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Get started with Optimizely Web Experimentation
Optimizely Web Experimentation Optimizely Web Experimentation https //www. optimizely.
Optimizely Web Experimentation resources
Optimizely Web Experimentation If this is your first time using Optimizely Web Experimentation, see Get started with Optimizely Web Experimentation . For help with implementing Optimizely Web Experimentation on your website, see the following articles Implement the one-line JavaScript snippet .
The difference between publish, start, and pause
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Personalization Throughout your experimentation process, you can publish, start, and pause your experiments many times. Publish saves and stages your experiment's changes.
Collaborate efficiently with Concurrent Editing
Optimizely Web Experimentation Concurrent Editing tracks users working on any of the pages within an experiment, such as Variations, Activation, and so on. If others work on the same experiment as you in the last 15 minutes, a blue notification box displays.
Landing page experiment walkthrough
Design and implement a landing page experiment and set up geo-targeted landing page experiments. Landing pages are standalone pages that serve a specific purpose, such as generating leads or promoting product-specific offers.
Supported browsers
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Personalization Only the current version of the Desktop Chrome browser is supported for building experiments and campaigns within the Optimizely application itself. Chrome's developer tools https //developer.
Experiment types in Web Experimentation
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Web Experimentation and Optimizely Performance Edge provide three different experiment types A/B testing https //www. optimizely.
Contextual bandits
Use contextual bandits with Optimizely to maximize your conversions by delivering variations that are personalized by user based on the primary metric performance in combination with user attributes. While multi-armed bandits (MABs) look for the single best-performing variation for all users, contextual bandits pick a winning variation for each user based on their contextual profile and impact on the primary metric .
Contextual bandits FAQ
Use contextual bandits with Optimizely to maximize your conversions by delivering variations that are personalized by user based on the primary metric performance in combination with user attributes. While multi-armed bandits (MABs) look for the single best-performing variation for all users, contextual bandits pick a winning variation for each user based on their contextual profile and impact on the primary metric .
Optimizely Web Experimentation FAQs
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