Conversion optimisation requires data, not aesthetic changes
We find that most businesses waste budget on minor design tweaks when their core problem is a lack of clarity or trust.

Many businesses attempt to increase revenue by chasing more traffic, but they ignore the visitors they already have. In this article, Balkaris argues that growth comes from identifying exactly where people hesitate or abandon a process. Instead of changing button colours, we focus on removing friction from the specific decisions that matter most.
Where it holds up
Optimising a conversion rate is not a universal fix. It requires a specific set of circumstances to be effective. If your website lacks sufficient traffic, an A/B test will fail to produce a statistically significant result. In these cases, we use structured validation instead of live testing. The method depends entirely on your visitor numbers.
- You have enough visitors to measure changes reliably or you accept qualitative validation.
- The primary goal is a specific action, such as a form submission or a purchase.
- You can access your analytics and website backend to implement changes.
- The friction is caused by clarity or effort rather than a lack of product interest.
Where it does not
Conversion rate optimisation is often oversold as a magic solution for a broken business model. If your product does not solve a real problem or your pricing is fundamentally wrong, no amount of design tweaking will fix your revenue. We do not attempt to optimise a journey that leads to a dead end. We also avoid the trap of making minor aesthetic changes for the sake of movement. Changing a button colour is rarely the solution to a high abandonment rate. Real improvements require looking at the offer, the evidence provided, and the actual effort a user must exert to complete a task. If the friction is caused by a lack of trust or a confusing value proposition, a new layout will not help. We focus on the specific decisions that cause people to leave.
What we would do
Our approach starts by identifying the specific friction points that prevent a user from completing an action. We do not guess which elements to change. We analyse your current data and qualitative feedback to find where people hesitate or abandon an enquiry. Once we identify these points, we prioritise changes based on the potential impact on your revenue versus the technical effort required to implement them. This ensures we do not spend time on minor tweaks that do not move the needle.
- Journey reviewWe map the current path a user takes to understand how success is measured and where drop-offs occur.
- Friction assessmentWe use data to pinpoint exactly where users get confused or encounter unnecessary hurdles.
- Prioritised redesignWe develop specific changes to your copy, layout, and forms based on identified evidence.
- Structured validationWe confirm the effectiveness of these changes through A/B testing or a direct before-and-after comparison.
Most teams spend their sprints redesigning buttons or buying more ads. Successful companies do the opposite. They map every user click to a specific decision point and spend their entire development budget removing the obstacles found there.
Key takeaways
- A/B testing is ineffective without sufficient traffic volumes.
- Design changes cannot fix a broken product or incorrect pricing.
- Prioritising friction removal is more efficient than a total website redesign.
Frequently asked
How do we know if we have enough traffic for an A/B test?
If your visitor numbers are too low to reach statistical significance, we use qualitative validation instead of live testing.
Can you fix a website that has a high bounce rate?
It depends on why people leave. If they leave because the product is wrong, design changes will not help.
What is the difference between a redesign and optimisation?
A redesign changes every variable at once, which makes it impossible to isolate what actually improved your results.