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<li class="meta-data">Updated</li> <li class="meta-data"><time datetime="2024-04-11T10:56:35Z" title="2024-04-11T10:56:35Z" data-datetime="relative">April 11, 2024 10:56</time></li> </ul> </div> </div> <div class="article-social-media"> <span>Share: </span> <div class="article-share"> <ul class="share"> <li><a href="https://www.facebook.com/share.php?title=Interpreting+an+A%2FB+Test+Report&u=https%3A%2F%2Fhelp.vwo.com%2Fhc%2Fen-us%2Farticles%2F360035731533-Interpreting-an-A-B-Test-Report" class="share-facebook">Facebook</a></li> <li><a href="https://twitter.com/share?lang=en&text=Interpreting+an+A%2FB+Test+Report&url=https%3A%2F%2Fhelp.vwo.com%2Fhc%2Fen-us%2Farticles%2F360035731533-Interpreting-an-A-B-Test-Report" class="share-twitter">Twitter</a></li> <li><a href="https://www.linkedin.com/shareArticle?mini=true&source=VWO&title=Interpreting+an+A%2FB+Test+Report&url=https%3A%2F%2Fhelp.vwo.com%2Fhc%2Fen-us%2Farticles%2F360035731533-Interpreting-an-A-B-Test-Report" 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2.12-.428 3.174-.624 2.222-.412 4.447-.899 6.689-1.21.208-.03.592.017.603.284.012.268-.453.426-.643.47-1.933.45-3.907.75-5.861 1.114-.95.175-1.896.35-2.844.528-.782.146-1.599.286-2.096.966l.01-.311a84.853 84.853 0 0 0 4.046 3.812c.256.227-.272.524-.427.579-.299.109-.726.166-.987-.062l.01-.005Z"/></g><defs><clipPath id="a"><path fill="#fff" d="m12.477 34.279 20.425-10.53L20.73.14.305 10.67z"/></clipPath></defs></svg> close this to read article </div> </div> <table style="border-collapse: collapse; width: 100%; background-color: #ededed;"> <tbody> <tr> <td style="width: 100%;"> <p><span>In this article, you’ll learn:</span></p> <ul> <li><span>Overview of A/B Test Report</span></li> <li><a href="#h_01GJN6PCWK02K0MRG1AFV9CE41" target="_self"><span>Viewing Report for a Date Range</span></a></li> <li><a href="#h_01GJN6RQFFC8BXMVRPSAMQAHCN" target="_self"><span>Viewing Report by Visitor Segments</span></a></li> <li><a href="#h_01GJN6RYBE317T1D8E1PQNMAJ2" target="_self"><span>Warnings and Notifications</span></a></li> <li><a href="#h_01GJN6S7C7S1MVQ62P5E5P44QS" target="_self"><span>Customizing the Report View</span></a></li> <li><a href="#h_01GJN6SCCPPYS3WT7D27BHKPTB" target="_self"><span>Understanding the Reports Table</span></a></li> <li><a href="#h_01GJN6SKGPY1MPCWK8GPCKN409" target="_self"><span>Understanding the Graph View</span></a></li> </ul> </td> </tr> </tbody> </table> <p class="callout"><strong>NOTE:</strong> We've implemented a fresh experience for reports improved with statistical enhancements. It is being rolled out in phases. If you're experiencing the latest version, refer to <a href="https://help.vwo.com/hc/en-us/articles/31077060277913-Interpreting-Reports-in-VWO-Latest-Release" target="_blank" rel="noopener noreferrer">this article</a>.</p> <p><span style="font-weight: 400;">Deriving meaningful insights from your test campaigns and applying them to improve your website conversion rate is your test campaigns' ultimate objective. The test campaign reports help you validate the hypothesis you test and derive a better understanding of your website's visitor behavior.</span> </p> <p><span style="font-weight: 400;">To access your test report, select the campaign for which you want to view the report and go to the <span class="wysiwyg-color-cyan110"><strong>REPORT</strong></span> tab.</span></p> <p><img src="/hc/article_attachments/900006613443" alt="1.png" /></p> <p><span style="font-weight: 400;">To view the report corresponding to a goal, select one from the <strong>GOALS</strong> panel on the right. Additionally, you can also compare the data of different goals using the <strong>COMPARE GOALS</strong> option.</span></p> <p><img src="/hc/article_attachments/900006613463" alt="2.png" /></p> <div class="callout"><span style="font-weight: 400;"><strong>NOTE:</strong> While using the Date Range Filter, Segments Filter, or Changing the Base Variation, a loader appears on the page notifying you that the changes are being applied based on your selection. You are not allowed to perform any action until the results are fetched. A success message appears as soon as the changes are applied, and the report data is updated accordingly.