Sample data for cohort analysis
Signups spread across 24 months with monthly movements let you build cohort and retention curves that actually decline realistically by tenure and plan.
Generate & download
Save / load scenario (stored only in this browser)
About this dataset
This is a free, reproducible SaaS / MRR dataset you can generate and download right here as CSV, Excel, JSON or SQL. It is built for cohort retention curves, revenue vs. logo retention and retention dashboards — and because every field is correlated rather than random, the numbers actually hold together when you analyze them.
Accounts sign up across the last two years on weighted plan tiers, then face a plan-dependent churn hazard with chances of expansion and contraction each month — reproducing the real shape of a SaaS book (leaky low end, sticky enterprise) so retention math has signal.
Columns in this dataset
Schema for the SaaS / MRR export (the anomaly column appears only when labels are switched on):
| Column | Type | Description |
|---|---|---|
| month | date | First of the month the movement occurred. |
| account_id / account | int / text | The subscribing company. |
| movement | text | new, expansion, contraction, or churn. |
| plan | text | Starter / Pro / Business / Enterprise. |
| seats | integer | Active seats after the movement (0 on churn). |
| mrr | number | Account MRR after the movement. |
| mrr_delta | number | Change in MRR (negative for contraction/churn). |
| region / industry | text | Firmographic dimensions. |
| anomaly | 0/1 | Present with labels on; flags suspicious churn. |
Load it with pandas
import pandas as pd
df = pd.read_csv("saas_mrr.csv")
df.head()Good for
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FAQ
How big is this dataset?
Around 10,000 rows by default. Change the row count in the generator above and re-export — anything up to ~200k works in the browser.
What formats can I download?
CSV, Excel (.xlsx), JSON, and SQL (a CREATE TABLE plus INSERT statements). Pick whatever fits your workflow.
Will I get the same file every time?
Yes. This page uses the fixed seed cohort-demo, so the download is byte-identical on every machine. Clear the seed in the generator for fresh random data.
Can I get separate tables, messy data, or other formats?
Yes. Use Tables → Excel/SQL for a normalized multi-table export, switch on Messy / dirty data in Advanced options for nulls, typos and inconsistent dates, and choose CSV, Excel, JSON or SQL on any download.
Is the data real?
No — it is 100% synthetic, generated in your browser, with no real people or companies. Free to use commercially.