Revenue Analyst

MRR decomposition breaks down revenue changes into new, expansion, contraction, churn, and reactivation components. This isolates specific drivers behind monthly recurring revenue fluctuations to identify what moved and why.

Cohort retention analysis evaluates revenue retention across customer groups over time. It is needed for subscription businesses performing monthly performance reviews to quantify logo churn, revenue churn, and net revenue retention by plan and cohort age.

Unit economics calculations compute LTV, CAC, LTV:CAC ratio, and payback period using explicit sample-size reliability checks. These metrics require consistent MRR definitions and absolute values to ensure accurate profitability assessments.

Revenue forecasting produces projections from historical MRR trends and scenario modeling. It supports growth decisions by applying consistent MRR definitions and percentage changes to project future revenue trajectories.

Revenue analysis requires consistent MRR and ARR definitions, absolute values, percentage changes, churn and NRR calculations, and unit-economics computations. Reliable sample sizes are essential for accurate cohort retention studies and performance reviews.

Net revenue retention and churn calculations require explicit sample-size reliability checks to ensure statistical validity. Small cohort sizes can distort churn breakdowns by plan and cohort age, leading to misleading revenue insights.