Own Insurance Agency Trigger Monitor.

What you'd own.

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

• ●Founded brand identity and prospecting hook around trigger-based lead generation
• ●Cold outreach playbook with email and LinkedIn templates for 40k agency list
• ●Financial model showing 3-4 monthly closes at $250, Year 1 ARR $180k
• ●Trigger signal integration architecture connecting 10+ disparate data vendors
• ●Customer onboarding and success playbook for independent agency principals
• ●Marketing site, landing pages, and demo environment for agency GTM
• ●Sales infrastructure including prospect lists, sequences, and refined demo scripts

What Roll Digital builds for you.

Custom scope to take Insurance Agency Trigger Monitor from MVP shell to operating business.

• ▸API and Postgres backend for real-time trigger matching against agency prospect databases
• ▸Agency dashboard displaying daily prospect matches with life-event enrichment and contact info
• ▸Data normalization pipeline integrating signals from 10+ third-party insurance-event data vendors
• ▸Stripe subscription billing supporting three pricing tiers and per-agency usage metering
• ▸Compliance framework documenting FCRA adherence and per-state insurance solicitation rule compliance
• ▸Email delivery infrastructure with warm-up and rate-limiting for cold outreach campaigns
• ▸Admin console for customer lifecycle, data source management, and quality monitoring dashboards

Why this could work.

The TAM is substantial: 40,000 independent agencies collectively spend roughly $80 million annually on lead generation. The GTM is proven: early data shows 15-20 demos per month at $250/month, translating to 3-4 closures. Cold email and LinkedIn work with this buyer if the hook is specific: I found 40 buyers you didn't know about. The product solves a real problem for agencies without tech budgets, and the pricing sits between free prospecting and expensive CRM upgrades.

What you'd risk.

Data quality is the fundamental risk: trigger signals come from 10+ fragmented vendors with inconsistent freshness and gaps, making reliable data expensive and hard to promise in a demo. Sales cycles compress year-one closes well below projections; agency principals are relationship-driven and skeptical of SaaS, expecting 60-120 day closures. Regulatory exposure is real: FCRA compliance and state-level insurance solicitation rules vary significantly, potentially requiring per-state legal review before scaling. The 14% success probability reflects these headwinds.

Who this fits.

This fits someone with existing insurance agency relationships or a book of agents, technical cofounders who understand SaaS metrics, willingness to slug through long sales cycles and early buyer resistance, and access to capital for year 1 compliance and data costs. Best fit: operator with existing agency credibility or network, not a cold SaaS founder trying to break in from zero.

Timeline.

From contract signing to operating business.

1. Day 1
   Complete code, architecture docs, customer list, email templates, financials
2. Week 1
   Production deployment, Stripe billing live, first outbound campaigns sent
3. Week 3
   First customer demos booked, trigger matching end-to-end functional
4. Week 6
   First customer live with real prospects, initial churn observed
5. Day 90
   12-15 customers acquired, data pipeline stable, compliance audit complete

Pricing.

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