Template · Customers · Opening soon
Cohort retention analysis from your orders
Group customers by the month they first bought and see how many come back each month after. Built from your orders or payments, updated as they arrive.
You bring
Orders or payments587 rows
CustomerDateAmount
Mammoth does the work
You get
One table14 rows
Each month's new customers, and the share still buying 1, 2, 3… months later.
CohortCustomersMonth 1 %…Month 12 %
- Not a spreadsheet to fill inIt is a ready-made workflow in Mammoth. You bring the files, and it does the work.
- Your files, as they areUpload a file or connect a source. Your column names do not have to match.
- Runs again by itselfWhen new data arrives, every step runs again and the result updates.
What you get back
The real result of this template, run on sample data.
Cohort retention: the resultSample data14 rows
| Cohort | Customers | Month 1 % | Month 2 % | Month 3 % | Month 4 % | Month 5 % | Month 6 % | Month 7 % | Month 8 % | Month 9 % | Month 10 % | Month 11 % | Month 12 % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-08-01 | 18 | 55.6 | 38.9 | 44.4 | 33.3 | 38.9 | 27.8 | 22.2 | 22.2 | 16.7 | 11.1 | 11.1 | 11.1 |
| 2025-09-01 | 12 | 50 | 41.7 | 33.3 | 41.7 | 16.7 | 25 | 25 | 25 | 25 | 8.3 | 0 | 0 |
| 2025-10-01 | 16 | 50 | 56.3 | 56.3 | 31.3 | 12.5 | 18.8 | 18.8 | 12.5 | 18.8 | 18.8 | 6.3 | 6.3 |
| 2025-11-01 | 10 | 80 | 40 | 20 | 30 | 20 | 20 | 10 | 20 | 10 | 0 | 0 | 0 |
| 2025-12-01 | 8 | 62.5 | 62.5 | 50 | 25 | 25 | 12.5 | 12.5 | 12.5 | 0 | 12.5 | 0 | 0 |
| 2026-01-01 | 12 | 41.7 | 58.3 | 50 | 41.7 | 41.7 | 41.7 | 41.7 | 41.7 | 25 | 0 | 0 | 0 |
| 2026-02-01 | 13 | 61.5 | 30.8 | 23.1 | 23.1 | 15.4 | 7.7 | 15.4 | 15.4 | 0 | 0 | 0 | 0 |
| 2026-03-01 | 13 | 61.5 | 69.2 | 53.8 | 38.5 | 38.5 | 23.1 | 15.4 | 0 | 0 | 0 | 0 | 0 |
What is cohort analysis?
Cohort analysis groups customers by when they started and tracks each group over time, so you can see whether retention is improving for newer customers.
How it works
How to use the cohort retention template
- 1Bring your dataConnect a source, or upload a file.
- 2Check the columnsMammoth matches each column the template needs and asks only when it is unsure.
- 3Choose where it goesA table, a sheet, or a dashboard. It rebuilds on every refresh.
See the exact columns and steps ›
What it needs
Orders or payments: customer, date, amount
Orders or payments
- Customer
- Date
- Amount
The steps it runs
- 1Match columns
- 2Customers kept, by first month
Every step is an ordinary Mammoth step you can open and change.
Cohort retention: questions
Does it update by itself?
Yes. The template becomes an ordinary workflow in Mammoth. When your data refreshes, from a connector, a scheduled pull or a new file, every step runs again and the result table updates.
Can I change the steps?
Every step is an ordinary Mammoth step you can open and edit. Mammoth remembers which steps came from the template, so an update never overwrites your changes.
Do my column names have to match?
No. You point the template at your columns once. Mammoth suggests a match for each one and asks only when it is unsure.
Get early access to this template
Bring your data, check the columns, and the result rebuilds on every refresh.
More customer templates
Cohorts, churn, repeat purchases, retention, RFM segments and recurring revenue, from your orders or payments.
- RFM segmentsEvery customer scored 1-5 on recency, frequency and spend, with a segmentSee the template
- Net revenue retentionNet and gross revenue retention for every monthSee the template
- Repeat purchase rateEach month's new customers and the share who ordered again within 90 daysSee the template
- Churn rateEach month: customers at the start, how many were lost, and the churn rateSee the template
- MRR movementEach month's recurring revenue: start, new, expansion, contraction, churned, endSee the template