Conversion Is About Understanding People

After working on 200+ A/B experiments across 11 markets at audibene, I’ve learned that improving conversion starts with understanding why people make decisions — and what holds them back.

The Problem Isn’t Always the Design

When a landing page underperforms, the first instinct is often to change the headline, redesign the form, or make the call-to-action more prominent. Sometimes, these changes work. But they don’t necessarily address the underlying problem.

A visitor might leave because the offer isn’t clear enough, the company hasn’t earned their trust, or the next step feels too risky. In these situations, improving the interface alone won’t solve the problem. I’ve learned to look beyond what users do and investigate why they do it.

Start with a Question, Not a Solution

My approach to conversion rate optimization begins with understanding the problem before proposing a solution.

Where are people dropping off? What information might they be missing? What concerns could prevent them from moving forward?

Data helps identify patterns, while customer feedback, behavioral insights, and qualitative research help us develop possible explanations. From there, I turn those explanations into hypotheses that can be tested.

The goal isn’t to run more experiments for the sake of experimentation. It’s to learn something meaningful that helps us make better decisions.

Context Matters More Than Best Practices

Working across 11 international markets at audibene taught me that there’s no universal conversion playbook. A message that resonates with one audience may not work for another. A trust signal that reassures one group may be irrelevant to someone else.

Behavioral principles such as social proof, authority, and commitment can help us understand how people make decisions. But they should be treated as starting points for hypotheses, not guaranteed solutions.

A good experiment doesn’t prove that a best practice is always right. It tells us whether an idea works in a particular context. That’s why I believe testing assumptions is more valuable than blindly following industry conventions.

Measure the Business Outcome

There’s another distinction I consider important: a higher conversion rate doesn’t automatically mean better business performance.

Generating more leads is meaningless if those leads are unlikely to become customers. Reducing friction can improve form completion, but it may also attract people who aren’t a good fit for the offer. That’s why conversion should be evaluated alongside lead quality, customer acquisition costs, and downstream business outcomes.

The objective isn’t simply to get more people to take an action. It’s to help the right people take the next step while creating value for the business.

Better Questions Lead to Better Results

After years of working in CRO and broader commercial roles, I’ve become less interested in finding universal solutions and more interested in understanding the problems behind the numbers.

Not every problem requires an A/B test. Not every improvement needs a redesign. Sometimes, the most valuable change is simply making an offer clearer or helping customers feel more confident in their decisions. For me, effective conversion optimization follows a simple principle: understand the behavior, question the assumptions, test the ideas, and learn from the results.

The goal isn’t to make people click more. It’s to understand what helps them move forward — and remove the barriers that shouldn’t be there in the first place.