Own Silent Churn Detector.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Cold-outreach playbook targeting SaaS founders via Apollo and LinkedIn
• ●Churn prediction ML model trained on historical customer data
• ●Landing page, pricing tiers, and sales presentation materials
• ●Financial model projecting Year 1 ARR of $72,000
• ●Founder persona and competitive positioning versus Baremetrics and ProfitWell
• ●Stripe App Marketplace strategy and inbound discovery playbook
• ●Integration framework connecting product DB, billing system, support tickets

What Roll Digital builds for you.

Custom scope to take Silent Churn Detector from MVP shell to operating business.

• ▸Production backend with APIs connecting to product, billing, support systems
• ▸Churn prediction ML model with configurable thresholds and feature engineering
• ▸SaaS dashboard displaying churn risk scores and cohort analysis in real time
• ▸Stripe billing integration supporting three pricing tiers with subscription management
• ▸Multi-tenant authentication with email sign-up and Google OAuth integration
• ▸API key provisioning and documentation for developer onboarding flows
• ▸Guided integration wizard walking customers through 2-4 week data connection setup
• ▸Admin dashboard for monitoring model performance and customer health metrics

Why this could work.

The GTM motion has proven unit economics: 20 demos monthly, 3 closes at $69-199 monthly. The TAM spans 12,000 mid-market SaaS teams actively spending $3,200 yearly on retention tools. Direct sales to founders creates stickier customers and higher LTV than self-serve competitors. If the churn prediction model gains accuracy over 6-12 months, lock-in increases substantially. Stripe App Marketplace inbound discovery offsets cold-outreach CAC.

What you'd risk.

Established competitors like Baremetrics, ProfitWell, and Stripe offer free or near-free churn dashboards, raising the differentiation bar. The ML model requires 6-12 months of historical data per customer to deliver meaningful accuracy, meaning early buyers train it with no validated proof of value. The 2-4 week integration slog across product, billing, and support systems kills trial-to-paid conversion. Year 1 runs negative. Success probability is modeled at 14 percent.

Who this fits.

Ideal owner is a SaaS founder or agency operator with direct sales experience and network access to founder circles. They understand that direct-to-founder cold outreach requires higher sales skills than self-serve but yields stickier LTV. Technical foundation to oversee backend integrations is essential. Must tolerate negative Year 1 cash while the ML model trains and unit economics compound through Year 2-3.

Timeline.

From contract signing to operating business.

1. Day 1
   Asset transfer, codebase access, founder persona and GTM playbook delivered
2. Week 1
   API keys provisioned, demo environment spun up, backend architecture reviewed
3. Week 3
   Production backend, Stripe billing, multi-tenant auth, and dashboard deployed live
4. Week 6
   Integration wizard and customer onboarding guides ready, first beta customer launched
5. Day 90
   First paid customers acquired through cold outreach, ML model training underway

Pricing.

Three ways in, depending on how much you want to build yourself.