UX / Accessibility
Accessibility Quick Wins That Also Help Conversion
// the same fixes help assistive-tech users and everyone else
By Fracto Solutions
October 24, 2026
The short answer
Six issue types cause 96% of the accessibility errors automated scans detect: low contrast, missing alt text, unlabeled form fields, empty links, empty buttons, and missing page language. Fix those, add CAPTCHA to the list because scans miss it, and test checkout by keyboard. Most of these are plain usability fixes that help every shopper, not only assistive-tech users.
Why focus on quick wins?
Because accessibility failures are concentrated. WebAIM’s February 2026 report found six issue types account for 96% of all errors it detected across a million home pages, so a short, focused fix list clears most of what a scan will find without a rebuild.
You do not have to boil the ocean. The same handful of issues shows up on most stores, which makes them high-leverage, and three of the six (contrast, alt text, empty links and buttons) are things a merchant adds rather than things a theme ships with. That means you can fix them without touching much code. This is the action list under our accessibility pillar.
One honest caveat before the list. WebAIM’s 95.9% and 56.1 errors per page describe what one automated engine detected, and WebAIM is explicit that not every conformance failure can be found automatically and that an absence of detected errors does not mean a page is accessible. Clearing the six categories is the fastest useful work available. It is not the whole job.
Which fixes should I make first?
Contrast, alt text, form labels, keyboard operability, descriptive link and button text, and a declared page language. These six cover the large majority of detected failures, and each one also removes friction for sighted, mouse-using shoppers.
Fix
Home pages failing
What to do
Color contrast
83.9%
Meet WCAG contrast ratios for body and button text
Image alt text
53.1%
Describe product images meaningfully, skip decorative ones
Form labels
51.0%
Label every input, including every checkout field
Empty links
46.3%
Give icon and image links real text or an accessible nam
Empty buttons
30.6%
Name every button, especially add to cart and payt
Page language
13.5%
Set the lang attribute so screen readers pronounce the page
WebAIM Million, February 2026 data. These six categories account for 96% of all errors detected.
Work through them in that order on your highest-traffic templates first: home, collection, product, cart, checkout. Contrast is usually the fastest and the most visible, because it is a theme setting rather than a code change on most stores, and it is the one failure a sighted shopper on a phone in daylight will also feel.
What about CAPTCHA at checkout?
Add it to your list even though no automated scan will flag it. In WebAIM’s Screen Reader User Survey #10, respondents ranked CAPTCHA the most problematic item they encounter, by a notable margin, ahead of unexpected interactive behavior and unclear links.
On a store, CAPTCHA almost always sits on account login and checkout, which are the two places you can least afford to block someone. If you need bot protection, prefer an invisible or risk-based challenge over an image or audio puzzle, make sure a non-visual fallback actually works, and test it yourself with a screen reader rather than assuming the vendor handled it. This is the kind of barrier that never appears in a scan report and shows up immediately in a manual pass.
How do I find these issues quickly?
Run a free automated accessibility checker on your key templates to catch contrast, alt-text, and labeling problems, then navigate your store using only the keyboard. Between the two you will find most of the high-impact issues in an afternoon.
Automated scans are fast and catch the common, measurable failures. The keyboard pass catches what automation misses: can you reach and operate every control, especially in checkout, without a mouse? Can you see where the focus is at all times? Does a modal trap you? Then do one screen-reader run through a real purchase. Prioritize anything that blocks the purchase path, and re-run the scan after a theme change or a new app, since both routinely reintroduce the same failures.
Do these fixes actually help conversion?
They usually help, because most of them are plain usability fixes. Be careful with numbers, though: no published study isolates a conversion lift from accessibility remediation on ecommerce, and the ROI figures that circulate do not survive checking.
We would rather say that plainly than repeat the usual claims. The widely quoted Tesco “GBP 13 million” figure describes total spend by that site’s audience, not revenue created by accessibility. The Legal & General numbers come from a 2005 full-site redesign, so accessibility cannot be separated from the rebuild. The W3C’s own business case page concedes that direct ROI “is too difficult to measure” and publishes no conversion figure.
What holds up is mechanical. A shopper who cannot read the price, cannot tell which field wants the postcode, or cannot reach the pay button with a keyboard does not convert, and that needs no study to believe. The UK Click-Away Pound survey found 69% of participants with access needs will simply leave a problematic site, though it is a self-selecting 2019 survey with no disclosed sample size, so read it as directional. That is why we treat this list as conversion work as well as compliance work, and it connects directly to reducing cart and checkout abandonment.
