StripePulse

See subscription revenue risks before they hit your books.

StripePulse is a SaaS analytics and alerting tool for subscription businesses that connects to Stripe and turns raw billing data into monthly revenue reporting, churn monitoring, and cohort analysis. It helps founders, finance teams, and growth leaders spot revenue movement faster, understand retention patterns, and act before churn or failed payments become a surprise.

Business Goals

  • Reach 100 paying customers within 6 months of launch, with at least 30 percent on annual plans by month 9.
  • Achieve 35 percent trial-to-paid conversion within 60 days of launching the self-serve onboarding flow.
  • Keep monthly logo churn below 4 percent in the first year by proving recurring operational value through alerts and reporting.
  • Drive at least 40 percent of new signups from organic and referral channels within 9 months through shareable reports and cohort insights.
  • Maintain gross margin above 85 percent by limiting data refresh costs and using efficient Stripe event sync patterns.

User Goals

  • Connect Stripe and see a usable revenue dashboard in under 10 minutes.
  • Receive churn or revenue drop alerts quickly enough to investigate the same business day.
  • Understand which cohorts retain best and where subscription drop-off starts.
  • Export monthly reporting data for board decks and finance reviews without manual spreadsheet work.
  • Trust that the numbers reconcile with Stripe and are explainable at the invoice, customer, and subscription level.

Non-Goals

  • Not a full accounting system or general ledger replacement.
  • Not a billing engine for creating or managing subscriptions in place of Stripe.
  • Not a multi-provider finance hub for PayPal, Paddle, Chargebee, or custom billing systems in v1.
  • Not a customer success CRM or in-app messaging platform.

Founder Alex, 34 - Alex runs a 15-person SaaS company and checks revenue weekly. They need an early warning system for churn and a fast way to explain performance to investors.

Founder Alex, 34

  • As a founder, I want to connect Stripe and see a clean monthly recurring revenue summary, so that I can understand business health at a glance.
  • As a founder, I want churn and revenue drop alerts by email and Slack, so that I can investigate problems before the board meeting.
  • As a founder, I want cohort retention charts by signup month, so that I can tell whether product changes improved long-term retention.

Finance Lead Priya, 41 - Priya owns monthly close and board reporting for a subscription business. She needs reliable numbers, exportable reports, and audit-friendly detail.

Finance Lead Priya, 41

  • As a finance lead, I want month-over-month revenue breakdowns and movement explanations, so that I can reconcile changes without manual spreadsheet analysis.
  • As a finance lead, I want filters by plan, country, and customer segment, so that I can answer stakeholder questions quickly.
  • As a finance lead, I want CSV and PDF exports, so that I can reuse the data in board decks and quarterly reviews.

Growth Manager Sam, 29 - Sam watches acquisition quality and retention by campaign and product cohort. They need actionable cohort analytics, not just top-line revenue.

Growth Manager Sam, 29

  • As a growth manager, I want cohort charts for retained revenue and active subscriptions, so that I can compare acquisition channels and lifecycle behavior.
  • As a growth manager, I want to segment by plan, coupon, and new versus expansion revenue, so that I can identify which customers grow over time.
  • As a growth manager, I want alerts when a cohort underperforms its baseline, so that I can intervene with targeted lifecycle campaigns.

Stripe Integration and Data Sync · High priority

  • Connect to Stripe securely, ingest billing data, and keep analytics current with a mix of initial backfill and incremental webhook updates.
  • Support Stripe OAuth or API key connection with clear account selection and permission validation.
  • Perform an initial sync of at least 12 months of subscription, invoice, customer, charge, and refund data.
  • Use Stripe webhooks for near-real-time updates to subscriptions, invoices, payment failures, refunds, and deletions.
  • Detect sync failures, retry with backoff, and surface a visible data freshness indicator.
  • Normalize Stripe objects into an internal analytics model with idempotent writes to avoid duplicates.

Revenue Analytics Dashboard · High priority

  • Provide a monthly revenue overview that explains current performance and movement over time.
  • Show MRR, ARR, net revenue, expansion revenue, contraction revenue, churned revenue, and new revenue.
  • Provide month-over-month deltas and a plain-language summary of the largest drivers.
  • Allow filtering by date range, plan, customer segment, and currency.
  • Show discrepancy warnings when data is incomplete, delayed, or impacted by sync issues.
  • Enable drill-down from summary metrics to customer-level and invoice-level detail.

