Methodology

How a defensible consignor quote is built

Named factors on sold comparables — not a haircut from original retail, and not unpublished weights.

2ND /NSIGHTS builds a consignor quote from sold comparables that match the piece on the desk. The method is a set of named filters — condition band, sold recency, completeness, and channel — then a sold band from those transactions. It is not a percentage of original retail. It is not a secret score with unpublished weights.

The catalog in this version is handbags and watches: 40K+ items, human-verified so the comparable in front of you is actually comparable. The intelligence is cross-market. We do not name the collectors we read. Pricing intelligence is informational: it does not guarantee a sale, a consignor acceptance, or a particular margin.

This page is the durable public method. The floor playbook — identity, condition, completeness, sold-comparables window, local demand, and quote/ask split — is the journal article on how to build a defensible consignor quote. The software brief is on the product page.

The factors that shape the number

These are filters on the sold set, not coefficients in a published formula. Change one, and which transactions remain — and therefore the band — can move.

Condition band

Grade in house convention. The sold set is filtered to the same condition band as the piece on the desk. Better grades typically clear higher. When the exact band is too thin, neighboring grades may be included; that widening is disclosed, and is never presented as an exact-grade set.

Sold recency

Only solds inside a recent window count. Asking screenshots and transactions from another season are not the same market. In the product that window is commonly 30 or 90 days. Older solds are excluded from the band, not down-weighted on a published curve.

Completeness

What travels with the piece — dust bag, box, card, papers, links — changes which solds belong in the set. Completeness can be filtered. Missing pieces are not footnotes.

Channel

Solds are read across resale channels. A house can narrow the set by channel. The floor conversation still does not name collectors. Channel is a filter, not a league table.

How the sold band is built

Match the product first. Apply the filters. Count the remaining solds. If too few remain, the band is withheld and labeled insufficient — the desk is not given invented precision. If enough remain, the sold band is the lower, middle, and upper quartiles of those sold prices.

Available listings are never mixed silently into that band as if they had sold. The house may lean the ask toward the lower, middle, or upper part of the band; that is a desk choice on the band, not a change to how the band is built.

We do not publish numeric factor weights. None have been approved as a public formula. The method is filters, then quartiles of the remaining solds.

Retention versus retail

Original retail is a first-market memory. A consignor quote is a second-market number: what matching pieces recently sold for, in matching condition and completeness. Retention versus retail can be discussed after that reading — as a qualitative check, not as a formula that produces the quote. We do not publish a retention rate. We do not quote as a haircut from MSRP.

What this page does not claim

  • Rejection rates, realised prices, or a guaranteed sale, consignor acceptance, or margin
  • Marketplace laundry lists — the intelligence is cross-market; we do not name the collectors we read
  • A public catalog, a point-of-sale system, or a consumer appraisal app
  • Numeric factor weights or a retail-percent rule
  • A catalog size we do not have

Frequently asked questions

What is a defensible consignor quote?

A number the house can stand beside at the counter: sold comparables that match the piece, filtered by condition band, sold recency, completeness, and channel, then split into consignor quote, window ask, and house margin. It is not last week’s screenshot. It is not a percentage of original retail.

Which factors shape the number?

Four named filters: condition band, sold recency, completeness, and channel. Identity must match first. When enough sold comparables remain, the sold band is the lower, middle, and upper quartiles of those sold prices. We do not publish numeric weights for those factors.

Do you publish numeric weights for those factors?

No. None have been approved as a public formula. The method is filters, then quartiles of the remaining solds. Thin sets are labeled insufficient rather than dressed up as a score.

Is the quote a percentage of original retail?

No. Original retail is a first-market memory. A consignor quote is a second-market number: what matching pieces recently sold for. Retention versus retail can be discussed after that reading as a qualitative check. We do not publish a retention rate, and we do not quote as a haircut from MSRP.

Do you publish marketplace names?

No. The intelligence is cross-market. We do not name the collectors we read.

What happens when sold comparables are thin?

The market band is withheld and labeled insufficient. Neighboring condition grades may be included when the exact band is too thin; that widening is disclosed. Floor judgment is then explicit. Pricing intelligence does not invent precision from a short set.

How do I start a trial?

Start a trial from the price page or at https://app.2ndinsights.com/onboarding/signin. Core and Plus have no Access Pending approval gate. Ultra is a conversation. Book a demo at https://cal.com/lyrold/2ndinsights, or write contact@2ndinsights.com.

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