{"id":23931,"date":"2020-03-25T16:07:40","date_gmt":"2020-03-25T16:07:40","guid":{"rendered":"https:\/\/trbocom.wpengine.com\/glossary\/user-buckets-2\/"},"modified":"2025-02-25T13:05:58","modified_gmt":"2025-02-25T12:05:58","slug":"user-buckets-2","status":"publish","type":"glossar","link":"https:\/\/www.trbo.com\/de\/glossary\/user-buckets-2\/","title":{"rendered":"User Buckets"},"content":{"rendered":"<p class=\"p1\"><span class=\"s1\">User buckets, or buckets for short, describe user attributes that result from a random equal distribution of users in <a href=\"https:\/\/trbo.com\/en\/glossary\/segmentation\" target=\"_blank\" rel=\"noopener noreferrer\">Zielgruppensegmente<\/a>. Their allocation results in several identical target groups that differ only in the value of the bucket.<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">The value or number of buckets is not firmly defined and varies depending on the tool used. For example, some tools allow a value division of 1 &#8211; 100 or more. User buckets are often used in <a href=\"https:\/\/trbo.com\/en\/glossary\/a-b-testing\" target=\"_blank\" rel=\"noopener noreferrer\">A\/B-<\/a> oder <a href=\"https:\/\/trbo.com\/en\/glossary\/multivariate-testing\" target=\"_blank\" rel=\"noopener noreferrer\">multivariate tests<\/a> in order to compare the results of several variants with the same target groups.<\/span><\/p>\n<p class=\"p1\"><strong><span class=\"s1\">Beispiel:<\/span><\/strong><\/p>\n<p class=\"p1\"><span class=\"s1\">Three different variants (A,B and C) of a <a href=\"https:\/\/trbo.com\/en\/glossary\/layer\" target=\"_blank\" rel=\"noopener noreferrer\">layer<\/a> are to be tested on identical target groups. Additionally, a control group is to be added.<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">Assuming an equal distribution in 16 buckets, buckets 1-4 fall into segment A (layer variant A), buckets 5-8 fall into segment B (layer variant B), buckets 9-12 fall into segment C (layer variant C) and buckets 13-16 fall into segment D. This last segment is defined as the control group.<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">In a comparative test, such as the multivariate test, it is then possible to determine which campaign is most effective. In addition, a possible uplift can be identified by the control group.<\/span><\/p>\n<p class=\"p1\"><span class=\"s1\">In contrast to a percentage distribution, in which the user moves from one segment to another, users remain in a bucket once they first fall into it. From this point on, the user will always see the same campaign over and over again, unless the distribution of buckets is redefined. At the same time, users in the control group will never be addressed by a campaign.<\/span><\/p>","protected":false},"template":"","resource_original_language":[711],"class_list":["post-23931","glossar","type-glossar","status-publish","hentry","resource_original_language-en-original"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Glossary: User Buckets | trbo<\/title>\n<meta name=\"description\" content=\"User buckets group users into fixed segments for A\/B and multivariate testing, ensuring consistent targeting and accurate comparisons.\" \/>\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.trbo.com\/de\/glossary\/user-buckets-2\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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