Learn

/

Insights

Insights

7 min

read

How to prioritise UXUI tests once your offer and messaging are solid

How to prioritise UXUI tests once your offer and messaging are solid

Start with the buy area, then work outward. The order we follow when testing UX and UI across Shopify brands, and the reasoning behind it.

Jordan Hill, Founder & CEO

This article is part of the That Works Hierarchy of CRO series: Top (3/3). It covers UX and UI, the third layer of the framework. The full series: Base (1/3) The Anatomy of The Perfect Offer, Middle (2/3) Messaging, Top (3/3) UX & UI.

What is UX and UI optimisation for ecommerce?

UX and UI optimisation is the process of testing layout, navigation, page structure and visual design on a store to remove friction and lift conversion. It is the Top layer of the That Works Hierarchy of CRO. It performs best once the offer and the messaging beneath it are solid, because design changes amplify what the page already says and sells.

At That Works Agency, we use the 5-Step UX Polish Process to decide which UX and UI changes to test, in what order, and when to stop. It sits at the Top layer of the That Works Hierarchy of CRO.

Why UX and UI tests rarely move the business on their own

Brands start at the Top because it is the easiest layer to see. Picking holes in a site’s look and feel takes no deep customer insight. UX changes are also visible, so a team can point at a new layout and say the CRO work is underway. Offer and messaging changes are harder to spot on the surface, yet their impact on the P&L is far larger.

A well-run UX test can lift conversion by 5%, sometimes 10%. A new offer structure or messaging strategy can lift it by 40%. We have worked with brands doing eight figures a year on Shopify themes that would make a designer wince, because their offer and messaging were doing the heavy lifting. UX earns its place after those levers have been pulled, as the layer that squeezes out the remaining gains.

UX tests also post the highest win rate of any test type, which makes them look more valuable than they are. Anyone can spot a UX mistake and name the fix, and guides everywhere show what has worked for somebody else, so most of these tests win. Offer tests, new funnels and repositioning win less often because they rely on psychology, instinct and economics rather than a playbook. Each one that lands moves the P&L far more. UX, CPA and P&L are not directly linked, while a new offer or funnel can be attributed fully to CPA and therefore to the P&L.

Quick answer: the 5-Step UX Polish Process

  1. Confirm the foundations - check that the offer and the messaging have been tested before any UX work starts.

  2. Find where visitors drop off - use funnel analytics to locate the page and step where the most buyers leave.

  3. Audit the buy area - review layout, add-to-cart placement and how product images load on your highest-traffic product pages.

  4. Test one change at a time - run each UX change in isolation so a result can be traced to its cause.

  5. Feed results back down the Hierarchy - use each outcome to sharpen the offer and messaging layers.

This article is part of the That Works Hierarchy of CRO series: Top (3/3). It covers UX and UI, the third layer of the framework. The full series: Base (1/3) The Anatomy of The Perfect Offer, Middle (2/3) Messaging, Top (3/3) UX & UI.

What is UX and UI optimisation for ecommerce?

UX and UI optimisation is the process of testing layout, navigation, page structure and visual design on a store to remove friction and lift conversion. It is the Top layer of the That Works Hierarchy of CRO. It performs best once the offer and the messaging beneath it are solid, because design changes amplify what the page already says and sells.

At That Works Agency, we use the 5-Step UX Polish Process to decide which UX and UI changes to test, in what order, and when to stop. It sits at the Top layer of the That Works Hierarchy of CRO.

Why UX and UI tests rarely move the business on their own

Brands start at the Top because it is the easiest layer to see. Picking holes in a site’s look and feel takes no deep customer insight. UX changes are also visible, so a team can point at a new layout and say the CRO work is underway. Offer and messaging changes are harder to spot on the surface, yet their impact on the P&L is far larger.

A well-run UX test can lift conversion by 5%, sometimes 10%. A new offer structure or messaging strategy can lift it by 40%. We have worked with brands doing eight figures a year on Shopify themes that would make a designer wince, because their offer and messaging were doing the heavy lifting. UX earns its place after those levers have been pulled, as the layer that squeezes out the remaining gains.

UX tests also post the highest win rate of any test type, which makes them look more valuable than they are. Anyone can spot a UX mistake and name the fix, and guides everywhere show what has worked for somebody else, so most of these tests win. Offer tests, new funnels and repositioning win less often because they rely on psychology, instinct and economics rather than a playbook. Each one that lands moves the P&L far more. UX, CPA and P&L are not directly linked, while a new offer or funnel can be attributed fully to CPA and therefore to the P&L.

