Your store probably does not have a traffic problem. It has a conversion problem.
Baymard Institute tracks the global average cart abandonment rate at 70.19% across 49 independent studies. Seven out of every ten people who pick a product and add it to their cart leave without buying. For most mid-market merchants, the gap between current and possible revenue sits inside the store itself, not in the ad account.
An eCommerce CRO audit finds those leaks. Done properly, it produces a prioritized list of fixes ranked by revenue impact, not opinion. Done poorly, it produces a 50-page PDF that nobody reads.
Below are the ten issues we see most often when auditing eCommerce stores running on Adobe Commerce, Magento, Shopify Plus, Shopware, and BigCommerce. Each one is documented in industry research, each one is fixable, and each one is costing you orders right now. Treat this as a working CRO audit checklist.
1. Unexpected costs at checkout
This is the single largest source of recoverable revenue loss in eCommerce. Baymard’s 2025 quantitative study found that 48% of US shoppers who abandoned a cart in the last quarter did so because of unexpected extra costs at checkout. Shipping fees, taxes, and surcharges that appear only at the payment step destroy the trust built across the rest of the journey.
The fix is straightforward in principle and political in execution. Surface shipping costs on the product page or in the cart drawer. Show a free-shipping threshold with a progress bar. Calculate taxes before the payment step. Stores that move shipping transparency out of the final checkout step recover a measurable share of the 48%.
2. Forced account creation
26% of shoppers abandon carts when forced to create an account, according to Baymard’s reasons-for-abandonment research. This is the second most common documented reason for abandonment, and it has held that position for years.
Guest checkout solves it. Offer account creation as an optional step after the order confirmation, when the customer is committed and the friction cost is low. Stores that test this rigorously almost always see add-to-purchase rates rise. Forcing registration before checkout is one of the cheapest mistakes to fix and one of the most expensive to leave in place.
3. Page speed below the conversion threshold
The Deloitte Milliseconds Make Millions study found that a 0.1-second improvement in mobile site speed lifted retail conversion by 8.4% and increased customer spending by 10.2%. Portent research found that sites loading in 1 second convert at 2.5 times the rate of sites loading in 5 seconds.
Google’s Core Web Vitals translate that into three measurable targets:
- Largest Contentful Paint (LCP) under 2.5 seconds on mobile
- Interaction to Next Paint (INP) under 200 ms
- Cumulative Layout Shift (CLS) under 0.1
Rakuten 24 documented a 33% conversion rate increase and a 53% revenue-per-visitor increase after systematic LCP, CLS, and INP fixes. The average unoptimized product detail page now loads in around 6.1 seconds. Anything above 3 seconds on mobile is bleeding revenue every day. For Magento and Adobe Commerce stores specifically, a performance audit is usually where the first wave of CRO wins comes from.
4. A mobile experience built second
Mobile drives 60-76% of eCommerce traffic depending on the source, yet desktop conversion rates remain roughly twice as high. Shopify benchmarks put mobile conversion at about 2.87% versus 4.51% on desktop. Average order value follows the same pattern: roughly $86 on mobile vs. $122 on desktop. For category-specific numbers, see our breakdown of average eCommerce conversion rate by industry.
That gap is the single biggest opportunity in most audits. Common mobile-specific issues we find:
- Hero images that lazy-load above the fold (this hurts LCP, not helps it)
- Tap targets smaller than the recommended 48 px
- Variant selectors that block the add-to-cart button
- Sticky CTAs that overlap the checkout button on iOS Safari
- Forms that trigger the wrong keyboard for number, email, and postal-code fields
Test on real mid-range Android devices on throttled 4G connections. DevTools emulation hides most of these issues.
5. Weak social proof on product pages
The Spiegel Research Center found that products with five or more reviews convert at 270% higher rates than products with no reviews. For products priced above $100, the lift reaches 380%. Build Grow Scale A/B tests across 23 product pages found that displaying a specific review count next to the star rating (for example, “★★★★★ 4.8, 1,247 reviews”) increased add-to-cart by 18% vs. star ratings alone.
Two patterns kill social-proof performance:
- Reviews placed below the fold, where most mobile users never scroll
- Star ratings shown without the review count, which the brain processes as opinion rather than consensus
Move the rating, count, and one representative review excerpt above the fold, close to the price and the buy button. Display the star-level breakdown for transparency. The sweet spot is 10 to 50 verified reviews per product. Below 5, lead with a different trust signal.
