Shopify Metric
Revenue
Cohort Retention Rate (Month N) = Customers from Cohort Who Ordered in Month N / Total Customers in Cohort x 100
Cohort Analysis groups your Shopify customers by the period of their first order, then tracks how each group behaves in the months that follow. Using Shopify order and customer data, it measures repeat purchase rates, retained customers and cumulative revenue for every cohort. This turns a single revenue figure into a view of how customer value develops after the first purchase.
Full guide: definition, formula, and benchmarksCohort Analysis
Cohort Analysis groups your Shopify customers by the period of their first order, then tracks how each group behaves in the months that follow. Using Shopify order and customer data, it measures repeat purchase rates, retained customers and cumulative revenue for every cohort. This turns a single revenue figure into a view of how customer value develops after the first purchase.
How to calculate cohort analysis
Why cohort analysis matters for Shopify users
A blended revenue number hides whether your Shopify store is building a loyal base or simply churning through one-time buyers. Cohort Analysis separates new acquisition from repeat behaviour, so you can see whether customers acquired in a given month keep coming back or fall away after the first order.
It also tells you whether changes are working. If a new onboarding flow, loyalty programme or product range lifts the second-order rate, later cohorts will retain better than earlier ones. Without cohorts, that improvement is invisible inside the overall total.
Understand and act on cohort analysis with KPI Tree
Sync your Shopify order and customer data into your warehouse and compute Cohort Analysis in KPI Tree, grouping customers by first-order month and tracking repeat orders and revenue across the months that follow. Link it inside a metric tree to related metrics such as average order value and cart conversion rate, so you can see which levers move long-term cohort value.
Assign RACI ownership to the retention or ecommerce lead so one person is accountable for reading the cohort grids, and set a monthly review cadence in KPI Tree to compare each new cohort against earlier ones and catch retention drift early.
Get started with your Shopify data
Pull metrics from Shopify directly through the Model Context Protocol.
Connect your existing warehouse where Shopify data already lands.
Our professional services team can build you turn-key AI foundations in a matter of weeks. Data warehouse on Snowflake/BigQuery, ELT with Fivetran, all modelled in dbt with a semantic layer.
Related Shopify metrics
Average Order Value
E-commerceMetric Definition
AOV = Total Revenue / Number of Orders
Average order value (AOV) is the mean monetary value of each completed order. It captures the combined effect of pricing, bundling, upselling, and promotional strategies on basket size.
Cart Conversion Rate
E-commerceMetric Definition
Cart Conversion Rate = (Completed Orders / Sessions with Add-to-Cart) × 100
Cart conversion rate is the percentage of visitors who add items to their cart and subsequently complete a purchase. It isolates the effectiveness of the post-browse, pre-checkout stage of the buying journey.
Checkout Conversion Rate
E-commerceMetric Definition
Checkout Conversion Rate = (Completed Orders / Checkout Starts) × 100
Checkout conversion rate is the percentage of visitors who begin the checkout process and successfully complete a purchase. It isolates conversion performance at the critical final stage of the buying journey.
Abandoned Cart Recovery Rate
E-commerceMetric Definition
Abandoned Cart Recovery Rate = (Recovered Carts / Total Abandoned Carts) × 100
Abandoned cart recovery rate is the percentage of abandoned carts that are subsequently converted into completed orders through recovery efforts such as email sequences, SMS reminders, or retargeting campaigns. It quantifies the effectiveness of your win-back automation.
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