{"id":26110,"date":"2024-01-15T13:45:00","date_gmt":"2024-01-15T12:45:00","guid":{"rendered":"https:\/\/www.trbo.com\/?p=26110"},"modified":"2025-05-12T16:51:21","modified_gmt":"2025-05-12T14:51:21","slug":"the-abc-of-testing-all-you-need-to-know-about-a-b-testing","status":"publish","type":"post","link":"https:\/\/www.trbo.com\/de\/blog\/the-abc-of-testing-all-you-need-to-know-about-a-b-testing\/","title":{"rendered":"Das Testing ABC: Alles, was du \u00fcber A\/B-Tests wissen musst"},"content":{"rendered":"

Du m\u00f6chtest deinen Onlineshop benutzerfreundlicher gestalten, wirkungsvolle Kampagnen ausspielen oder das Design deines Shops \u00e4ndern? Dann sind A\/B-Tests eine effektive Methode, um mit wenig Aufwand zwei Versionen miteinander zu vergleichen. Die Ergebnisse erm\u00f6glichen es dir, eine datenbasierte Entscheidung zu treffen, die f\u00fcr dein Unternehmen gewinnbringend ist. <\/p>\n\n\n\n

Du wei\u00dft bisher noch nicht so viel \u00fcber Testing? Kein Problem! Wir haben dir hier die wichtigsten Fakten \u00fcber A\/B-Tests zusammengefasst.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Was ist A\/B-Testing?<\/h3>\n\n\n\n

Kurz gesagt ist A\/B-Testing der Vergleich zwischen zwei Versionen einer Ma\u00dfnahme auf einer Website. Dabei soll festgestellt werden, welche der beiden Varianten besser abschneidet. Die Testgruppen werden zuf\u00e4llig aufgeteilt. Das Ziel eines A\/B-Tests ist es, eine datengest\u00fctzte Entscheidung zu treffen, um die Usability der Website oder die User Experience zu verbessern.<\/p>\n\n\n\n

<\/div>\n\n\n\n

So funktionieren A\/B-Tests<\/h3>\n\n\n\n

Wie jeder Test beginnt auch der A\/B-Test damit, eine Variable festzulegen, die getestet werden soll. Das kann die Farbe eines Buttons sein, bis hin zu verschiedenen Versionen einer Produktbeschreibung \u2013 A\/B-Tests eignen sich f\u00fcr nahezu alles. Hat man sich f\u00fcr ein Element entschieden, wird nun eine Hypothese festgelegt. Zum Beispiel: \u201cDurch das \u00c4ndern der Buttonfarbe wird die Conversion Rate steigen\u201d. Es sollte dir bereits vor dem Aufsetzen des Tests klar sein, was du durch eine Ver\u00e4nderung erreichen m\u00f6chtest. Nur so kannst du sicherstellen, dass du auch Ergebnisse bekommst, anhand derer du deine Hypothese best\u00e4tigen oder ablehnen kannst. <\/p>\n\n\n\n