Churn Alerts and Notifications · High priority

  • Automatically detect revenue and subscription risks and notify users fast enough to act on them.
  • Trigger alerts for churn spikes, failed payment surges, downgrade anomalies, and negative MRR movement thresholds.
  • Support configurable thresholds by absolute value and percentage change.
  • Send notifications by email and Slack, with optional daily digest and immediate alerts.
  • Include alert context such as affected customers, estimated revenue impact, and the likely cause.
  • Track alert acknowledgement and resolution status to support team workflows.

Cohort Analytics · Medium priority

  • Help teams understand retention, revenue durability, and acquisition quality across customer cohorts.
  • Provide signup-month and first-invoice cohort views for retained subscriptions and retained revenue.
  • Support cohort segmentation by plan, geography, acquisition source, and billing interval.
  • Show gross and net retention over time, with clear legends and hover detail.
  • Handle cohorts with small sample sizes by suppressing noisy percentages or marking them as low confidence.
  • Allow exporting cohort tables as CSV for offline analysis.

Reporting and Sharing · Medium priority

  • Make it easy to share insights with executives, investors, and internal stakeholders.
  • Generate read-only share links for selected dashboards with optional expiration dates.
  • Export charts and tables to CSV and PDF.
  • Support scheduled monthly email reports with a configurable recipient list.
  • Provide commentary blocks that let users annotate anomalies before sharing.
  • Keep shared links permission-scoped to avoid exposing sensitive customer-level detail.

Fast Stripe Connection Onboarding

  • Sign up with email and workspace name.
  • Connect Stripe through OAuth or API key entry, with permission validation.
  • Select the primary Stripe account if multiple accounts are detected.
  • Wait for the initial backfill, with a progress bar and data freshness estimate.
  • Review the first dashboard summary and receive the first alert configuration prompt.
  • Time to value target: first usable revenue dashboard in under 10 minutes for accounts with less than 50,000 invoices.

1. Connect and Validate

  • The user authenticates Stripe and StripePulse checks access, scopes, and data availability before syncing starts.
  • Reject partial permissions with a clear fix-it message.
  • Show how much historical data will be imported before confirmation.
  • Warn when the Stripe account appears empty or is missing subscription objects.

2. Backfill and Normalize

  • Stripe data is ingested and transformed into an analytics-ready model.
  • Display sync progress and estimated completion time.
  • Deduplicate records using Stripe object IDs and event timestamps.
  • Retry failed batches automatically and flag any partial import gaps.

3. Review Monthly Revenue

  • The dashboard surfaces current MRR, ARR, churn, and month-over-month movement in one place.
  • Use consistent metric definitions with inline help tooltips.
  • Handle currency differences by defaulting to account base currency and flagging multi-currency complexity.
  • Expose drill-downs to customer, invoice, subscription, and event history.

4. Set Alert Thresholds

  • Users configure alerts for churn, failed payments, and revenue drops.
  • Provide sane defaults based on account size and prior volatility.
  • Validate thresholds so users cannot create impossible or duplicate rules.
  • Offer Slack and email notification setup with test-send confirmation.

5. Analyze Cohorts

  • The user compares retention and revenue durability across cohorts and segments.
  • Allow cohort start date selection and cohort type switching.
  • Show low-sample warnings and suppress misleading percentage swings.
  • Support export for finance and growth teams.

Power User Controls and Edge Cases

  • Custom metric definitions for MRR movement classifications when businesses have unusual billing logic.
  • Multi-workspace support for agencies or holding companies monitoring several Stripe accounts.
  • Advanced segmentation by coupon, trial conversion, country, and product metadata.
  • Alert routing rules by severity, team, and Slack channel.
  • Data gap recovery for webhook outages and manual backfill reprocessing.

Clarity, Trust, and Speed

  • Use strong metric hierarchy so revenue, churn, and alert status are visible within one screen.
  • Make every metric clickable to reveal definition, source object, and last sync time.
  • Design for accessibility with color-agnostic status indicators, keyboard navigation, and screen-reader labels.
  • Keep charts performant with server-side aggregation and lazy-loaded drill-down tables.
  • Show trust cues such as data freshness, sync health, and Stripe account identity in the header.

Alex, the founder of a growing subscription SaaS, used to spend the first Monday of every month exporting Stripe data into spreadsheets. The numbers were hard to trust, churn surprises showed up late, and explaining revenue movement to investors meant manual detective work across invoices, customers, and subscription changes.

