{"id":236050,"date":"2024-09-08T15:06:00","date_gmt":"2024-09-08T15:06:00","guid":{"rendered":"https:\/\/userpilot.com\/blog\/mixpanel-ab-testing\/"},"modified":"2026-03-18T12:42:36","modified_gmt":"2026-03-18T12:42:36","slug":"mixpanel-ab-testing","status":"publish","type":"post","link":"https:\/\/userpilot.com\/blog\/mixpanel-ab-testing\/","title":{"rendered":"Mixpanel A\/B Testing: How it Works [+ Better Alternative]"},"content":{"rendered":"<p>Data from 99firms found that 77% of companies run A\/B tests. But, extracting actionable insights is only possible when you use the right <a href=\"https:\/\/userpilot.com\/product\/product-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">product analytics<\/a> platform.<\/p>\n<p>Many companies choose Mixpanel A\/B testing to run their product experiments. If you are reading this article, you are probably considering it too!<\/p>\n<p>To help you make a decision, in this blog, we will go over the specifics of A\/B tests in Mixpanel, uncover its pros and cons, and introduce you to a better alternative.<\/p>\n<h2 id=\"950ji\">TL;DR<\/h2>\n<ul>\n<li>Mixpanel&#8217;s <a href=\"https:\/\/userpilot.com\/blog\/what-is-ab-testing-in-marketing\/\" target=\"_blank\" rel=\"noopener noreferrer\">A\/B tests<\/a> work by letting you select an experiment (or create a new one), define your control\/variant groups, and set a date range.<\/li>\n<li>You can analyze Mixpanel A\/B testing results using <a href=\"https:\/\/userpilot.com\/blog\/analytics-dashboard-examples\/\" target=\"_blank\" rel=\"noopener noreferrer\">analytics dashboards<\/a>, <a href=\"https:\/\/userpilot.com\/blog\/funnel-analysis-examples\/\" target=\"_blank\" rel=\"noopener noreferrer\">funnel analysis<\/a>, and <a href=\"https:\/\/userpilot.com\/blog\/customer-segmentation-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">customer segmentation<\/a>.<\/li>\n<li>Mixpanel&#8217;s A\/B testing features are only available on the Enterprise plan, which starts at $1,667\/month.<\/li>\n<li>You might need a Mixpanel alternative due to how expensive the product is and the lackluster support experience. The platform also has a heavy dependence on code, which can prove challenging for non-technical team members.<\/li>\n<li><a href=\"https:\/\/userpilot.com\/blog\/userpilot-analytics\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot <\/a>is an attractive alternative A\/B testing tool due to its no-code capabilities and more affordable \u2014 not to mention transparent \u2014pricing. It also has a broader feature set that lets you collect <a href=\"https:\/\/userpilot.com\/blog\/how-to-analyse-qualitative-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">qualitative insights<\/a> with surveys and <a href=\"https:\/\/userpilot.com\/blog\/increase-app-engagement\/\" target=\"_blank\" rel=\"noopener noreferrer\">engage users in-app <\/a>with a variety UI patterns.<\/li>\n<li><a href=\"https:\/\/userpilot.com\/\">Userpilot<\/a> lets you create controlled A\/B tests, head-to-head A\/B tests, and controlled <a href=\"https:\/\/userpilot.com\/blog\/what-is-multivariate-testing\/\" target=\"_blank\" rel=\"noopener noreferrer\">multivariate tests<\/a>. This makes it possible to compare the performance of two flows while testing multiple variables at once.<\/li>\n<li>Userpilot&#8217;s A\/B testing features are available on the annual Growth plan.<\/li>\n<li>You should choose Userpilot over Mixpanel if you want a no-code experience with a variety of tests plus built-in <a href=\"https:\/\/userpilot.com\/blog\/how-to-collect-customer-feedback\/\" target=\"_blank\" rel=\"noopener noreferrer\">feedback collection <\/a>and user engagement capabilities. <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Get your free Userpilot demo today!<\/a><\/li>\n<\/ul>\n<h2 id=\"4c8n8\">How does Mixpanel A\/B testing work?<\/h2>\n<p>Mixpanel is a robust<a href=\"https:\/\/userpilot.com\/blog\/product-analytics-tools-guide\/\" target=\"_blank\" rel=\"noopener noreferrer\"> product analytics tool<\/a> that also offers experimentation functionalities.