1. You'll see Variation 1 of your A/B test page in the EDITOR page by default.
PageSense provides you with options to create, rename, and duplicate variations in the Editor window. To create a new variation, click the Variation dropdown and then click Add New Variation.
2. Hover your mouse anywhere on the rendered web page to highlight the various elements of your page.
3. Once you are done making changes to your variation, click Save and then Next in the top-right corner to set up goals in your experiment.
1. Click the + New Goal button in the GOALS page to add a new goal to your variation page.
Elements Clicks: Tracks conversions when a visitor clicks on a specific element on your web page. Learn more about creating an element click goal.
Link Clicks: Tracks conversions when a visitor clicks on a particular link on your web page. Learn more about creating a link click goal.
Page Views: Tracks conversions when a visitor visits a specific page URL. Learn more about creating a page views goal.
Revenue: Tracks conversions for the purchases made and revenue generated per visitor for each variation. Learn more about setting a revenue goal.
Time Spent on Page: Tracks conversions based on the average time spent by visitors on your web page. Learn more about creating a time spent goal.
Engagement: Tracks conversions when a visitor clicks on any of the elements or links on a web page. Learn more about creating an engagement goal.
Custom Event: Tracks conversions when a visitor achieves a specific event or set of events on your web page. Learn more about creating a custom event goal.
3. Click Save and then Next in the top-right corner to save the goals for your chosen variation.
1. Use the Segment Traffic slider on the CONFIGURATION page to allocate the percentage of traffic that you want to enter into the variation and original versions of your A/B experiment.
Bayesian method: This method calculates the probability of A performing better than B.
Frequentist method: This statistical method only tells you if A will beat B, but not the probability of A performing better than B.
Quick trends: This method is ideal for testing non-revenue related goals such as quick headline tests or CTA clicks. It provides quick results in a shorter testing time and gives a statistical significance of 90%.
Optimal: This method is ideal for all kinds of experiments and provides fairly accurate results in a moderate testing time. It gives a statistical significance of 95%.
High accuracy: This is best for critical experiments that affect your revenue directly and provides highly accurate results with a longer testing time. It gives a statistical significance greater than 99%.
3. Move on to the Experiment Activation Mode section to choose when you want to show the variation to your audience as follows:
Activate when the page loads: This is the default option used to trigger the experiment as soon as the page loads.
Activate manually: This option is used to manually activate the test based on the custom code placed on your web page. Copy and paste the snippet code shown on the screen to the exact location on your webpage where you want to activate the experiment.
4. You can also enable or disable the following options in your experiment:
Generate heatmap reports: Enable the Heatmap button to see visitor engagement across different sections of your variation and original pages. Learn more about heatmaps here.
Schedule an experiment: Use the calendar to choose a specific date to launch your experiment.
Connect with third-party tools: This option allows you to integrate your PageSense projects with other third-party applications like Google Analytics and Intercome to access and read your A/B test reports in your preferred tool. Learn more about integrating PageSense with third-party applications here.
5. Click Next to go to the SUMMARY tab.
2. You can now evaluate the test using the following options:
The SUMMARY page gives you an overview of your experiment's configuration options such as the number of variations created, goals added, targeted audience segments, and other settings you have made.
To launch your A/B test:
1. Click Launch in the top-right corner to launch your experiment.
2. Once your experiment is launched, a new REPORTS tab will appear next to the SUMMARY tab.
The EDITOR, GOALS, VARIATION, and CONFIGURATION tabs will be hidden when the experiment is running. However, if you wish to make changes to your experiment, click the Pause button, make the required edits, and then click Relaunch to run the experiment again.
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