</span></div> <h2 id="h_01GJN6PCWK02K0MRG1AFV9CE41"><strong><span class="wysiwyg-font-size-x-large">Viewing Report for a Date Range</span></strong></h2> <p><span style="font-weight: 400;">Date filter enables you to filter data for the specified date range. To specify a date range, you can either use the existing options or can specify a custom date range using the calendar control.</span></p> <p><img src="/hc/article_attachments/900006613483" alt="3__variation_1_.png" /></p> <h2 id="h_01GJN6RQFFC8BXMVRPSAMQAHCN"><strong><span class="wysiwyg-font-size-x-large">Viewing Report by Visitor Segments</span></strong></h2> <p><span style="font-weight: 400;">To filter the report by visitor segments, click the </span><strong>All Visitors</strong><span style="font-weight: 400;"> drop-down menu and select the segment you want to apply. You can use the Segment Gallery (default VWO segments) or filter the report per the segment you want to apply. </span><span style="font-weight: 400;"><br /></span><span style="font-weight: 400;">To learn how to create a custom segment, </span><a href="https://help.vwo.com/hc/en-us/articles/360021473293">click here</a><span style="font-weight: 400;">.<img src="/hc/article_attachments/900005690846" alt="4.png" /></span></p> <h2 id="h_01GJN6RYBE317T1D8E1PQNMAJ2"><strong><span class="wysiwyg-font-size-x-large">Warnings and Notifications</span></strong></h2> <p><span style="font-weight: 400;">The notification box displays the status of your campaign and any warnings you must be aware of. </span></p> <div class="callout"><strong>NOTE: </strong><span style="font-weight: 400;">To declare a variation as a winner or a smart decision, VWO requires a minimum of 25 conversions per variation, 1500 visitors for the test, and the test must be running for at least a week.</span></div> <p><img src="/hc/article_attachments/900005690866" alt="5.png" /></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">The notification section displays the campaign's status and any other issues with data collection in a variation or with conversion tracking. You can also view the Winner and Smart Decision notifications here.<br /><img src="/hc/article_attachments/900006613543" alt="6.png" /><br /></span><span style="font-weight: 400;"></span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Warnings are displayed if errors were made when setting up the campaign, which can impact your report's data integrity. <strong>For example,</strong> if you modify a test after it starts running.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Insights you derive from your test report, or even fresh ideas you may want to test.</span></li> </ul> <p><span style="font-weight: 400;">To know more about VWO warnings, refer to <a href="https://help.vwo.com/hc/en-us/articles/900005577303" target="_blank" rel="noopener">Warnings in VWO</a>.</span></p> <h2 id="h_01GJN6S7C7S1MVQ62P5E5P44QS"><span class="wysiwyg-font-size-x-large" style="font-weight: 400;"><strong>Customizing the Report View</strong><br /></span><span class="wysiwyg-font-size-x-large" style="font-weight: 400;"></span></h2> <p><span style="font-weight: 400;"><span style="font-weight: 400;">You can customize the layout of your report using the <strong>View Settings</strong> option. To access this option, click on the gear icon present next to the stats table.</span></span></p> <p><img src="/hc/article_attachments/900005690886" alt="7.png" /></p> <ul> <li style="font-weight: 400;"><strong>Layout Options</strong><span style="font-weight: 400;">: From this section, you can customize the view of your table and graph reports. </span></li> <li style="font-weight: 400;"><strong>Table Options</strong><span style="font-weight: 400;">: From this section, you can add or remove columns to the report table, customize table rows to display, and update the data you want to view in the report. You can also move the columns to change how these should appear in the table. <br /></span>For more details, refer to <a href="https://help.vwo.com/hc/en-us/articles/360035248894" target="_self">View Settings</a>.