Statistical Significance Calculator - FREE AB Test Calculator

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class="ABTestTool-tool-header-container"> <h1 class="ABTestTool-tool-title">Statistical Significance Calculator – FREE AB Test Calculator</h1> <p class="ABTestTool-tool-subtitle">Find out which variation of your website will help you to reach your goal</p> </div> </div> <div class="main-content"> <div class="left-block"> <div class="form-wrapper"> <form class="ABTestTool-tool-form" id="form" action=""> <div id="ABTestTool-tool-Variant-block"> <div class="ABTestTool-tool-form-Variant"> <span class="ABTestTool-tool-form-nameblock" id="ABTestTool-tool-form-nameblock-A">Variant A</span> <div class="ABTestTool-input-block"> <label for="ABTestTool-tool-form-number-A">Number of visitors</label> <input min="0" type="number" name="ABTestTool-tool-form-number-A" id="ABTestTool-tool-form-number-A" value="100" > </div> <div class="ABTestTool-input-block"> <label for="ABTestTool-tool-form-overall-A">Overall conversions</label> <input min="0" type="number" name="ABTestTool-tool-form-overall-A" id="ABTestTool-tool-form-overall-A" value="7" > </div> </div> <div class="ABTestTool-tool-form-Variant"> <span class="ABTestTool-tool-form-nameblock" id="ABTestTool-tool-form-nameblock-B">Variant B</span> <div class="ABTestTool-input-block"> <label for="ABTestTool-tool-form-number-B">Number of visitors</label> <input min="0" type="number" name="ABTestTool-tool-form-number-B" id="ABTestTool-tool-form-number-B" value="100" > </div> <div class="ABTestTool-input-block"> <label for="ABTestTool-tool-form-overall-B">Overall conversions</label> <input min="0" type="number" name="ABTestTool-tool-form-overall-B" id="ABTestTool-tool-form-overall-B" value="15" > </div> </div> </div> <span id="ABTestTool-tool-form-addVariant" >+ Add more variants</span> <span class="error-message" id="error-message-empty"></span> <div class="ABTestTool-tool-block-submit"> <input type="submit" id="ABTestTool-tool-form-submit" value="Calculate"> </div> <div id="captcha" data-size="invisible"></div> </form> <div 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Share it: </span> <ul class="result-share-items"> <li class="result-share-item"> <a class="qr-share-icon qr-share-icon-fb clickoutLink" onclick="trackClickout('event', 'clickout', 'Webtools Page - Share Facebook link', 'A/B Test Calculator – Statistical Significance Calculator', this, true);" href="https://www.facebook.com/sharer/sharer.php?u=https://www.websiteplanet.com/webtools/abtest-calculator/" target="_blank"> <svg viewBox="0 0 320 512"><path d="M279.14 288l14.22-92.66h-88.91v-60.13c0-25.35 12.42-50.06 52.24-50.06h40.42V6.26S260.43 0 225.36 0c-73.22 0-121.08 44.38-121.08 124.72v70.62H22.89V288h81.39v224h100.17V288z"></path></svg> <span style="display:none" >1</span></a> </li> <li class="result-share-item"><a class="qr-share-icon qr-share-icon-tw clickoutLink" onclick="trackClickout('event', 'clickout', 'Webtools Page - Share Twitter link', 'A/B Test Calculator – Statistical Significance Calculator', this, true);" href="https://twitter.com/share?url=https://www.websiteplanet.com/webtools/abtest-calculator/" target="_blank"> <svg viewBox="0 0 512 512"><path fill="white" d="M389.2 48h70.6L305.6 224.2 487 464H345L233.7 318.6 106.5 464H35.8L200.7 275.5 26.8 48H172.4L272.9 180.9 389.2 48zM364.4 421.8h39.1L151.1 88h-42L364.4 421.8z"/></svg> <span style="display:none" >1</span></a></li> <li class="result-share-item"><a class="qr-share-icon qr-share-icon-ln clickoutLink" onclick="trackClickout('event', 'clickout', 'Webtools Page - Share Linkedin link', 'A/B Test Calculator – Statistical Significance Calculator', this, true);" href="https://www.linkedin.com/shareArticle?mini=true&url=https://www.websiteplanet.com/webtools/abtest-calculator/" target="_blank"> <svg viewBox="0 0 448 512"><path d="M100.28 448H7.4V148.9h92.88zM53.79 108.1C24.09 108.1 0 83.5 0 53.8a53.79 53.79 0 0 1 107.58 0c0 29.7-24.1 54.3-53.79 54.3zM447.9 448h-92.68V302.4c0-34.7-.7-79.2-48.29-79.2-48.29 