US
CA
See Demand as It Forms—Not After It Peaks
Which vehicles are heating up, where, and for whom?
Get a real-time read on what shoppers want—by model, trim, price range, and region. Using live listing activity and demand signals, VinAudit market data helps analysts and OEM teams spot rising demand, size the opportunity, and plan supply, pricing, and campaigns with confidence.
Why VinAudit? Clients who compared providers told us our Total Market Feed surfaced more VINs, more dealers, and more fields across their test markets—giving analysts a fuller, cleaner picture to work with. Our data turns market trends and consumer behavior into clear signals—so you see demand as it forms, not after it peaks.
This is a fast read: first, the signals; then how teams use them; finally, how the data lands in your tools.
Signals You Can Track at Scale
VinAudit market signals standardize live listings into counts, rates, and percentiles—so you can see where demand is building, where supply is tightening, and how fast comparable vehicles sell. They’re designed to be quoted, charted, and acted on.
For definitions and delivery details, see the Automotive Market Data Feeds pillar.
| Signal | What It Tells You |
|---|---|
| Active listings & inflow/outflow | How much supply enters or leaves the market by model and region. |
| Days on Market (DOM) | How quickly comparable vehicles sell—an early velocity barometer. |
| Market Days Supply (MDS) | Whether supply is tight or saturated at the current sales rate. |
| Price bands & movement | Local low/mid/high ranges and how they shift week to week. |
| Trim/feature share | Which configurations gain share (e.g., hybrid, AWD, premium pkg). |
Because they’re delivered as clean, consistent metrics, these signals trend cleanly week over week—making it easier to forecast and to “stock what sells.” Next: how analysts and OEM teams turn them into allocation, build-mix, and promotion-timing decisions.
Who Uses These Trends—and What They Do
With Them
One set of signals—DOM, MDS, price movement, and trim/feature share—flowing to different teams, each with a clear job to do.
- OEM & Strategy: Set direction (price ranges, priorities) using national MDS/DOM and trim-share trends.
- Product & Trim Planning: Grow build for fast-rising configs; cap long-tail variants based on regional demand and price bands.
- Regional Sales & Allocation: Route inbound units to ZIPs with tight MDS and strong sell-through.
- Marketing: Aim spend at hot ZIPs, highlight in-stock vehicles, and time offers where demand softens.
- Forecasting & Analytics: Feed DOM/MDS trendlines into volume and revenue outlooks to catch shifts early.
- Dealer Operations: Publish simple “what’s selling” lists; guide stocking, transfers, and aging control to match local demand.
Example: Compact hybrids show a 30-day DOM drop and MDS < 20 in the Upper Midwest—shift more units there, feature payment-based offers, and brief stores to hold price while velocity stays high.
Takeaway: Same feed, shared truth—so what to build, where to send it, and when to promote stay aligned across the organization.
Getting the Data Where You Work
No new software required. VinAudit delivers fresh market facts; you analyze them in the tools you already use.
- ✅ Delivery: API or scheduled files (CSV/JSON).
- ✅ Filters: By model/trim, price band, region, and time window.
- ✅ Cadence: Updated daily by default for consistent trendlines.
- ✅ Ready for analysis: Deduped, normalized attributes—clean joins to sales, build, and media data.
Quick workflow: Pull weekly trends → refresh dashboards (MDS/DOM, price bands, trim share) → publish guidance by region and nameplate.
Next Steps
Market Trends & Buyer Insights FAQs
What makes these trend signals reliable?
They’re built from multi-source listings, deduped and normalized, then summarized into stable counts, rates, and percentiles—so markets are comparable over time and across regions.
How often do the trends update?
Daily by default. That gives clear week-over-week movement without noisy spikes.
How is Days on Market (DOM) calculated for the trends?
We measure each VIN’s observed span online (first seen → most recent), then roll those VIN-level spans up to medians by model/trim/region for velocity comparisons.
Can we break trends down by trim, feature, or price band?
Yes—filter by trim, drivetrain/fuel type, common packages, price bands, region, and time window to see where shopper interest is rising.
How do you avoid double-counting when a VIN is advertised by multiple dealers?
We track all advertising dealers and use an attribution score to select the most likely store/location. That keeps regional MDS/DOM and price trends accurate.
How do teams use this beyond dashboards?
Guide build-mix and allocation, time promotions, publish “what’s selling” guidance to dealers, and feed the signals into forecasting and media planning.
The most comprehensive Automotive Data & Analytics
- Automotive Market Trends & Insights
- Research & White Papers
- Auto Market Analytics Articles
- VIN Decoder & Lookup
