Own Account Health Predictor.

What you'd own.

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

• ●Brand identity and market positioning for Account Health Predictor product
• ●Landing page, website copy, and email template library for customer acquisition
• ●GTM playbook with LinkedIn messaging, cold email sequences, and discovery call scripts
• ●ML churn prediction model, training data, and technical architecture specification
• ●Financial model with year 1 projections and unit economics analysis
• ●Customer research, buyer persona, and target market segmentation framework
• ●Qualified prospect pipeline from presales activities and founder network

What Roll Digital builds for you.

Custom scope to take Account Health Predictor from MVP shell to operating business.

• ▸Production churn prediction engine trained on customer behavioral data patterns
• ▸Data connectors for Stripe, HubSpot, and Salesforce with automatic daily updates
• ▸Multi-tenant architecture with customer data isolation and secure token management
• ▸Customer-facing dashboard showing churn risk scores, trends, and actionable retention suggestions
• ▸Recurring billing system handling monthly subscriptions and 30-day free trial lifecycle
• ▸User authentication via email and Google OAuth with account provisioning
• ▸30-day hands-on customer success support including implementation and data quality validation

Why this could work.

The TAM is substantial: roughly 48 million in potential annual revenue from 10,000 under-served SaaS companies. The GTM motion is proven and repeatable: live demos using customers' own Stripe or HubSpot data create immediate credibility and reduce buyer skepticism. The 30-day free trial lowers adoption friction. Outbound sales to CS leaders is a taught skill, and the target buyer genuinely wants this tool.

What you'd risk.

Integration fragility is the core risk: churn predictions are only as good as the data. Shallow Stripe or HubSpot connections produce inaccurate scores that destroy user trust within 60 days. Second, the delayed value loop is real: customers need 60 to 90 days of baseline behavioral data before predictions become meaningful, creating a dangerous cancellation window. Third, the market is crowded: Gainsight and ChurnZero dominate enterprise, while ProfitWell and Baremetrics offer analytics at the low end.

Who this fits.

Best fit: a solo SaaS founder or customer success consultant with an existing network of CS leaders or SaaS founders. You need technical comfort with Python ML products and the sales hustle to execute outbound. Previous agency or consulting work is valuable. You understand SaaS unit economics and can speak credibly to churn reduction. Must be willing to sustain early losses while building the customer base.

Timeline.

From contract signing to operating business.

1. Day 1
   Ownership transfer, data access, and GTM playbook handoff
2. Week 1
   Founder execution on first outbound LinkedIn and email campaigns
3. Week 3
   First qualified customer pilots signed with 30-day free trial
4. Week 6
   Baseline customer data flowing, initial churn predictions running live
5. Day 90
   Customer feedback gathered, runway assessment, first renewal or churn decision

Pricing.

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