Conversion Rate Optimisation (CRO)
Make website decisions with data, not opinions.
What's included
The essentials
In an A/B test, half the visitors see the current page and the other half see a variation. At the end, the data says which converts better, instead of the decision depending on whoever argues loudest.
We only test what has a clear hypothesis behind it, and only decide when there's enough data.
What we do
01
What to test, why and what result we expect.
02
Copy, layouts and elements changed for each test.
03
Tests with a duration and sample suited to your traffic.
04
What won, what we learnt and what goes live on the site.
How we work
1
What changes, why and which metric should move.
2
The variation, with copy and design.
3
Until there's enough sample and duration.
4
Roll out the winner and document what we learnt.
Platforms and tools
Every month, compared with the previous period.
Case study · Skincare, e-commerce (Norway)
A Shopify store built from scratch, with website, SEO, social media, ads and measurement working together for a Norwegian skincare brand.
+205%
orders
Black Week 2025 vs 1–22 Nov 2025
More in Conversion Rate Optimisation (CRO)
Where visitors drop off, page by page.
How people use the site, to understand why they don't buy.
Campaign pages built for a single action: buy, enquire or sign up.
Less friction between viewing a product and completing the purchase.
FAQ
It depends on what you want to measure. With little traffic, we prioritise bigger changes or other ways of validating.
We set tests up to have minimal impact on speed.
Usually a few weeks, to cover full buying cycles. It depends on traffic.
That's an answer too: the change makes no difference and we can move on to the next hypothesis.
Tell us the context and we'll come back with the next steps.