One correction on the SEO half of this claim, because it is repeated everywhere: accessibility is not a Google ranking factor, and Google has said so directly. What is true is narrower. Google’s documentation says it uses alt text together with computer vision and page content to understand images, and recommends writing alt text to W3C guidelines, so alt text genuinely helps in Google Images. Descriptive link text helps Google understand what a page covers. Neither is a ranking boost for fixing contrast.
We ship the high-impact accessibility fixes first, where they help conversion too.
We run the scan, do the keyboard and screen-reader pass, and fix contrast, alt text, labels, and keyboard support in the code, prioritizing the checkout path, so your store is more accessible and easier for every shopper to buy from.
It’s the same measurement-first approach behind our conversion optimization work, where we rebuild the buying path and measure the result .
// we would rather show up in your reporting than in your inbox
Frequently asked questions
What accessibility fixes give the most return fastest?
Color contrast, image alt text, form labels, keyboard operability, descriptive link and button text, and a declared page language. WebAIM’s February 2026 report found these six categories account for 96% of all errors it detected, so clearing them resolves the majority quickly.
Can I find accessibility issues myself?
Largely, yes. A free automated checker catches contrast, alt-text, and labeling problems, and navigating your store with only the keyboard catches operability issues. Between them you will find most high-impact problems. Note that WebAIM is explicit that automated tools cannot detect every failure.
What do automated scans miss?
Operability and comprehension problems, and CAPTCHA in particular. WebAIM’s Screen Reader User Survey #10 ranked CAPTCHA the most problematic item users encounter, by a notable margin, and no scanner flags it. A keyboard pass and one screen-reader run through checkout catch what a scan cannot.
Do accessibility fixes really help conversion?
Usually, because they are mostly usability fixes. But no published study isolates a conversion lift from accessibility work on ecommerce, and the widely quoted ROI figures do not survive checking. The honest argument is mechanical: a shopper who cannot reach the pay button cannot buy.
Where should I start?
With the checkout path. An inaccessible or confusing checkout blocks sales outright, so fix contrast, labels, keyboard support, and any CAPTCHA there first, then work outward to product, collection, and home templates.
Sources
Accessibility failure rates: WebAIM Million 2026, automated analysis of one million home pages, conducted February 2026. 95.9% had detected WCAG 2 Level A/AA failures, averaging 56.1 errors per page (94.8% and 51 in 2025). Low-contrast text 83.9%, missing image alt text 53.1%, missing form input labels 51.0%, empty links 46.3%, empty buttons 30.6%, missing document language 13.5%; these six account for 96% of all errors detected. WebAIM states that not all conformance failures can be detected automatically and that absence of detected errors does not indicate a page is accessible. https://webaim.org/projects/million/
What scans miss: WebAIM Screen Reader User Survey #10, December 2023 to January 2024, 1,539 respondents. CAPTCHA was ranked the most problematic item encountered, by a notable margin, ahead of unexpected interactive behavior and unclear links or buttons. This survey does not measure purchase abandonment and we do not cite it for that. https://webaim.org/projects/screenreadersurvey10/
The standard: W3C, Web Content Accessibility Guidelines (WCAG) 2.2, W3C Recommendation 5 October 2023, revised 12 December 2024. Contrast ratios, non-text content, labels, and keyboard operability are all Level A or AA success criteria. https://www.w3.org/TR/WCAG22/
Abandonment: Click-Away Pound 2019, a UK survey of online shoppers with access needs: 69% say they will simply leave a problematic website, down from 71% in 2016. The report states that participants were entirely self-selecting and discloses no sample size, and its GBP 17.1 billion headline is an extrapolation rather than measured lost revenue. We cite the direction, not the magnitude. https://clickawaypound.com/downloads/cap19final0502.pdf
SEO: Google has stated that accessibility is not a direct ranking factor (John Mueller, Search Central office-hours, March 2022). Google’s image documentation says it uses alt text together with computer vision and page content to understand images, and recommends writing alt text to W3C guidelines. https://developers.google.com/search/docs/appearance/google-images
Conversion claims we did not use: the Tesco “GBP 13 million” figure describes total spend by that site’s audience rather than revenue created by accessibility, and the Legal & General figures come from a 2005 full-site redesign in which accessibility cannot be isolated. The W3C’s own business case page concedes that direct ROI is too difficult to measure. We found no published study isolating a conversion lift from accessibility remediation on ecommerce. https://www.w3.org/WAI/business-case/
Stated as Fracto’s position, not research: that this six-item list is the right order of work for most stores, and that checkout should be fixed first. That reflects client work and the concentration in WebAIM’s data, not a published ranking of fixes by return.