analysis Exploring Optimal Prices for 4L .com Domains

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Hello everyone,

As some members of this forum may know, I have an extensive portfolio of 4L com domains. Starting from October 1, 2024, I’ve decided to embark on a series of experiments to determine the most profitable pricing strategy for selling these domains. Currently, I own over 16,000 4L domains that contain one or more of the letters J, Q, U, V, W, X, Y, or Z. These are the domains I’ll be using for my pricing experiments. I plan to continue buying domains, so the number will gradually increase.

I aim to find out which approach will be more profitable: selling fewer domains at a higher price or selling more domains at a lower price. Initially, I wanted to start this experiment on September 1, but due to the issues with Afternic, which compromised the accuracy of any data, I decided to wait until October when most of these issues were resolved.

At the moment, I’ve set the price for all my domains at $14,999 each. The nameservers are configured to ns1.afternic.com and ns2.afternic.com. I’ve disabled Boost as I don’t find it useful. I’ve chosen the "Custom Lander" option, and all domains have a Lease-to-Own (LTO) option available for a 12-month term. The "Make Offer" option is disabled, and I will be ignoring any inquiries through Whois during the experiment to ensure that potential buyers can only purchase the domains at a fixed price without the opportunity to negotiate discounts or terms. This also prevents them from contacting me directly, as well as avoiding back-and-forth with brokers who often try to negotiate regardless of the set price. The same applies to Afternic brokers - I will reject any offers or discounts they send through the dashboard unless the domain is purchased at the current fixed price.

My goal is to achieve the best possible pricing strategy that minimizes the time I spend managing this process. Therefore, there will be no brokers, no email negotiations, no personal landing pages - just a fixed price on Afternic.

The planned schedule for the experiment is as follows:
  • From October 1, 2024, to November 30, 2024, the fixed price for all domains will be $14,999.
  • From December 1, 2024, to January 31, 2025, the fixed price will be $9,999.
  • From February 1, 2025, to March 31, 2025, the fixed price will be $6,999.
  • From April 1, 2025, to May 31, 2025, the fixed price will be $4,999.
  • From June 1, 2025, to July 31, 2025, the fixed price will be $3,999.
  • From August 1, 2025, to September 30, 2025, the fixed price will be $2,999.
  • From October 1, 2025, to November 30, 2025, the fixed price will be $1,999.
  • From December 1, 2025, to January 31, 2026, the fixed price will be $999.
I believe that two months per pricing stage and a pool of >16,000 domains should provide enough data to draw meaningful conclusions for future decision-making.

I plan to post monthly updates on the results in this thread, assuming it doesn’t violate any forum rules. I know that many forum members actively invest in 4L domains containing these letters (J, Q, U, V, W, X, Y, Z), so I believe the results could be valuable for others as well. I haven’t come across any detailed statistics on pricing for these domains, which is why I’ve decided to conduct this research myself.

If anyone has any insights or ideas to make this experiment more beneficial, both for myself and for other forum members, I’d be happy to hear them.
 
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In the first article, I looked at what owners are asking for their 4L .com domains while my fixed $10,000-per-domain experiment continues. This time, I want to put those price tags beside the recorded sales history and explain what each comparison actually tells us.

The headline is striking: a $9,995 median asking price against a $330 median recorded sale. More interestingly, the gap remains around 26.2 times when the comparison holds the mix of letter composition, consonant/vowel patterns and repetition shapes fixed. Sellers’ expectations are a long way above the price levels in this historical sample.

That deserves scrutiny. It also deserves a fair comparison: reported investor purchases and business purchases may be mixed, historical records come from different periods, and a price someone asks is a different kind of evidence from a reported completed sale. I want to see how much of the gap survives closer inspection before drawing conclusions.