After connecting StripePulse, Alex saw a clean revenue dashboard in minutes, along with a live sync status and the first cohort retention charts. When a failed payment spike triggered a Slack alert, the team investigated the same day and recovered revenue before the issue became a bigger monthly loss.

Now Alex walks into board meetings with clear monthly revenue trends, churn drivers, and cohort performance already packaged. Instead of reacting to problems after the close, the team uses alerts and segmentation to reduce churn, improve retention, and make more confident growth decisions.

User-Centric Metrics

  • Median time to first dashboard: under 10 minutes for small Stripe accounts and under 20 minutes for larger accounts.
  • Alert delivery speed: 95 percent of critical alerts delivered within 2 minutes of the triggering Stripe event.
  • Dashboard load time: under 2 seconds for common views with up to 12 months of data.
  • Weekly active usage: at least 60 percent of connected accounts view the dashboard once per week.
  • Export success rate: 98 percent of CSV and PDF exports complete without user intervention.

Business Metrics

  • Trial-to-paid conversion of at least 35 percent within 60 days.
  • Monthly logo churn below 4 percent during the first year.
  • Net revenue retention of at least 110 percent among customers using alerts and cohort analysis for 90 days.
  • At least 25 percent of new signups originate from referrals or shared reports by month 9.
  • Annual contract mix reaches 30 percent or higher by month 9.

Technical Metrics

  • Platform uptime of 99.9 percent monthly.
  • P95 dashboard API latency under 500 ms for aggregated views.
  • Webhook processing success rate above 99 percent with idempotent handling.
  • No critical security incidents and quarterly access review completion for all production secrets.

Tracking Plan

  • track workspace_created with source, plan, and company_size
  • track stripe_connected with auth_method, account_type, and permission_status
  • track initial_sync_started and initial_sync_completed with object_counts and duration_seconds
  • track dashboard_viewed with view_name, date_range, and filter_count
  • track alert_created with alert_type, threshold_type, and notification_channel
  • track alert_fired with severity, estimated_revenue_impact, and delivery_latency_seconds
  • track export_completed with export_type, row_count, and destination

Technical Needs

  • Frontend in Next.js with TypeScript for fast dashboard iteration and server-rendered performance.
  • Backend API in Node.js or TypeScript, with a job queue such as BullMQ for sync and alert jobs.
  • PostgreSQL for normalized workspace, user, and analytics metadata.
  • Time-series and aggregation layer using materialized views or a warehouse such as BigQuery for heavier cohort queries.
  • Redis for caching dashboard summaries, webhook deduplication, and rate-limit backoff state.
  • Object storage such as S3 for exported CSV and PDF files.
  • Observability stack with OpenTelemetry, Sentry, and centralized logs for sync debugging and alert tracing.

Integration Points

  • Stripe API and Stripe webhooks for customers, subscriptions, invoices, charges, refunds, and disputes.
  • Slack API for alert delivery and workspace installation.
  • Email service such as SendGrid or Postmark for notifications and report digests.
  • OAuth provider such as Auth0, Clerk, or Supabase Auth for user authentication.
  • Optional analytics tooling such as PostHog or Segment for product analytics and event tracking.

Data Storage & Privacy

  • Store only the minimum Stripe data needed for analytics, and avoid persisting full payment method details or sensitive card data.
  • Encrypt data in transit with TLS and at rest with managed cloud encryption keys.
  • Support GDPR and CCPA workflows, including account deletion, data export, and user consent visibility where applicable.
  • Separate tenant data by workspace with strict row-level access control and audit logs for sensitive actions.
  • Set retention policies for raw sync events and keep configurable archival limits for older analytical data.

Scalability & Performance

  • Use incremental webhook-based updates to avoid full reprocessing after initial backfill.
  • Pre-aggregate monthly metrics to keep dashboards fast as invoice volume grows.
  • Design for bursty webhook traffic and queue spikes during billing cycles.
  • Paginate customer-level drill-downs and lazy-load detailed tables to avoid large payloads.

Potential Challenges

  • Stripe API rate limits may slow backfills and refreshes; mitigate with batched requests, adaptive concurrency, and priority queues.
  • Metric definition disputes can erode trust; mitigate with visible metric definitions, audit trails, and a source-of-truth documentation page.
  • Webhook gaps or retries may create data inconsistencies; mitigate with idempotency keys, reconciliation jobs, and daily integrity checks.
  • Multi-currency revenue can distort cohorts and monthly totals; mitigate with account-level base currency defaults and clear multi-currency flags.
  • Alert fatigue can reduce engagement; mitigate with threshold tuning, digests, deduplication, and escalation only for high-severity events.