</li> </ul> <h2 id="h_01GJN6SCCPPYS3WT7D27BHKPTB"><strong><span class="wysiwyg-font-size-x-large">Understanding the Reports Table</span></strong></h2> <p><span style="font-weight: 400;">The report table displays the data collected for each variation included in the campaign. By default, the control is set as the base for comparing that data. You can change the base to any other variation for calculations using the </span><strong>Use this as Baseline</strong><span style="font-weight: 400;"> option and can disable or preview the variations using </span><strong>Disable variation </strong><span style="font-weight: 400;">and</span><strong> Preview variation </strong><span style="font-weight: 400;">options from the vertical ellipsis icon<span style="font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif;"> <span class="wysiwyg-font-size-large">(<strong>⋮</strong>) </span></span>present at the right end of the table row.</span></p> <p><img src="/hc/article_attachments/900006613563" alt="8.png" /></p> <ul> <li style="font-weight: 400;"><strong>Expected conversion rate/Expected revenue per visitor</strong><span style="font-weight: 400;">: This is the median conversion rate you can expect from the variation. The "best case" and "worst case" conversion rates represent the 99% credible interval where the conversion rate is likely to be contained. <br /><br /></span></li> <li style="font-weight: 400;"><strong>Improvement/Revenue improvement:</strong><span style="font-weight: 400;"> This is the median improvement you can expect over the baseline if you implement the variation. The "best case" and "worst case" values represent the 99% credible interval where improvement is likely to be contained.<br /><br /></span></li> <li style="font-weight: 400;"><strong>Probability to beat control</strong><span style="font-weight: 400;">: The probability of a variation to perform better than the baseline. By default, control is the baseline.<br /><br /></span></li> <li style="font-weight: 400;"><strong>Probability to be best</strong><span style="font-weight: 400;">: This depicts the number of times a variation performed better than all other variations, including control.<br /><br /></span></li> <li style="font-weight: 400;"><strong>Expected revenue per conversion:</strong><span style="font-weight: 400;"> This is the median revenue per visitor you can expect from the variation. The "best case" and "worst case" revenue per visitor values represent the 99% credible interval where they are most likely to be contained.<br /><br /></span></li> <li style="font-weight: 400;"><strong>Conversions/Visitors</strong><span style="font-weight: 400;">: The ratio of the number of actual goal conversions to the total number of page visitors.<br /><br /></span></li> <li style="font-weight: 400;"><strong>Absolute potential loss</strong><span style="font-weight: 400;">: This depicts the differences between all the sample sets where variation is not a winner. Absolute Potential Loss finds out how much you stand to lose in a scenario where the variation in question always loses to another variation.</span></li> </ul> <div class="callout"><span style="font-weight: 400;"><strong>NOTE:</strong> If your Absolute Potential loss is 2% and the expected conversion rate is 10%, you still have a chance to improve this conversion rate and increase it to 12%.</span></div> <h2 id="h_01GJN6SKGPY1MPCWK8GPCKN409"><strong><span class="wysiwyg-font-size-x-large">Understanding the Graph View</span></strong></h2> <p><span style="font-weight: 400;">The graph provides information on the conversion rate, conversions, visitors, revenue per visitor, and revenue. You can view the graph in either of the following ways:</span></p> <ol> <li style="font-weight: 400;"><span style="font-weight: 400;">Date Range </span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Box Plot</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Probability Density<br /></span><span style="font-weight: 400;"></span></li> </ol> <h3 id="h_01HV6BD262HXNRDADR1K6YEW36"><strong><span class="wysiwyg-font-size-large">Date Range</span><br /></strong><span style="font-weight: 400;"></span></h3> <p><span style="font-weight: 400;">In the Date Range view, you can view the Conversion Rate, Conversions, Visitors, and Revenue per visitors' data over a period of time. You can choose a custom date range using the </span><strong>Date Filter</strong><span style="font-weight: 400;">. For more information on Date Filter, refer to the </span><strong>View Report for a Date Range </strong><span style="font-weight: 400;">section.