{"id":12649,"date":"2021-08-23T18:17:00","date_gmt":"2021-08-23T18:17:00","guid":{"rendered":"https:\/\/e-dialog.group\/blog\/newsletter-ab-testing-how-to-achieve-higher-opening-038-click-rates\/"},"modified":"2026-02-26T13:37:54","modified_gmt":"2026-02-26T13:37:54","slug":"newsletter-ab-testing-how-to-achieve-higher-opening-038-click-rates","status":"publish","type":"post","link":"https:\/\/e-dialog.group\/en\/blog\/newsletter-ab-testing-how-to-achieve-higher-opening-038-click-rates\/","title":{"rendered":"Newsletter Ab Testing How To Achieve Higher Opening 038 Click Rates"},"content":{"rendered":"<h2>A\/B testing<\/h2>\n<p>With A\/B testing (AB testing or A\/B split testing), your email marketing tool is used to determine the better of two or more newsletter or mailing versions. A\/B tests offer countless opportunities to optimize your newsletter and continually learn from the results of the tests for future mailings.<\/p>\n<p>The most important A\/B tests include:<\/p>\n<ul>\n<li>Subject testing<\/li>\n<li>Content testing<\/li>\n<li>Testing the shipping time, etc.<\/li>\n<\/ul>\n<p>If the sending group is large enough (at least 1,000 recipients per group), it is recommended to send one each newsletter<a href=\"https:\/\/e-dialog.group\/blog\/conversion-optimierung\/ab-test-fundierte-entscheidungsgrundlage-statt-ratespiel\/\">A\/B testing<\/a>to carry out. Through ongoing testing, you&rsquo;ll ultimately learn what works and what doesn&rsquo;t for your recipient group.<\/p>\n<h2>A\/B testing: How it works<\/h2>\n<p><strong>Professional email marketing tools<\/strong>offer the possibility to carry out automatic A\/B or split tests. The<strong>Size of the test group<\/strong>, the<strong>Parameter for goal achievement<\/strong>and the<strong>Shipping time<\/strong>are determined by the sender, everything else is automatic. All you have to do after that is wait for the result of your test and draw conclusions from it.<\/p>\n<p>Here is an example: You want to test 2 versions of a subject against each other and set in the email marketing tool that 25% of the recipients should receive the 1st version and 25% the 2nd version. Since the quality of the subject provides information about the level of the opening rate, the opening rate is defined for the test as a parameter for achieving the goal. As soon as the tool has calculated a significant result (unfortunately not all tools can do this) or after a time defined by you, the better of the two versions will automatically be sent to the remaining recipients (50%). In the case of subject testing, the better version is the one that achieved a higher open rate.<\/p>\n<h2>The benefits of A\/B testing<\/h2>\n<ul>\n<li>More performance with the same effort.<\/li>\n<li>With each significant test result, conclusions can be drawn about the preferences of the newsletter recipients.<\/li>\n<li>The results of a test provide assistance in designing future newsletters. What performed well will continue to be tested &ndash; what has performed poorly will be avoided in the future.<\/li>\n<li>Without testing, you might have sent the &ldquo;worse&rdquo; version to all recipients. Going back to the example above, the test allowed you to send at least 75% of the recipients the better version.<\/li>\n<\/ul>\n<h2>A case study: A\/B content testing<\/h2>\n<p>At a<strong>Content testing<\/strong>Two or more newsletters or emails are compared that are each other<strong>differ from each other in content<\/strong>&ndash; this can be done by others, for example<strong>Images, wording, formatting, etc.<\/strong>be. The following case study from e-dialog deals with a simple content test for a hotel. Can&rsquo;t tell the difference between the two newsletters in the pictures at first glance? This example requires you to take a closer look. It was tested<strong>Underlining the text links<\/strong>&ndash; once underlined, once not underlined.<\/p>\n<p><img decoding=\"async\" width=\"800\" height=\"545\" src=\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/08\/Newsletter-A-B-Test_mit-vs.-ohne-unterstrichene-Links.jpg\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/08\/Newsletter-A-B-Test_mit-vs.-ohne-unterstrichene-Links.jpg 1024w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/08\/Newsletter-A-B-Test_mit-vs.-ohne-unterstrichene-Links-300x204.jpg 300w, https:\/\/e-dialog.group\/wp-content\/uploads\/2025\/08\/Newsletter-A-B-Test_mit-vs.-ohne-unterstrichene-Links-768x524.jpg 768w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\"><\/p>\n<p>Since the click rate represents a performance indicator for the content of a newsletter, this was set as a criterion for achieving the goal. With this measure, the A\/B content test was able to achieve a 100% increase in the click rate in the variant<strong>with underlined text links<\/strong>effect. Ie this version moved the recipients to do so<strong>100% more frequent access to the links<\/strong>than in the newsletter without underlined links.<\/p>\n<p>How do you proceed? Are you already testing or are you still shipping randomly and what experiences have you had with A\/B testing?<br>You are now full of enthusiasm, want to get started right away, but don&rsquo;t know how &ndash; then we would be happy to help you increase the opening and click rates of your newsletter with the help of the right tests!<\/p>\n<h3>Simply contact us via<a href=\"mailto:kontakt@e-dialog.group\">kontakt@e-dialog.group<\/a><\/h3>\n","protected":false},"excerpt":{"rendered":"<p>Imagine coming up with the best subject lines and the best content ever written for your newsletters &#8211; only to find that despite the well-chosen words, no one opens your newsletters. A sad idea that is becoming a reality for some newsletter campaigns every day. In these cases, our perception of an appealing formulation often does not match the recipient&#8217;s expectations.<\/p>\n<p>So that something like this doesn&#8217;t happen to you and your newsletters are opened and read, we present a simple and popular method for testing different newsletter versions.<\/p>\n","protected":false},"author":1,"featured_media":4804,"comment_status":"closed","ping_status":"open","sticky":false,"template":"post-old.php","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5,446],"channel":[454],"goal":[461,462],"technology":[44],"c-year":[73],"class_list":["post-12649","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","category-campaigns","channel-email","goal-optimize-creatives","goal-personalize-the-customer-journey","technology-ux","c-year-73"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Newsletter Ab Testing How To Achieve Higher Opening 038 Click Rates - e-dialog<\/title>\n<meta name=\"description\" content=\"Imagine coming up with the best subject lines and the best content ever written for your newsletters - only to find that despite the well-chosen words, no one opens your newsletters. 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So that something like this doesn&#039;t happen to you and your newsletters are opened and read, we present a simple and popular method for testing different newsletter versions.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/e-dialog.group\/en\/blog\/newsletter-ab-testing-how-to-achieve-higher-opening-038-click-rates\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Newsletter Ab Testing How To Achieve Higher Opening 038 Click Rates\" \/>\n<meta property=\"og:description\" content=\"Imagine coming up with the best subject lines and the best content ever written for your newsletters - only to find that despite the well-chosen words, no one opens your newsletters. A sad idea that is becoming a reality for some newsletter campaigns every day. 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