Results tools
Summarize results
Optimizely Web Experimentation Optimizely Feature Experimentation The Optimizely Opal results summary lets you move from results to confident decisions faster. Instead of manually analyzing complex data tables and metrics, Optimizely Opal automatically summarizes your A/B test results in plain language.
Interpret your Optimizely Experimentation Results
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) When you publish an experiment or campaign, you can start checking your Optimizely Experiment Results page . Unlike many testing tools, Optimizely Experimentation's Stats Engine uses a statistical approach that lets you peek into results without introducing error https //blog.
Optimizely Experiment Results page
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) A new A/B results page is available with CUPED, configurable stats engines, cohort segmentation, and additional data health checks. See New A/B Results page ..
Take action based on the results of an experiment
Optimizely Web Experimentation Optimizely Personalization Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack When you have analyzed your results , you are ready to take action. Winning, losing, and inconclusive variations are opportunities to make decisions about your business through data.
Attributes and segmentation
How Optimizely Experimentation sets attributes of decision events differs depending on the scenario and what Experimentation product you use. This article considers examples of assigning events in various circumstances.
How Optimizely Experimentation counts conversions
Optimizely Web Experimentation Optimizely Personalization Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) When sending a decision event to Optimizely Experimentation, how Optimizely assigns conversion events depends on the product. Web Experimentation, Optimizely Performance Edge, Feature Experimentation, and Full Stack (Legacy) Uses user-level scoping for visitor count and event-level scoping for events.
Run and interpret an A/A test
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) When you run an experiment in Optimizely Experimentation in which variation A is identical to variation B, you are running what is known as an A/A experiment https //www. optimizely.
Troubleshoot data discrepancies between Optimizely and your analytics tool
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Data freshness
Optimizely Web Experimentation Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) Data freshness is the time it takes Optimizely Experimentation to collect, process, and deliver data via the Results page or API. Because data freshness is critical, Optimizely Experimentation has a fast results pipeline that helps you make validated decisions at scale.
Discrepancies in third-party data
Optimizely Web Experimentation Optimizely Personalization Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) Optimizely Experimentation offers many analytics integrations in addition to developer tools that let teams use custom integrations and has many partners https //www. optimizely.
Tags: Describe key elements on your site
Optimizely Web Experimentation Optimizely Personalization Optimizely Performance Edge Optimizely Feature Experimentation Optimizely Full Stack (Legacy) Tags capture information that displays on the pages of your website or application. If events are verbs that help you track visitor actions like clicks or pageviews, then tags are adjectives that describe parts of your site that visitors interact with.