Conversion Optimization

Conversion Optimization: A/B Testing

Internal opinion is a poor substitute for how actual visitors behave, and a change that feels obviously better in a conference room can quietly underperform the version it replaced.

Challenges

Conversion Optimization: A/B Testing

01

What you are commissioning

A/B testing splits traffic between two versions of a page, ad, or email to measure which one performs better against a defined goal, replacing internal opinion with real data. We set up tests with proper statistical rigor, a solid sample size, and one variable at a time, so you can trust the results and act on them.

Companies we’ve worked with

A few familiar faces

Our process

From the first conversation to delivery.

01

Understand

We identify the specific element and hypothesis that deserves testing, so the test answers a real question.

02

Create

We set up a properly isolated test with adequate sample size, so the result can be trusted.

03

Deliver

We analyze results and implement the winning version, so the page keeps improving on evidence, not guesswork.

FAQ

Before we get started.

Which elements should we A/B test first?

Usually headlines, primary calls to action, and offer framing, the elements most likely to move the needle fastest.

How do you avoid false conclusions from a test?

We run tests to statistical significance and isolate one variable at a time.