Anschlie\u00dfend wird die Zielgruppe definiert. Bei A\/B-Tests ist das immer die Nullgruppe oder auch Kontrollgruppe, die die aktuelle Version ausgespielt bekommt und die Testgruppe, die die neue Variante angezeigt bekommt. Au\u00dferdem wird ein Zeitraum festgelegt, in dem der Test laufen soll. Wie lange der Test laufen muss, um ein eindeutiges Ergebnis zu bekommen, h\u00e4ngt von unterschiedlichen Faktoren ab. Zum Beispiel vom Traffic auf der Website, von Ereignissen wie Feiertagen, von der Art des Tests oder auch davon, wie gro\u00df der Unterschied zwischen den Varianten ist. Um Verf\u00e4lschungen der Daten zu vermeiden, ist es immer wichtig, nie mehrere Tests auf einmal im Onlineshop laufen zu lassen. Sobald die Ergebnisse signifikant sind, kann der Test ausgewertet werden. Die Signifikanz im Testing legt fest, wie wahrscheinlich es ist, dass der Zusammenhang zwischen den zwei Varianten nicht nur willk\u00fcrlich ist. Je h\u00f6her sie ist, desto unwahrscheinlicher handelt es sich um einen Zufall. Dabei kannst du die Zahlen von wichtigen KPIs wie die Click-Through-Rate, die Conversion Rate oder den User Value heranziehen.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Wieso solltest du auf A\/B-Tests setzen? <\/h3>\n\n\n\n
    \n
  • Conversion Rate Optimierung:<\/strong>
    Durch das Testen verschiedener Varianten findest du heraus, welche auf deiner Website zu mehr Conversions f\u00fchrt. Ganz egal, ob du damit den Abschluss eines Kaufs, das Ausf\u00fcllen eines Formulars oder eine andere gew\u00fcnschte Handlung erzielen m\u00f6chtest.
    <\/li>\n<\/ul>\n\n\n\n
    <\/div>\n\n\n\n
      \n
    • Verbesserung der Benutzererfahrung:<\/strong>
      Testest du unterschiedliche Designelementen oder Funktionalit\u00e4ten auf deiner Website, kannst du herausfinden, was die Benutzerfreundlichkeit deines Onlineshops verbessern kann. Dadurch steigerst du die Zufriedenheit deiner Kunden und st\u00e4rkst die Bindung zu deiner Marke.<\/li>\n<\/ul>\n\n\n\n
      <\/div>\n\n\n\n
        \n
      • Personalisierung:<\/strong>
        Nicht jede Zielgruppe ist gleich gestrickt. Um f\u00fcr jeden User eine ma\u00dfgeschneiderte Nutzererfahrung zu erm\u00f6glichen, kannst du auf A\/B-Tests zur\u00fcckgreifen. So kannst du personalisierte Inhalte optimieren und deinen Kunden genau das zeigen, was sie interessiert.<\/li>\n<\/ul>\n\n\n\n
        <\/div>\n\n\n\n

        Wann ist der Einsatz sinnvoll?<\/h3>\n\n\n\n

        Grunds\u00e4tzlich ist der Einsatz eines A\/B-Tests immer dann sinnvoll, wenn nur kleine \u00c4nderungen im Webshop vorgenommen werden sollen. Gerade wenn du neue Funktionen oder ein neues Design f\u00fcr einzelne Elemente umsetzen m\u00f6chtest, k\u00f6nnen dir A\/B-Tests behilflich sein. Aber auch wenn es um die richtige Platzierung oder Gestaltung von bestimmten Kampagnen geht, kann Testing Licht ins Dunkel bringen. <\/p>\n\n\n\n

        Allgemein bieten dir A\/B-Tests eine datenbasierte M\u00f6glichkeit, um deine Entscheidungen sicherer zu treffen. Durch das kontinuierliche Testen deiner Ma\u00dfnahmen kannst du zahlreiche KPIs in deinem Webshop verbessern, die Zufriedenheit deiner Kunden steigern und so die Kundenbindung langfristig st\u00e4rken. Denn nur weil eine Variante besser abgeschnitten hat als die andere, hei\u00dft es nicht, dass sie f\u00fcr immer die Sieger-Version bleiben wird.<\/p>\n\n\n\n

        <\/div>","protected":false},"excerpt":{"rendered":"

        Do you want to make your online shop more user-friendly, run effective campaigns, or change the design of your shop?…<\/p>","protected":false},"author":41,"featured_media":26168,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[60,42,43],"tags":[808,189,177,45,284,809],"class_list":["post-26110","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-a-b-testing","category-blog","category-knowledge","tag-a-b-testing-2","tag-conversion-rate","tag-customer-experience","tag-optimization","tag-testing","tag-usablility"],"acf":[],"yoast_head":"\nThe ABC of Testing: Everything You Need to Know About A\/B Testing | trbo<\/title>\n<meta name=\"description\" content=\"In our trbo blog series, we introduce you to the different types of testing and reveal many other interesting facts. 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