Antom recommends starting with three to five relevant payment methods in the default view, keeping others in a secondary layer, and comparing selection, submission and completion data before changing the default. More choices are not automatically better.

Show the full price early
Unexpected costs are the most repeated cause of abandonment in the research above. The fix is plain: show shipping, taxes and fees on the product or cart page, or at least in a clear estimate before the shopper enters any details. Antom's guidance also says to show full costs before the buyer commits.
Answer trust questions at the point of doubt
Place the return policy, delivery window and secure payment cues next to the pay button, where the question arises. Keep them short and real. Claims you cannot back up cost more trust than they win.
Win the decision before checkout
Friction fixes help people who already want to buy. But the largest group in Baymard's data was people who were not ready. For catalogs where the shopper must pick between options (skin type, size, goal, plan), the checkout page is too late to help them decide.
This is where guided selling helps. A short quiz asks a few questions, then recommends a product and sends the shopper straight to the cart. The shopper arrives at checkout with a specific choice already made, rather than with five tabs open.
McKinsey reports that personalization can lift revenues by 5% to 15% and increase marketing ROI by 10% to 30%. Those are general figures from their research, not a promise for any one store. For practical starting points, see our guides on ecommerce personalization and how to increase Shopify conversions.

If you do add an offer inside checkout, keep it light. Order Editing's guidance on checkout upsells is to offer one strong choice or a short curated list, keep the price low, avoid products that need sizing or compatibility research, and never preselect the checkbox. The shopper should opt in on purpose.
Perspective: Fix the decision, not only the form
We build quiz funnels for small businesses and Shopify stores, so we see checkout from one step earlier. Most advice about checkout starts when the shopper is already in it. In our experience of how stores sell, a large part of abandonment is simply indecision, and a better form does not fix indecision.
That is why we designed Funelyze to start from your website URL, draft a branded quiz with questions in your own style, and end on a result page that recommends products from your catalog and moves the visitor toward the cart. Our aim is that the person who reaches your checkout has already been told what suits them and why.
We would still tell any store to fix the basics first: fewer fields, wallets, honest costs. Then use a quiz to bring better-prepared buyers to that cleaner checkout. The two efforts multiply each other.
Matas
Measure, recover and test
Find the biggest drop first
Work in a fixed order. Measure where buyers leave, stage by stage. Find the earliest stage with the largest drop. Fix it, and test the change. Antom's playbook warns against copying a generic best-practice list and says your own checkout data is the better starting point.
Split your data by device, new versus returning buyers, and payment method. A checkout that converts well on desktop and poorly on mobile has a mobile problem, and the sitewide average hides it.
Test one change at a time
Treat optimization as a loop, not a redesign. Omniconvert's advice is to start with a hypothesis, test one element at a time, and combine on-site surveys with heatmaps and session replays so hunches turn into testable changes. A simple test note should say:
- What we think is wrong, and the evidence.
- The single change.
- The metric that decides it.
- How long we will run it.
Small stores often lack the traffic for a clean A/B test. In that case, change one thing, compare against the previous period on the same weekdays, and note anything else that changed, such as promotions.
Follow up with people who left
Segment people by where they dropped: cart abandoners, checkout drop-offs and failed payments. Intempt's guidance is to build a separate recovery journey for each segment. Gorgias recommends sending the first abandoned cart email within an hour, then following up at 24 and 48 hours.
Match the message to the cause. Someone who failed a payment needs a simple link back to a working checkout. Someone who left at the shipping step may need the delivery details. Someone who was unsure may need help choosing.
For Shopify stores, a cart permalink with a discount code lets a recovery message or quiz result land the shopper in a prefilled cart.
Read benchmarks with care
Baymard's benchmark of 344 leading ecommerce sites found that 65% had a mediocre or worse checkout, only 2% were rated good, and none reached the top tier. Read that as encouragement: the bar is low, and basic fixes put you ahead of many sites.
A two-week plan to start
| Days | Task | Why |
|---|---|---|
| 1 to 2 | Define checkout conversion and pull the last 90 days by device | One definition, a real baseline |
| 3 to 4 | Walk through your checkout on a phone and note every extra field | Finds friction fast |
| 5 to 7 | Remove fields, enable autofill and wallets, show costs earlier | Low-effort fixes with known effects |
| 8 to 10 | Set up a three-email recovery sequence | Recovers part of the leak |
| 11 to 14 | Add a product finder or plan quiz that links to the cart | Reduces indecision upstream |
Send better-prepared buyers to checkout with Funelyze
If your visitors hesitate between products, Funelyze can build the quiz for you. Paste your website URL, pick a goal such as product recommendations or lead collection, and the platform drafts a branded quiz and result pages. It is designed to be live in under ten minutes, without code. For Shopify stores, our product quiz app connects to your catalog and is built to send quiz-takers to the cart, and you can also install on WordPress, WooCommerce, Webflow, Wix, Squarespace, Framer or any HTML site.

A good place to start is the product finder quiz template, or browse all templates. Funelyze has a Free plan at $0 per month, Pro at $29 per month and Business at $79 per month; see the pricing page for what each includes. Our analytics help you see which questions and results lead people onward, and the quiz uses no cookies and includes built-in consent text. For the wider picture, read our guide to optimizing a sales funnel.
FAQ
What is a good checkout conversion rate?
There is no single number that fits every store, because it depends on your products, prices, traffic sources and device mix. Baymard's cart abandonment research shows that most carts never convert, so use public averages only as context. Set your own baseline from the last 90 days and aim to beat it.
What should I fix first?
Fix the earliest stage with the largest drop in your own data. If you have no data yet, start with the usual causes: surprise costs, forced account creation, long forms and missing mobile payment options. These are the leading reasons in the Leeds Beckett research.
Does guest checkout really matter?
Yes. Forced account creation is one of the most consistently reported abandonment reasons, and NN/g recommends making guest checkout prominent. If you want customer accounts, invite the buyer to create one after the purchase is complete.
Can a quiz improve checkout conversion?
A quiz works before checkout. It helps undecided shoppers pick a product, so they reach the cart with a clear choice. Funelyze is designed to recommend products from your catalog and send quiz-takers to the cart. Your checkout form still needs the basics covered, so treat the two as a pair.
Sources
- Use Checkout Studio to track analytics, Stripe docs
- Checkout conversion rate: calculate it by country, Mundpay
- Reasons for cart abandonment, Baymard Institute
- Checkout abandonment, The Retail Institute, Leeds Beckett University
- Factors influencing cart abandonment in e-commerce, Canadian Journal of Marketing Research
- The Mobile Checkout Experience, NN/g
- The state of North American checkouts in 2021, Stripe
- E-commerce checkout optimization for global sellers, Antom
- What is personalization?, McKinsey
- Checkout upsell best practices, Order Editing
- Ecommerce checkout optimization: 25 best practices, Omniconvert
- Checkout flow optimization by drop-off segment, Intempt
- Reduce cart abandonment, Gorgias
- E-commerce cart and checkout usability research, Baymard Institute