Kohorszelemzés

Kohorszelemzés, often translated as cohort analysis, is a subset of behavioral analytics that takes the data from a given dataset and breaks it down into related groups before analysis. These groups, or cohorts, usually share common characteristics or experiences within a defined time span. For example, a cohort could be a group of customers who all made their first purchase in January.

The primary purpose of cohort analysis is to understand user behavior over time. By tracking the actions of specific cohorts, businesses can identify trends, measure the effectiveness of marketing campaigns, understand customer retention, and pinpoint areas for improvement. Instead of looking at all users as a single unit, cohort analysis allows for a more granular understanding of how different groups of users interact with a product or service.

Common applications of cohort analysis include tracking customer retention rates, understanding user engagement, evaluating the impact of product changes, and optimizing conversion funnels. For instance, by analyzing the retention of customers who joined in different months, a company can see if recent marketing efforts are attracting more loyal users. Similarly, observing how a particular feature's adoption rate changes over time for different cohorts can inform product development strategies. The insights gained from cohort analysis are crucial for making data-driven decisions that foster growth and customer satisfaction.