Own Churn AI.

What you'd own.

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

• ●Churn AI brand, domain, and landing page assets
• ●Founder persona and ideal customer profile documentation
• ●Cold email and LinkedIn outreach playbook with sequences
• ●ML model design spec and architecture documentation
• ●Financial projections and pricing strategy for Year 1
• ●Email templates and messaging framework for GTM
• ●Initial customer success processes and onboarding documentation

What Roll Digital builds for you.

Custom scope to take Churn AI from MVP shell to operating business.

• ▸Production ML backend with PostgreSQL for historical churn data
• ▸Stripe, Salesforce, and Chargebee connectors for customer data ingestion
• ▸Churn prediction API serving cohort-level risk scores in real-time
• ▸Customer dashboard showing at-risk cohorts, trends, and prediction confidence
• ▸Cold email and LinkedIn automation for SaaS founder outreach
• ▸Billing infrastructure for $300 monthly subscriptions and payment processing
• ▸Customer success onboarding with data setup, model training, and support

Why this could work.

The TAM is large (50K US companies) and they're already spending $2,960 yearly on retention tooling. Your GTM is capital-efficient, hitting founders directly who have the problem and budget. At $300 monthly, three closes monthly reaches $108K ARR within reach. Early customers with mature data will see measurable predictions, generating word-of-mouth in a tight SaaS founder community. Competition is fragmented, and a focused narrow GTM beats incumbents at land-and-expand at this price point.

What you'd risk.

The cold-start problem is real. Customers won't see better predictions than cohort analysis until 12 plus months of historical data, so they churn before finding value. Integration work kills sales cycles. Each Stripe, Salesforce, or Chargebee connector takes 1-3 weeks of dev work, and mid-market buyers won't self-serve. Established competitors like Baremetrics and ChurnZero already surface churn scores. You need demonstrably better predictions to differentiate, which requires more customer data than you'll have early on.

Who this fits.

This fits a solo SaaS founder or small agency operator with prior sales experience and cold outreach chops. You need some ML comfort but not PhD-level expertise. Best fit: someone with SaaS community connections, GTM campaign experience, and stamina for customer onboarding while your model trains on their historical data. This is capital-light but labor-intensive in year one. Expect to spend time managing early integrations.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive brand assets, landing page, playbooks, and domain transfer
2. Week 1
   Deploy production backend infrastructure and Stripe payment integration
3. Week 3
   Launch cold email campaign to founder target list
4. Week 6
   Begin first customer onboarding with historical data import
5. Day 90
   Iterate messaging from early customer feedback and churn data

Pricing.

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