General
Overview
This guidebook is a working reference for Auto-margin users. It explains how the tool evaluates a vehicle, what input data produces reliable results, and how to interpret the output.
Sections in this guide
- How to use optimally - required and recommended input data, the evaluation workflow, and how to read results.
- Find dealers - applicable to users conducting B2B outreach. Skip if selling direct to end customers.
- Is my car good? - a decision framework for evaluating individual vehicles.
Core principle
Auto-margin compares the vehicle being evaluated against live listings in a selected target market. The output is a market price band, a confidence level based on the number of comparable listings found, and - when an asking price is provided - a margin estimate.
- The quality of the output depends directly on the quality of the input. Incomplete vehicle data produces wide, less actionable price bands. Complete data produces tight, actionable ones.
- A wide price band reflects an actual wide market spread. It is information, not an error.