{"id":220,"count":0,"description":"","link":"https:\/\/tenjin.com\/ja\/glossary\/ab-testing\/","name":"A\/B Testing","slug":"ab-testing","taxonomy":"glossaries","parent":0,"meta":{"status":["1","1"],"order":["0","0"],"glossary_term_description":["<h2 class=\"wp-block-heading\">What is A\/B Testing?<\/h2>\r\n<!-- \/wp:heading -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nA\/B testing is a strategy where marketers compare two different versions of an asset and measure the outcome. The winner between the two tested assets is then used to generate better KPIs for the end goal.\r\n\r\nYou can perform A\/B testing on almost any part of an asset in your advertisement or campaign.\r\n\r\nIn A\/B testing, two versions are tested within a controlled environment. This typically means showing each asset an equal division of the target audience.\u00a0 The 'winning' version is determined in regards to the goals set by the marketer.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nOnce the winner is determined, marketers usually go on to test other versions with the goal to convert more and more leads to paying customers.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:heading -->\r\n<h2 class=\"wp-block-heading\">What Is An Example Of A\/B Testing?<\/h2>\r\n<!-- \/wp:heading -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nIf your goal is to optimize your campaign for clicks and conversions, you would first identify the current behavior of your audience. This is typically done through the use of <a href=\"https:\/\/www.hotjar.com\/heatmaps\/\">heatmaps<\/a> or other analytics tools.\r\n\r\nYou would use these tools to answer questions like:\r\n<ol>\r\n \t<li>What are my users clicking<\/li>\r\n \t<li>What are they not clicking?<\/li>\r\n \t<li>What do I want them to start clicking?<\/li>\r\n<\/ol>\r\nThe next step is utilizing this information about click behavior to generate various hypotheses that could lead to more and more converting users.\r\n\r\nIf your end goal of A\/B Testing is to get more people to sign up to your product or offering, then you can use the places where users are currently clicking the most to lead to the sign up page.\r\n\r\nAlternatively, you can conclude that if users are not clicking on a particular image or CTA due to weak imagery or unattractive choice of words and replace them.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nAn A\/B test should be run between a treatment and a control group where the treatment group experiences the change and the control group remains as it was.\r\n\r\nAlternatively, if you are running a new campaign altogether and don't have any past data on clicks and other user behavior, you would be testing out two new hypotheses at the same time.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nAfter a set amount of time, you would compare the conversion rates for the asset (or the treatment group) to the control group.\r\n\r\nDid the new design get you more clicks, and therefore more conversions? If your answer is yes, then you would stick to the new design and move on to the next A\/B test.\r\n\r\n<!-- \/wp:paragraph -->"]},"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>A\/B Testing | Tenjin Glossary<\/title>\n<meta name=\"description\" content=\"Learn what A\/B testing is and how marketers use it to optimize campaigns. Step-by-step examples of comparing versions to boost clicks and conversions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/tenjin.com\/ja\/glossary\/ab-testing\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A\/B Testing | Tenjin Glossary\" \/>\n<meta property=\"og:description\" content=\"Learn what A\/B testing is and how marketers use it to optimize campaigns. 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The winner between the two tested assets is then used to generate better KPIs for the end goal.\r\n\r\nYou can perform A\/B testing on almost any part of an asset in your advertisement or campaign.\r\n\r\nIn A\/B testing, two versions are tested within a controlled environment. This typically means showing each asset an equal division of the target audience.\u00a0 The 'winning' version is determined in regards to the goals set by the marketer.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nOnce the winner is determined, marketers usually go on to test other versions with the goal to convert more and more leads to paying customers.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:heading -->\r\n<h2 class=\"wp-block-heading\">What Is An Example Of A\/B Testing?<\/h2>\r\n<!-- \/wp:heading -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nIf your goal is to optimize your campaign for clicks and conversions, you would first identify the current behavior of your audience. This is typically done through the use of <a href=\"https:\/\/www.hotjar.com\/heatmaps\/\">heatmaps<\/a> or other analytics tools.\r\n\r\nYou would use these tools to answer questions like:\r\n<ol>\r\n \t<li>What are my users clicking<\/li>\r\n \t<li>What are they not clicking?<\/li>\r\n \t<li>What do I want them to start clicking?<\/li>\r\n<\/ol>\r\nThe next step is utilizing this information about click behavior to generate various hypotheses that could lead to more and more converting users.\r\n\r\nIf your end goal of A\/B Testing is to get more people to sign up to your product or offering, then you can use the places where users are currently clicking the most to lead to the sign up page.\r\n\r\nAlternatively, you can conclude that if users are not clicking on a particular image or CTA due to weak imagery or unattractive choice of words and replace them.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nAn A\/B test should be run between a treatment and a control group where the treatment group experiences the change and the control group remains as it was.\r\n\r\nAlternatively, if you are running a new campaign altogether and don't have any past data on clicks and other user behavior, you would be testing out two new hypotheses at the same time.\r\n\r\n<!-- \/wp:paragraph -->\r\n\r\n<!-- wp:paragraph -->\r\n\r\nAfter a set amount of time, you would compare the conversion rates for the asset (or the treatment group) to the control group.\r\n\r\nDid the new design get you more clicks, and therefore more conversions? If your answer is yes, then you would stick to the new design and move on to the next A\/B test.\r\n\r\n<!-- \/wp:paragraph -->","_links":{"self":[{"href":"https:\/\/tenjin.com\/ja\/wp-json\/wp\/v2\/glossaries\/220","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tenjin.com\/ja\/wp-json\/wp\/v2\/glossaries"}],"about":[{"href":"https:\/\/tenjin.com\/ja\/wp-json\/wp\/v2\/taxonomies\/glossaries"}],"wp:post_type":[{"href":"https:\/\/tenjin.com\/ja\/wp-json\/wp\/v2\/docs?glossaries=220"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}