<\/p>\n<p>Although it doesn\u2019t offer advanced A\/B testing features that specialized platforms like AB Tasty or Omniconvert do, they allow <a href=\"https:\/\/userpilot.com\/blog\/product-team-structure\/\" target=\"_blank\" rel=\"noopener noreferrer\">product teams <\/a>to run basic tests fairly easily.<\/p>\n<p>Here&#8217;s a detailed process for setting up an <a href=\"https:\/\/userpilot.com\/blog\/what-is-ab-testing-in-marketing\/\" target=\"_blank\" rel=\"noopener noreferrer\">A\/B test<\/a> in Mixpanel:<\/p>\n<ul>\n<li><strong>Select an experiment.<\/strong> You can select 2 types of experiments: custom and tracked. Custom experiments allow you to define the control and variant groups of the experiment by cohort, <a href=\"https:\/\/userpilot.com\/blog\/user-profile\/\" target=\"_blank\" rel=\"noopener noreferrer\">user profile property<\/a>, or event property filters. Alternatively, you can select existing experiments that were initiated within the last 30 days using the &#8220;Tracked Experiments&#8221; dropdown.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-custom-experiment_8eca693785cb8e573f8e726bfccdcc8a_800.png 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-custom-experiment_8eca693785cb8e573f8e726bfccdcc8a_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-custom-experiment_8eca693785cb8e573f8e726bfccdcc8a_800.png 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-custom-experiment_8eca693785cb8e573f8e726bfccdcc8a_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-custom-experiment_8eca693785cb8e573f8e726bfccdcc8a_800.png\" alt=\"Mixpanel custom experiment\" \/><\/picture><figcaption>Source: Mixpanel.<\/figcaption><\/figure>\n<ul>\n<li><strong>Define your audiences.<\/strong> Create a group of users to represent your control group and variant group respectively. In a custom experiment, these groups can be any <a href=\"https:\/\/userpilot.com\/blog\/cohort-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">cohort of users <\/a>filtered based on specific events and properties.<\/li>\n<li><strong>Make sure the groups don\u2019t overlap. <\/strong>For example, in an <a href=\"https:\/\/userpilot.com\/blog\/user-onboarding-flow\/\" target=\"_blank\" rel=\"noopener noreferrer\">onboarding flow <\/a>test, the control group should only include users going through the current onboarding, not the new version. Mixing users between the control and test groups can mess up your results and make them less reliable.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-control-and-variant-groups_f8b0369162f00912c88a61eb050ef307_800.png 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-control-and-variant-groups_f8b0369162f00912c88a61eb050ef307_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-control-and-variant-groups_f8b0369162f00912c88a61eb050ef307_800.png 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-control-and-variant-groups_f8b0369162f00912c88a61eb050ef307_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-control-and-variant-groups_f8b0369162f00912c88a61eb050ef307_800.png\" alt=\"Mixpanel control and variant groups\" \/><\/picture><figcaption>Source: Mixpanel.<\/figcaption><\/figure>\n<ul>\n<li><strong>Set a date range.<\/strong> Finally, you&#8217;ll need to select a date range for the experiment. You should always set the start date to the day your experiment first began. All events that occurred within the selected date range will be captured in the Experiment report, even if they happened before the experiment began.<\/li>\n<li><strong>Run the test and analyze the results.<\/strong> Once you execute the test and gather some data, Mixpanel&#8217;s <a href=\"https:\/\/userpilot.com\/blog\/dashboard-reporting-tools\/\" target=\"_blank\" rel=\"noopener noreferrer\">reporting dashboard <\/a>will display the statistical significance \u2014 measured based on the probability of the null hypothesis being true \u2014 below each bar <a href=\"https:\/\/userpilot.com\/blog\/types-of-charts\/\" target=\"_blank\" rel=\"noopener noreferrer\">chart<\/a>.