A/B Testing

Method 21 designs, runs, and analyzes A/B tests for clients who want to improve conversion rates through evidence rather than guesswork. Every test starts with a hypothesis grounded in user research and analytics data. We run tests to statistical significance before making recommendations, so you can implement changes with confidence.

We begin with conversion research — analytics review, heatmap analysis, session recordings, and user behavior data — to identify where visitors drop off and why. That research informs specific, testable hypotheses. We prioritize tests by potential impact, design the variations, configure the testing platform, run the experiment to completion, and analyze results across audience segments. Winning variations get implemented; insights from losses inform the next round of tests.

Headlines and value propositions, page layouts, form design, calls to action, pricing presentation, trust signals, checkout flows, and content structure. The specifics depend on where the research points us. We focus on changes that move meaningful business metrics, tested on pages with enough traffic to reach valid conclusions in a reasonable timeframe.