Experiment types & delivery — found from sitemap — AB Tasty

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Facts read from this source

• Ab test definition Report an error

  “An A/B Test consists of modifying one element on one page (e.g. homepage, basket page, etc.) or a string of equivalent pages that share the same layout”

• Ab test creation steps Report an error

  “Step 1: Main information Step 2: Editor Step 3: Goals Step 4: Targeting Step 5: Traffic allocation Step 6: Advanced options Step 7: QA”

• Editors available Report an error

  “With the visual editor With the Visual Editor, you can make simple modifications such as changing the color of a button, replacing an image, changing the wording of an element.”

• Code editor Report an error

  “The Code Editor enables you to declare your code (JavaScript, CSS) without having to load the Visual Editor.”

• Action tracking Report an error

  “If it is clickable, always put an action tracking on the element you modify.”

• Primary goal Report an error

  “As the primary goal enables you to determine which variation takes precedence over the others, you should choose the action tracking related to the element you have modified.”

• Targeting options Report an error

  “You have to declare WHERE your campaign should be visible on your website (e.g. on every page, on specific pages, on only one page, etc.), for WHOM (e.g. your whole traffic, mobile users only, etc.), and in WHICH conditions (e.g. after a certain number of pages, when it’s cold outside, etc.)”

• Default traffic allocation Report an error

  “By default, traffic allocation is set equally for each variation (50/50 for an A/B test, 33/33/33 for an A/B/C, etc.). For statistical reasons, it is recommended to not make uneven traffic allocation.”

• Third party tool integration Report an error

  “Enable the third party tool(s) you have connected to AB Tasty to send your test data to your tool.”

• Loading method selection Report an error

  “Select a loading method for your campaign.”

• Sequential testing Report an error

  “Activate Sequential testing to detect if your experiment will not be successful at all based on the results of your primary goal (if it is based on a Conversion/Transaction Rate).”

• Qa capabilities Report an error

  “The QA allows you to verify and test in real condition : - the targeting configuration - the tracking - the modifications you've made”

• Scheduling Report an error

  “If you want to launch your A/B Test at a specific hour on a specific day, and/or if you want to pause it at a specific hour on a specific day, see our guide on scheduling.”

• Hypothesis field Report an error

  “We recommend establishing a hypothesis of your test according to the following model: If I apply [this change on my webpage] to [this audience], then [it will impact] and enables to enhance [this goal]. And to add it in the hypothesis field.”

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