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-statistical-significance_77d1c05e952dd64e010cad82511bde89_800.jpg 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-statistical-significance_77d1c05e952dd64e010cad82511bde89_1600.jfif 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-statistical-significance_77d1c05e952dd64e010cad82511bde89_800.jpg 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-statistical-significance_77d1c05e952dd64e010cad82511bde89_1600.jfif 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-statistical-significance_77d1c05e952dd64e010cad82511bde89_800.jpg\" alt=\"Mixpanel statistical significance\" \/><\/picture><figcaption>Source: Mixpanel.<\/figcaption><\/figure>\n<h2 id=\"btuk4\">How to analyze A\/B testing results in Mixpanel<\/h2>\n<p>Running experiments and gathering data are only the first half of the A\/B testing process. The second stage \u2014 which is arguably more important \u2014 consists of reviewing the collected data in order to extract actionable insights.<\/p>\n<p>There are three main ways to visualize your <a href=\"https:\/\/userpilot.com\/blog\/ab-testing-metrics\/\" target=\"_blank\" rel=\"noopener noreferrer\">A\/B testing metrics<\/a> with Mixpanel:<\/p>\n<ul>\n<li><strong>Dashboards.<\/strong> Mixpanel&#8217;s <a href=\"https:\/\/userpilot.com\/blog\/analytics-dashboard-examples\/\" target=\"_blank\" rel=\"noopener noreferrer\">analytics dashboards<\/a> let you see a detailed breakdown and comparison of your A and B groups. This view will help you identify how each group is influencing your key metrics on the dashboard.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-analytics-dashboard_3c819a58ff0a3c4c15befb62e88ea0bc_800.png 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-analytics-dashboard_3c819a58ff0a3c4c15befb62e88ea0bc_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-analytics-dashboard_3c819a58ff0a3c4c15befb62e88ea0bc_800.png 1x, https:\/\/images.storychief.com\/account_6827\/mixpanel-analytics-dashboard_3c819a58ff0a3c4c15befb62e88ea0bc_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-analytics-dashboard_3c819a58ff0a3c4c15befb62e88ea0bc_800.png\" alt=\"Mixpanel analytics dashboard\" \/><\/picture><figcaption>Source: Mixpanel.<\/figcaption><\/figure>\n<ul>\n<li><strong>Funnels.<\/strong> Conducting a <a href=\"https:\/\/userpilot.com\/blog\/funnel-analysis-examples\/\" target=\"_blank\" rel=\"noopener noreferrer\">funnel analysis<\/a> in Mixpanel can help you figure out how different variants of the A\/B test affected your <a href=\"https:\/\/userpilot.com\/blog\/conversion-funnel-visualization\/\" target=\"_blank\" rel=\"noopener noreferrer\">conversions<\/a>. For example, you might find most users in the variant group who watched a video went on to purchase, whereas the control group users didn\u2019t.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-funnel-analysis_aecfeeb47c5fff68bdeca32c92d1877e_800.png 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-funnel-analysis_aecfeeb47c5fff68bdeca32c92d1877e_800.png 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/mixpanel-funnel-analysis_aecfeeb47c5fff68bdeca32c92d1877e_800.png\" alt=\"Mixpanel funnel analysis\" \/><\/picture><figcaption>Source: Mixpanel.<\/figcaption><\/figure>\n<ul>\n<li><strong>Segments.<\/strong> Hone in on statistics for each group using Mixpanel&#8217;s <a href=\"https:\/\/userpilot.com\/blog\/customer-segmentation-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">segmentation capabilities<\/a>. For instance, you could look at how a particular A\/B test impacted your <a href=\"https:\/\/userpilot.com\/blog\/power-users\/\" target=\"_blank\" rel=\"noopener noreferrer\">power users<\/a>. Note that over-segmentation can be counterproductive when working with a smaller sample size.