REPORTS
Compass Feeds
Why Choose Compass Feeds
Analysts spend ~70% of project time scrubbing web-scraped listings.
Our feed ships that work pre-done so analysts can start modeling the day the data lands.
Data Hygiene
De-duped, canonical VIN decoding, taxonomy alignment, outlier removal already handled. Move straight to modeling.
Complete Coverage
7M vehicle listings, 95K dealerships, 100K+ franchise & independent rooftops across US, CA, UK. Back-filled to 2015 and refreshed daily.
Flexible Grain
Aggregate up to dealer-group or OEM, or zoom into a single trim at dealerships within a zip-code. Complete analytical flexibility.
Analysis-Ready
Drop the feed into Python, Tableau, SPSS, or Excel. Each row is a vehicle on a day, allowing for immediate analysis without data scrubbing.
Weeks Ahead
Surface market signals – production cuts to EV adoption – long before they appear in official OEM or dealer-group reports.
Consistent History
Files arrive on rolling schedule with past data intact. Time-series tests run smoothly with locked schema across drops.
Proven Use Cases
From factor research to event studies, see how leading funds and analysts leverage VIN-level data for competitive advantage.
Track Dealership Performance
Compare dealer-by-dealer results to spot differences in sales pace, pricing, and stock turnover.
- Example: Identify which dealers move similar models faster to uncover best-practice strategies.
Track Fast vs. Slow Movers
Compute days-on-site by VIN, then rank models to guide pricing or stocking calls.
- Example: Identify F-150s sitting 90+ days in Texas markets vs. selling within 30 days in California.
Gauge Regional Demand
Roll VIN counts by state to see where inventory piles up or sells out.
- Example: Track EV inventory buildup in non-ZEV states vs. rapid turnover in California/New York.
Build Depreciation Curves
Pair each VIN’s list and sale prices over time to model residual values by trim.
- Example: Model Tesla Model 3 depreciation curves by battery configuration and manufacturing year.
Dealer Group Analysis
Analyze performance metrics across dealer networks and franchise groups.
- Example: Compare AutoNation vs. Lithia inventory turns for Toyota RAV4 across regions.
Factor Research
Roll VIN observations to dealer group or OEM level to build inventory-turn and discount-velocity factors.
- Example: Create portfolio factors based on inventory aging patterns across auto retail stocks.
Technical Specifications
Enterprise-grade data infrastructure designed for quantitative analysis and factor research.
1 VIN × 1 Calendar Day
Record Grain
Each row represents a unique vehicle on a specific date.
40+ Data Points
Field Count
Comprehensive vehicle and market attributes per record.
100K+ Rooftops
Coverage
Franchise & independent dealers across US, CA, UK.
Back to 2015
History
Daily refresh with complete historical backfill
Core Data Points
Pricing
- List Price
- MSRP
- Transaction Price
- Price History
- Days on Lot
Vehicle Details
- VIN
- Year
- Make
- Model
- Trim
- Engine
- Fuel Type
- Body Style
Location Data
- Dealer ID
- Dealer Group
- Geographic Tags
- Zip Code
- State/Province
Market Signals
- First Seen Date
- Delist Timestamp
- Incentive Flags
- Recall Status
Corporate Data
- Ticker Mappings
- OEM Classifications
- Franchise Type
- Change Log
Delivery & Integration
SFTP
Encrypted file transfer protocol.
AWS S3
Secure bucket delivery with partitioned folders.
Snowflake Share
Direct data warehouse integration.
Ready to Get Started?
Join leading funds and analysts who rely on Compass Feeds for market intelligence.
Download a sample dataset and see the difference VIN-level data makes.
