- Optimizely Web Experimentation
- Optimizely Performance Edge
- Change the percentage of total traffic that's eligible to enter your experiment
- Change what percentage of your experiment traffic sees each variation
- Stop a variation
Traffic allocation is the fraction of your total traffic to include in the experiment, specified as a percentage. By default, Optimizely Experimentation allocates 100% of visitors to experiments and distributes traffic equally among variations.
You can reallocate and redistribute traffic, which is described in this document.
It is recommended that you do not change the traffic allocation of a running experiment.
For information on how to send all traffic to a winning variation in an experiment, see this article.
If you use Optimizely Performance Edge, certain features described in this article behave differently than in Optimizely Web Experimentation. Optimizely Performance Edge is a lightweight experimentation product that delivers significantly faster performance than previous versions of Optimizely Experimentation. It does this by relying on a streamlined "microsnippet" which limits the range of available features.
You will see this notation whenever the text describes a feature that works differently in Optimizely Performance Edge than it does in Optimizely Web Experimentation.
Re-allocate and re-distribute traffic
To change traffic allocation and distribution for variations in Optimizely Experimentation:
Go to Experiments and select your experiment.
Click Traffic Allocation and adjust the values as desired.
You can also change your traffic allocation and distribution directly from the Results page. Click Edit Experiment > Traffic Allocation.
If you are using Optimizely Performance Edge, a change to a single variation’s traffic distribution could result in all visitors being re-bucketed. For that reason, changing the traffic for a live experiment in Optimizely Performance Edge is strongly discouraged.
In the Traffic Allocation dialog, under Experiment Traffic Allocation, change the percentage of eligible visitors who enter your experiment. If you choose 50%, half of the visitors who land on your page and meet your audience conditions will enter the experiment and be tracked in results.
Under Variation Traffic Distribution, you can adjust the percentage of traffic that will be bucketed into a particular variation. For example, if you have four variations and the traffic is distributed equally, each new visitor has a 25% chance of being placed into each variation.
Changes to traffic distribution will only affect new visitors. Existing visitors (whether or not they were bucketed in a variation) will keep seeing the same variation, even after you change traffic distribution. Visitors who are excluded from the experiment will always be excluded.
Stopping variations completely, however, can potentially affect all visitors. If, for example, you were to stop a variation in a Web experiment, returning visitors who have previously been bucketed into an experiment will not see the variation to which they had been assigned, and will instead get the same experience as everyone else.
Unlike Optimizely Web Experimentation, Optimizely Performance Edge does not use sticky bucketing. If you were to set traffic allocation of a particular variation to zero in an Optimizely Performance Edge experiment, returning visitors who have previously been bucketed into an experiment would not see the variation they would originally be assigned and instead will be re-bucketed into another variation.
If you are changing the traffic allocation from a previously published traffic allocation, Optimizely Experimentation adds a yellow "changed" label indicating that this traffic allocation has not been published yet.
Click Publish Experiment for the new traffic allocation to take effect.
Changing traffic allocation may affect your experiment results and make it difficult to interpret them correctly.
Stop a variation
You can stop sending traffic to a specific variations during an experiment. In the Traffic Allocation view for a variation, click Stop next to the variations you would like to stop.
If you stop a variation (as opposed to setting traffic distribution to 0%), it has the following effects:
In Optimizely Web Experimentation, any visitor who was bucketed into the stopped variation is not bucketed into any other variation in the same experiment. Stopping a variation removes visitors who are bucketed into that variation from the same experiment.
In Optimizely Performance Edge, visitors who were bucketed into the stopped variation are re-bucketed into another variation in the experiment.
No new visitors will see the stopped variation.
Visitors who were in the variation before it was stopped are tracked in your results until they visit a page that is targeted by the experiment. After that point, their conversions are no longer tracked.
Stopping a variation removes visitors bucketed to that variation from the experiment cohort.
You might stop variations for a few days before archiving when a longer conversion window is expected, so you can gather the full set of results after an experiment ends.
You can also duplicate the experiment, pause the original experiment, and run the newly duplicated experiment to force all previous visitors to be redistributed into a new experiment. Before running the new duplicated experiment, allocate traffic to variations as you like.