In the dashboard, you can c

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lick on a rule name. When you do, a breakdown of the rule and it's variations are laid out in table format. You can compare how they effect bounce rate, click through rate, conversions, revenue, and goal completion.



We also graphically represent the rule and variation t cell phone lists o quickly see what is working and what is not.


The above example is of a simple pop-up offering a discount.



As you can see in the top left, the metric chosen as the goal is Conversion Rate. The dashboard dynamically updates to illustrate how the conversion rates compare between the personalization rule and control group.


We can see that the personalization rule has a significantly higher conversion rate, 20% higher than the control group.

You can also easily compare revenue and AOV numbers in the same pane.

In this case, while the conversion rate went up by 20%, the AOV decreased by 7%.

Next Steps...
Multivalent testing can produce amazing results.



We've made it easy to create distinct variations, and automatically optimize your personalization strategy to multiply revenues and engagement.