Sage Price™

About This App
  • Mileage is the only objective and comparable quantitative factor which can be applied to define the value of any vehicle. The app uses two models to extract base mileage values upon which additional price factors can be layered.
  • The ‘0 Rank’ model uses Sage Rank logic to determine a price based upon the distribution of the market inventory. It extracts what the price should be at the stated mileage using the matching range values at ‘0 Rank’.
  • The ‘Linear’ model applies linear regression to the market inventory’s price and mileage pairs to determine the impact of mileage on price. It is a traditional model which estimates the price without consideration of distribution.
How It Works
  • Submit a VIN, the vehicle’s price and actual mileage.
  • The ‘0 Rank’ model extrapolates a price based on what distribution range the mileage falls in. It ignores price and mileage combinations which are outside of this match up of distribution ranges. It is a more narrow view of the market, focused solely on that distribution range of the market which is representative of the subject vehicle’s mileage.
  • The ‘Linear’ model extrapolates a price by examining every combination of price and mileage in the market inventory. It widens the view by ignoring the confinement of the distribution overlay and instead considers the entire market as the range, making it representative of the entire market.
View A Video On Using This App
How To Apply This App
  • This app generates two pricing estimates based upon the distribution of mileage in the market. These estimates form a market inventory based foundation upon which can be added or subtracted additional value for vehicle specific factors. The two models can also be combined to create a price range estimate.
  • Both pricing models calculate the spread between the model estimated price and the stated price. This unexplained price difference is the variance between the pricing model estimate of the consensus market value and what the price setter believes the price should be. These unexplained value factors might include qualitative and quantitative value components such as non-normal condition, ownership history, extraordinary build specifications, a seller profit target, strategic market positioning, etc.
  • The ‘0 Rank’ model extrapolates a price at a given mileage based on what distribution range the mileage falls in. The ‘0 Rank’ price represents what the price should be when the price creates a ‘0 Rank’ given the vehicle’s mileage range. It ignores price and mileage combinations which are outside of this logically derived match up of distribution ranges. It is a more narrow view of the market focused solely on that range of the market which is representative of the subject vehicle’s mileage.
  • The ‘Linear’ model extrapolates a price by examining every single combination of price and mileage in the market inventory. It widens the aperture by ignoring the logical confinement of the distribution overlay of the 0 Rank model. In this model the entire market is the range making the result more representative of the market as a whole. In terms of the impact of mileage on price it does not apply any specific logic related to market inventory distribution.
  • Click the button links to the Valuation Kit App to compare the estimates generated by the models to the current market.
  • Not all models are available in this application. Some bodies are combined into ALL for the body parameter in order generate statistically valid results. View the covered models list..

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