The industry’s definitive valuation authority.

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Our value guide is built on a high-performance predictive analytics platform that uses automated machine learning to analyze and report on millions of transactions. We report three values: Original MSRP, Private Party and Trade-in.

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MSRP

Original manufacturer's suggested retail price

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Private Party

What your bike is worth if you sell it on your own.

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Trade in

The amount you can expect to receive in store credit when trading in your bike with a dealer.

This is how it works

We use a combination of the following three factors to report the most accurate bicycle values avaiable:

Transaction Reporting

Based on milions of used bicycle transactions over twenty year on tens of thousands of diffirent bicycles, our scientists report on used bicycle market trend. Since used-bikes typically sell below their asking price, our analysis tracks actual sale prices to determine Private Party Value.

Real-time Algorithm

Our algorithm considers a bike's age, brand, type, frame material, suspension, condition, components, wheel size, modifications, manufacturer and retailer discounting and the depreciation that occurs as soon as a new bike is purchased.

Industry Expertise

Our industry experts have worked across every aspect of the bicycle industry. They vet and validate our algorithmically generated values to ensure they accurately reflect market trends.

Similar to the automotive and technology industries, the delta between Private Party and Trade-in values stems from customer benefits and re-seller hurdles.

Customer Benefits

Certified third party valuation, immediate application of your bike's value to a new bike purchase, safe and convenient transaction with a reputable dealer.

Reseller Hurdles

Online selling fees, listing creation, disassembly, packing, shipping time and cost, insurance, price negotiation, time investment, return management, tire kickers, low-ball offers.

Example

BMC Trackmachine 02 One

MSRP
$1,899
Private
$1,208
Trade
$746
Private Party Value is based on the aggregate of used bicycle sales data. For example, this bike privately sold in the last 12 month for a low of $850 and a high of $1,250.