Performance Edge enables you to quickly make changes to your site using a Visual Editor, much like you do with Web. There are also important differences to note, which are highlighted in blue below.
To get started:
- Navigate to the Experiments dashboard and click Create New.
- From the dropdown, select A/B Test.
- Name your experiment. Try a descriptive name like "Homepage hero test."
- Add the URL of the page where you'll run your experiment.
Below, we'll cover the six steps you'll use to build and publish an experiment.
We recommend using Saved Pages, instead of creating a new URL every time.
This will also save the step of creating a multi-page experiment.
Use URL Targeting conditions to tell Optimizely where you would like your experiment to run.
You can set up URL Targeting for this experiment specifically, or create a page in Optimizely that acts as a template that can be reused in future experiments.
- Navigate to URL Targeting.
- In the Editor URL field, specify the URL that you want to load in the Visual Editor.
- Use URL match to define a pattern of URLs where your experiment will run. This can be a single URL, a pattern of URLs, or a global URL.
- Optional. In the upper right, select Save as Page to make this reusable.
- Save your targeting conditions.
In Web experiments, you can use a combination of page triggers and conditions to tell Optimizely when to activate a page. These options are useful for single-page applications (SPAs). In Performance Edge experiments, pages always activate immediately.
Please note that hashes (#) are not supported in URL match targeting in Performance Edge. Hash parameters in URLs are not sent to the Edge Decider, which means it will not be able to properly evaluate URL match targeting that requires matching or excluding hashes.
Optimizely's Visual Editor is a WYSIWYG editor that loads your website and enables you to easily make visual and text changes to the page.
- Select a variation that you want to edit.
- Click Create Change.
Using the Visual Editor:
Element Change: You can make changes to existing elements on the page, much like you would with Web experiments.
Edit text and HTML
Rearrange the layout of elements
Change the background
Change the border
Edit styling and add CSS
Track clicks to specific elements
Insert HTML: You can add a new element, such as text on the page, by inserting HTML.
Save the changes to your variation. They won't be visible to visitors until you publish the experiment.
Audiences allow you to decide who is eligible to see your experiment.
- Navigate to Audiences.
- Select Create New Audience.
- Name your audience.
- Drag and drop conditions to define who is eligible to enter your experiment. You can combine multiple audiences in your experiment using AND and OR conditions. To learn more, check out our article on setting up Audiences in Optimizely.
In Web experiments, you can create audiences out of a large set of out-of-the-box conditions, such as new/returning users and traffic source. In Performance Edge, audience conditions are evaluated at the edge of the CDN, so you can target experiments based on browser, cookie, device type, IP address, location and query parameters.
Metrics enable you to measure success for your experiment. If the changes in your variation are successful, what will you measure to show improvement?
Metrics are built out of events, or visitor actions, that you track on your page. You can create a metric from an existing event or create a new event for the experiment.
- Navigate to Metrics.
- Select Create New Event to define a new event for the page. Or, click to add an existing event.
- Save your metrics.
The first metric you add is the primary metric for the experiment. This metric determines whether your experiment "wins" or "loses," and should track an event that's directly affected by the changes you make in your experiment. Optimizely's Stats Engine makes sure that the primary metric reaches statistical significance as quickly as possible. You can also add secondary metrics to measure the downstream effects of your experiment.
Traffic distribution allows you to specify how traffic will be split between your variations. Optimizely randomly allocates traffic into different variations, including the original.
- Traffic allocation: You can specify the total traffic that goes into the experiment as a whole.
- Variation traffic distribution: You can specify the percentage of traffic that goes into each variation. We don't recommend changing your variation traffic distribution while an experiment is running, as this can affect your results.
After you’ve set up all components of your experiment, preview it to make sure it looks and works the way you intend.
- QA your experiment.
- When everything looks and works the way you'd like, click Start Experiment to set the experiment live for visitors.
Congratulations! You've created and launched an experiment with Performance Edge.
Updated 9 months ago