0-55.69 37.7-55.69 76.7V448h-92.78V148.9h89.08v40.8h1.3c12.4-23.5 42.69-48.3 87.88-48.3 94 0 111.28 61.9 111.28 142.3V448z"></path></svg> <span style="display:none" >1</span></a></li> </ul> </div> </div> </div> <div id="ABTestTool-content-why"> <div id="ABTestTool-tool-why" > <h3 class="tools-faq-title">Run an A/B Test in 4 Steps</h3> <div class="ABTestTool-tools-content-why-head">An A/B test is an experiment where two versions (A and B) of a page are compared. The two pages being compared should be identical, except for one variation that might affect a user's behavior. <strong>The goal of the test is to determine which page performs better.</strong></div> <div class="ABTestTool-tool-why-block" > <div class="ABTestTool-tool-why-miniblock" > <div class="ABTestTool-tool-why-title"> <div class="img-ABTest-1"></div> <div class="title-ABTest">Step 1</div> </div> <div class="ABTestTool-tool-why-text">Enter the number of visitors and overall conversions for variant A</div> </div> <div class="ABTestTool-tool-why-miniblock" > <div class="ABTestTool-tool-why-title"> <div class="img-ABTest-2"></div> <div class="title-ABTest">Step 2</div> </div> <div class="ABTestTool-tool-why-text">Enter the number of visitors and overall conversions for variant B (and C and D if needed)</div> </div> <div class="ABTestTool-tool-why-miniblock" > <div class="ABTestTool-tool-why-title"> <div class="img-ABTest-3"></div> <div class="title-ABTest">Step 3</div> </div> <div class="ABTestTool-tool-why-text">Select Calculate to compare the variants</div> </div> <div class="ABTestTool-tool-why-miniblock" > <div class="ABTestTool-tool-why-title"> <div class="img-ABTest-4"></div> <div class="title-ABTest">Step 4</div> </div> <div class="ABTestTool-tool-why-text">In the results box you will see which variant is the winner</div> </div> </div> </div> </div> <div id="ABTestTool-content-what"> <div id="ABTestTool-tool-what" >  <div class="ABTestTool-tool-what-thecontent"> <h3 style="text-align: center;">How to Run an A/B test</h3> <p>To run an A/B test you need to compare two pages (page A, and page B) with a different single element on each. Page A is the original page – this is known as the control. Page B should be identical to page A, but with one small modification.<br /> The best elements to modify are those that drive conversions and call your visitors to action. You should <strong>only change ONE element on the page at a time in order to have a statistically significant test result</strong>. If you change multiple elements, you won’t know which change worked, and which didn’t.</p> <p>Common elements to change include:</p> <ul> <li>Headline</li> <li>Call to action button</li> <li>Ad copy</li> <li>Product copy</li> <li>Image</li> </ul> <p>Within all of these elements you could also consider changing:</p> <ul> <li>Color</li> <li>Font</li> <li>Design</li> </ul> <p><strong>The page that gives higher conversions is the winning variant.</strong> The more you optimize your page, the higher your conversion rate will be.</p> <p>Once your pages are ready, half of your traffic should divert to the control page (page A), and the other half should be routed to the modified page (page B).</p> <h3 style="text-align: center;">What is an A/B Confidence Score?</h3> <p>The confidence score is a way of measuring the reliability of an estimate. <strong>If the confidence score is high, it means that the results are statistically significant, and you can be confident that these results are a consequence of the changes you made</strong>, and are not just a result of random chance.</p> <div class="tableparent tableparent-odd"><div class="tablescroll"><table class="new-table" style="width: 100%;"> <tbody> <tr style="background: #e1f5e0;"> <td style="background: #e1f5e0;" width="70px">95-100%</td> <td>Your A/B test is statistically significant, congratulations! You should implement the winning variant.