6. Missing or buried trust signals at the buy box
49% of shoppers see the absence of trust badges as a fraud warning. Beyond reviews, the trust signals that move add-to-cart and checkout conversion are specific and placement-sensitive:
- Return policy displayed near the CTA (lifts add-to-cart by up to 23% in tested cases)
- Delivery date stated explicitly (“Order in 2h 14m for delivery Thursday”), not “Ships in 1-2 days”
- Security icons directly below the payment button at checkout, not on the homepage
- Genuine low-stock indicators when inventory is actually limited
Fake urgency timers and inflated “27 people viewing” notices generate short-term lift and long-term damage. Once shoppers detect manipulation, recovery is expensive.
7. A checkout flow with too many form fields
Baymard checkout research documents that the average eCommerce checkout asks for 23.48 form elements by default, when 12 to 14 are actually needed. Cutting the field count by 20-60% is technically possible on most checkouts.
22% of US shoppers abandon carts specifically because the checkout is too long or complicated. The fixes are well established:
- Combine first and last name into a single field unless the carrier requires the split
- Auto-detect city and state from the postal code
- Hide the second address line behind a toggle
- Remove the phone field unless the carrier requires it for delivery
- Default the billing address to the shipping address with a single checkbox to change it
Baymard estimates that addressing documented checkout usability issues across all 140 known causes can lift conversion by an average of 35.26% on large sites.
8. Broken analytics and broken assumptions
Most CRO audits fail before they begin because the data is wrong. We routinely find GA4 implementations missing one or more of the standard ecommerce events (view_item, add_to_cart, begin_checkout, purchase), checkout funnels with double-fired events that inflate the rate, and conversion tracking that breaks every time the dev team ships a new payment method.
Before you trust any audit finding, walk your own checkout end-to-end and watch the events fire in real-time in GA4 DebugView. If they do not match the actual user behavior, nothing downstream of that data is reliable. This is the unglamorous step that separates an audit from a guessing exercise.
9. Product pages that answer the wrong questions
Baymard found that only 56% of eCommerce sites offer what testers rated as a “good” product page UX. The other 44% lose conversions to specific, recurring information gaps:
- Sizing information without a clear comparison
- Material or specification fields that are present but not labeled
- Shipping cost and delivery date hidden from the product page
- Images that show the product but not its scale or use context
- Variant selectors that do not update price, image, and stock status together
The fix is not “write better copy.” Identify the three questions your customer support team answers most often about each category, then surface those answers on the product page before the user has to ask. Review mining, support ticket analysis, and post-purchase surveys all converge on the same shortlist of unanswered questions for each product type.
10. No prioritization framework after the audit
This is where most CRO audits collapse. The team collects 60 findings, gets overwhelmed, and either tries to fix everything at once or picks changes based on gut feel.
Triangulation is the discipline that fixes this. A problem that surfaces in three sources at once is a high-confidence priority. For example: analytics shows a 29% cart-to-checkout drop-off → heatmaps show users not seeing shipping info → post-purchase surveys list shipping cost as the top near-abandonment reason. Three data sources pointing at the same friction. Fix that first.
Single-source findings go further down the list. Hypotheses without data go off the list entirely. Score everything by reach × impact × confidence × effort, ship the top items, measure the result, repeat.
What a useful CRO audit actually delivers
A real audit answers four questions in this order:
- Where are users dropping off, with quantified loss per step?
- Why are they dropping off, validated by behavioral data?
- Which fixes are highest impact at lowest effort?
- What do we ship next quarter, and how will we know it worked?
If the deliverable does not answer all four, it is a checklist, not an audit. The difference shows up in the next quarter’s revenue.
Atwix runs this process on Adobe Commerce, Magento, Shopify Plus, Shopware, and BigCommerce stores. We pair quantitative analysis (GA4, heatmaps, funnel exits) with heuristic review against documented Baymard guidelines and competitor benchmarking. Most engagements start with a focused diagnostic: a Magento technical audit, a performance audit, or an SEO audit depending on where the conversion drag is actually coming from.
If your conversion rate has plateaued, your mobile-to-desktop ratio is wider than 0.6, or your checkout abandonment is above 75%, an audit will pay for itself before the second sprint closes.