Quick answer: the 5-Step UX Polish Process

  1. Confirm the foundations - check that the offer and the messaging have been tested before any UX work starts.

  2. Find where visitors drop off - use funnel analytics to locate the page and step where the most buyers leave.

  3. Audit the buy area - review layout, add-to-cart placement and how product images load on your highest-traffic product pages.

  4. Test one change at a time - run each UX change in isolation so a result can be traced to its cause.

  5. Feed results back down the Hierarchy - use each outcome to sharpen the offer and messaging layers.

Step 1: Confirm the foundations

Before a single layout test goes live, check the two layers beneath. The offer should have been tested through pricing, bundles, guarantees or subscription structure. The messaging should be grounded in real customer language and validated on headlines.

A strong offer can compensate for mediocre messaging and average UX. Strong messaging can compensate for imperfect UX. Great UX built on a weak offer and generic messaging converts no one. If either lower layer is untested, that is where the next test belongs.

What to check

  • Offer: the current structure has been tested, and the last test result is on file.

  • Messaging: headlines and page copy match the language customers use in reviews and surveys.

  • Traffic: the pages you plan to test receive enough visits to reach a clear result.

Step 2: Find where visitors drop off

UX work needs a target. Use your analytics to follow the path from landing page to product page to cart to checkout, and note the step where the largest share of buyers leave.

Where to look

  • Landing and product pages: where first impressions form and most traffic arrives.

  • Cart: where intent is high and friction costs the most.

  • Checkout: where a small usability issue can cost a completed order.

Split each step by traffic source before ranking it. Cold paid visitors and returning visitors react differently to the same page, and the split shows whether the problem sits in the page or in the match between the ad and the page.

Rank the steps by traffic and by drop-off together. A step with high traffic and a visible drop-off goes to the top of the list. A step with low traffic can wait, however easy the fix looks.

Example: A store splits its product page drop-off by traffic source. Email and returning visitors convert well on the page, while cold paid visitors leave within seconds. The layout is the same for both groups, so a redesign would not fix the gap. The cause sits below UX, in the match between the ad and the first screen, so that gets tested first. If every segment left at the same step, the problem would be the page itself, and a UX test would go to the top of the list.

Step 3: Audit the buy area

The buy area is the part of the product page where the purchase decision gets made. It holds the highest concentration of UX decisions that affect revenue.

What to audit

  • Layout: the order of price, benefits, variant selection and reviews, and whether a buyer can find each without scrolling past something irrelevant.

  • Add-to-cart placement: whether the button is visible, clear and reachable on mobile as well as desktop.

  • Product images: how they load, how quickly the first image appears, and whether the gallery shows the product in use.

  • Variant and bundle selection: whether the choices from your offer are easy to see and change.

List each issue with the page, the device and a short note on why it adds friction. The list becomes your test backlog.

Step 4: Test one change at a time

Run each UX change in isolation. When layout, button placement and copy change together, a result cannot be traced to its cause, and the lesson is lost.

How to run a clean UX test

  • Pick the highest-traffic page from your Step 2 ranking, so the test reaches a clear result sooner.

  • Change one element from your Step 3 backlog.

  • Set the success metric before launch, for example add-to-cart rate or conversion rate on that page.

  • Record the result either way. A loss protects development budget and shows where the friction is not.

Expect gains in the range of 5%, sometimes 10%. These are worth having and compound over time. Treat the win rate with care. UX tests win often because the fixes are common sense, so a high hit rate says little about business impact. A run of UX wins can stack up for months and still move the P&L less than one good offer test, so judge the programme by the size of each gain.

Step 5: Feed results back down the Hierarchy

Every UX result carries information about the layers beneath. A layout test that wins because the benefits moved higher up the page points to a messaging priority. A test that wins because a bundle became easier to select points to the offer.

Pass each result back to the offer and messaging work, and then return to the Top layer with a sharper backlog. The Hierarchy runs in one direction when you build, and information flows both ways once the programme is live.

Common mistakes at the Top layer

  • Testing visible changes because they are easy. Some agencies run only small UX tests so they can report a high win rate. Once the design fixes run out, there is nothing left to test, and brands tend to leave even when the hit rate is high.

  • Bundling changes. Several edits at once leave no readable result.

  • Treating a redesign as a test. A full redesign swaps many variables at once, so the result cannot be attributed to any of them.

Step 1: Confirm the foundations

Before a single layout test goes live, check the two layers beneath. The offer should have been tested through pricing, bundles, guarantees or subscription structure. The messaging should be grounded in real customer language and validated on headlines.

