Cohort marketing analysis is a statistical technique used to track the behaviour and performance of a group of customers over time. It is used to identify patterns and trends in customer behaviour, and to understand how different segments of customers are responding to a product or service.
The key element of cohort analysis is the grouping of customers based on a common characteristic, such as the date of their first purchase or the channel through which they were acquired. This allows businesses to track the behaviour and performance of customers over time, and to identify patterns and trends in customer behaviour.
For example, imagine a business that wants to understand how customer retention is affected by the month of a customer’s first purchase. They could use cohort analysis to group customers based on the month of their first purchase and then track the retention rate of each cohort over time.
Another example, a business that wants to understand how the average order value changes over time for customers acquired through different channels. They could use cohort analysis to group customers by acquisition channel and then track the average order value of each cohort over time.
Cohort analysis can also be used to identify trends in customer behaviour that might not be immediately apparent, such as changes in customer lifetime value or changes in customer acquisition costs. This information can be used to make data-driven decisions and to optimise marketing strategies.
Overall, cohort analysis is a powerful tool for understanding customer behaviour and for identifying patterns and trends that can be used to improve marketing strategies and business performance.
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