Team & resourcing - Small team - 2 full-stack engineers, 1 product designer, part-time PM, and shared QA/support.

Phase 1: MVP Connection and Revenue Dashboard · Weeks 1-4

  • Stripe OAuth/API key connection
  • Initial 12-month backfill
  • Basic MRR, ARR, churn, and monthly movement dashboard
  • Sync status and data freshness indicators
  • Foundational authentication and workspace model

Phase 2: Alerts and Operational Trust · Weeks 5-7

  • Churn and revenue drop alert engine
  • Email and Slack notifications
  • Alert configuration UI with defaults and thresholds
  • Webhook processing, retries, and reconciliation jobs
  • Basic export to CSV

Phase 3: Cohorts and Reporting · Weeks 8-10

  • Cohort retention and retained revenue views
  • Segmentation by plan, geography, and billing interval
  • Scheduled monthly email reports
  • PDF export and shareable read-only links
  • Metric definitions and inline help

Phase 4: Hardening and Launch Readiness · Weeks 11-12

  • Performance tuning and caching
  • Security review and audit logs
  • GDPR/CCPA deletion and export flows
  • Monitoring, error dashboards, and support tooling
  • Launch checklist, pricing page, and onboarding polish

Paste this into Cursor, Bolt, Lovable, or v0 to start building.

Build a SaaS analytics product called StripePulse for subscription businesses.

Product summary:
StripePulse connects to Stripe, imports billing and subscription data, and provides monthly revenue analytics, churn alerts, and cohort retention analysis. It is for founders, finance leads, and growth managers who need trusted Stripe reporting without spreadsheets.

Build the following core features:
1. Authentication and workspace setup
2. Stripe connection via OAuth or API key
3. Initial sync/backfill progress with data freshness status
4. Revenue dashboard showing MRR, ARR, new revenue, expansion, contraction, churned revenue, and month-over-month change
5. Churn and revenue drop alerts with email and Slack notifications
6. Cohort analytics for retained subscriptions and retained revenue
7. Exports to CSV and PDF
8. Read-only share links for dashboards
9. Settings for thresholds, notification channels, and account preferences

Primary screens/flows:
1. Sign up and create workspace
2. Connect Stripe and validate permissions
3. Initial sync progress screen
4. Main dashboard with summary cards, charts, and drill-down tables
5. Alerts screen to create, test, and manage alert rules
6. Cohorts screen with filters by plan, geography, billing interval, and acquisition cohort
7. Reports/exports screen
8. Settings screen for integrations, users, and billing

Data model:
Users, Workspaces, StripeAccounts, SyncJobs, Customers, Subscriptions, Invoices, Charges, Refunds, RevenueSnapshots, AlertRules, AlertEvents, Cohorts, CohortMetrics, Exports, Notifications, AuditLogs.
Use tenant isolation by workspace and idempotent ingestion keyed by Stripe object IDs and event IDs.

Default tech stack:
Frontend: Next.js, React, TypeScript, Tailwind CSS, shadcn/ui
Backend: Node.js with TypeScript, NestJS or Next.js API routes for MVP
Database: PostgreSQL with Prisma
Queue/Jobs: BullMQ with Redis
Charts: Recharts or ECharts
Auth: Clerk or Auth0
File storage: S3
Email: SendGrid or Postmark
Slack integration: Slack API
Observability: Sentry and OpenTelemetry
Deployment: Vercel for frontend and AWS for backend/database

Implementation requirements:
Use clean B2B SaaS UI, responsive layouts, accessible components, and fast dashboard loads. Include loading, error, empty, and partial-data states. Add webhook handling, retry logic, deduplication, and sync health indicators. Make the first usable dashboard available within 10 minutes of connecting Stripe for a small account. Ship the MVP first, then alerts, then cohorts and reporting.

Business Idea

I’m building a SaaS tool that connects to Stripe and gives monthly revenue, churn alerts, and detailed cohort analytics for subscription businesses. I need a PRD that covers integration flows, key metrics (e.g. onboarding time, alert speed), user personas, risks like API limits, and a realistic launch scope. Please generate a detailed, ready-to-present Product Requirements Document for this SaaS app.

Make My PRD

Design by The Resonance | Powered by GPC – The AI Transformation Company

    PRD: I’m building a SaaS tool that connects to Stripe