What is in the data - and what each count means​

The report combines current BIN listings collected from Afternic/GoDaddy, Sedo, Namecheap and Dynadot with reported sales collected from NameBio and GoDaddy. My ownership exclusion list was applied to both datasets. Current listings were reduced to one entry per four-letter .com domain at its lowest accepted asking price.
  • 165,378 unique current listings: asking prices from $131.07 to $1,000,000 in the cleaned snapshot.
  • 112,384 recorded sales observations: all retained rows in the supplied sales file, covering 92,128 distinct domains. The observed price range is $100 to $15,500,000.
  • 92,128 sales references: one median recorded price per distinct sales domain, used for the asking-price comparisons.
A domain with three recorded sales contributes three rows to the historical sales tables, but one value to the reference comparisons. That value is a summary of its recorded prices; it need not equal any single transaction price. This is why the overall raw sale median is $330, while the median of the domain references is $339. Against the $9,995 median ask, those produce gaps of 30.3× and 29.5×, respectively.
The sales file has no dates. It includes the whole supplied history, with no time adjustment. The $100 minimum in the collected sample is a price cutoff and does not remove old sales by date. These are reported observations, not a complete census of all 4L .com transactions.

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Figure 1. The recorded-sales sample: 112,384 observations across 92,128 domains. The median is $330, the average is $2,755, and the middle half of recorded prices runs from $197 to $800

The average is more than eight times the median because a relatively small number of very expensive observations pull it upward. The $2,500 90th percentile gives useful context: roughly nine in ten recorded prices are at or below that level. Those exceptional high-price records should not become the default expectation for every four-letter domain.

Sales price bands: where the recorded prices actually sit​

Each row below is a separate price interval. A $1,000 observation belongs in the band ending at $1,000; a $1,000.01 observation belongs in the next band. Each recorded row appears once, so the counts add up to 112,384. The first band starts at the sample’s observed $100 minimum.

Recorded priceRecorded rowsShare of recorded rows
Up to $50073,63265.52%
Over $500 to $1,00015,07313.41%
Over $1,000 to $2,00010,0108.91%
Over $2,000 to $3,0004,4353.95%
Over $3,000 to $5,0003,9133.48%
Over $5,000 to $7,5001,7681.57%
Over $7,500 to $10,0001,1481.02%
Over $10,000 to $15,0008940.80%
Over $15,000 to $20,0004900.44%
Over $20,000 to $30,0004010.36%
Over $30,000 to $50,0002420.22%
Over $50,000 to $75,0001110.10%
Over $75,000 to $100,000680.06%
Over $100,000 to $150,000630.06%
Over $150,000 to $250,000370.03%
Over $250,000 to $500,000450.04%
Over $500,000 to $1,000,000250.02%
Over $1,000,000290.03%
Intervals include their upper boundary. Percentages use all 112,384 observations and may not add to exactly 100% after rounding.
  • 65.52% of recorded observations are $500 or less; 78.93% are $1,000 or less.
  • 95.27% are $5,000 or less, and 97.86% are $10,000 or less.
  • Only 2,405 observations, or 2.14%, exceed $10,000. There are 29 observations above $1,000,000; the sales sample has no equivalent to the listings’ $1,000,000 upper cap.

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Figure 2. Recorded sales price ranges. Bar lengths count observations, and percentages describe this historical file - not the odds that a listed domain will sell at that price

Compare that with current inventory: 47.37% of listings ask more than $10,000. A price level that is above almost 98% of recorded observations is being requested by nearly half the current listings. These populations are different, but the contrast shows the scale of the expectations gap.

Ask and sale distributions: reading the whole picture​

The three curves show current asks, individual recorded sale observations, and the one-reference-per-domain sales series. Pick a price on the horizontal axis and read upward to a curve: its height is the percentage of that series at or below the price. Each curve has its own denominator.

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Figure 3. Ask and sale distributions. The three stepped curves describe 165,378 current asks, 112,384 recorded observations and 92,128 domain references, respectively

The curves let us compare the lower, middle and upper parts of the samples instead of relying on one average. A large separation means many asks sit well above the recorded price distribution. It does not mean the chart has measured a future sale probability: that would require knowing which comparable listings were exposed to buyers, for how long, and which sold or remained unsold.

