
Overview
Data Axle’s AI-powered insurance audiences identify consumers with high intent to purchase, switch, or expand insurance coverage across auto, home, life, and health lines. Built using behavioral, transactional, and lifestyle indicators, these audiences enable precise, personalized outreach for acquisition, upsell, and retention. Available as prebuilt or custom segments, they’re activation-ready across digital and offline channels and refreshed regularly for performance.
About Data Axle
Data Axle, formerly Infogroup, has been a trusted provider of data-driven solutions since 1972. With coverage of over 95% of U.S. adults and households, we integrate deterministic offline sources—such as property ownership, utility connects, voter files, and consumer transactions—with behavioral and modeled signals to build enriched, actionable consumer profiles.
What Sets Us Apart:
- Trained on expansive, privacy-compliant offline PII datasets
- AI scores each individual (0–1) for insurance-specific intent
- Combines transactional, behavioral, and life-stage indicators
- Built for scalable segmentation, enrichment, and omnichannel activation
- Supports custom audience creation by line, geography, or carrier model
Key Attributes
- Insurance product behavior and modeled propensity by line
- Carrier switching signals and crossline coverage gaps
- Homeownership, vehicle ownership, household income, family stage
- Health coverage signals including Medicare and supplemental plan interest
- Life event data (new parents, retirees, recent movers) triggering insurance needs
- Engagement with financial, loyalty, and online comparison platforms
Segment Categories
Each category includes multiple AI-scored segments – below are illustrative examples and business applications. New categories are released regularly.
- Auto Insurance Intenders – In-market for auto coverage; includes new car buyers, carrier switchers, and multi-policy prospects
Use case: Target for quote comparison tools, mobile-first sign-up, or usage-based policies.
- Homeowners & Property Coverage Seekers – Homeowners, buyers, and renovators exploring homeowners or renters’ coverage
Use case: Promote bundled savings with auto/home or competitive rate switches.
- Life Insurance Buyers – Individuals at transitional life stages (e.g., parenthood, retirement, home purchase) seeking protection plans
Use case: Align offers to term, whole, or universal products with education content.
- Health & Medical Policy Shoppers – Consumers actively comparing health, dental, vision, and supplemental policies
Use case: Engage during open enrollment, Medicare enrollment, or life-stage triggers.
- Multi-Line Policy Holders & Cross-Sell Targets – Current policyholders with high potential to add additional coverage lines
Use case: Power cross-sell campaigns using policy gap intelligence.
- Brand Switchers & Rate Shoppers – Price-sensitive or dissatisfied consumers showing strong likelihood of switching providers
Use case: Trigger competitive displacement campaigns with aggressive offer messaging.
Key Features
- AI-modeled insurance intent scoring by product line
- Enriched with over 100 data sources (property, auto, household, credit proxies)
- Captures brand loyalty, bundling likelihood, and switching behavior
- Turnkey and customizable segments available
- Deployable via HEMs, identity spine, match keys, or platform connectors
Use Cases
- Launch intent-based acquisition campaigns by insurance type
- Increase cross-sell of home + auto or life + health coverage combinations
- Improve quote-to-bind conversion by targeting high-scoring segments
- Activate churn-prevention flows using early switching indicators
- Personalize onboarding or renewal journeys based on policyholder profile
- Support lead scoring and routing for digital insurance platforms
Next Steps
- Request listing access
- Data Axle team will contact you to finalize audience, data cut, and delivery method / frequency
- Need a Custom Audience? Tailored segments delivered within 5–10 business days .
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Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
MKT_INSURANCE_BUYERS | Last 1 revisions | All future revisions | Not included | Not included |
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