A strong offer can compensate for mediocre messaging and average UX. Strong messaging can compensate for imperfect UX. Great UX built on a weak offer and generic messaging converts no one. If either lower layer is untested, that is where the next test belongs.

What to check

  • Offer: the current structure has been tested, and the last test result is on file.

  • Messaging: headlines and page copy match the language customers use in reviews and surveys.

  • Traffic: the pages you plan to test receive enough visits to reach a clear result.

Step 2: Find where visitors drop off

UX work needs a target. Use your analytics to follow the path from landing page to product page to cart to checkout, and note the step where the largest share of buyers leave.

Where to look

  • Landing and product pages: where first impressions form and most traffic arrives.

  • Cart: where intent is high and friction costs the most.

  • Checkout: where a small usability issue can cost a completed order.

Split each step by traffic source before ranking it. Cold paid visitors and returning visitors react differently to the same page, and the split shows whether the problem sits in the page or in the match between the ad and the page.

Rank the steps by traffic and by drop-off together. A step with high traffic and a visible drop-off goes to the top of the list. A step with low traffic can wait, however easy the fix looks.

Example: A store splits its product page drop-off by traffic source. Email and returning visitors convert well on the page, while cold paid visitors leave within seconds. The layout is the same for both groups, so a redesign would not fix the gap. The cause sits below UX, in the match between the ad and the first screen, so that gets tested first. If every segment left at the same step, the problem would be the page itself, and a UX test would go to the top of the list.

Step 3: Audit the buy area

The buy area is the part of the product page where the purchase decision gets made. It holds the highest concentration of UX decisions that affect revenue.

What to audit

  • Layout: the order of price, benefits, variant selection and reviews, and whether a buyer can find each without scrolling past something irrelevant.

  • Add-to-cart placement: whether the button is visible, clear and reachable on mobile as well as desktop.

  • Product images: how they load, how quickly the first image appears, and whether the gallery shows the product in use.

  • Variant and bundle selection: whether the choices from your offer are easy to see and change.

List each issue with the page, the device and a short note on why it adds friction. The list becomes your test backlog.

Step 4: Test one change at a time

Run each UX change in isolation. When layout, button placement and copy change together, a result cannot be traced to its cause, and the lesson is lost.

How to run a clean UX test

  • Pick the highest-traffic page from your Step 2 ranking, so the test reaches a clear result sooner.

  • Change one element from your Step 3 backlog.

  • Set the success metric before launch, for example add-to-cart rate or conversion rate on that page.

  • Record the result either way. A loss protects development budget and shows where the friction is not.

Expect gains in the range of 5%, sometimes 10%. These are worth having and compound over time. Treat the win rate with care. UX tests win often because the fixes are common sense, so a high hit rate says little about business impact. A run of UX wins can stack up for months and still move the P&L less than one good offer test, so judge the programme by the size of each gain.

Step 5: Feed results back down the Hierarchy

Every UX result carries information about the layers beneath. A layout test that wins because the benefits moved higher up the page points to a messaging priority. A test that wins because a bundle became easier to select points to the offer.

Pass each result back to the offer and messaging work, and then return to the Top layer with a sharper backlog. The Hierarchy runs in one direction when you build, and information flows both ways once the programme is live.

Common mistakes at the Top layer

  • Testing visible changes because they are easy. Some agencies run only small UX tests so they can report a high win rate. Once the design fixes run out, there is nothing left to test, and brands tend to leave even when the hit rate is high.

  • Bundling changes. Several edits at once leave no readable result.

  • Treating a redesign as a test. A full redesign swaps many variables at once, so the result cannot be attributed to any of them.

The bottom line

UX and UI are the polish. They matter, and they work best on a base of a tested offer and messaging that speaks in your customers’ language. Use the 5-Step UX Polish Process to rank where friction costs you most, test one change at a time and pass every result back down the Hierarchy.

Go deeper into the full series:

The bottom line

UX and UI are the polish. They matter, and they work best on a base of a tested offer and messaging that speaks in your customers’ language. Use the 5-Step UX Polish Process to rank where friction costs you most, test one change at a time and pass every result back down the Hierarchy.

Go deeper into the full series:

Frequently asked questions

How much can UX and UI changes lift conversion?

Should I start with UX if my site looks dated?

When is UX optimisation the right move?

How many UX changes should I test at once?

Is a high test win rate a good sign for a CRO programme?

How does UX and UI optimisation connect to the That Works Hierarchy of CRO?