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Turn clicks into customers. More sales and enquiries from the traffic you already have.

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Every visitor arrives wanting something. Our job is to find where the site doesn’t give it to them, and change that.

We use GA4 to see how people arrive and what they do, page by page and on each device. Customer reviews tell us what buyers care about. That’s the data analysis.

Then we watch recordings of real visits in Microsoft Clarity, and go through the site ourselves as a customer would. That’s the UX audit. The data shows where people drop out. The UX shows why.

Everything we find becomes a hypothesis. Showing delivery dates on product pages should increase add to basket, for instance, because recordings show people leaving those pages to go and look for delivery information. We rank each one by what it’s likely to be worth and how hard it is to build.

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Half a percent is significant

AI Overviews answer more questions now before anyone reaches a website. Most sites are getting fewer visits than they were a year ago, and the ones that still arrive are harder won and more expensive to buy. That makes every remaining visit worth more than it used to be.

On a site taking £80,000 a month, moving conversion from 2% to 2.5% adds £240,000 a year, on the same traffic and the same spend. That half a percent is what CRO goes after.

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Fixes and tests

Every hypothesis goes one of two ways.

Anything plainly broken, like a basket button that doesn’t work on mobile, goes on a fix list and gets fixed. No test needed.

Everything else is a judgement call, so we test it. Two versions run at the same time, so a sale or the season affects them equally and any difference comes from the change itself. You get proof it worked and a figure for what it added.

Winners go live for everyone. The ones that would have cost you money never do. Both shape the next round.

Conversion rate optimisation, or CRO, is getting more of a website’s existing visitors to buy or enquire. SEO and PPC bring people to the site. CRO makes the site better at turning them into customers. The work is finding where visitors don’t get what they came for, and changing it.

Two things. A data audit, where we use GA4 to see how people arrive and what they do, page by page and on each device. And a UX audit, where we watch recordings of real visits in Microsoft Clarity and go through the site ourselves as a customer would. The data shows where people drop out. The UX shows why.

Most run for two to six weeks, always in full weeks so weekday and weekend behaviour both count. The length depends on how much traffic the page gets and how big a difference we’re looking for. We don’t stop a test early because it looks like it’s winning, as early results often swing back.

It comes off and the current version stays. A losing test still tells us something about your customers, and it has stopped a change that would have cost you money going live for everyone. Every result goes into a test log, win or lose, and that shapes the next round.

The first fixes usually ship within a few weeks, because anything plainly broken goes straight on a fix list without needing a test. Tested changes take longer, since a test has to run to significance before we act on it. The compounding comes later, as each round informs the next.

They answer different halves of the same question. The data shows where visitors drop out, page by page and on each device. The UX work shows why, by watching how people behave and going through the site as a customer would. A number on its own tells you a page is losing people without telling you what to change. A UX opinion on its own is a point of view. Put together, they give you something worth testing.

Because every visitor arrives wanting something, and anything in the way costs you a sale. A delivery cost that only appears at checkout. A form asking for more than it needs. A filter that returns nothing. None of it looks like a problem in the design, and all of it shows up in the numbers.