Recorded observations by letter-composition category​

To organize the names, I use four letter groups: J/Q; U/V/W/X/Y/Z; F/G/H/K; and A/B/C/D/E/I/L/M/N/O/P/R/S/T. They are ordered from lower to higher in this classification. The 35 categories cover every way four letter occurrences can be distributed among these groups.

Read the first four columns as counts, including repeated letters. They always add up to four. This method ignores letter order, word meaning, combinations such as HQ, UI, QC, etc., and repetition premiums. Category order is a classification rule, so it does not promise that every successive row will have a higher price.
Recorded observations by letter-composition category

J/QU/V/W/X/Y/ZF/G/H/KA/B/C/D/E/I/L/M/N/O/P/R/S/TRecorded rowsDistinct domainsMedian saleMiddle 50%
400032$1,136$911–$1,336
31003936$232$146–$467
30102017$326$196–$862
300110984$225$155–$475
2200164138$218$133–$362
2110169150$204$142–$359
2101691581$210$135–$347
20205849$292$164–$945
2011406363$229$141–$409
2002970808$250$161–$450
1300389321$213$140–$325
1210670559$215$135–$310
12012,6162,149$210$140–$340
1120387336$208$139–$342
11113,3412,857$210$145–$350
11026,9325,767$240$156–$400
103010086$350$193–$1,215
10211,057905$240$154–$500
10124,4453,793$250$162–$440
10035,7644,821$300$190–$625
0400376290$241$159–$513
0310785631$230$149–$399
03013,1522,509$252$161–$469
0220711582$242$151–$400
02115,8234,759$239$158–$400
020211,2599,299$298$181–$575
0130284243$258$168–$406
01213,5342,987$256$174–$450
011213,78811,405$305$200–$637
010317,06313,989$412$242–$1,200
00406653$774$302–$1,307
0031790632$400$225–$900
00224,3853,528$417$246–$900
001311,5369,126$511$305–$1,319
000410,5028,273$819$425–$2,500

The first four columns count letter occurrences. Prices summarize recorded rows; the historical comparison charts instead use one median reference per domain.

The category containing four letters from the final group has 10,502 observations and an $819 raw sale median. One U/V/W/X/Y/Z letter plus three F/G/H/K letters has 284 observations and a $257.50 median. That is a meaningful difference in recorded price levels. Still, the first category - four J/Q letters - has only three observations across two domains. Its $1,136 median is far too thin a basis for overturning the broader picture.

Letter-composition categories: sales versus asks
In this chart, each marker is a median and each horizontal interval contains the middle 50% of its series. The interval shows price dispersion, not a confidence interval and not the full minimum-to-maximum range. Sales use domain references here, while asks use one current price per listed domain. Read the axis labels carefully: the price scale spans several orders of magnitude.

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Figure 4. All 35 composition categories on one chart. The sale-reference and asking-price markers share each row. The lines show P25–P75; there are no average-price markers

For the four-final-group-letter category, the current median ask is $24,999 versus a $926 domain-reference median, about 27.0×. With one F/G/H/K letter and three final-group letters, the figures are $19,000 versus $528.25, about 36.0×. Better letters have stronger sales references, but their owners also ask much more.

Recorded sales: all 16 C/V patterns​

C means consonant; V means one of A, E, I, O or U. Y counts as a consonant. The counts describe reported observations within each pattern. The middle-50% column shows how dispersed those prices are, and the average helps reveal the influence of unusually expensive records.
Recorded sales: all 16 C/V patterns
PatternRecorded rowsDistinct domainsMedian saleMiddle 50%Average sale
CCCC38,52132,696$350$195–$971$1,328
CCCV12,97910,469$275$175–$460$762
CCVC12,74810,273$305$190–$570$2,912
CCVV3,1112,523$326$200–$575$1,378
CVCC13,53710,922$335$200–$816$5,529
CVCV2,7872,143$3,250$1,400–$8,000$18,773
CVVC2,9582,373$565$280–$2,235$8,697
CVVV737577$529$302–$1,590$2,631
VCCC12,78510,439$262$170–$450$853
VCCV3,1372,528$400$227–$1,000$1,992
VCVC3,2672,543$500$251–$1,820$8,408
VCVV744630$720$348–$2,121$2,803
VVCC3,2542,588$265$169–$449$762
VVCV728607$526$268–$1,701$2,818
VVVC880668$303$195–$505$939
VVVV211149$499$276–$810$1,326

