Next, you can confirm which variation is the winner (i.e. which variation performed best in terms of your primary metric). This gives you a leading candidate for the version you’ll eventually roll out to all your site visitors at an early stage of the analysis.
Next, you should examine your test results on many different measures of customer behavior.
Although comparing conversion rates is essential, philippines girls whatsapp number especially since they’re usually the KPI used as the primary metric for A/B testing, it’s not enough on its own.
You should consider other factors in order to gain a well-rounded understanding of your web pages and marketing campaigns, including your click-through rate, time spent on page, and revenue generated.
When deciding on the metrics for an A/B test, it’s important to align them with your specific goals and objectives for the test.
The chosen metrics should be relevant to the test, measurable, and directly linked to the goals you have set for the experiment.
By selecting metrics that are meaningful and aligned with your desired outcomes, you can effectively evaluate the success of your A/B test and make informed decisions based on the results.
3. Segment your audience for further insights
Segmentation is a powerful tool for understanding how different groups of users respond to your variations.
