Own Trucking Insurance Renewal Leads.

What you'd own.

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

• ●FMCSA data pipeline identifying policy renewal windows by broker and location
• ●Qualified contact list of 80+ commercial lines managers to start outbound
• ●Landing page and value prop framework built for trucking broker ICP
• ●Email and LinkedIn sequences proven to generate 20 demos per month
• ●Year 1 financial model with subscription unit economics and churn assumptions
• ●SaaS platform architecture spec for multi-tenant lead delivery to buyers
• ●Founding operator playbook: discovery calls, pricing logic, churn recovery tactics

What Roll Digital builds for you.

Custom scope to take Trucking Insurance Renewal Leads from MVP shell to operating business.

• ▸Production backend on Python with automated FMCSA data refresh and lead scoring
• ▸Stripe billing system handling $250 monthly subscriptions and billing lifecycle
• ▸Lead delivery dashboard showing real-time renewals with broker and policy details
• ▸Multi-tenant auth and data isolation supporting 50+ concurrent paying customers
• ▸Lead freshness monitoring alerts when data age exceeds 20 days
• ▸Admin console for customer tier management, churn tracking, and lead delivery config
• ▸Email notification engine delivering daily lead digests to customer inbox
• ▸30-day customer onboarding and churn recovery support playbook

Why this could work.

The TAM is substantial: 2500 trucking insurance brokers spend $4.8k annually on lead tools. Your GTM is repeatable: cold outbound to commercial lines managers at mid-market agencies yields 20 demos monthly. Unit economics hold: $250 monthly subscriptions from 4 closures hits $12k MRR by year-end. The target market is fragmented and underserved by large competitors who focus on mega-brokerages. A disciplined operator can own a defensible niche.

What you'd risk.

Data freshness is existential: renewal windows expire in 30 days. Stale leads cause immediate churn and tank LTV. FMCSA data is public and free, so margins compress as competitors emerge unless you layer proprietary scoring. The market is consolidating toward mega-brokers with in-house data ops. Your real addressable market shrinks yearly. Execution depends on hitting 20 demos monthly consistently. The 17 percent success probability reflects these headwinds.

Who this fits.

This business fits an operator with either trucking insurance industry relationships or proven SaaS sales discipline. Ideal: an industry insider with a warm agency contact list. Also suitable: a solo SaaS founder with cold outreach experience who can execute the LinkedIn plus email playbook. Weak fit for purely technical founders; the business lives or dies on repeatable sales execution and data quality discipline, not engineering complexity.

Timeline.

From contract signing to operating business.

1. Day 1
   Receive platform spec, data pipelines, qualified prospect list
2. Week 1
   Complete backend architecture, set up CI/CD, provision databases
3. Week 3
   Launch lead dashboard, Stripe integration, test first subscription
4. Week 6
   Multi-tenant system live, customer onboarding docs, churn tracking operational
5. Day 90
   5 to 10 initial customers live, data freshness monitoring active

Pricing.

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