</span></p> <div class="callout"><span style="font-weight: 400;"><strong>NOTE:</strong> To get the most actual results, it is recommended to have a diverse set of data. <strong>For example,</strong> people tend to buy more mobile phones when the manufacturer announces a price cut and conversion rate for that month is not the best indicator of the overall picture.</span></div> <p><strong>Interpreting the Change in Conversions<br /></strong><span style="font-weight: 400;">The Graph below shows the comparison between the Control(C) and Variation(V1). The orange line denotes the Control, whereas the blue line denotes the Variation. Initially, both the Control and Variation are at mark zero. As soon as the inflow of visitor traffic starts, data collection begins, and the conversions are tracked. Based on the data collected over time, the change in graph pattern could be seen.  </span></p> <p><img src="/hc/article_attachments/900005690926" alt="9.png" /></p> <p><span style="font-weight: 400;">In the above graph, the x-axis represents the dates, and the y-axis represents the conversions. To identify the change between the two, let’s look at the graph pattern of June 21. It clearly shows the number of conversions in the Variation is well beyond the Control. Likewise, you can interpret the graph pattern for all other date ranges.</span></p> <p><img src="/hc/article_attachments/900006613863" alt="10.png" /></p> <p><span style="font-weight: 400;"><span>You can also turn on ranges and see how the conversion rate range for variations have evolved over time. Ideally, the ranges become smaller over time, and that should reflect in the graph. If the ranges go wide, it indicates fluctuations in the data. If the ranges overlap, it signifies uncertainty about which variation is performing better. Read more about uncertainty overlap in the <strong>Box Plot</strong> section.</span></span></p> <h3 id="h_01HV6BD262VY4ZN98SVGSQ424D"><strong><span class="wysiwyg-font-size-large">Box Plot</span><br /></strong><span style="font-weight: 400;"></span></h3> <p><span style="font-weight: 400;">In the Box Plot view, you can view Revenue, Revenue Per Visitor, Conversions, Conversion Rate, and Visitors as box plots to see any uncertainty overlap amongst Variations and Baseline. </span></p> <div class="tip"><strong>INFO: </strong><span style="font-weight: 400;">Uncertainty Overlap is the area where there is an overlap among variations and we are uncertain about which variation is performing better. If your best performing variation has a lot of uncertainty overlap, we recommend that you should run the test for a longer duration. To see how the uncertainty overlap appears, refer to the blue-lined between the box plots of Control and Variation in the graph below.</span></div> <p><img src="/hc/article_attachments/900006613583" alt="11.png" /></p> <p><strong>Interpreting the Change in Box Plot<br /></strong><span style="font-weight: 400;">In this graph, the box plots of Control and Variations are shown along with the uncertainty overlap. The orange is the box plot of Control, and the other in blue is the box plot of Variation. Based on the data collected, the Best Case, Most Likely, and Worst Case are derived. <span>Here, the Most Likely value represents the median value of the conversion rate. The Best Case and Worst Case values represent extreme cases. In the probability distribution curve below, you’ll see that Best Case and Worst Case scenarios are way less probable than the Most Likely scenario. The more</span> the data, the higher the probability of conversion rate near the Most Likely(median) value. The area above the uncertainty overlap indicates that the conversions are much higher in the Variation compared to the Control.</span></p> <h3 id="h_01HV6BD262SPCVWAXEJYFNG43E"><strong><span class="wysiwyg-font-size-large">Probability Density</span></strong></h3> <p><span style="font-weight: 400;">The probability distribution curve tells us the probability of getting a conversion rate. In VWO graphs, the x-axis represents the conversion rate, and the y-axis represents the probability. The top of the curve is the conversion rate with the highest probability of getting expected results, and the range of the graph represents the 99-percentile conversion rate range.