December 20 Domain Market Analysis: 481 Sales Reviewed

[CashproofAi]

December 20 Domain Market Analysis: 481 Sales Reviewed​

On December 20, 2025, the domain aftermarket recorded approximately $414,000 in reported sales, according to the official NameBio daily market reports. This article reviews all 481 domain sales listed in that report. Each sale was examined one by one, with no sampling, estimation, or selective inclusion.

A common discussion point in domain forums is whether short or single-word domains dominate real aftermarket performance. To examine that idea, domains in this report were classified by semantic meaning, not by visual compactness or character count. Joined words were separated where they clearly carried independent meaning, while acronyms, numbers, and coined terms were treated as indivisible units.

Some domains are difficult to classify due to non-dictionary wording, abbreviations, or linguistic ambiguity across languages. In such cases, conservative judgment was applied. When doubt existed, domains were excluded from narrower categories to avoid overstating results. The purpose of this analysis is transparency and accuracy, not promotion or recommendation.

Section A — Market Distribution & Value Summary​

Category​	Domains Sold​	Market Share​	Average Sale Price​
1-Word Domains	63	13.10%	$2,735
2-Word Domains	151	31.40%	$1,221
3+ Word Domains (Long-Tail)	267	55.50%	$882
Total Domain Sales	481	100%	—

Logic derived from raw data. Details here

 

[bmugford]

Remote Year aside, as that was a developed website that recently shut down, most of the others could plausibly have been sold for generic / brand / short reasons.

Also, not sure "Remote Year" is one word.

The same can be said with these ones. Most likely sold for generic value.

Now, if you look at the longtail sales very few of these are related to the generic value.

If you are investing in domains for generic reasons, these type of sales are irrelevant.

They only matter to people investing for SEO reasons like traffic, backlinks, domain authority, etc.

 

[Simon SE]

Congrats. You have won the award for Top poster of erroneous facts 2025.

 

[CashproofAi]

Remote Year aside, as that was a developed website that recently shut down, most of the others could plausibly have been sold for generic / brand / short reasons.

Also, not sure "Remote Year" is one word.

Show attachment 290591

The same can be said with these ones. Most likely sold for generic value.

Show attachment 290592

Now, if you look at the longtail sales very few of these are related to the generic value.

If you are investing in domains for generic reasons, these type of sales are irrelevant.

They only matter to people investing for SEO reasons like traffic, backlinks, domain authority, etc.

Show attachment 290593

The methodology for classifying 1-word domains was clearly disclosed at the beginning of the article, before any data or conclusions were presented. Domains were classified by semantic indivisibility, not by visual spacing or dictionary formatting, and that standard was applied consistently across the entire dataset.

The analysis does not hinge on any single sale. Even if RemoteYear is excluded, the market distribution, averages, and conclusions remain unchanged. The article is not advocating for one investment style over another; it documents what sold, based on a closed and complete NameBio dataset.

Buyer intent—whether branding, SEO, authority, geography, or utility—is not recorded by NameBio and cannot be reliably inferred after the fact. Dismissing completed sales as “irrelevant” because they don’t fit a preferred strategy does not invalidate the data; it only narrows the interpretation.

This is a market analysis, not an investment thesis. The conclusions follow directly from the disclosed methodology and observed transactions, and no selective framing was used.

 

[CashproofAi]

Congrats. You have won the award for Top poster of erroneous facts 2025.

Show attachment 290595

Sarcasm isn’t a rebuttal. The report is based on a closed NameBio dataset, a disclosed methodology, and verifiable counts. No factual errors have been identified—only dismissal. Until data is shown to be wrong, the analysis stands on evidence, not personalities.

 

[Simon SE]

Sarcasm isn’t a rebuttal. The report is based on a closed NameBio dataset, a disclosed methodology, and verifiable counts. No factual errors have been identified—only dismissal. Until data is shown to be wrong, the analysis stands on evidence, not personalities.

You fall at the first hurdle every time on something so basic as whether a domain is one word or two words. I can therefore have no confidence in your data. This has been pointed out numerous times. Since you don't listen to direct advice I thought maybe you will prefer a visual proof.

 

[CashproofAi]

You fall at the first hurdle every time on something so basic as whether a domain is one word or two words. I can therefore have no confidence in your data. This has been pointed out numerous times. Since you don't listen to direct advice I thought maybe you will prefer a visual proof.

