As a retail investor evaluating SaaS companies or a founder tracking early traction, cohort retention is the single most important metric. It tells you whether customers stick — and whether your unit economics actually work.
Most guides assume you have SQL access or expensive BI tools. But with Google Sheets and a few smart formulas, you can build a professional cohort dashboard in 15 minutes.
What You'll Build
- Auto-assigned monthly cohorts from signup dates
- 12-month retention matrix with conditional formatting
- Revenue per cohort tracker
- Churn heatmap showing drop-off points
Key Formula (Cohort Assignment)
=TEXT(B2, "YYYY-MM") converts a signup date into a cohort label.
Key Formula (Retention %)
=COUNTIFS(RawData!C:C, $A2, RawData!D:D, 1) / COUNTIF(RawData!C:C, $A2)
This counts how many customers from a cohort were active in month 1, divided by total in that cohort.
Key Formula (Marginal Churn)
=(B2-C2)/B2 calculates the % of customers who churned between month 0 and month 1.
The Dashboard Structure
Sheet 1: Raw data (customer ID, signup date, 12 monthly activity flags)
Sheet 2: Cohort retention table (rows=cohorts, columns=months 0-12)
Sheet 3: Revenue per cohort (same structure but with MRR)
Sheet 4: Churn heatmap with red/yellow/green formatting
Why This Matters for Investors
If you're analyzing a SaaS investment, the retention curve tells you:
- Does the product have product-market fit? (Curve flattens above 60%)
- Is churn improving over time? (Newer cohorts retain better)
- What's the real LTV? (Revenue per cohort × expected lifetime)
For retail investors without access to company dashboards, this sheet lets you reconstruct retention from public data or investor updates.
I've packaged this into a ready-to-use Google Sheets template with all formulas pre-built. Grab it here: https://microtoolsb2b.gumroad.com/l/[product_link]
Tags: googlesheets, excel, finance, investing, saas
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