{"id":306,"date":"2015-09-30T11:45:51","date_gmt":"2015-09-30T17:45:51","guid":{"rendered":"https:\/\/www.ometrics.com\/blog\/?p=306"},"modified":"2022-06-28T04:22:21","modified_gmt":"2022-06-28T10:22:21","slug":"vwos-new-smartstats-bayesian-statistics","status":"publish","type":"post","link":"https:\/\/www.ometrics.com\/blog\/vwos-new-smartstats-bayesian-statistics\/","title":{"rendered":"VWO&#8217;s New SmartStats Bayesian Statistics"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;section&#8221; _builder_version=&#8221;3.22&#8243;][et_pb_row admin_label=&#8221;row&#8221; _builder_version=&#8221;3.25&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;3.25&#8243; custom_padding=&#8221;|||&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text admin_label=&#8221;Text&#8221; _builder_version=&#8221;3.27.4&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;]In October 2015 VWO is launching its new SmartStats which runs on Bayesian statistics. This will provide better understanding on how long to run a test for conversion rate optimization. They do not get into the algorithm but discuss the benefits of being able to view the data in three perspectives (below).<\/p>\n<p><!--more--><\/p>\n<p>In the end I do not think this will affect testing to much but will allow those who do not understand statistics and the phases of an A-B test to read the data clearer and make the right decisions. Too often I see decisions made too quickly in a test and this will help in preventing inaccurate conclusions.<\/p>\n<p><a href=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-307\" src=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1.jpg\" alt=\"conversion testing over time\" width=\"722\" height=\"785\" srcset=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1.jpg 722w, https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1-275x300.jpg 275w, https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1-624x678.jpg 624w\" sizes=\"(max-width: 722px) 100vw, 722px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo2.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-308\" src=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo2.jpg\" alt=\"conversion optimization a-b testing over time\" width=\"711\" height=\"418\" srcset=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo2.jpg 711w, https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo2-300x176.jpg 300w, https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo2-624x366.jpg 624w\" sizes=\"(max-width: 711px) 100vw, 711px\" \/><\/a><\/p>\n<p><strong>Here are the three modes&nbsp;VWO is providing<\/strong><\/p>\n<p><strong>Quick learnings<\/strong><br \/>\nFor finding quick trends where tests don\u2019t affect your revenue directly<\/p>\n<p>You can choose this mode when testing non-revenue goals such as bounce rate and time spent on a page, or for quick headline tests. With this mode you can reduce your testing time for non-critical tests where there isn\u2019t a risk of hurting your revenue directly by deploying a false winner.<\/p>\n<p><strong>Balanced<\/strong><br \/>\nIdeal for most tests.<\/p>\n<p>This is the default mode and can be used for almost all tests. As the name suggests it is the best balance between testing time and minimizing potential loss.<\/p>\n<p><strong>High certainty<\/strong><br \/>\nBest for revenue-critical tests when you want to absolutely minimize potential loss. Usually takes the longest to conclude a test.<\/p>\n<p>Suppose you have an e-Commerce website and you want to test changes to your checkout flow. You want to be as certain as possible to minimize potential loss from deploying a false winner even if it takes a lot of time. This is the best mode for such critical tests which affect your revenue directly.<\/p>\n<p>&nbsp;[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In October 2015 VWO is launching its new SmartStats which runs on Bayesian statistics. This will provide better understanding on how long to run a test for conversion rate optimization. They do not get into the algorithm but discuss the benefits of being able to view the data in three perspectives (below). In the end [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"In October 2015 VWO is launching its new SmartStats which runs on Bayesian statistics. This will provide better understanding on how long to run a test for conversion rate optimization. They do not get into the algorithm but discuss the benefits of being able to view the data in three perspectives (below).\r\n\r\n<!--more-->\r\n\r\nIn the end I do not think this will affect testing to much but will allow those who do not understand statistics and the phases of an A-B test to read the data clearer and make the right decisions. Too often I see decisions made too quickly in a test and this will help in preventing inaccurate conclusions.\r\n\r\n<a href=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1.jpg\"><img class=\"aligncenter size-full wp-image-307\" src=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1.jpg\" alt=\"conversion testing over time\" width=\"722\" height=\"785\" \/><\/a>\r\n\r\n&nbsp;\r\n\r\n<a href=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo2.jpg\"><img class=\"aligncenter size-full wp-image-308\" src=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo2.jpg\" alt=\"conversion optimization a-b testing over time\" width=\"711\" height=\"418\" \/><\/a>\r\n\r\n<strong>Here are the three modes\u00a0VWO is providing<\/strong>\r\n\r\n<strong>Quick learnings<\/strong>\r\nFor finding quick trends where tests don\u2019t affect your revenue directly\r\n\r\nYou can choose this mode when testing non-revenue goals such as bounce rate and time spent on a page, or for quick headline tests. With this mode you can reduce your testing time for non-critical tests where there isn\u2019t a risk of hurting your revenue directly by deploying a false winner.\r\n\r\n<strong>Balanced<\/strong>\r\nIdeal for most tests.\r\n\r\nThis is the default mode and can be used for almost all tests. As the name suggests it is the best balance between testing time and minimizing potential loss.\r\n\r\n<strong>High certainty<\/strong>\r\nBest for revenue-critical tests when you want to absolutely minimize potential loss. Usually takes the longest to conclude a test.\r\n\r\nSuppose you have an e-Commerce website and you want to test changes to your checkout flow. You want to be as certain as possible to minimize potential loss from deploying a false winner even if it takes a lot of time. This is the best mode for such critical tests which affect your revenue directly.\r\n\r\n&nbsp;","_et_gb_content_width":"","footnotes":""},"categories":[7,18,23],"tags":[682423],"class_list":["post-306","post","type-post","status-publish","format-standard","hentry","category-a-b-testing","category-conversion-rate-optimization","category-landing-page-optimization","tag-blog"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>VWO&#039;s New SmartStats Bayesian Statistics<\/title>\n<meta name=\"description\" content=\"Bayesian statistics provide better understanding on how long to run a test for conversion rate optimization\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ometrics.com\/blog\/vwos-new-smartstats-bayesian-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"VWO&#039;s New SmartStats Bayesian Statistics\" \/>\n<meta property=\"og:description\" content=\"Bayesian statistics provide better understanding on how long to run a test for conversion rate optimization\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.ometrics.com\/blog\/vwos-new-smartstats-bayesian-statistics\/\" \/>\n<meta property=\"og:site_name\" content=\"Ometrics\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Ometrics\/\" \/>\n<meta property=\"article:author\" content=\"http:\/\/www.facebook.com\/ometrics\" \/>\n<meta property=\"article:published_time\" content=\"2015-09-30T17:45:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-06-28T10:22:21+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.ometrics.com\/blog\/wp-content\/uploads\/2015\/09\/vwo1.jpg\" \/>\n<meta name=\"author\" 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