DomainTier — evidence-based domain valuations anchored in 1.3 million recorded sales.

Domain valuation · v3.2

Analyzing scanning comparable sales

DOMAINTIERVALUATION / 001

domain

example.com

Market value · 0% confidence

Floor

Premium

Liquidity

High

Classification

Form

Type

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Length

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Frequency

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Market position

Calculation

The simplified formula for this domain's value, with the derivation behind the icon.

Formula

$$ V_{\text{disp}}(d) \;=\; \bigl(\mathcal{B}\circ\Pi_d\circ\mathcal{S}\bigr)\bigl[\,\text{val}(d)\,\bigr],\ \mathit{where}\ \text{val}(d)\;=\;a(d)\,\vee\,\varphi(d)\,\vee\,\hat{m}(d)\,\vee\,A(d) $$

For d = —: basis = — · $ m_v $ = — · $ \varphi $ = —

Expanded

Numerical evaluation

Where

$ d \in \mathcal{D} $

The namethe queried domain, one point in the space of every registerable name

$ \text{val}(d) $

Working valuethe strongest of four independent reads — sale, floor, estimate, appraisal — selects the basis. On every path but one, val is that max itself; on the appraisal path the blend produces the market directly and val back-derives as $ M/\mathcal{S}_p $. The evaluation shows which form ran

$ a(d) $

Documented salethe name's own sale record. A recent sale anchors, blended against the name's evidence; an out-of-line price is investigated, never echoed. Stale sales are held to a band.

$ \varphi(d) $

Wholesale floorthe highest structural floor: scarcity, recognition, extension class, real-entity demand

$ \hat{m}(d) $

Comparable-sales estimatethe calibrated read $ \Sigma[\mathcal{X}(d)] $ of the name's nine-factor profile, drawn from 1.3M recorded transactions

$ A(d) $

Expert appraisala rubric read of brandability and commercial pull, calibrated on real retail sales. Never adopted verbatim: it blends $ A^{w}\, m_r^{1-w} $ against the evidence market $ m_r $ (the retail step applied to the pre-appraisal value). Lift-only; when a recent sale is on record it corroborates that sale instead, and the two roles never stack.

$ \mathcal{S}[\cdot] $

Retail step$ \max(v\, s_p^{\,p_{\text{ret}}},\ v\,L_{\text{grade}}) $: the class's fitted spread, tamed by its sell-through — or the demand-graded spread when the name's measured liquidity supports more. The evaluation names the arm that bound

$ L_{\text{grade}} $

Demand-graded retail spreadan alternative retail step for thin-evidence names: $ L $ set by the name's measured liquidity grade (A/B 1.6 · C 1.5 · D 1.25 · F 1). The retail step takes $ \max(v\,s_p^{\,p_{\text{ret}}},\ v\,L) $ and the evaluation names whichever bound

$ \Pi_d $

Refinement chainordered, class-gated lifts and caps; identity for anything that doesn't fire

$ E,\ I $

Blend readsthe premium-word blend's two retail reads: $ E $, the structural read of the word at retail, and $ I = \hat{m}\cdot s_p $, the estimate at the full channel spread. Weighed $ E^{w} I^{1-w} $ with $ w $ set by the word's measured demand

$ \mathcal{B}[\cdot] $

Display band$ M\mapsto[\,\lambda^{-}M,\ M,\ \lambda^{+}M\,] $: Liquidity Floor · Market Value · Strategic Premium, with ratios from this name's own tiers

$ \kappa(d) $

Confidencehow sure the read is, shown beside the value and never multiplied into it

Breakdown

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Factor scores

Nine factors, weighted in the final number.

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Buyer-pool depth

How many industries could plausibly brand on this word.

— / 1.00

Above 0.7 means strong cross-industry demand — sustains pricing across verticals.

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Price ↔ time-to-sale tradeoff

The inverse relationship: list lower, sell faster; list higher, wait longer. The middle marker is our recommended price.

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Comparable sales

Ranked by relevance × recency.

Domain	Price	Date	Venue	Match	Rel.
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Comparable sales · scatter

Where this valuation sits relative to recorded comparable sales. The trend curve shows the linear fit through observed prices over time.

Concept associations

Related concepts that inform buyer and use-case understanding, not pricing.

Confidence

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Category distribution

Where this domain sits in its category. The marker shows its percentile.

Percentile

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Sample

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Median

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90th

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Max

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Research

What this name points to in the real world — verified use first, then known namesakes.

↑

Ceiling pressure

Why not higher

↓

Floor support

Why not lower

Who shouldn't buy this

Friction signals — buyers for whom the price-to-fit ratio is poor.

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Valuation stability

How much this estimate would shift if new evidence arrived.

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volatilefragilestablelocked

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Supporting evidence

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Registration

WHOIS snapshot.

— yrs

registered

Created

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Expires

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Registrar

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Years remaining

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Lifespan

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Name servers — click to examine live DNS

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