
Increase sales in your online store with CRO
Although advertising can bring in customers, it's like filling a bucket with holes in it. With CRO, you close the holes. A smart CRO strategy ensures that your advertising not only hits the mark, but that more people actually end up in your customer basket!
We have the expertise to help you:
- Increase your conversion rate
- Increase AOV
- Increase revenue
- Improve user experience
What is CRO?
Conversion rate optimization, often abbreviated as CRO, is about purposefully improving the proportion of website visitors who convert into paying customers or registered users. The goal is to increase revenue without increasing advertising spend or otherwise driving more traffic to the website.
What does the expert say?


Customers say

We love results
We have contributed to increased turnover of over
40M NOK for our customers

This is what you get in cooperation with us.
We have fine-tuned a CRO system that has been thoroughly tested – and it runs like clockwork!
Active partner
Thorough preparation
Tight collaboration
You are involved in the progress at all times, and together we make plans for the way forward.
Growth, put into system
Growth does not mean the same thing to everyone, we always manage by important KPIs such as CR and AOV.
Partners & Tools
Vwo - Visual Website Optimizer
Partner
Optimizely
Hotjar
Microsoft Clarity
Our success stories
Process
How does the experimentation take place?
The most important factors in an experimentation process are: one, that it is data-driven, and two, that we work closely with you as the customer.
Based on insights from quantitative and qualitative data, we create hypotheses for testing together. The hypotheses are prioritized, with selected tests going live as an A/B test or an A/B/C test. Experimentation is a continuous process where it is also possible to test re-designs and new features.
Step 1
Data basis
We collect quantitative and qualitative data (GA, Heatmaps, surveys, user testing, etc.) to find out what problems we need to solve for users and to increase the likelihood of A/B testing being successful.
Step 2
Hypotheses
Step 3
Test phase
Step 4
Evaluation
After we have conducted the test and evaluated the hypothesis, we will summarize the findings and identify which elements worked best. Based on these insights, we will provide you with concrete recommendations for further optimization or development.