Definition
Abandoned cart
A shopper adds products to the cart (or starts checkout) but leaves before completing the purchase.
An abandoned cart is a shopping session where someone added items or began checkout, then left without paying. Most stores live with high abandonment; the job is not to drive it to zero, but to separate fixable friction from normal browse behavior. Shopify's abandoned checkout recovery tools exist because checkout drop-off is routine, not a crisis banner.
Recovery email and SMS can win back a slice of those sessions when consent, timing, and offer design are sound. Fixing the cart and checkout experience usually returns more than another discount code. Treat abandonment as a conversion and UX signal first, a messaging problem second.
Cart abandonment vs checkout abandonment
Operators mix two different events. Cart abandonment usually means products sat in a cart (or drawer) and the shopper never started payment. Checkout abandonment means they entered the checkout flow (email, address, or payment step) and left before order creation. Checkout abandoners are warmer: they showed purchase intent and often left an email or phone for recovery.
Cart-only abandoners may still be comparing, waiting for payday, or using the cart as a wishlist. Segment the two in analytics. Shopify tracks abandoned checkouts as incomplete checkouts with customer contact data when available. Your ESP or CDP may define "cart" events differently from "checkout started." Align definitions before you compare week over week. A spike in cart adds with flat checkout starts points at merchandising or price.
A spike in checkout starts with flat orders points at shipping, tax, payment, or trust. Recovery messaging should differ too: checkout recovery can reference progress; pure cart recovery should restate value, not assume they almost paid.
High abandonment is normal (what is not)
People abandon carts for ordinary reasons: price comparison, distraction, shipping cost revealed late, account creation walls, payment friction, or simply saving items for later. Cross-device behavior (browse on phone, buy on desktop) also inflates "abandonment" if sessions do not stitch.
Research firms and platform blogs often cite overall cart abandonment in a band around seventy percent; treat that as a directional norm, not a KPI you must beat by twenty points this quarter. What matters is your trend by device, traffic source, and new versus returning customer, and the revenue you can recover without training discount dependency. A brand with complex configurable products will abandon more than a one-SKU impulse store.
Paid social traffic often abandons more than email traffic. Compare yourself to your own baseline after major UX changes, not to a guru's screenshot. Pair abandonment rate with conversion rate and completed-checkout rate so you do not "improve" abandonment by scaring off browsers who never would have bought.
Recovery email, SMS, and consent
Recovery sequences remind the shopper what they left and make it easy to return to cart or checkout. A common pattern is a first message within an hour, a second within a day, and a final reminder, sometimes with a modest incentive only on the last touch. Shopify Email's abandoned checkout templates are a practical starting point for stores that are not ready for a full ESP build. Consent is not optional.
Email recovery generally requires a valid address captured at cart or checkout under your privacy and marketing rules; SMS usually needs explicit opt-in for commercial messages. Do not buy lists or text numbers you cannot defend. Content should show the items, total, shipping expectations, and a deep link back to the same cart. Over-discounting trains waiting behavior and can crush average order value contribution.
Operators in communities like r/ecommerce often report that only a single-digit to low-teens share of abandons convert through recovery, useful as a sanity check against fantasy dashboards.
UX and offer causes you can fix first
Messaging cannot fix a broken checkout. Audit the path from add-to-cart to paid order on mobile and desktop with real payment methods. Common killers: surprise shipping or duties at the last step, forced account creation, slow pages, limited payment options, unclear delivery dates, and trust gaps on first-time brands. For international, tax and landed-cost surprises drive exits that no email will fully recover.
Prioritize fixes by volume of exits at each step, not by which app is easiest to install. Show shipping ranges earlier. Offer guest checkout. Surface payment methods customers already use. Reduce form fields. If free shipping thresholds drive average order value strategy, state progress toward the threshold in the cart. Run a five-user session replay review before you buy another cart app.
Recovery flows then catch true distractions and comparisons; they should not paper over a checkout that fails basic usability.
How to measure recovery without lying to yourself
Define recovered revenue as orders attributed to recovery messages within a fixed window, minus the discount cost of incentives, and ideally net of returns when you can. Track recovery rate as recovered orders divided by eligible abandoned checkouts, not divided by all site sessions. Exclude bots, test orders, and staff carts. Split email versus SMS versus onsite retargeting so one channel does not take credit for another.
Watch for double counting when someone receives an email and also returns via a retargeting ad. Use UTM parameters or ESP attribution consistently. Report recovery as a contribution to revenue, not as proof the storefront is healthy. If recovery climbs only because you deepened discounts, contribution margin may fall. Tie the metric to customer lifetime value only when recovered buyers actually retain; a one-time coupon buyer is not automatically a good cohort.
Review weekly: volume of abandons, contactable rate, send rate, click rate, conversion, discount cost, and disputes from recovered orders.
A practical recovery setup for Shopify and beyond
Start native if you can. Enable abandoned checkout emails in Shopify, confirm branding and deep links, and test the full path on mobile. Add SMS only with proper opt-in and frequency caps. Expand to a full lifecycle ESP when you need branching, product recommendations, or multi-brand rules. Keep the sequence short: value reminder first, social proof or FAQ second, incentive last and only if margin allows.
Suppress purchasers immediately so no one gets a "you left something" note after they bought. Exclude high-risk regions or SKUs if fraud is a problem. Align recovery copy with live inventory so you do not promote an out-of-stock cart. For deeper app comparisons, see our guide on abandoned cart recovery apps for Shopify. After launch, A/B test subject lines and incentive depth, not ten variables at once.
The goal is reliable, consented recovery that respects the customer and the unit economics, not a louder stack of popups.
Common questions
Frequently asked questions
What counts as an abandoned cart?
A shopper added items or started checkout and left without completing payment. Platforms differ on whether they count cart-only events or only abandoned checkouts with contact data.
Is a ~70% abandonment rate bad?
Not by itself. Industry figures often land near that range. What matters is your trend, where people drop, and whether recovery plus UX fixes improve profitable orders.
What is the difference between cart and checkout abandonment?
Cart abandonment stops before or without a serious checkout attempt. Checkout abandonment happens after checkout starts, usually a warmer lead with better recovery odds if you have an email or phone.
Do abandoned cart emails still work?
Yes when they are consented, timely, specific to the items left, and not only deep discounts. They recover a minority of abandons; they are not a substitute for fixing checkout friction.
Should every recovery message include a discount?
No. Lead with the cart contents, shipping clarity, and trust. Save incentives for later touches or high-intent segments so you do not train customers to abandon on purpose.
Related terms
