You can customize your cohort table in order to dig deeper into your customer data and derive insights for specific time periods and types of customers.
Date Range:
You can decide to focus on specific time periods for cohort analysis. We will look at all customers who made their first purchase in the selected period.
Timeframe:
The time frame determines the buckets of time to group the cohorts.
Monthly (default): All customers who bought in January, February, etc
Quarterly: All customers who bought in Quarter 1, Quarter 2, etc.
Yearly: All customers who bought in 2022, 2023, etc
Metric:
Lifesight currently provides six cohort analyses. Some metrics are directly from the data provided by the Shopify datasets, and some are a mix of data from Shopify and marketing data sources.
Customers
Orders
Revenue
Revenue per customer
Net Revenue per customer
Average order value
Get a broader understanding of each of the metrics here.
Cumulative:
Turn on the Cumulative toggle to view how cumulative data adds up for the metric you have selected