DomainTier
Sign in Sign up
Domain valuation · v3.2
https://
Analyzing scanning comparable sales
DOMAINTIERVALUATION / 001
domain
example.com
$0
Market value · 0% confidence
Floor
$0
Premium
$0
Liquidity
High
Classification
Form
Type
Length
Frequency
Market position
Category
Brand
Buyer pool
TLD
History
Age
Holder
commentary calculation comparables tradeoff stability 3 credits per full report · see plans

Every valuation is anchored in evidence — the comparable recorded sales, the price band, and an honest confidence score behind the number, never a black-box figure.

The estimate weighs the name's structure, its demand signals, and the closest documented transactions. Where a prior sale exists it anchors the figure; where it doesn't, the model and comparable evidence carry it.

Search a domain above to see its evidence-anchored valuation.

Calculation

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

Formula
$$ V_{\text{disp}}(d) \;=\; \bigl(\mathcal{B}\circ\Pi_d\circ\mathcal{S}_p\bigr)\bigl[\,\text{val}(d)\,\bigr],\ \mathit{where}\ \text{val}(d)\;=\;a(d)\,\vee\,\varphi(d)\,\vee\,m_v(d) $$
For d = —: basis = · \( m_v \) = · \( \varphi \) =
Expanded
Numerical evaluation
Where
\( d \in \mathcal{D} \)
queried domain over the space of registerable names
\( V_{\text{disp}}(d) \)
displayed triple: \( [\,\text{Liquidity Floor},\ \text{Market Value},\ \text{Strategic Premium}\,] \)
\( \text{val}(d) \)
wholesale base — the max-join \( a(d)\vee\varphi(d)\vee m_v(d) \) (documented sale, floor, model)
\( a(d) \)
prior-sale anchor; trusted when recent (\(\le 2\)yr), banded to \(4\times\) the model when stale, void otherwise
\( \varphi(d) \)
wholesale floor: join over scarcity, recognition, tld-class, entity-demand and llm signals
\( \mathcal{X}(d),\ \Sigma[\cdot] \)
the methodology’s computed estimate (log-price space) and the calibration mapping it to dollars
\( m_v(d) \)
calibrated base estimate \( \Sigma[\mathcal{X}(d)] \); surfaced in the report as “comparable sales”, drawn from 1.3M recorded transactions
\( \mathcal{S}_p[\cdot] \)
spread lift; per-cohort factor \( \kappa_{\mathcal{S}}=s_p^{\,p_{\text{ret}}}\approx 1.05 \), mapping wholesale toward market
\( \Pi_d \)
ordered, gated node chain; per-domain lifts and caps, identity for any node that does not fire
\( \mathcal{B}[\cdot] \)
display band \( M\mapsto[\,\lambda^{-}M,\ M,\ \lambda^{+}M\,] \); ratios read from this domain’s tiers
reported separately
confidence \(\kappa(d) \in [0,1]\) is shown alongside the value, not multiplied into it
Breakdown

Factor scores

Nine factors, weighted in the final number.

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.

Price ↔ time-to-sale tradeoff

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

Comparable sales

Ranked by relevance × recency.

Domain Price Date Venue Match Rel.

Comparable sales · scatter

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

recorded sale anchor sale this valuation category trend

Confidence

Category distribution

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

Percentile
Sample
Median
90th
Max
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.

Valuation stability

How much this estimate would shift if new evidence arrived.

volatilefragilestablelocked
Supporting evidence

Registration

WHOIS snapshot.

yrs
registered
Created
Expires
Registrar
Years remaining
Lifespan
Name servers — click to examine live DNS