Shopping Cart Conversion Rate: 5 Ways to Optimize Your Cart
- Shopping cart conversion rate equals completed orders divided by carts created, times 100, and the cart abandonment rate is 100 percent minus that figure.
- Baymard Institute calculates an average documented online cart abandonment rate of 70.22 percent, based on 50 studies (list last updated September 22, 2025).
- Extra costs such as shipping, tax and fees are the top fixable reason for abandonment, cited by 40 percent of US shoppers who abandoned for a reason other than just browsing (Baymard).
- A cart converts better when it shows the full price, is easy to edit, offers familiar payment methods and makes security visible before the checkout button.
- Cart changes should be tested, not assumed: A/B test layout, price disclosure, trust signals and calls to action against the current cart page.
Shopping cart conversion rate is the share of shopping carts that become completed orders. A low rate usually means shoppers are abandoning the cart page, and the fix is to optimize that page according to a few basic rules: show the full price, make the cart easy to change, make it feel safe, and give hesitant shoppers a reason to continue. Before you change anything, analyze your statistics and on-site customer behavior, so you know which of these problems you actually have.
Customers leave their shopping carts for various reasons. Whether it is a poor product presentation, slow loading time, ineffective search or an unclear delivery policy, investigate and solve these problems, and keep optimizing your main pages according to customer preferences and market trends.
Once a visitor has arrived on the cart page, they have become a shopper. The job at this stage of the sales funnel is to turn them into a buyer. They have decided what to buy, and all they want is a fast and secure path to checkout, with no complications. This article stays on the cart page itself. For the steps after it, see our guide to eCommerce checkout optimization.
What is shopping cart conversion rate?
Cart abandonment rate = (1 − completed orders ÷ shopping carts created) × 100
Worked example. In one month, shoppers on your store create 1,200 carts, and 360 of them become orders. Your shopping cart conversion rate is 360 ÷ 1,200 × 100 = 30 percent. Your cart abandonment rate is 70 percent.
Analytics tools do not all count carts the same way. Some count carts created, some count sessions that viewed the cart page, and some count sessions with an add-to-cart event. Pick one definition, use it consistently, and segment the rate by device and traffic source. A single sitewide number hides most of what you need to know.
Why do shoppers leave the shopping cart?
Baymard's cart abandonment rate list (last updated September 22, 2025) also reports that 42 percent of US online shoppers have abandoned a cart because they were just browsing or not ready to buy. Set that group aside, and the remaining reasons look like this:
| Reason for abandoning | Share | Cart page fix |
|---|---|---|
| Extra costs too high (shipping, tax, fees) | 40% | Show the final price, including taxes and shipping |
| Delivery was too slow | 20% | Show delivery options and dates in the cart |
| Did not trust the site with credit card information | 19% | Make security visible before checkout |
| The site wanted me to create an account | 18% | Offer guest checkout from the cart |
| Too long or complicated checkout process | 17% | Show how short the checkout is |
| Could not see or calculate total order cost up front | 12% | Show a clear order total |
| Not enough payment methods | 9% | Offer and display more payment methods |
Every row in that table except slow delivery can be addressed, at least partly, on the cart page. The five ideas below cover the most important ones.
5 ideas to optimize the shopping cart conversion rate
1. Display the final price, including taxes
Pricing is a very sensitive topic for customers. They want to know how much they have to pay for the products they have chosen. At this final step of their journey, assure customers there are no extra taxes and that what they see is all they will pay. A misleading price, or a total that grows between the cart and the payment step, can make them leave because they no longer trust the store.
Display an easy way to calculate the total price, including the product price, taxes and shipping costs. If shipping depends on location, let shoppers enter a country or postal code in the cart and see the real number, rather than finding it several steps later. When this article was first written, Net-a-Porter was a good example: its cart showed the product price and the shipping cost together, so shoppers could see the total before checkout.
2. Implement a flexible shopping cart
A flexible cart lets shoppers add and remove products and change quantities easily, without help from tutorials or support. Do not make them leave the cart because they cannot change the quantity of a product or delete one they added by accident. Put clear Remove and Quantity controls next to every item, and make them large enough to tap on a phone.
Another thing that makes the cart flexible is payment choice. Offer the methods your customers already use, and show them in the cart, not only on the payment step:
- Cards: credit and debit cards (Visa, Mastercard, American Express, Maestro and others).
- Digital wallets: PayPal, Apple Pay and Google Pay, which also save mobile shoppers from typing card details.
- Pay later and local methods: buy-now-pay-later options, payment on delivery and any method that dominates in your main markets.
3. Show customers how short the checkout will be
A progress bar makes customers feel in control of the whole buying process. Let them know how long it will take to complete the order. This helps shoppers in a hurry, because they can see there are only three easy steps to checkout and they will not wait forever. It is also a good idea to tell them how long the process takes (one minute, five minutes, and so on). When this article was first written, Currys showed this kind of step indicator at checkout.
