Revenue Intelligence &
Investor Dashboard Suite

Separate dashboards for investors, lenders / risk, and founders — fed by Stripe and first-party product events. Metrics aggregate on a schedule, exports are reproducible, and reads are gated by role. This is audit-ready signal, not vanity screenshots.

Scope investor & risk views Post-checkout orchestration layer

Why this commands a €50K+ programme line item

Banks and VCs evaluate proof of revenue alongside product. When MRR paths, leakage, churn, and payout risk reconcile to primary sources — and every tile can be retraced — you sell trust. That is the same product contract Stripe and Plaid meet for partners: deterministic numbers, reproducible derivation, disciplined access control.

Data pipeline

Architecture (short)

Sources

Stripe: payments, subs, refunds, disputes
Product: paywall, checkout, funnel, usage
User state: plan tier, cohorts, activity

Aggregation

Workers + cron hourly / nightly rollups
Metric calculators (see below)
Persist aggregates (KV / D1 / KV-style keys)

Delivery

Roles: Founder / Investor / Bank (read-only)
Time-boxed share links + token policy
Export: PDF snapshots, CSV / JSON API

Stacks naturally on control plane routes and Stripe webhook truth.

Three audiences · three dashboards

Separate lenses, shared ledger

1 · Investor

Growth & unit economics

MRR / ARR / growth velocity, ARPU-derived LTV, CAC inputs, churn (logo + revenue), cohort retention grids, funnel from visit → pay — enough to answer diligence questions without duct tape.

2 · Bank / risk

Reliability & payout discipline

Refund rates, chargeback trends, failed payment ratios, payout stability streaks, spike detection, annotated compliance checkpoints — narratives banks expect when underwriting SaaS-linked facilities.

3 · Founder / operator

Day-to-day monetization

Funnel breakage, tariff mix, paywall experimentation, cohort LTV deltas, leakage from checkout abandonment — actionable levers surfaced next to Stripe reality.

Core calculator surface

Operational definitions pinned to ingestion version — auditors can rerun the rollup.

MRR / ARR

MRR = sum of normalized monthly recurring revenue from active subs ARR = MRR × 12

LTV (simplified lane)

LTV ≈ ARPU × average customer lifetime months

Churn

Churn Rate = customers lost ÷ cohort at period start

CAC & payback

CAC = acquisition spend ÷ new paying customers Payback (months) = CAC ÷ monthly gross profit per account

Differentiators (product analytics + payments)

Revenue leakage: checkout_started − completed → estimated lost revenue
Funnel conversion: paid ÷ paywall_views (and stage drop-offs)
Refund risk index: refunds ÷ successful charges, trended
LTV by segment: free→paid, SME vs enterprise, geo — requires clean event taxonomy

Revenue intelligence dashboard suite

What ships

€12,000 – €35,000

Scope scales with event volume, multi-entity Stripe setups, custom lender reporting, and PDF / API depth.

Investor dashboard (growth + unit economics)
Bank / risk dashboard (refunds, chargebacks, stability)
Founder / operator dashboard (leakage + paywall)
Automated metric jobs + versioned definitions
Stripe + first-party event integration
PDF / shareable reports + read API

Your SaaS becomes transparent, measurable, and investable.

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Revenue Intelligence & Investor Dashboard Suite