Sale statistics here count every retained observation. Dollar figures are rounded to whole dollars for display only.
CVCV stands out in the sales data too: 2,787 observations across 2,143 domains, a $3,250 median, and a middle half from $1,400 to $8,000. Compare that with CCCC at $350, VCCC at $262, or VVCC at $265. CVCV has a substantial recorded premium; treating every four-letter name as interchangeable would hide it.

The following table gives each sales domain one reference value before comparing it with current asks. The ratio divides the median ask by the median sales reference within that pattern. It is a comparison of price levels in two samples, rather than a purchase-and-resale multiple earned on the same names.
C/V patterns: listings and sales references

PatternCurrent listingsSales reference domainsMedian current askMedian sales referenceAsk / reference
CCCC65,20832,696$9,995$36127.7×
CCCV18,26710,469$8,289$27829.8×
CCVC18,28110,273$9,500$31030.6×
CCVV4,2972,523$11,000$33532.8×
CVCC17,29010,922$9,999$33629.8×
CVCV2,0062,143$68,400$3,75018.2×
CVVC3,8562,373$18,000$60030.0×
CVVV951577$19,999$52538.1×
VCCC18,89710,439$7,950$26530.0×
VCCV4,2272,528$12,000$40030.0×
VCVC4,3012,543$19,111$51037.5×
VCVV915630$19,999$76826.1×
VVCC4,6802,588$9,000$27033.3×
VVCV887607$19,999$54037.0×
VVVC1,069668$12,000$30239.7×
VVVV246149$19,999$50239.8×
One median of the recorded prices is first calculated for each sales domain. The reference column is the median of those domain values. Ratios use unrounded amounts; an em dash means unavailable.

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Figure 5. C/V patterns: recorded sales versus current asks. Read the median markers alongside the middle-50% intervals and the sample counts, rather than treating a pattern as a single fixed price

CVCV has a $68,400 median ask against a $3,750 sales-reference median: 18.2×. CCCC is $9,995 versus $361: 27.7×. VCVC is $19,111 versus $510: 37.5×. The pattern with the highest asking prices does not have the largest relative gap. CVCV’s stronger recorded sales base explains part of its higher price tags, while leaving a substantial gap of its own.

Recorded sales: all 15 repetition shapes​

Here A, B, C and D are placeholders for different letters. ABAB means two letters alternate, AABB means two matching pairs, ABBA is a mirrored pair, and ABCD means all four letters differ. These shapes describe repetition, independently of whether the letters are vowels or consonants.
Recorded sales: all 15 repetition shapes

ShapeRecorded rowsDistinct domainsMedian saleMiddle 50%Average sale
AAAA74$12,500$8,203–$17,600$26,515
AAAB288193$1,000$411–$2,608$1,804
AABA278205$616$253–$1,374$1,239
AABB149122$2,545$1,200–$5,900$3,843
AABC3,6162,960$399$225–$905$1,095
ABAA290211$625$300–$1,756$1,531
ABAB199154$2,609$1,000–$6,000$22,512
ABAC3,9103,162$405$221–$1,010$3,654
ABBA207162$1,253$513–$2,935$3,937
ABBB280187$1,385$482–$3,000$2,371
ABBC4,0473,211$401$215–$1,009$4,705
ABCA3,6943,063$390$220–$999$1,718
ABCB3,7223,016$440$230–$1,364$4,069
ABCC3,7743,084$440$236–$1,150$2,346
ABCD87,92372,394$310$187–$691$2,661
Sale statistics here count every retained observation. Dollar figures are rounded to whole dollars for display only.
The raw median is $310 for ABCD, $1,253 for ABBA, $2,545 for AABB and $2,609 for ABAB. Repetition premiums therefore appear in the recorded sales sample as well as in sellers’ price tags. But ABAB has only 199 observations, and its $22,512 average is far above its median. The exceptional upper end should not become the expectation for every alternating pair.