I recommend not having a checkout longer than four steps, because no one likes a long, complicated and boring ordering process where they have to type in lots of information. Do not ask for any information you do not need. If customers have to create an account to order, give them the option to complete their profile later, perhaps with a reminder email, and do not push it on them when they want to check out. Once they have completed their profiles, use that information to show personalized content and offers. Our guide to checkout optimization covers the steps after the cart in detail, and our article on user flows shows how to map the full path from product page to order.
4. Make secure shopping visible
Give your customers every reason to consider your brand trustworthy. Assure them that their personal data will not be exposed and their card information will not be stored. Data security is crucial at this stage of the funnel, on the cart page. If you do not assure shoppers it is safe to continue to checkout, they might leave.
There are two ways to increase trust with secure shopping:
- Encrypt the whole site. Serve the cart and every other page over HTTPS. The Secure Sockets Layer (SSL, now succeeded by TLS) provides a secure channel between two machines communicating over the internet or an internal network. Modern browsers warn visitors about pages that are not served securely, so this is now a minimum requirement rather than an advantage.
- Show the proof. Display your security policy, the logos of the payment methods you accept, and recognized security or trust badges near the checkout button.
Words matter here too. When this article was first written, ASOS used the call to action "Pay Securely Now" instead of a plain "Pay Now", had a "Secure Shopping" section explaining that the site used SSL technology, and showed Visa and Mastercard logos. That combination removes a purchase barrier for undecided shoppers who are skeptical about paying online. Reminding customers how long you have been in business ("Established in 1997", for example) can also build trust.
5. Use web personalization
Do not let customers leave your website without offering them something. When shoppers are about to leave the cart, use exit-intent overlays to:
- Display a discount or voucher for buying now, or for a future order.
- Display more information about the products in the cart.
- Ask them to complete a short survey about why they are leaving.
The survey answers are often the most valuable of the three, because they tell you which of the problems above your own shoppers have. For more ideas, see our overview of web personalization trends.
Test a price display, a trust badge or an exit-intent offer on your real cart before you roll it out.
See how A/B testing works in Omniconvert Explore →How to use analytics to optimize the shopping cart
Advanced analytics helps eCommerce businesses understand how customers interact with the cart and the rest of the purchasing process. With that understanding, you can tailor the shopping experience to what customers need and prefer, which makes a purchase more likely.
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Gather actionable dataCapture data across your website. Focus on cart abandonment at different stages, time spent on the cart page, and the effect of pricing changes or shipping options on behavior. Use heatmaps to see where customers click most often and session recordings to see how they move through the cart.
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Analyze customer behaviorLook for patterns. Find common drop-off points and the elements that cause friction. Is there a step where customers hesitate or leave? Perhaps a form field is too intrusive or confusing. Analytics can reveal problems like these.
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Segment your usersSegment customers by behavior, demographics and purchase history to see which groups abandon their carts more and why. First-time visitors, for example, may abandon more often, which suggests they need more reassurance about security and customer service. Compare mobile and desktop too; our guide to mobile CRO covers the device gap.
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Use predictive analyticsForecast future buying behavior from historical data. This helps you personalize the cart for returning customers or suggest the most relevant products to new ones. Predictive models can also support inventory planning. For customer-level segments built on purchase history, Nexus by Omniconvert groups customers by recency, frequency and monetary value.
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Test and optimizeUse A/B testing to try the changes your data suggests could reduce abandonment. Test cart page versions with different layouts, price disclosures and calls to action, and keep the variant that achieves the highest conversion rate.
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Act in real timeReal-time analytics gives immediate insight into customer behavior and cart performance, so you can make quick adjustments, such as a time-limited offer or a support message, that help close sales that would otherwise be lost.
The table below matches each part of the cart page to what to test and how to read the result.
| Cart element | What to test | How to read the result |
|---|---|---|
| Price and shipping display | Full total with shipping estimate vs subtotal only | More shoppers reaching the shipping step without leaving means hidden costs were the barrier |
| Cart editing controls | Larger quantity and remove controls, inline updates | Fewer exits right after an edit attempt, especially on mobile |
| Payment method display | Payment logos and wallet buttons in the cart vs only at payment | Higher cart-to-checkout rate; check completed orders, not only clicks |
| Trust signals | Security message and badges near the checkout button; button copy | Effect is often larger for first-time visitors, so segment new vs returning |
| Exit-intent overlay | Discount vs product information vs survey | Weigh extra orders against discount cost and repeat abandonment |
Which psychological triggers increase cart conversions?
These triggers tap into shoppers' subconscious reactions and emotional responses and encourage them to finish what they started. Here are the key ones you can integrate into your shopping cart.
Urgency
A sense of urgency can prompt users to decide quickly. Use time-sensitive offers, such as limited-time discounts or low-stock warnings, to encourage shoppers to act now. For example, show a countdown timer for a special offer, or indicate that only a few items are left in stock.