</span></p> <div class="tip"><strong>INFO:</strong><span style="font-weight: 400;"> By definition, the 99 percentile conversion rate range represents a range that we are 99% confident that the true conversion rate of your variation lies in this range. For instance, VWO could have chosen to keep the conversion rate to 80 percentile or even lesser but, this would produce incorrect results. Thus, to get the most actual results, VWO has kept the conversion rate range to 99 percentile.</span></div> <p><img src="/hc/article_attachments/900006613603" alt="12.png" /></p> <p><strong>Interpreting the Change in Probability Density curves<br /></strong><span style="font-weight: 400;">Our initial guess about the conversion rate of your website is anything between 0% and 100%, this indicates the probability of any conversion number is the same. <strong>For example,</strong> the probability of the conversion rate being 4% is the same as that of 32%, and so on. When you start collecting data, we use it to update our initial guess. The updated guess is what you see in the reports as Conversion Rate. With each data point, you come closer to the actual conversion rate. If you plot the Conversion Rate against its updated probability, you get a graph as above. </span></p> <div class="callout"><strong>NOTE:  </strong><span style="font-weight: 400;">The probability of the values that are not close to the expected conversion rate starts to drop off and the probability of the values near the expected conversion rate increases. </span></div> <p><span style="font-weight: 400;">In the graph, the probability density of Control and Variations are shown along with the uncertainty overlap. The orange curve represents the Control, and the other one in blue represents the curve for Variation. The median value of Variation is 2.16%, whereas, for the control, it is 0.86%. This clearly indicates that the probability of conversion is higher in Variation. The more the data, the higher will be the probability of conversion rate to be near the median value.</span></p> <div class="tip"><strong>INFO:</strong> We recommend you to go through <a href="https://help.vwo.com/hc/en-us/articles/14663731495833" target="_blank" rel="noopener">this article</a> to get a deeper understanding of the graphs in VWO.</div> </div> <div class="article-attachments"> <ul class="attachments"> </ul> </div> </div> </section> <footer> <div class="article-footer"> </div> <div class="article-votes"> <h3 class="article-votes-question">Was this article helpful?</h3> <div class="article-votes-controls" role='radiogroup'> <a class="button article-vote article-vote-up" data-helper="vote" data-item="article" data-type="up" data-id="360035731533" data-upvote-count="2" data-vote-count="3" data-vote-sum="1" data-vote-url="/hc/en-us/articles/360035731533/vote" data-value="null" data-label="2 out of 3 found this helpful" data-selected-class="null" aria-selected="false" role="radio" rel="nofollow" title="Yes" href="#"></a> <a class="button article-vote article-vote-down" data-helper="vote" data-item="article" data-type="down" data-id="360035731533" data-upvote-count="2" data-vote-count="3" data-vote-sum="1" data-vote-url="/hc/en-us/articles/360035731533/vote" data-value="null" data-label="2 out of 3 found this helpful" data-selected-class="null" aria-selected="false" role="radio" rel="nofollow" title="No" href="#"></a> </div> <small class="article-votes-count" hidden> <span class="article-vote-label" data-helper="vote" data-item="article" data-type="label" data-id="360035731533" data-upvote-count="2" data-vote-count="3" data-vote-sum="1" data-vote-url="/hc/en-us/articles/360035731533/vote" data-value="null" data-label="2 out of 3 found this helpful">2 out of 3 found this helpful</span> </small> </div> <div class="article-return-to-top"> <a href="#article-container">Return to top<span class="icon-arrow-up"></span></a> </div> </footer> <section class="article-relatives"> <div data-recent-articles></div> <section class="related-articles"> <h3 class="related-articles-title">Related articles</h3> <ul> <li> <a href="/hc/en-us/related/click?data=BAh7CjobZGVzdGluYXRpb25fYXJ0aWNsZV9pZGwrCB7NqtNTADoYcmVmZXJyZXJfYXJ0aWNsZV9pZGwrCE1IzdNTADoLbG9jYWxlSSIKZW4tdXMGOgZFVDoIdXJsSSI8L2hjL2VuLXVzL2FydGljbGVzLzM2MDAzMzQ3MTc3NC1XaGF0LWlzLWEtV2lubmVyLWluLVZXTwY7CFQ6CXJhbmtpBg%3D%3D--c92927e671c613c5ec0f01f1c00dad91ea8005f7" rel="nofollow">What is a Winner in VWO?