<\/li>\n<\/ul>\n<h2 id=\"8mbag\">Mixpanel A\/B testing pricing<\/h2>\n<p>Mixpanel&#8217;s A\/B testing features are only available on its Enterprise plan, which starts at $1,667\/month.<\/p>\n<p>However, the Enterprise plan does include unlimited team seats and up to a trillion monthly events, so it could still be viable for particularly large organizations.<\/p>\n<h2 id=\"bus0k\">Why you may need a Mixpanel alternative<\/h2>\n<p>While Mixpanel&#8217;s A\/B testing is quite fleshed out, there are a few reasons why you might need a Mixpanel alternative:<\/p>\n<ul>\n<li><strong>Cost.<\/strong> A\/B testing is only available on Mixpanel&#8217;s Enterprise plan (starting at $1,667\/month), which can be costly for smaller startups or mid-market <a href=\"https:\/\/userpilot.com\/blog\/saas-products\/\" target=\"_blank\" rel=\"noopener noreferrer\">SaaS companies<\/a>.<\/li>\n<li><strong>Complex setup.<\/strong> Most experiments will need developer assistance to set up, which can make things hard for no-code or low-code SaaS companies.<\/li>\n<li><strong>The quality of customer support.<\/strong> There are numerous complaints from users who received poor or no customer support from the Mixpanel team.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image_ef71df37a0d04c0a204e1449c4b53f44_800.png 1x, https:\/\/images.storychief.com\/account_6827\/image_ef71df37a0d04c0a204e1449c4b53f44_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image_ef71df37a0d04c0a204e1449c4b53f44_800.png 1x, https:\/\/images.storychief.com\/account_6827\/image_ef71df37a0d04c0a204e1449c4b53f44_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image_ef71df37a0d04c0a204e1449c4b53f44_800.png\" alt=\"A customer review of Mixpanel.\" \/><\/picture><figcaption>A customer review of Mixpanel.<\/figcaption><\/figure>\n<h2 id=\"1l7c4\">Userpilot &#8211; a better alternative to Mixpanel A\/B testing<\/h2>\n<p><a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a> is a full-suite product growth platform with a broad feature set that includes analytics, <a href=\"https:\/\/userpilot.com\/blog\/product-feedback\/\" target=\"_blank\" rel=\"noopener noreferrer\">feedback<\/a>, and engagement layers.<\/p>\n<h2 id=\"dmct5\">How does A\/B testing work in Userpilot?<\/h2>\n<p>Userpilot enables you to create three types of experiments: controlled A\/B test, head-to-head A\/B test, or controlled multivariate test.<\/p>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-ab-testing-tools_11e4d1ae037b18e174b75cfeea607f3e_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-ab-testing-tools_11e4d1ae037b18e174b75cfeea607f3e_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-ab-testing-tools_11e4d1ae037b18e174b75cfeea607f3e_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-ab-testing-tools_11e4d1ae037b18e174b75cfeea607f3e_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-ab-testing-tools_11e4d1ae037b18e174b75cfeea607f3e_800.png\" alt=\"Userpilot A\/B testing tools\" \/><\/picture><figcaption><a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a> A\/B testing tools.<\/figcaption><\/figure>\n<p>Here\u2019s a closer look at the three types of A\/B tests Userpilot supports:<\/p>\n<ul>\n<li><strong>Controlled A\/B testing.<\/strong> In controlled A\/B tests, you compare the performance of one flow (Flow A) against the control group that didn&#8217;t see a flow at all. This helps you determine whether or not Flow A was successful in achieving <a href=\"https:\/\/userpilot.com\/blog\/goal-setting-frameworks-saas\/\" target=\"_blank\" rel=\"noopener noreferrer\">the goal you set<\/a>. You can end the test once 50% of users have seen the flow and 50% haven&#8217;t, or run it for a set number of users with a minimum duration of 48 hours.