The classification standard was stated clearly at the very beginning of the article: domains were categorized by semantic indivisibility, not by visual spacing, dictionary formatting, or post-hoc interpretation. That methodology was applied consistently across all 481 sales.

Disagreement with the definition does not constitute a data error. No miscounts have been shown, no omissions identified, and no internal inconsistencies demonstrated. Repeating the same objection or presenting “visual proof” based on a different standard does not invalidate an analysis that explicitly declares its own framework upfront.

If someone prefers an alternate definition, they are free to reclassify the same dataset using that rule and publish their results. Until then, the data stands as analyzed under the disclosed methodology.

 

[Simon SE]

sorry bud but Remote Year is clearly two words, no matter how you define it.

 

[bmugford]

Buyer intent—whether branding, SEO, authority, geography, or utility—is not recorded by NameBio and cannot be reliably inferred after the fact. Dismissing completed sales as “irrelevant” because they don’t fit a preferred strategy does not invalidate the data; it only narrows the interpretation.

Nah. The issue is your lack of experience in the field.

With enough experience, it becomes relatively easy to understand what domains are likely sold for generic reasons and what are sold for other reasons.

Brad

 

[Future Sensors]

Nah. The issue is your lack of experience in the field.

Everything went sideways when @Nathan K crowned him guru.

 

[CashproofAi]

Nah. The issue is your lack of experience in the field.

With enough experience, it becomes relatively easy to understand what domains are likely sold for generic reasons and what are sold for other reasons.

Brad

Experience informs perspective, but outcomes are still outcomes.

My analysis is based on publicly reported sales data—what sold, at what price, and how often—rather than assumptions about buyer motivation.

We may interpret those outcomes differently, and that’s fine, but the transactions themselves are factual and verifiable.

 

[Future Sensors]

We may interpret those outcomes differently, and that’s fine, but the transactions themselves are factual and verifiable.

We pull NameBio reports every day and have no issues with the source data.

Our problem is with poor analysis and the misleading conclusions that follow.

 

[CashproofAi]

We pull NameBio reports every day and have no issues with the source data.

Our problem is with poor analysis and the misleading conclusions that follow.

I’ve never questioned the integrity of NameBio’s source data. My work uses the same publicly reported data and applies a clearly stated analytical scope.

In any professional forum, interpretations and conclusions are never final or absolute—nothing on the web is. Disagreement over conclusions is part of healthy analysis, but that’s a methodological discussion, not an issue of misleading intent.

I would also suggest keeping responses focused on the core topic rather than drifting into out-of-context commentary.

 

[CashproofAi]

Everything went sideways when @Nathan K crowned him guru.

I’m on the ground where I’ve always been, focused on learning and sharing.

 

[nlitenme]

Our problem is with poor analysis and the misleading conclusions that follow.

They put more effort into trying to defend their inept work than trying to better it.

Such a shame.

 

[Eric Lyon]

Data analysis perspective: Deep Dive (Behind the curtain) Versus surface data (On the front of the curtain)

Image Courtesy of Google Gemini (Nano-Banana):

 

[Nathan K]

 

[CashproofAi]

Data analysis perspective: Deep Dive (Behind the curtain) Versus surface data (On the front of the curtain)

Image Courtesy of Google Gemini (Nano-Banana):
Show attachment 290632

I understand the distinction being illustrated here. There’s a difference between surface-level data, which captures observable outcomes, and deeper contextual analysis, which attempts to explain contributing factors behind those outcomes.

My post is intentionally focused on outcomes—what sold, at what price, and how often—using publicly reported data. Deeper dives into motivation, usage, or acquisition context can be valuable as well, but they address a different analytical layer and require a different scope and dataset.

Both approaches can coexist without one diminishing the other, as long as the purpose and limits of each are clearly understood.

 

[CashproofAi]

Show attachment 290635

Thanks, Nathan. I like your sense of humor. Domain investing is something I’ve gotten into recently, but I haven’t been able to give it as much time as I’d like. I’m also involved with a few AI-related platforms as an AI ecosystem tester, along with my main work in environmental sustainability and mine closure planning.

On the side, I blog, create digital content, and do some web development.

 

[Future Sensors]

My post is intentionally focused on outcomes—what sold, at what price, and how often

NameBio is reporting this already, every day. What's the added value, except linking to your blog?