What is Optimizely Web?
Optimizely Web is an experimentation platform that allows you to experiment on any channel or device with an internet connection. Optimizely Web products include Experimentation, Personalization, and Recommendations.
Is Optimizely Web compatible with single page apps (SPAs) and responsive websites?
Yes, Optimizely Web offers enhanced support for SPAs and responsive websites.
Is jQuery required for Optimizely Web?
jQuery isn't required for Optimizely Web. After you have transitioned, you can remove jQuery for a smaller, faster snippet. You can keep jQuery in the snippet if you use it in custom code (like project JS or experiment JS) and don’t have your own version you can reference.
How do I build an experiment in Optimizely Web?
Learn more about building an experiment in Optimizely Web.
What is the difference between campaigns, experiments, experiences, and variations?
Campaigns, experiments, experiences, and variations are all terms related to Optimizely testing, with important distinctions. Read more about the differences between campaigns, experiments, experiences, and variations.
Where can I learn more about Optimizely Web Experimentation?
Attend our live training sessions to learn about migrating to or setting up Optimizely Web Experimentation. Register for a seat in Optimizely Academy.
How do I find my experiment or campaign ID?
You can find the IDs in the "API Names" options when editing a campaign. Learn more about API Names in Optimizely.
What's the difference between multivariate testing (MVT) and running multiple experiments?
Multivariate testing uses the same core mechanism as A/B testing, but compares a higher number of variables, and reveals more information about how these variables interact with one another. Think of it as multiple A/B tests layered on top of each other.
Testing all possible combinations of a multivariate test is also known as full factorial testing, and is one of the reasons why multivariate testing is often recommended only for sites that have a substantial amount of daily traffic — the more variations that need to be tested, the longer it takes to obtain meaningful data from the test. Learn more about the different types of testing.
To effectively do multivariate testing, you need a significant level of traffic. More often than not, simply running multiple A/B tests on a page (or across several pages) will be sufficient to answer your hypothesis and will reach statistical significance more quickly.
How do event tracking and network requests work in Optimizely?
Here's more information about how Optimizely handles event tracking and network requests.
How does Optimizely count conversions?
Optimizely counts conversions based on unique visitors to your page, meaning that regardless of how many times a user triggers a conversion, Optimizely will count it as one visitor and one conversion.
If the visitor doesn’t trigger the conversion goal the first time he or she visits the site, but does so during a subsequent visit while the experiment is still running, the experiment still counts the conversion.
How fresh are my results?
Results are typically available within 5 to 10 minutes of Optimizely receiving the data. Read our article about data freshness to learn more.
How do I set up 2-step verification?
Individual 2-step verification increases the security of an Optimizely account by adding a second level of authentication when signing in. Instead of relying only on a password, individual 2-step verification requires you to enter a code that you access from their mobile phones. That way, you can rest easy knowing that the account is protected, even if your password is compromised.
This topic walks you through how to enable and disable individual 2-step verification in your personal settings. This option is available to any collaborator on any account.
If you're an administrator for the account, you can also require that all collaborators on the account use 2-step verification.
This article walks you through how to enable the account-level 2-step verification requirement.
What is the difference between publishing and starting an experiment or campaign?
Essentially, publishing saves a new experiment or changes to an existing experiment, whereas starting exposes a published experiment to the specified audience.
There's a bit more to it though. See Differences among publish, start, and pause for details.