CRO / Shopify
August 7, 2026
Low Shopify conversion usually comes down to a short list of fixable issues: a slow or confusing product page, hidden costs or forced accounts at checkout, a clunky mobile experience, slow load times, and missing trust signals. Work through them in order of impact, starting with checkout and mobile, where most sales are lost.
If your store gets traffic but few sales, the cause is rarely mysterious, it is almost always one or two items on a familiar list. This checklist walks through the usual culprits, grouped by where they live in the buying path.
It is the practical companion to why your Shopify store gets traffic but no sales, which explains the diagnosis. This is the fix-list.
Checkout problems, by a wide margin. Baymard’s research asked shoppers why they abandoned, and the answers cluster heavily around cost transparency and checkout friction.
Baymard Institute, reasons for abandoning at checkout, US shoppers. Shoppers could pick more than one reason, so these do not sum to 100%. The “just browsing, not ready to buy” response (42%) is excluded, because it is not a fixable design problem. Everything shown here is.
The number most articles quietly drop Delivery too slow ranks second at 20%, above forced accounts and above checkout length. It is rarely on a CRO checklist because it is not a design fix, but if your shipping options are slower than the category norm, no amount of checkout tidying will recover those shoppers.
Work top to bottom, but fix in order of impact, not appearance. Checkout and mobile issues lose the most sales, so start there.
Conversion problems are not equal. A broken mobile checkout costs far more than an inconsistent button colour. Scan the whole list, note what applies, then fix the highest-impact items first. To find which is costing you the most, pair this with how to diagnose Shopify conversion issues.
This is the order of expected impact, not the order the checklist appears in below. Your own analytics may reorder it, and should.
Five groups, each with a priority level. Tick what applies to your store, then fix in the order above.
The number one trigger, cited by 40% of abandoners. Show shipping and fees early, on the cart page.
Second at 20%. Offer a faster tier, and state delivery dates rather than vague ranges.
Card-security worries drive 19% away. Add security badges, returns terms, and real contact details.
Drives away 18%. Offer guest checkout, and invite account creation after the order.
Complexity loses 17%. Cut to essential fields and enable autofill.
12% abandon because they could not calculate the total up-front. Show a running total.
9% abandon for this. Add wallets like Shop Pay, Apple Pay and Google Pay.
Keep the primary action visible without scrolling. A sticky bar helps.
Enable autofill and wallet payments so nobody types a card number on a phone.
Cramped controls cause misfires and frustration on the highest-traffic device.
The primary action should be visible without scrolling, especially on mobile.
Missing sizes, materials, shipping or returns creates hesitation.
Images do the selling. Show scale, detail and use.
Reviews and ratings reduce perceived risk at the decision point.
Confusing prices or promotions stall shoppers mid-decision.
Compress images, limit heavy apps, and audit your theme.
See the thresholds below. Failing them costs conversions and rankings.
Verify analytics first, or you are optimising against bad data. See how speed impacts conversion.
An unsatisfactory returns policy is cited by 13% of abandoners. Uncertainty is a silent conversion killer.
Visitors should grasp what you sell, and why yours, within seconds.
Reviews, guarantees, policies and real contact details.
Real clarity on stock or shipping cutoffs, not fake countdown timers.
Percentages are Baymard’s abandonment reasons, shown against the checklist item each one maps to. Items without a percentage are established usability practice rather than survey findings.
Three metrics, each with a pass mark. Google publishes them, and failing any one is worth fixing before you test anything else.
Largest Contentful Paint. How fast the main content appears.
Interaction to Next Paint. How quickly the page responds to a tap.
Cumulative Layout Shift. How much the page jumps while loading.
Google’s published “good” thresholds, measured at the 75th percentile of real user visits. Mobile and desktop are assessed separately, so check both.
Start with checkout and mobile, where committed buyers are lost in the largest numbers. Then work back up to product pages, speed, and trust.
The honest shortcut: if you only fix a few things, fix your mobile checkout. It combines your highest-traffic surface with the place ready buyers abandon. After that, let your own data set the order, which the diagnostic guide helps you read.
A checklist tells you what to look at; your data tells you what is actually costing you. We combine the two, diagnosing which items on this list are hurting your store most, then fixing them in impact order.
On one engagement, that approach lifted a client’s conversion rate by 6% and revenue per visitor by 7%, both A/B tested at 95% confidence.
Checkout friction, usually surprise costs, forced account creation, or an overly long checkout. Extra costs alone are cited by 40% of abandoners in Baymard’s research, making these the highest-value fixes because they lose shoppers who were ready to buy.
Some fixes, such as enabling guest checkout or showing costs earlier, can lift conversion quickly. Others compound over time. Give each change enough traffic and time to measure honestly rather than judging it in a week.
No. Most stores have a few issues doing most of the damage. Fix the highest-impact ones first rather than everything at once, and use your own data to decide which those are.
Pair this with your analytics and session recordings. The data shows where shoppers drop; recordings show why. Together they tell you which checklist item is costing you most, which is rarely the same for two stores.
Because it is the second most cited reason for abandonment at 20%, above forced accounts and checkout length. Most CRO checklists skip it because it is an operations problem rather than a design one, but it still loses the sale, so it belongs on the list.
Cart and checkout abandonment reasons, US shoppers, multi-select so figures do not sum to 100%. Ranked as shown, with “just browsing / not ready to buy” (42%) excluded because it is not a fixable design problem — Baymard Institute.
Core Web Vitals thresholds: LCP under 2.5s, INP under 200ms, CLS under 0.1, assessed at the 75th percentile of real user visits — Google.
Fracto client engagement: +6% conversion rate, +7% revenue per visitor, A/B tested at 95% confidence.