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A/B Testing

A controlled experiment that compares two versions of a marketing asset -- a landing page, email subject line, ad creative, or CTA button -- to determine which one drives better results.

What is A/B testing?

A/B testing, also called split testing, is the practice of comparing two versions of something to see which one performs better. You show Version A to one group of people and Version B to another, then measure which version produces more conversions, clicks, sign-ups, or whatever metric matters to your goal.

The power of A/B testing lies in replacing opinions with data. Instead of debating whether a green or blue button will get more clicks, you test both and let the numbers decide. This removes guesswork from marketing decisions and builds a culture of continuous, evidence-based improvement.

A/B testing applies to virtually every element of your marketing: email subject lines, landing page headlines, ad copy, CTA button text, form fields, images, pricing presentation, and page layouts. Each test produces a small improvement, but those improvements compound over time into significant performance gains.

Key components of A/B testing

Running meaningful tests requires discipline in both design and analysis.

Hypothesis Formation

Starting with a data-informed guess about what change will improve performance -- for example, a shorter form will increase completions by reducing friction.

Variable Isolation

Changing only one element at a time so you can attribute any difference in performance to that specific change rather than confounding factors.

Traffic Splitting

Randomly dividing your audience into equal groups so each variant gets a fair, unbiased sample of visitors to measure against.

Statistical Significance

Running tests long enough to collect sufficient data so the results reflect real differences in performance, not random chance.

Result Analysis

Interpreting test outcomes to determine a clear winner, understanding why one variant outperformed, and applying those learnings to future experiments.

How Mavek Approaches It

Testing at the speed of autonomous execution

Most teams know they should test more but rarely do. Setting up experiments takes time, waiting for statistical significance takes patience, and analyzing results takes expertise. The result is that most companies run a handful of tests per year instead of per week.

Mavek runs A/B tests continuously and automatically. It generates test variations for ad copy, email subject lines, landing page elements, and CTAs, then monitors results and implements winners without waiting for a human to review statistical significance charts.

The difference is speed and volume. Where a human team might run five tests per quarter, Mavek can run dozens simultaneously across every channel. Each winning variation becomes the new baseline, and the next round of tests begins immediately. This relentless cycle of testing and improvement is how small gains compound into transformative results.

Test everything, automatically

Mavek runs continuous A/B tests across every channel so your marketing keeps improving.

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