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AB Test Calculator

Use this A/B testing calculator to find out if your test results are statistically significant.

In the boxes below enter the results from your experiment. For each variation you tested, input the total number of tries (emails sent, impressions seen), and the number of goals it completed (generally clicks, but could also be other conversions).

The calculator will tell you the confidence level your data produces for the winning variation. Typically you would be looking for a value above 95% or 98%.

Variation #1 Tries Goals
Variation #2 Tries Goals

A B Testing for Marketing OptimizationA/B testing your landing pages can help you get up to 40% more leads for your business. Along with the benefit of split testing your calls-to-action and emails, you'll get a huge competitive advantage.

Learn how to get more engagement your traffic with this free guide, which will walk you through the basics of effective A/B testing and help you get started.

In this guide, you'll learn:

  • What A/B testing is an why it matters in marketing
  • 10 guidelines for effective A/B testing
  • What variables you should test
  • Real-life A/B testing examples and results

Download the free ebook and get started today!