Metric Definition
Cohort revenue trajectories over time
Track from
Revenue cohort analysis
Revenue cohort analysis tracks the revenue contribution of subscriber groups over time, grouped by sign-up period. Unlike customer retention cohorts that count heads, revenue cohorts account for expansions and contractions, revealing whether subscribers become more or less valuable as they mature.
5 min read
What is revenue cohort analysis?
Revenue cohort analysis measures the total revenue generated by each subscriber cohort at successive time intervals. A cohort that generates more revenue at month 12 than at month 1 is expanding, indicating strong product-market fit and effective monetisation. A cohort whose revenue shrinks over time signals contraction through downgrades, churn, or discount erosion.
This differs from cohort retention analysis, which tracks the count of active subscribers. A cohort could retain 80% of its subscribers while generating 120% of its original revenue if the remaining customers upgraded. Conversely, high head-count retention can mask revenue decline if customers are downgrading plans.
Revenue cohort data feeds directly into customer lifetime value calculations. Rather than estimating LTV from averages, you can observe actual revenue curves for mature cohorts and project them forward for newer ones, producing more accurate LTV estimates.
How to build revenue cohort curves
Month-N Cohort Revenue Ratio = (Revenue from Cohort at Month N / Revenue from Cohort at Month 0) x 100
For example, if the January cohort generated 50,000 pounds in its first month and 55,000 pounds in its sixth month, the month-6 revenue ratio is 110%, indicating net expansion.
Display this as a heatmap with cohort start date as rows and tenure months as columns. Colour cells green when the ratio exceeds 100% (expanding) and red when below (contracting). The goal is to see green deepening over time, meaning each cohort becomes more valuable the longer it stays.
How to improve cohort revenue trajectories
- 1
Land and expand with usage-based triggers
Design the product so that increased usage naturally drives the need for higher-tier plans or additional capacity. This creates organic expansion within cohorts without relying solely on sales-led upsell motions.
- 2
Prevent revenue contraction from downgrades
Monitor downgrade events by cohort. If specific cohorts show elevated downgrades at a particular tenure, investigate whether the value delivered at the higher tier justifies the price. Consider intermediate tiers that retain more revenue than a full downgrade.
- 3
Compare cohort revenue curves across acquisition channels
Cohorts from different channels often have different revenue trajectories. Identify which channels produce the best long-term revenue curves and allocate acquisition spend accordingly rather than optimising for lowest CAC alone.
Related metrics
Cohort Retention Analysis
Retention curves by sign-up period
SaaS Metrics
Metric Definition
Cohort retention analysis groups subscribers by the period they signed up and tracks the percentage that remain active over subsequent months. It reveals whether retention is improving for newer cohorts or whether aggregate figures are masking deterioration beneath the surface.
Net Revenue Retention
NRR
SaaS MetricsMetric Definition
NRR = ((Beginning MRR + Expansion MRR - Contraction MRR - Churned MRR) / Beginning MRR) x 100
Net revenue retention (NRR) measures the percentage of recurring revenue retained from existing customers over a given period, including expansion, contraction, and churn. An NRR above 100% means existing customers are generating more revenue over time, creating a compounding growth engine that does not depend on new acquisition.
Customer Lifetime Value
CLV / LTV
SaaS Metrics
Metric Definition
CLV = Average Revenue Per User × Gross Margin × Average Customer Lifespan
Customer lifetime value (CLV) is the total revenue a business can expect from a single customer account over the entire duration of their relationship. It quantifies the long-term financial worth of acquiring and retaining a customer, making it one of the most important metrics for sustainable growth.
See whether your subscribers become more valuable over time
Build a metric tree that links revenue cohort trajectories to NRR, LTV, and expansion MRR so you can identify which cohorts drive compounding value and which need intervention.
