Creating Control Groups and Allocating Traffic
Posted: Mon Dec 23, 2024 4:31 am
You need to be able to easily compare and optimize variations. We've added an additional tab when you create a personalization rule called "Testing & Optimization" as shown above.
When you click the "Testing & Optimization" tab you will cell phone lists be presented with an easy to use traffic distribution bar and a few other options.
As you can see, you are able to control how much traffic each variation receives.
You can divert any percentage of traffic to the original action, any of the variations you've created, or the control group.
Note that Barilliance automatically creates a control group for you. All you need to do is allocate some traffic to the control group by adjusting the bar, and the control will be generated automatically.
The control group is simply visitors who match the segment your rule is targeting. They are not shown the rule, or any variation you created, allowing you to see the direct impact of implementing the rule compared to doing nothing.
You can readjust the traffic weight at any time.
Setting Up Rule Goals and Machine Learning Optimization
Personalization software tools can be used to increase engagement, revenues, or any number of benefits.
The truth is, not every rule will have the same criteria of success. Because of this, we’ve built in a number of ways to determine if a rule is working. We've put together a list of successful AB test experiments here.
When you click the "Testing & Optimization" tab you will cell phone lists be presented with an easy to use traffic distribution bar and a few other options.
As you can see, you are able to control how much traffic each variation receives.
You can divert any percentage of traffic to the original action, any of the variations you've created, or the control group.
Note that Barilliance automatically creates a control group for you. All you need to do is allocate some traffic to the control group by adjusting the bar, and the control will be generated automatically.
The control group is simply visitors who match the segment your rule is targeting. They are not shown the rule, or any variation you created, allowing you to see the direct impact of implementing the rule compared to doing nothing.
You can readjust the traffic weight at any time.
Setting Up Rule Goals and Machine Learning Optimization
Personalization software tools can be used to increase engagement, revenues, or any number of benefits.
The truth is, not every rule will have the same criteria of success. Because of this, we’ve built in a number of ways to determine if a rule is working. We've put together a list of successful AB test experiments here.