Use Split URL testing when you want to test multiple versions of your web page hosted on different URLs. This type of test is considered best when you notice several deficiencies in your existing page that might affect conversion. In such cases, it's often easier to build a whole new page for testing, rather than trying to modify the existing one.
1. In the GOALS page, click + New Goal button to add a new goal to your variation page.
2. You can choose any of the goal types from the list of options on the left pane:
Link Clicks: Tracks conversions when a visitor clicks on a particular link on your web page. Learn more about creating a link clicks goal.
Revenue: Tracks conversions for purchases made and revenue generated per visitor on 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 the chosen variation.
2. Choose a specific group of visitors you want to target this variation to based on their behavior, location, devices used, and other parameters in theTarget Audience section.
3. Click Next to move on to the CONFIGURATION tab of the experiment.
2. Choose your preferred statistical method to run in the Set Experiment Method section and evaluate your Split URL test results. Zoho PageSense provides two types of experiment methods:
Bayesian method: This method calculates the statistical likelihood 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. Choose when you want to trigger the variation to your audience in the Experiment Activation Mode section as follows:
Activate when the page loads: This is the default option that will trigger the experiment as soon as the page loads.
Activate manually: This option will trigger the experiment when a snippet code that you place directly onto your site or within your app is executed. PageSense provides you with a sample code and you will need to replace the snippet code with the custom code that will activate your experiment according to your specific requirements.
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.
Schedule an experiment: Use the calendar to choose a specific date to launch your experiment on.
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 Split URL test reports within your preferred tool.
5. Click Next to be taken to the SUMMARY tab.
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.
1. Click Launch in the top-right corner to launch your experiment.
2. Once your experiment is launched, a new tab called REPORTS will appear next to the SUMMARY tab.
The EDITOR, GOALS, VARIATION, and CONFIGURATION tabs will be hidden when the experiment is running. If you wish to make changes to your experiment, click the Pause button to make the required edits and then click Relaunch to run the experiment again.
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