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-controlled-ab-tetsing_b89d4bd5453e4dedbf40c143c1bb9a43_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-controlled-ab-tetsing_b89d4bd5453e4dedbf40c143c1bb9a43_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-controlled-ab-tetsing_b89d4bd5453e4dedbf40c143c1bb9a43_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-controlled-ab-tetsing_b89d4bd5453e4dedbf40c143c1bb9a43_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-controlled-ab-tetsing_b89d4bd5453e4dedbf40c143c1bb9a43_800.png\" alt=\"Userpilot controlled A\/B testing\" \/><\/picture><figcaption>Controlled A\/B testing in <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<ul>\n<li><strong>Head-to-head A\/B testing.<\/strong> In head-to-head A\/B tests, you compare two different flows (Flow A and B) without the use of a control group. This shows you which has <a href=\"https:\/\/userpilot.com\/blog\/increase-trial-to-paid-conversion-rate\/\" target=\"_blank\" rel=\"noopener noreferrer\">a higher conversion rate<\/a>. To start, assign a flow to each group. You can conclude the experiment once a result is clear, usually when 50% of the users have interacted with Group A\u2019s flow and the other half with Group B\u2019s flow.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image_79dad48448854eb29579026f6388de82_800.png 1x, https:\/\/images.storychief.com\/account_6827\/image_79dad48448854eb29579026f6388de82_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image_79dad48448854eb29579026f6388de82_800.png 1x, https:\/\/images.storychief.com\/account_6827\/image_79dad48448854eb29579026f6388de82_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/image_79dad48448854eb29579026f6388de82_800.png\" alt=\"The process of setting up a head-to-head A\/b test in Userpilot.\" \/><\/picture><figcaption>The process of setting up a head-to-head A\/b test in <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<ul>\n<li><strong>Controlled multivariate testing.<\/strong> In controlled <a href=\"https:\/\/userpilot.com\/blog\/what-is-multivariate-testing\/\" target=\"_blank\" rel=\"noopener noreferrer\">multivariate tests<\/a>, you compare the performance of multiple flows (Flow A, Flow B, Flow C, etc.) against a control group. The main distinction is that these flows can be set with different triggers and target various <a href=\"https:\/\/userpilot.com\/blog\/types-of-user-segmentation\/\" target=\"_blank\" rel=\"noopener noreferrer\">user segments<\/a>, enabling you to test multiple variables at once. You can conclude the experiment once 67% of users in the matching segment have seen the flows and 67% didn\u2019t trigger any flow.<\/li>\n<\/ul>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-controlled-multivariate-testing_bdabbaeb82fb5fc3df521fb1a14f74fd_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-controlled-multivariate-testing_bdabbaeb82fb5fc3df521fb1a14f74fd_1600.png 2x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-controlled-multivariate-testing_bdabbaeb82fb5fc3df521fb1a14f74fd_800.png 1x, https:\/\/images.storychief.com\/account_6827\/userpilot-controlled-multivariate-testing_bdabbaeb82fb5fc3df521fb1a14f74fd_1600.png 2x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-controlled-multivariate-testing_bdabbaeb82fb5fc3df521fb1a14f74fd_800.png\" alt=\"Userpilot multivariate testing\" \/><\/picture><figcaption><a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a> multivariate testing.<\/figcaption><\/figure>\n<h2 id=\"aqike\">Userpilot A\/B testing pricing<\/h2>\n<p>Userpilot&#8217;s A\/B testing capabilities are available on the Growth plan\u00a0or higher. This makes <a href=\"https:\/\/userpilot.com\/pricing\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot&#8217;s pricing<\/a> both cheaper than Mixpanel and also more transparent since you don&#8217;t have to request a quote to see it.<\/p>\n<h2 id=\"53m5v\">Why choose Userpilot over Mixpanel for A\/B testing?<\/h2>\n<p>There are quite a few reasons why you might choose Userpilot as your A\/B testing solution instead of Mixpanel:<\/p>\n<ul>\n<li><strong>Test variety.