Kohorttilnærming

Kohorttilnærming, also known as cohort analysis, is a type of behavioral analytics that breaks down data into related groups called cohorts. These cohorts are based on shared characteristics or experiences within a defined time span. The primary goal of cohort analysis is to understand user behavior over time and how it changes in relation to the cohort's defining event.

For example, a common application is in user acquisition. A cohort might consist of all users who signed up for a service in a particular week. By tracking this group over subsequent weeks or months, businesses can observe retention rates, engagement patterns, and other key metrics specific to that initial sign-up period. This allows for a deeper understanding of whether newer users behave differently than older ones, or if changes to the product or marketing campaigns have had a positive or negative impact on user behavior.

Kohorttilnærming is valuable for identifying trends, measuring the effectiveness of initiatives, and predicting future outcomes. It moves beyond simply looking at aggregated data to provide a more nuanced view of user lifecycles and engagement. By segmenting users into distinct groups based on when they joined or performed a specific action, businesses can gain actionable insights into customer loyalty, product adoption, and the overall health of their user base. This data-driven approach helps in making informed decisions about product development, marketing strategies, and customer support.