A/B testing
Ecommerce Conversion Optimisation: RPU as Your Profit Driver. System, Not Gut Feeling
It means replacing “gut feeling” with measurable facts so you grow faster, step by step.
A/B testing
Does an A/B testing tool slow your shop down? With a modern setup, page speed is no reason to avoid A/B tests. What modern setups do differently and how to spot one.

“Won’t a testing tool like that slow the shop down?” The question came up again recently in a conversation with a Shopify merchant. The short answer: with a modern setup, page speed is no reason to avoid A/B tests.
In a modern setup the test script loads asynchronously alongside the page, weighs around 40 KB and never holds the page up. Only what a variant changes in the visible area gets hidden, and then for 300 milliseconds at most. And every variant has to prove before launch that it does not load noticeably slower than the control.
The script does not sit in the path the browser needs to first display the page. The page renders while the testing tool loads in parallel.
The script comes from a CDN and stays in the browser cache. From the second page view on, the visitor does not download it again.
Content is hidden only where a variant actually changes something in the visible area, and then for a fraction of a second. Everything else shows immediately.
Testing tools got their bad reputation in the days when the whole page was hidden until the test had loaded. Google’s Optimize, shut down in 2023, waited up to four seconds for this. The next section shows how it works today.
In its guidance on flicker-free testing in the browser, the Chrome team describes an approach without the old anti-flicker snippets: load the test script in the page head with the attribute blocking=“render”, switch the variant via CSS and cap execution time with a budget, for example under 100 milliseconds.
Where every millisecond counts, the server or CDN delivers the variant directly. Then there is no test script in the browser at all. Shopify takes this route with Rollouts, with its own limits, which we described in our article on Shopify Rollouts.
The test script comes from a CDN, loads asynchronously and weighs around 40 KB compressed. The program code stays in the browser cache for a week; only the test configuration is refreshed every few minutes. It does not block page rendering.
Every variant is measured against the control before launch: when does the largest element become visible, and does anything shift in the layout? If the variant is noticeably worse, it does not launch. We check page speed before the test, so nobody has to argue about it afterwards.
Page speed is one metric, revenue per visit is the other. With a clean setup you do not have to choose between them. The tests run, and the shop stays fast.
Sources
A/B testing
It means replacing “gut feeling” with measurable facts so you grow faster, step by step.
A/B testing
Ecommerce personalisation means tailoring content, product suggestions and offers to an individual visitor’s behaviour. Not to assumptions, not to demographic pigeonholes.
A/B testing
Google Analytics shows you what happens. Heatmaps show you how it happens.
In the Dropoff Analysis you see where your shop loses buyers. Afterwards you know where the first step pays off.