<\/strong> Userpilot provides more options for setting up <a href=\"https:\/\/userpilot.com\/blog\/product-experimentation\/\" target=\"_blank\" rel=\"noopener noreferrer\">product experiments<\/a>, making it a more flexible and adaptable solution overall.<\/li>\n<li><strong>Feedback collection layer.<\/strong> Userpilot&#8217;s robust <a href=\"https:\/\/userpilot.com\/blog\/product-feedback\/\" target=\"_blank\" rel=\"noopener noreferrer\">feedback management<\/a> features enable you to gather <a href=\"https:\/\/userpilot.com\/blog\/how-to-analyse-qualitative-data\/\" target=\"_blank\" rel=\"noopener noreferrer\">qualitative insights<\/a> to back up the <a href=\"https:\/\/userpilot.com\/blog\/quantitative-data-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\">quantitative test data<\/a>.<\/li>\n<li><strong>Truly no-code.<\/strong> Unlike other platforms, Userpilot is 100% no-code, meaning every team member will be able to create tests using our visual editor.<\/li>\n<li><strong>Engagement features.<\/strong> Userpilot offers different UI patterns, such as modals, <a href=\"https:\/\/userpilot.com\/blog\/tooltip-examples-saas\/\">tooltips<\/a>, hotspots, etc., for designing <a href=\"https:\/\/userpilot.com\/blog\/interactive-user-guides\/\" target=\"_blank\" rel=\"noopener noreferrer\">user guides<\/a> or other product experiences. This allows users to create in-app flows and deploy A\/B tests within from single interface.<\/li>\n<li><strong>Transparent pricing.<\/strong> Userpilot\u2019s pricing offers great value for the money while being as transparent as possible.<\/li>\n<\/ul>\n<p>Don&#8217;t take our word for it. Just look at the <a href=\"https:\/\/userpilot.com\/blog\/positive-user-experience\/\" target=\"_blank\" rel=\"noopener noreferrer\">positive user experiences<\/a> from our actual customers:<\/p>\n<figure class=\"image strchf-type-image regular strchf-size-regular strchf-align-center\"><picture><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-positive-user-experiences_9994a46b42f4f3e47a5319fd647c4e56_800.png 1x\" media=\"(max-width: 768px)\" \/><source srcset=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-positive-user-experiences_9994a46b42f4f3e47a5319fd647c4e56_800.png 1x\" media=\"(min-width: 769px)\" \/><img decoding=\"async\" src=\"https:\/\/blog-static.userpilot.com\/blog\/wp-content\/uploads\/2025\/10\/userpilot-positive-user-experiences_9994a46b42f4f3e47a5319fd647c4e56_800.png\" alt=\"Userpilot positive user experiences\" \/><\/picture><figcaption>Content creation and extensive analytics in <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\" target=\"_blank\" rel=\"noopener noreferrer\">Userpilot<\/a>.<\/figcaption><\/figure>\n<h2 id=\"7crqm\">Conclusion<\/h2>\n<p>As you can see, Mixpanel A\/B testing offers decent functionality but is likely going to be too expensive for all but the largest SaaS companies to use.<\/p>\n<p>If you&#8217;re a mid-market SaaS business looking for a variety of tests, no-code experience, and accessible pricing, then <a href=\"https:\/\/userpilot.com\/userpilot-demo\/\">book your Userpilot demo<\/a> to get started!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wondering how Mixpanel&#8217;s A\/B testing features work and whether or not they&#8217;re the right fit for you? Find out in our comprehensive guide!<\/p>\n","protected":false},"author":24,"featured_media":236051,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[770],"tags":[5700,979,5128,5612,942,6123,346,6089],"class_list":["post-236050","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ux-analytics","tag-ab-test","tag-ab-testing","tag-ab-tests","tag-ab-tools","tag-feedback-collection","tag-mixpanel-alternatives","tag-product-analytics","tag-userpilot-vs-mixpanel"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Mixpanel A\/B Testing: How it Works [+ Better Alternative]<\/title>\n<meta name=\"description\" content=\"Wondering how Mixpanel&#039;s A\/B testing features work and whether or not they&#039;re the right fit for you? 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