Blog Research
Research 12 min read Updated Dec 11, 2025

The ROI of accessibility: numbers from 200 Shopify stores.

We pulled six months of conversion data from merchants running Clevyre. The headline: stores that turned on contrast and text-scaling saw a 14% lift in checkout completion. Here's the full breakdown.

Illustration · Clevyre studio
Six months. Two hundred stores. One unambiguous number.

The headline

Over the last half year we have been quietly watching aggregate, anonymized conversion data flow through our merchant accounts. Two hundred stores, fourteen verticals, average order values from the price of a paperback to the price of a small refrigerator. The question on our minds was simple: does an accessibility widget actually move the commercial needle, or are we asking merchants to pay for a compliance vitamin?

The short version is that it does — but the mechanism is not the one most pitch decks lean on. The lift did not come from the aesthetics of contrast modes or the novelty of text-resizing. It came from a measurable slice of every store's traffic that had previously failed to reach checkout at all, and could now finish.

14%
average lift in checkout completion on stores using contrast + text-scaling, vs. the same stores' six-month prior baseline.

How we measured

Every install pings our analytics endpoint with three opt-in counters: widget_opens, tools_engaged, and a stitched checkout_complete event from the Shopify pixel. For each store we compared the trailing 90 days post-install against the 90 days before install — same seasonal window, same SKU mix.

Stores doing fewer than one hundred orders a month were dropped to suppress sample noise, and any store running unrelated checkout experiments during the window was also excluded. That left 214 merchants, 4.3M sessions, 612K checkouts in the analysis set.

A note on methodology

This is observational data from live stores, not a randomized trial. We've controlled for the obvious confounds — seasonality, AOV drift, SKU churn — but we cannot rule out that merchants who install accessibility widgets are also merchants who invest more in UX in general. Treat the number as directional.

What we found

The gain was not evenly spread. Stores at the top of the lift distribution shared two traits: dense, text-forward product pages (long copy, ingredient panels, technical specs) and visual variant pickers (colour, fabric, shade swatches). Put plainly, the stores where readability and colour perception are part of the actual buying decision.

The gain is concentrated in sessions that pause for ninety seconds or more on a product page — the moment most accessibility-impacted shoppers either bounce or open the widget.

The cohort that moved

On stores with text-heavy product pages, sessions that opened the widget converted at 2.3× the site average. That figure is not 2.3× of nothing — these are visitors who had already navigated deep enough into the funnel to find the widget. They were leaning in.

For the longest time we treated accessibility as a moral tax. Then we saw the contrast-mode users complete checkout at twice the site average and it became a marketing line. Karim Hassan, Director of Digital, Maker & Mortar

Which features moved it

Not every tool in the widget contributes equally. The table below shows per-feature impact, measured as the delta in checkout completion among sessions that turned each one on.

Feature Sessions enabling it Checkout lift Notes
Increase text size 38% +18.4% Most-used tool. Skewed toward beauty + supplements.
High contrast 22% +12.1% Strongest signal on dark themes.
Dyslexia-friendly font 9% +9.7% Small cohort, high engagement.
Reading guide 6% +7.3% Outsized on long-form storytelling pages.
Pause animations 11% +5.2% Underrated. Especially on hero carousels.
Text-to-speech 4% +3.1% Used most on recipe & ingredient pages.

By industry

Beauty, supplements, and direct-to-consumer food posted the strongest gains — categories where shoppers actually read the label. Apparel and home goods sat close to the cohort average. Electronics and consumer gadgets, somewhat against expectations, came in lowest; our working hypothesis is that their checkouts were already heavily tuned for users with high digital fluency.

An aside on Shopify Plus stores

The Plus subset (n=41) underperformed the average — +8.2% versus +14%. We suspect Plus merchants ship their own custom accessibility patches and that Clevyre is partly overlapping with existing in-house work. We are still digging into whether the marginal lift is statistically meaningful at that tier.

Caveats, honestly

Two caveats are worth flagging before this number ends up in a sales deck:

  1. Selection bias is real. Merchants who install a widget like ours are merchants who already care about accessibility. Some of the lift may reflect a broader UX posture rather than the widget itself.
  2. Six months is not a year. We do not yet know whether the lift persists, fades, or compounds. A follow-up with a full annual cycle will land in June 2026.

Even so, at the conservative end of our confidence interval (+9.2%) the back-of-envelope economics are absurd. On a $19 plan and a store doing $80K a month, a 9% checkout lift pays for the widget several hundred times over.

// quick napkin math — plug in your own numbers
const monthlyRevenue = 80_000;
const liftPercent   = 0.092;            // 9.2% conservative
const widgetCost    = 19;
const incremental   = monthlyRevenue * liftPercent;
const roi           = incremental / widgetCost;

console.log(`ROI: ${roi.toFixed(0)}×`); // ROI: 387×

What to do Monday

If you run a Shopify store and have not yet installed an accessibility widget, here is the order of operations our data supports:

  • Turn on text size and high contrast first — they account for sixty percent of the lift on their own.
  • Audit your product pages for animation-heavy hero blocks; the pause animations tool only earns its keep when there is something to pause.
  • If you are on Plus, run Clevyre alongside your existing patches for thirty days before deciding — the overlap is real and worth measuring.
  • Do not skip reading guide on long-form pages. The cohort is small but it converts.

We will keep watching the numbers. If you would like the anonymized raw dataset (opt-in stores only), drop us a note — we share it freely with researchers.

Written by

Rohan Acharya

Rohan co-founded Clevyre and leads research. Previously at Shopify and Squarespace. Writes about ecommerce accessibility every other Tuesday.

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