Revenue Tracking & Business Analytics

Every billing event from Stripe and every conversion event from the marketing analytics stack flows into an internal revenue warehouse that powers the business dashboard. MRR and ARR are computed nightly with month-over-month and year-over-year growth indicators, plus a churn-adjusted forecast that projects the next 12 months under current conditions. Churn analytics are sliced per segment (Club, Professional, Federation) and rendered as cohort retention curves — the canonical SaaS visual — so leadership can see whether a cohort retains 80% at month 12 or collapses at month 3.

Early-warning indicators (declining engagement, payment failures, support escalations) flag at-risk accounts before they cancel. CAC is tracked per acquisition channel (organic, Google Ads, Meta, LinkedIn, partnerships) with payback period and an efficiency ranking, so the marketing team kills underperforming channels and doubles down on winners. LTV is computed per segment and divided by CAC to produce LTV/CAC; the dashboard flags any segment where the ratio drops below the 3:1 target.

The conversion funnel — visit → trial → paid — is rendered with absolute and percentage drop-off at every step, so optimisation efforts target the leakiest stage. Cohort analysis renders as a retention heatmap with trend indicators per signup month. Revenue forecast scenarios — base, optimistic, pessimistic — let leadership pressure-test plans before committing to hiring or investment.