Gap Analysis in Optimizely Web Experimentation

How to Conduct Gap Analysis In the context of Optimizely Web Experimentation, “Gap Analysis” refers to the process of identifying discrepancies or gaps between the current state or performance of a webpage or digital experience and the desired state or performance. Gap Analysis is a crucial exercise in the optimisation process and involves the following … Read more

Minimum Detectable Effect in Optimizely Web Experimentation

Understanding Minimum Detectable Effect Minimum Detectable Effect (MDE) is a statistical calculation in Optimizely Web Experimentation. In simple terms, it represents the smallest relative change in conversion rate that warrants detection. To illustrate, if your baseline conversion rate is 20%, and you set an MDE of 10%, your experiment will identify any conversion rate shifts … Read more

Optimizely Web Experimentation Metrics

Within the domain of Optimizely Web Experimentation Metrics, the emphasis is on objective key performance indicators (KPIs) selected to assess an experiment’s outcomes and impact. These metrics serve as essential indicators guiding experiments towards the attainment of an organisation’s overarching objectives. In this exploration, we delve into the role and significance of metrics, uncovering their … Read more

Optimizely Certifications

In this article we will cover the various types of certifications that Optimizely offers to individuals. This will enable them to demonstrate their proficiency in the different products available on the platform. Optimizely provides certifications across three main areas, Content, Commerce and Experimentation. Each of the certifications are described in detail below, alongside useful references … Read more