Ask any seasoned domain investor how they price a name and the answer almost always comes back to one discipline: domain sales comps. Comparable sales analysis — the practice of pricing an asset by studying what similar assets actually sold for — is the same method real-estate appraisers and equity analysts rely on, and it is the single most defensible way to put a number on a domain. Algorithms guess; comps record reality. When you can point to three or four genuinely similar names that closed at a given range, you are no longer arguing opinion, you are citing the market.
This article is a practical walkthrough of how to run a comparable sales analysis on a domain. We will cover where the data lives, how to choose comps that are actually comparable, how to adjust for the differences between your name and the comps, and how to translate the result into an asking price and a walk-away floor. Whether you are valuing a single acquisition or a portfolio, mastering domain sales comps is the skill that separates disciplined investors from hopeful speculators.
Where Comparable Sales Data Comes From
You cannot do comps without a source of recorded transactions. Fortunately, the domain industry is unusually transparent about sale prices compared with most private-asset markets.
- NameBio is the central database of publicly recorded domain sales, aggregating reported transactions from major venues going back many years. It is the workhorse for nearly every serious comps analysis.
- Sedo and Afternic, the two largest aftermarket marketplaces, publish or report many of their completed sales, which flow into the public record.
- GoDaddy Auctions and registrar aftermarkets surface expired-domain and auction clearing prices, useful for the lower and middle of the market.
- Public sales reports — weekly roundups from industry publications — capture the high end that does not always hit the databases immediately.
The key limitation to remember: recorded sales are a sample, not the whole market. Many transactions close privately and are never disclosed, and confidential six- and seven-figure deals are systematically underrepresented. Comps therefore tend to describe the visible, liquid middle of the market well and the rarefied top imperfectly.
What Makes a Comp Actually Comparable
The whole method collapses if your comparables are not truly similar. A sale of a one-word .com tells you almost nothing about a three-word hyphenated .net. Good comps share the dimensions that drive price.
The dimensions that matter
- Extension: Compare .com to .com. A .com sale is not a clean comp for a .io or .co name; the multiplier between extensions is large and inconsistent.
- Length and word count: One-word names, two-word compounds, and short acronyms each trade in different ranges. Match structure to structure.
- Category and meaning: A finance keyword and a pet keyword can sell for wildly different amounts even at identical length. Stay within the same commercial vertical where possible.
- Quality signals: Dictionary word versus coined term, presence of numbers or hyphens, and brandability all shift the band.
- Recency: Markets move. A 2019 sale is weaker evidence than a 2024 sale in the same category, especially in fast-moving sectors.
A practical rule: aim for at least three to five comps that match on extension and structure and sit in a related category. Fewer than three and you are extrapolating; the wider your comps scatter, the less confident your conclusion should be.
A Step-by-Step Comps Workflow
Here is the repeatable process we use to price a name from comparable sales.
Step 1: Define the subject precisely
Write down the exact attributes of your domain: extension, word count, category, dictionary status, and any quality flags. This is your yardstick for selecting comps.
Step 2: Pull the raw comps
Search NameBio for the keyword, the second word, and structural patterns. Filter by extension and a reasonable date window — the last three to five years is a sensible default. Export everything that plausibly matches.
Step 3: Clean and trim
Discard sales that match on a keyword but not on structure or category. Flag obvious outliers — a single sale ten times above the cluster usually reflects a unique strategic buyer and should not anchor your estimate.
Step 4: Find the central tendency
Look at the median of your cleaned comps, not the mean; the mean is distorted by outliers, while the median describes the typical clearing price. Note the interquartile range as your “normal” band.
Step 5: Adjust for differences
Move your estimate up or down from the median based on how your name compares: shorter, cleaner, more commercial, or more brandable than the comps pushes you toward the top of the band; longer or weaker pushes you down.
Adjusting Comps: The Art Inside the Science
Two names that look similar on paper can justify very different prices once you account for the differences. Adjustment is where judgment enters, and it is what keeps comps from being a blind average.
- Premium for brevity: Each character dropped from a name typically widens the buyer pool and lifts price; a five-letter .com generally outvalues a nine-letter one in the same category.
- Premium for commercial intent: Keywords that signal a paying customer (finance, legal, medical, B2B software) carry higher end-user value than informational terms.
- Discount for friction: Hyphens, numbers, awkward spellings, and unusual extensions all reduce comparability and price.
- Time adjustment: In a heating category, nudge older comps upward; in a cooling one, discount them.
Document every adjustment. When you later justify an asking price to a buyer — or to yourself six months on — a written comps file with reasoning is far more persuasive than a number you half-remember choosing.
Turning Comps Into a Price
The output of comps analysis is not a single number but a defensible range with two anchors. The floor is roughly the lower quartile of your comps — the price at which similar names reliably clear, and therefore your walk-away point in a negotiation or your liquidation target. The ask sits at or above the upper quartile, leaving room to negotiate down toward the median while signaling that the name is a quality asset.
For a name with a clear strategic buyer, comps establish the floor and your buyer analysis sets the ceiling: comparable sales tell you what the name is worth to the average buyer, while the specific company that needs it may pay a large multiple of that. Always keep those two valuation lenses — market comps and buyer-specific value — distinct, because conflating them is how investors either leave money on the table or price themselves out of a sale.
Frequently Asked Questions
How many comps do I need to price a domain?
Aim for at least three to five genuinely comparable sales matched on extension, structure, and category. Fewer than three means you are extrapolating and should widen your confidence band. More comps tighten your estimate, but only if they are truly similar — ten loosely related sales are worse than four tight ones.
Where can I find domain sales comps for free?
NameBio is the primary public database and offers substantial free search; it aggregates reported sales from Sedo, Afternic, GoDaddy, and public reports. Marketplace sale histories and weekly industry sales reports supplement it. For confidential high-end deals, comps simply will not exist, and you must reason from adjacent public sales.
Should I use the average or the median of my comps?
Use the median. Domain sale distributions are skewed by occasional strategic outliers, which inflate the mean and mislead you. The median describes the typical clearing price, and the interquartile range gives you a realistic floor-to-ask band.
Why do similar domains sell for such different prices?
Because price is set by the buyer, not the name alone. Two near-identical names can diverge based on who needed them and when — one may have found a motivated end user mid-rebrand while the other cleared at wholesale. This is exactly why you trim outliers and lean on the central tendency of many comps.
The Bottom Line on Domain Sales Comps
Comparable sales analysis is the most defensible valuation method in domain investing because it grounds your price in transactions that actually happened rather than in algorithmic guesses or wishful thinking. The discipline is straightforward: source recorded sales from NameBio and the major marketplaces, select comps that genuinely match on extension, structure, and category, trim the outliers, anchor on the median, and adjust thoughtfully for the ways your name differs. Done well, domain sales comps give you a floor you can hold in a negotiation and an ask you can justify with evidence — turning pricing from a gut feeling into a repeatable, defensible process.