</a> </li> <li> <a href="/hc/en-us/related/click?data=BAh7CjobZGVzdGluYXRpb25fYXJ0aWNsZV9pZGwrCKLixdNTADoYcmVmZXJyZXJfYXJ0aWNsZV9pZGwrCE1IzdNTADoLbG9jYWxlSSIKZW4tdXMGOgZFVDoIdXJsSSJIL2hjL2VuLXVzL2FydGljbGVzLzM2MDAzNTI0Njc1NC1OZXctQS1CLVRlc3QtUmVwb3J0cy1XaGF0LXMtQ2hhbmdlZAY7CFQ6CXJhbmtpBw%3D%3D--5ef359593bd9db3263026bf34d417f1ca6cc4cc9" rel="nofollow">New A/B Test Reports - What's Changed?</a> </li> <li> <a href="/hc/en-us/related/click?data=BAh7CjobZGVzdGluYXRpb25fYXJ0aWNsZV9pZGwrCBlTbw8FGzoYcmVmZXJyZXJfYXJ0aWNsZV9pZGwrCE1IzdNTADoLbG9jYWxlSSIKZW4tdXMGOgZFVDoIdXJsSSJIL2hjL2VuLXVzL2FydGljbGVzLzI5NzA4NTQ3NzQwNDQxLVNob3BpZnktcy1WV08tQXBwLWZvci1JbnRlZ3JhdGlvbgY7CFQ6CXJhbmtpCA%3D%3D--35c400c5e30022d7885d842704507d583bdfe088" rel="nofollow">Shopify's VWO App for Integration</a> </li> <li> <a href="/hc/en-us/related/click?data=BAh7CjobZGVzdGluYXRpb25fYXJ0aWNsZV9pZGwrCBlsWCTkBzoYcmVmZXJyZXJfYXJ0aWNsZV9pZGwrCE1IzdNTADoLbG9jYWxlSSIKZW4tdXMGOgZFVDoIdXJsSSJAL2hjL2VuLXVzL2FydGljbGVzLzg2NzY0NDM3MTI1MzctV29ya2luZy1XaXRoLUV2ZW50cy1pbi1WV08GOwhUOglyYW5raQk%3D--b0c4092aadfec5242e5ea765219e876f68a98364" rel="nofollow">Working With Events in VWO</a> </li> <li> <a href="/hc/en-us/related/click?data=BAh7CjobZGVzdGluYXRpb25fYXJ0aWNsZV9pZGwrCFdCg4zRADoYcmVmZXJyZXJfYXJ0aWNsZV9pZGwrCE1IzdNTADoLbG9jYWxlSSIKZW4tdXMGOgZFVDoIdXJsSSI0L2hjL2VuLXVzL2FydGljbGVzLzkwMDAwNTU3NzMwMy1XYXJuaW5ncy1pbi1WV08GOwhUOglyYW5raQo%3D--813690c6b85d86eb3e0209c029082a15783702a1" rel="nofollow">Warnings in VWO</a> </li> </ul> </section> </section> </article> </div> </div> </main> <div class="js-modal modal" id="modal-form-experience" tabindex="-1" role="dialog"> <div class="js-modal-mask modal-mask"></div> <div class="js-modal-box modal-content"> <button type="button" class="js-close-modal modal-close-btn" aria-label="Close modal" title="Close modal"> × </button> <form id="js-custom-form" class="modal-form"> <h3>We're sorry to know about your experience. 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Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/mobile-app-ab-testing/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Mobile App A/B Testing</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/multivariate-testing/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Multivariate Testing</a></li> </ul> </div> <div class="W(3/12)--md"> <ul class="List(n) P(0) D(f) Flw(w) D(b)--md Mt(0)--md Mt(10px) Mb(0)"> <li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/push-notifications/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Push Notifications</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/server-side-testing/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Server Side Testing</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/session-recording/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Session Recording</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/usability-testing/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Usability Testing</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/visitor-behavior-analysis/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Visitor Behavior Analysis</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/form-analytics/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Web Form Analytics</a></li> </ul> </div> <div class="W(3/12)--md"> <ul class="List(n) P(0) D(f) Flw(w) D(b)--md Mt(0)--md Mt(10px) Mb(0)"> <li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/website-heatmap/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Website Heatmaps</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/website-optimization/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Website Optimization</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/website-personalization/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Website Personalization</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/website-redesign/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Website