</td> </tr> <tr style="background: #fff2ab;"> <td style="background: #fff2ab;" width="70px">90-95%</td> <td>Your A/B test is unlikely to be statistically significant. You could cautiously implement the winning variant, but it would be safer to try another A/B test first.</td> </tr> <tr style="background: #ffe3e3;"> <td style="background: #ffe3e3;" width="70px"><90%</td> <td>Your A/B test is not statistically significant. Do not implement the winning variant.</td> </tr> </tbody> </table></div></div><input type="hidden" class="search_string_translate" value="Search table..."><input type="hidden" class="of_string_translate" value="of"> </div> </div> </div> <div class="faq-css-new"> <h2 class="tools-faq-title">Frequently Asked Questions</h2> <h3 class="shortcode-faq-question-inline">What does A/B testing stand for?</h3> <span class="shortcode-faq-answer-inline">In an A/B test you are testing two variants against each other – variant A and variant B. A is the original (also known as the control), and B is a duplication of A, but with one small modification. It’s also possible to test more variants (C, D, E…etc.) but for statistically significant results, we recommend testing A against B.</span> <h3 class="shortcode-faq-question-inline">How do you perform an A/B test?</h3> <span class="shortcode-faq-answer-inline">To run an A/B test you will need an original or control page (variant A). Once you are ready with variant A you will need to duplicate it, and then modify something small on the page to create variant B. This could be a small portion of text, a headline, a button, a call to action, or even the color or style of the font used. You will need to show these two variants to a similar sized audience for a period of no less than a week. From the data collected during the week, you will be able to determine which variant is the highest-converting, and therefore, the winning variant.</span> <h3 class="shortcode-faq-question-inline">How long should an A/B test run?</h3> <span class="shortcode-faq-answer-inline">You need to run an A/B test for as long as it takes to get statistically significant results. The number of user sessions is key. If a website page has 1 million visitors per day, the A/B test could show clear results in hours. A website page that receives 2 visitors per day, could take a year to show statistically significant results. User behavior tends to differ throughout the week, therefore we recommend running A/B tests for at least one full week.</span> <h3 class="shortcode-faq-question-inline">What is statistical significance?</h3> <span class="shortcode-faq-answer-inline">Statistical significance is the likelihood that the reason behind one variant being stronger than the other is caused by something other than chance. It means you can reliably assume that the winning variant is stronger because of the changes you made. You can use our statistical significance calculator at no hidden cost to plan out your A/B test.</span> </div> <div class="faq-anchor-link near-FTCfooter"><a href="#body" onclick="trackClickout('event', 'clickin', 'Anchor-abtest-calculator', 'webtools', this, false);"><p>Try our free A/B Test Calculator now!</p> </a></div> <div class="FTCfooter-b "> <div class="ftc-wrapper-footer "><div class="ftc-container"><div id="ftc-blockc" class="ftc-block">We rank vendors based on rigorous testing and research, but also take into account your feedback and our commercial agreements with providers. 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You need to collect more data.","Text_green_str":"You can be {0} confident that variant {1} will perform better than variant {2}","Text_green":"Variant {0}\u2019s conversion rate {1} was {2} higher than variant {3}\u2019s conversion rate {4}."};</script> <section class="new-post-row new-post-section-claps"> <div id="post-single-trid">1654793</div> <div id="post-single-id">1654793</div> <div class="new-post-container new-post-section-stars"> <div class="new-post-section-stars-desc">Like this tool? 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Statistical Significance Calculator - FREE AB Test Calculator