Scarcity
Like urgency, scarcity taps into the fear of missing out (FOMO). When customers believe an item is in short supply, they see it as more valuable, which can speed up their decision. Highlight exclusive products or limited editions in the cart to make the offer feel worth grabbing before it is gone.
Social proof
Social proof has a strong influence on purchasing behavior. Include customer reviews, testimonials or ratings on the cart page. Positive feedback from other buyers reassures shoppers about the quality of the product and the reliability of your brand. You can also show real-time statistics, such as "12 people have bought this in the last hour", as long as the number is real.
Simplification
Make the decision as simple as possible. Reduce the number of checkout steps and the amount of required information. The easier and faster it is to complete the purchase, the less time the customer has to second-guess the decision.
Reciprocity
People feel obliged to give back when they receive something. In the cart, consider offering a small free sample, or a discount on a future purchase as a thank-you for this one. This can help close the current sale and also encourage loyalty and repeat purchases. Our guide on how to increase average order value covers related cart offers.
Commitment and consistency
People like to act consistently with their commitments. Encourage small commitments that lead to a purchase, such as saving favorite products or choosing preferences. These lead to more personalized offers and make a purchase more likely.
Used together and honestly, these triggers make the cart a more persuasive place to complete a purchase. Test each one, because what persuades one audience can annoy another.
How to test cart changes with Omniconvert Explore
With Omniconvert Explore, you can build a cart page variant, for example a version that shows the shipping estimate and payment logos above the checkout button, and run it against the original with a share of your traffic. Explore reports the effect on orders and revenue, so you keep the version that performs better rather than the one that looks better. For inspiration, see these A/B testing examples.
Explore draws on 70,000+ experiments across 7,000+ websites in 15+ industries, with a 23.2% average uplift.
Frequently Asked Questions
Divide the number of completed orders by the number of shopping carts created in the same period, then multiply by 100. If shoppers created 1,200 carts in a month and 360 of them became orders, the shopping cart conversion rate is 360 divided by 1,200, times 100, which is 30 percent. Some analytics setups count sessions that reached the cart page instead of carts created, so check which definition your reports use before you compare numbers.
There is no single good number, because it changes with industry, price point, device and traffic source. As a reference, Baymard Institute calculates an average documented cart abandonment rate of 70.22 percent across 50 studies, which means roughly three in ten carts become orders on average. The more useful benchmark is your own trend: segment the rate by device and traffic source, and measure whether each change you make moves it up.
The shopping cart abandonment rate is the percentage of online shoppers who add items to their shopping cart but leave without completing the purchase. It is calculated by dividing the number of completed transactions by the number of shopping carts created, subtracting this from one, and multiplying by 100. It is the mirror image of the shopping cart conversion rate: the two always add up to 100 percent.
Cart optimization works on the cart page itself: how the total price is shown, how easy it is to change quantities or remove items, which trust signals appear, and what the shopper sees before they press the checkout button. Checkout optimization works on the steps that follow: forms, account creation, shipping choice and payment. The two overlap, because a cart that hides costs or looks unsafe sends fewer shoppers into checkout, so most stores work on both.
Email can re-engage customers who left items in their cart. Send a follow-up a few hours or days after abandonment to remind them what they left behind and bring them back to the cart. These emails can include images of the products left in the cart, a discount code, or an offer of free shipping. Test the timing and the incentive, because a discount in every reminder teaches customers to abandon on purpose.
Design affects cart conversions, but no color works everywhere. What matters is contrast: the checkout button should be the most visible action on the page, and secondary links such as continue shopping should not compete with it. A simple layout, clear navigation and a visible order summary reduce distractions and guide the shopper toward the purchase. A/B test button color, copy and placement to see what works for your audience.
Many shoppers now build and review their carts on a phone, so a cart that is hard to use on a small screen loses sales. A mobile-optimized cart loads quickly, shows the total and the checkout button without much scrolling, has tap targets large enough to change a quantity or remove an item, and offers wallet payments such as Apple Pay or Google Pay so the shopper does not have to type card details.
Support helps shoppers who have a question at the last moment, such as a delivery date, a sizing doubt or a payment problem. Offering live chat on the cart page, or a clearly visible phone number or help link during peak hours, lets them get an answer without leaving the cart. Help that is easy to find at this moment reassures customers and removes a reason to abandon.
Open your own cart on a phone and on a desktop, add two products, and try to change a quantity, remove an item and find the final price including shipping. Note every moment you hesitate. Then check your analytics for the share of carts that become orders, split by device and traffic source. Fix the obvious problems first: hidden costs, a cart that is hard to edit, missing payment methods and weak security signals. After that, stop guessing. Turn each remaining idea into a hypothesis and A/B test it against the current cart page, so every change you keep has earned its place.
Test your cart page instead of guessing
Omniconvert Explore lets you A/B test price display, cart layout, trust signals and calls to action, ask leaving shoppers why they abandon with on-site surveys, and personalize the cart for different segments. Explore has run 70,000+ experiments across 7,000+ websites, with a 23.2% average uplift.