Conversion Rate Optimization: Testing Assumptions Against User Behavior

Conversion rate optimization means getting more people to complete a desired action. Students think this means making buttons bigger and changing colors. You run one test, see a small lift, declare victory.

Experienced optimizers start by watching session recordings to find where people hesitate. Andriy Bondarenko runs tests for an online furniture store. He noticed people scrolled past the add to cart button, then scrolled back up, then left. They wanted information that appeared below the button.

Friction shows up in unexpected places

A beginner tests button color. Someone with testing experience asks why people reach the button but do not click it. They find that a confusing return policy or missing size information creates doubt.

One clothing retailer saw cart abandonment spike on mobile. Heat maps showed people tapped the checkout button multiple times. The button worked, but a loading spinner never appeared, so users thought it was broken. Adding a spinner increased mobile conversions by 23 percent without changing anything else.

The work is not guessing what might perform better. It is identifying where the current experience breaks down, forming a hypothesis about why, then testing a fix.