Insurance buyers are split across carriers, MGAs and brokers, with 50-state regulatory fragmentation and procurement cycles that can reach 18 months at top carriers. Each persona wants something different: underwriting wants risk selection and speed to quote, actuaries want credible pricing models, and claims directors want shorter cycle times. NAIC complaint spikes and loss ratios diverging from peers are direct triggers.
The global insurtech market is projected to exceed $23B in 2026, growing at 24% CAGR. But insurance is one of the hardest verticals to sell into: 50-state regulatory fragmentation, 18-month procurement cycles at top carriers, and a buyer ecosystem split across carriers, MGAs, and brokers who each evaluate technology through completely different lenses. These 15 playbooks demonstrate how to use publicly available regulatory filings, complaint databases, and financial disclosures to build pain-qualified outbound that cuts through the noise.
12Playbooks
12Segments
1Data Sources
Last updated: March 2026
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Intelligence Built on 1 Public Data Source
12 Insurance playbooks powered by freely available government databases and industry registries
Insurance is one of the most data-rich industries for GTM intelligence
The NAIC Financial Data Repository warehouses quarterly and annual statutory filings from every multi-state insurer, including Schedule P lo...
Insurance generates unusually rich public signals of operational distress.
Insurance generates unusually rich public signals of operational distress. Combined ratios above 100% in specific lines (visible in statutory annual statements) indicate underwriting losses that force technology investment. Rising NAIC complaint ratios relative to premium volume signal claims handli
Public Data Sources
Insurance is one of the most data-rich industries for GTM intelligence
The NAIC Financial Data Repository warehouses quarterly and annual statutory filings from every multi-state insurer, including Schedule P loss reserve development data that reveals deteriorating loss ratios before they hit earnings calls. The SERFF (System for Electronic Rates and Forms Filing) p...
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Insurance technology buying involves distinct personas with fundamentally different priorities. The VP of Underwriting cares about risk selection accuracy, speed-to-quote, and combined ratio improvement — they respond to data showing their loss ratios diverging from peers in specific lines. The Chief Actuary evaluates reserve adequacy, pricing model sophistication, and regulatory capital requireme...
The Carrier vs. MGA vs. Broker Distinction
A fatal mistake in insurance GTM is treating carriers, MGAs, and brokers as interchangeable. Carriers (like Hartford, Travelers, or Liberty Mutual) are the risk-bearing entities with statutory capital requirements, state-by-state rate filing obligations, and 12-24 month procurement cycles driven by actuarial validation requirements. Managing General Agents (MGAs) have delegated underwriting author...
Why Generic Outbound Fails in Insurance
Insurance professionals receive hundreds of cold emails per quarter from vendors who do not understand the regulatory environment they operate in. Messaging that references 'digital transformation' or 'AI-powered solutions' without connecting to a specific regulatory filing, complaint trend, or financial metric gets deleted immediately. Insurance buyers are trained actuaries, seasoned underwriters...
Browse 12 Insurance Playbooks
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Dent Wizard
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Automotive Reconditioning & PDRInstall Base Detection
Playbook cross-references internal repair cost data by vehicle make and model with NAIC auto insurance claims data and state vehicle regi...
Playbook cross-references internal repair cost data by vehicle make and model with NAIC auto insurance claims data and state vehicle registration counts to surface model-specific PDR cost variance anomalies and proactive hail event inventory planning for rental fleets.
Playbook outlines the Blueprint GTM methodology for insurance software using government databases and regulatory filings
Playbook outlines the Blueprint GTM methodology for insurance software using government databases and regulatory filings to surface specific pain situations for P&C carriers.
Playbook cross-references NAIC statutory state filings with public 10-Q geographic disclosures
Playbook cross-references NAIC statutory state filings with public 10-Q geographic disclosures to identify loss ratio deterioration buried in regional rollups, and models coastal ZIP code concentrations against validated hurricane loss data.
Playbook uses state health department food inspection records
Playbook uses state health department food inspection records to identify restaurants approaching mandatory closure on repeat pest violations, and internal seasonal sales data to warn pest control operators of equipment gaps before peak demand.
Playbook uses FDA warning letters and internal recall outcome data from 7,000+ managed recalls
Playbook uses FDA warning letters and internal recall outcome data from 7,000+ managed recalls to build pre-completed customer notification trees, and uses MSHA mine safety data to surface multi-facility POV threshold risk.
AI for Insurance UnderwritersMulti-Signal Composite
Playbook uses internal pharmaceutical cold chain carrier performance data combined with FDA inspection records
Playbook uses internal pharmaceutical cold chain carrier performance data combined with FDA inspection records to deliver ready-to-submit audit documentation, and forecasts automotive shipment exceptions from historical exception patterns.
Identifies oil & gas facilities with unresolved EPA violations and expiring Title V air permits
The playbook identifies oil & gas facilities with unresolved EPA violations and expiring Title V air permits, and demolition contractors with repeat OSHA serious violations approaching willful reclassification deadlines, targeting risks that create uninsurable exposures.
Combines internal policy renewal calendar data with state insurance department rate filing records and DOI complaint records
The playbook combines internal policy renewal calendar data with state insurance department rate filing records and DOI complaint records to identify carrier rate increase collisions with renewal windows and trace integration failures to specific customer complaints.
Vehicle Extended Warranty & Protection PlansInstall Base Detection
Cross-references dealer inventory VINs against NHTSA recall databases and internal claims frequency data
The playbook cross-references dealer inventory VINs against NHTSA recall databases and internal claims frequency data to identify open powertrain recalls that void warranty coverage and vehicle models with significantly higher-than-average transmission claim rates.
A GTM playbook is a company-specific sales intelligence brief built from public data analysis. Each of the 12 Insurance playbooks identifies buyer personas, detectable pain signals, and messaging strategies tailored to that company's market position and regulatory environment.
Blueprint GTM uses freely available government databases, regulatory filings, licensing records, and industry-specific registries to identify companies in provable pain situations. The specific sources vary by subcategory — the intelligence sections above detail the most valuable databases for Insurance sales.
Generic research tells you the market size and buyer titles. These playbooks tell you which specific public data signal indicates a company is about to buy, what language their buyers use to describe their pain, and how to construct a message they would actually respond to.
Yes. Type your company website at blueprintgtm.com and Jordan builds your playbook: the accounts he would go after, the problem he would lead with, and the message he would send.
