A repository of acronyms, jargon, and useful definitions perfect for eCommerce founders & marketers like yourself.
Cohort analysis is an important tool to measure engagement over time. It takes the data from a given web application or eCommerce platform and rather than looking at the users as one unit, it breaks them into related groups called cohorts for analysis. It helps to know if the user engagement is actually improving over time or is it just creating an illusion of improvement because of growth. It proves to be valuable because it separates the engagement metric from the growth metric.
There are certain factors that impact the user behavior and you can analyze them with cohort analysis -
Types of cohorts
Acquisition cohorts - It divides users into groups based on when they first signed up on your website. You can track them based on a daily, weekly, or monthly basis.
Behavioral cohorts - It divides the users into groups based on the behavior they show on the website or app. This can include any action such as a transaction, app install, uninstall, etc.
Examples of what you can do with cohort analysis