Insurity is in Insurance, in P&C Insurance Software. That's the market I researched for this playbook.
Playbook outlines the Blueprint GTM methodology for insurance software using government databases and regulatory filings to surface specific pain situations for P&C carriers.
Signal type: Custom Research
The segments, the people and the public data that finds them are in the full playbook. I haven't pulled them onto this page yet. Read the full playbook
The messages are written out in the full playbook, each one tied to the data that proves the problem. Read the full playbook
Read the full playbook with your team. If it's the right angle, I can build the whole thing for you: every account in your market, the lists and the messages, in one repo your team keeps.
dentwizard.com
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.
View playbookhubinternational.com
Playbook combines internal historical claims patterns, OSHA establishment data, and EPA ECHO records to deliver predictive injury forecasts and violation replication risk analysis across multi-site operator portfolios.
View playbookorigamirisk.com
Playbook targets multi-violation manufacturing facilities approaching OSHA willful classification thresholds, motor carriers nearing CSA BASIC intervention scores, and SNFs on declining CMS quality trajectories toward Special Focus Facility designation.
View playbookparis-re.com
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.
View playbooksafe-guardproducts.com
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.
View playbooksedgwick.com
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.
View playbookI build your full TAM in one repo, pull the lists from real problems your buyers have, and write the messages that go with them. After a three-month engagement, your team owns all of it and keeps running it.