Redesign</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/website-surveys/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Website Surveys</a></li> </ul> </div> </div> </div> <div class="D(f)--md D(n)--print Mb(30px)--md Mb(70px)"> <div class="W(20%)--md Fxs(0) Mb(40px) Mb(0)--md Px(10px) Bxz(bb)"> <h3 class="M(0) Tt(u) Px(10px)--md Fz($font-size-14)">Products</h3> <ul class="D(b)--md D(f) Flw(w) List(n) Mt(10px) Mb(0) P(0) Fz($font-size-13)"> <li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/testing/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO Testing</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/insights/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO Insights</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/customer-data-platform/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO Data360</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/personalization/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO Personalize</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/plan/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO Plan</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/deploy/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO Web Rollouts</a></li> </ul> </div> <div class="W(20%)--md Fxs(0) Mb(40px) Mb(0)--md Px(10px) Bxz(bb)"> <h3 class="M(0) Tt(u) Px(10px)--md Fz($font-size-14)">Compare</h3> <ul class="D(b)--md D(f) Flw(w) List(n) Mt(10px) Mb(0) P(0) Fz($font-size-13) Whs(nw)--lg"> <li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/optimizely/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO vs. Optimizely</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/google-optimize/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">VWO vs. Google Optimize</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/google-optimize-vs-optimizely/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Google Optimize vs. Optimizely</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/google-optimize-360-vs-optimizely/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Google Optimize 360 vs. Optimizely</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/adobe-target-vs-google-optimize/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Adobe Target vs. Google Optimize</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/google-optimize-vs-optimize-360/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Google Optimize vs. Optimize 360</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/google-optimize-vs-kameleoon/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Google Optimize vs. Kameleoon</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/optimizely-vs-kameleoon/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Optimizely vs. Kameleoon</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/kameleoon-vs-ab-tasty/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Kameleoon vs. AB Tasty</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/kameleoon-vs-optimize-360/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Kameleoon vs. Optimize 360</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/compare/ab-tasty-vs-optimize-360/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">AB Tasty vs. Optimize 360</a></li> </ul> </div> <div class="W(20%)--md Fxs(0) Mb(40px) Mb(0)--md Px(10px) Bxz(bb)"> <h3 class="M(0) Tt(u) Px(10px)--md Fz($font-size-14)">Resources</h3> <ul class="D(b)--md D(f) Flw(w) List(n) Mt(10px) Mb(40px) P(0) Fz($font-size-14)"> <li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/blog/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Blog</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/product-updates/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Product Updates</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/success-stories/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">Success Stories</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a D(n)::a--md D(n):lc::a D(if)::a W(1px)::a H(12px)::a Mx(10px)::a Bgc(#5d616a)::a"><a href="https://vwo.com/ebooks/" class="C(#181818) C($color-black):h Td(n) Td(u):h Py(14px)--coarse">eBooks</a></li><li class="Px(10px)--md Bxz(bb) Mb(6px) D(f) Ai(c) Cnt(noq)::a 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