Own Customer Data Orchestrator.

What you'd own.

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

• ●Landing page with LinkedIn playbook and Segment-lite positioning messaging
• ●Founder playbook: outbound sequences, demo script, sales process framework
• ●AI integration engine with 20+ pre-built connectors for SaaS tools
• ●Customer success playbook tailored for mid-market ops and marketing teams
• ●Financial model with customer acquisition metrics and pricing analysis
• ●AppExchange and HubSpot marketplace approval documentation and listing access
• ●Brand identity, positioning narrative, and competitive differentiation assets

What Roll Digital builds for you.

Custom scope to take Customer Data Orchestrator from MVP shell to operating business.

• ▸Production backend on FastAPI with Postgres and multi-tenant architecture
• ▸Stripe billing integration across three tiers with usage-based add-ons
• ▸Secure OAuth token management and refresh system for 20+ integrations
• ▸Email and Google sign-in authentication with admin customer dashboard
• ▸Real-time API health monitoring and integration failure alerting system
• ▸AES-256 PII encryption at rest and in transit, compliance documentation
• ▸Zapier and Make connectors enabling ecosystem handoff for existing users

Why this could work.

Mid-market ops teams face real data debt: Zapier covers the base case, but orchestrating complex conditional flows without engineers wins deals. The AI differentiation shows immediately in demos. At $450 MRR average with 20 demos monthly, the math works. The GTM is proven: LinkedIn outbound at 100-500 person SaaS scales predictably. Marketplace presence (HubSpot, AppExchange) adds inbound assist without adding sales friction.

What you'd risk.

API rot is material: 20+ integrations break 2 to 4 times yearly, consuming founder time with zero revenue upside. Zapier and Make already own 80% of your target buyers at $50/month. Beating them requires the AI angle to land in the first demo, or the conversation stalls. PII trust is a gating issue: routing customer data through an unknown startup triggers legal review at mid-market companies, often killing deals.

Who this fits.

The ideal operator is an experienced SaaS founder or ops executive with existing relationships in the data/analytics space. You need comfort with ongoing API maintenance and the sales conviction to sell the AI differentiation before prospects default to Zapier. This suits someone who has sold to mid-market companies before, understands the data engineering pain point, and can navigate the PII/compliance concerns that stall deals.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive codebase, integrations, customer list, playbooks, and GTM documentation transfer
2. Week 1
   Onboard to production infrastructure and activate AppExchange and HubSpot listings
3. Week 3
   Launch targeted LinkedIn outbound campaign to 500 ideal customer companies
4. Week 6
   Close first 2 customer demos and secure legal compliance approval
5. Day 90
   Achieve $8k ARR run rate with 6+ active customers, stable integrations

Pricing.

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