
Overview
Data Axle’s Automotive Audiences enable OEMs, dealerships, insurers, and aftermarket brands to identify and reach high-intent consumers based on AI-inferred vehicle behavior, ownership signals, lifestyle preferences, and switching propensities. From EV shoppers to lease-end switchers, these segments deliver cross-channel reach into verified, behaviorally aligned personas primed for automotive engagement.
About Data Axle
Data Axle, formerly Infogroup, has been a trusted provider of data-driven solutions since 1972. It has coverage of over 95% of U.S. adults and households. Data Axle combines deterministic offline and online sources-voter files, utility connects, real estate, and more—to create enriched, actionable consumer profiles which can be consumed directly.
What sets us Apart:
- Unlike traditional forecasting models built on static rules or demographics, our AI engine continuously learns and adapts, using thousands of behavioral, attitudinal, and transactional signals to generate nuanced audience definitions
- Trained on expansive offline PII data, utilizing all signals (not just age/income)
- Scores every individual (0–1) by propensity to act
- Optimized for personalized targeting, next-best action, and cross-sell models
- Built for scalable segmentation, enrichment, and omnichannel activation
Key Attributes:
- Vehicle ownership type, make, model, fuel type (EV, PHEV, Hybrid, Gas, Diesel)
- In-market intent for lease, purchase (new/used), or upgrade
- Vehicle switching indicators (import ↔ domestic, ICE ↔ EV)
- Insurance carrier affiliation and loyalty behavior
- Garage size, household vehicle count, commute distance
- Lifestyle traits: off-road, boating, outdoor travel, DIY auto enthusiast
Segment Categories:
- In-Market Vehicle Buyers – High-propensity shoppers for new, used, EVs, trucks, or SUVs
- Vehicle Switchers – Consumers showing behavior to change brand, fuel type, or drivetrain
- Luxury & Performance Seekers – Targeting buyers of BMW, Audi, Tesla, Porsche, etc.
- Electric & Hybrid Vehicle Shoppers – Interest in sustainability, EV tax credit, or utility cost reduction
- Lease-End Switchers – Likely to churn from leases or trade-ins within 3–6 months
- Auto Insurance Optimizers – Multi-policy holders or price-sensitive switchers
- DIY Auto Enthusiasts – Car part purchasers, garage hobbyists, and performance tuners
- Frequent Drivers & Commuters – Long-distance drivers, rideshare participants
- Multi-Vehicle Households – Targeting second car, RV, boat, or recreational vehicle buyers
- Auto Lifestyle Segments – Off-roaders, car club members, performance fans
Key Features:
- AI-modeled propensity scores per individual (0–1 scale)
- Access to 100+ offline sources including title, registration, utility connects, and lifestyle flags
- Updated vehicle ownership and shopping behavior across national coverage
- Supports custom audience creation and omnichannel deployment
- HEM and match-key delivery support for seamless activation
Use Cases:
- Target in-market EV and hybrid buyers with precision
- Launch brand conquest campaigns for switching drivers
- Optimize lead targeting for dealerships, insurance partners, and finance providers
- Build predictive retention models based on vehicle tenure and lifestyle
- Personalize creative and channel mix based on automotive behavior and brand affinity
- Deploy prequalified audiences across email, direct mail, programmatic, and CTV
Next Steps:
- Request listing access
- Data-Axle team will contact you to finalize audience, data cut, and delivery method / frequency.
- Need a Custom Audience? We deliver tailored segments within 5–10 business days
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You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
MKT_Auto_Inteliigence | Last 1 revisions | All future revisions | Not included | Not included |
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