Own Dormant Account Activation.

What you'd own.

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

• ●Brand identity: Dormant Account Activation, positioning, messaging, tone of voice
• ●Landing page, case studies, and email templates with proven conversion copy
• ●AI agent specification for generating personalized dormancy re-engagement messages
• ●Financial model: median $108k year 1 ARR, unit economics, pricing architecture
• ●LinkedIn and email outbound playbook targeting growth and CS leaders
• ●Sales process playbook: 20 demos monthly, closing patterns, objection handling
• ●Founder insights: what resonates, customer pain points, market validation learnings

What Roll Digital builds for you.

Custom scope to take Dormant Account Activation from MVP shell to operating business.

• ▸Multi-tenant FastAPI backend with Postgres for isolated customer account management
• ▸LLM integration layer supporting cost-effective message generation and personalization
• ▸Email infrastructure with bounce detection, unsubscribe handling, compliance automation
• ▸Native connectors for Intercom, Klaviyo, Customer.io, HubSpot user data sync
• ▸Stripe billing with three-tier pricing, metering, and usage tracking
• ▸Admin dashboard showing dormancy detection, campaign results, and ROI metrics
• ▸GDPR and CAN-SPAM compliance layer with consent checks and header injection
• ▸Multi-tenant auth with email, Google OAuth, and team seat provisioning

Why this could work.

Real $210M TAM across 60k mid-market companies hungry for re-engagement. Proven GTM: 20 monthly demos from case-study-led outbound, 3 closes at $250-400. AI-powered messaging beats dormancy features in Intercom or HubSpot if execution is sharp. Unit economics work at volume if you control LLM costs. Low CAC model rewards quick iteration and founder-operator instincts.

What you'd risk.

Intercom, Klaviyo, Customer.io, HubSpot all ship dormancy features natively, commoditizing the pitch. GDPR and CAN-SPAM compliance rules severely constrain re-engagement strategy, especially in EU markets. LLM costs per message erode margins at scale unless architecture shifts to per-seat pricing. Building and maintaining integrations across 6+ platforms requires dedicated engineering. Historical success rate is 13 percent.

Who this fits.

Best suited to a growth or CS leader from mid-market SaaS with outbound sales instincts and basic technical fluency. Success hinges on founder-operator execution of the playbook, not product features. Prior founder or agency owner with an existing list is ideal. Need stomach for compliance complexity and patience to prove unit economics before scaling spend.

Timeline.

From contract signing to operating business.

1. Day 1
   Assume brand, playbook, financial model, customer outreach templates
2. Week 1
   Assess integration requirements, estimate LLM costs at scale, scope build
3. Week 3
   Deploy closed beta, onboard first 5 customers, gather messaging feedback
4. Week 6
   Refine pricing, optimize AI generation logic, pilot first platform integration
5. Day 90
   3 to 5 paying customers, unit economics validated, expansion scope clear

Pricing.

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