AAAA records a $12,500 raw median, but that comes from seven observations across four domains. There are no AAAA listings in the retained current snapshot. A missing asking-price comparison here means unavailable data, not a zero value.

Repetition shapes: listings and sales references
ShapeCurrent listingsSales reference domainsMedian current askMedian sales referenceAsk / reference
AAAA04—$16,301—
AAAB254193$21,750$1,11519.5×
AABA212205$20,785$62033.5×
AABB165122$38,332$2,50515.3×
AABC5,8702,960$10,662$40426.4×
ABAA210211$19,995$72027.8×
ABAB164154$39,999$3,00013.3×
ABAC5,3953,162$12,000$41229.1×
ABBA165162$27,000$1,40119.3×
ABBB255187$23,799$1,42116.7×
ABBC5,3613,211$10,805$41026.4×
ABCA5,4943,063$10,042$40025.1×
ABCB5,1843,016$12,763$45028.4×
ABCC5,3233,084$11,592$46025.2×
ABCD131,32672,394$9,799$31930.7×
One median of the recorded prices is first calculated for each sales domain. The reference column is the median of those domain values. Ratios use unrounded amounts; an em dash means unavailable.

Image
Figure 6. Repeated-letter structures: sales versus current asks. All 15 shapes remain visible; AAAA has recorded history but no retained current asking-price sample

ABAB compares at $39,999 versus a $3,000 reference median: 13.3×; AABB at $38,332 versus $2,505: 15.3×. ABCD is $9,799 versus $319: 30.7×. Sellers of recognizable repeating structures have more historical support for a premium, although these ratios still do not establish what a particular buyer should pay.

Sales letters: which letters appear in higher-priced records?​

Each row includes recorded observations of domains containing that letter anywhere. A domain such as ABBA belongs to both A and B, but contributes only once to each of those letter groups per observation. Because groups overlap, their counts cannot be added to obtain the total number of sales.
Sales Letters

LetterRecorded rowsDistinct domainsMedian saleMiddle 50%
A17,66314,306$426$240–$1,305
B16,32713,370$350$201–$888
C15,24312,733$446$234–$1,250
D16,25413,324$361$209–$910
E19,08915,349$355$206–$809
F15,99112,953$310$185–$620
G14,86412,337$320$190–$747
H15,69712,855$320$190–$647
I18,12014,658$359$205–$925
J14,80712,528$252$164–$450
K14,74312,383$303$182–$580
L15,09412,455$359$202–$908
M16,88913,858$389$211–$995
N16,38613,378$375$214–$938
O19,37915,335$350$203–$800
P17,06813,885$360$205–$878
Q14,73612,335$225$150–$385
R16,71013,698$390$211–$980
S15,24612,694$495$250–$1,368
T16,01213,165$400$216–$1,027
U18,90115,218$270$171–$490
V19,73615,894$245$160–$400
W14,58412,183$282$175–$561
X14,35512,012$295$175–$647
Y15,67413,013$315$185–$796
Z13,80211,617$265$168–$510
Sale statistics here count every retained observation. Dollar figures are rounded to whole dollars for display only.
The highest raw letter-anywhere median is S at $495, followed by C at $446 and A at $426. At the lower end are Q at $225, V at $245 and J at $252. These are whole-domain prices associated with the presence of a letter; they do not isolate the value contributed by that letter.

Domains containing each letter: listings and sales references
LetterCurrent listingsSales reference domainsMedian current askMedian sales referenceAsk / reference
A24,23214,306$12,888$43329.8×
B23,67913,370$9,995$36027.8×
C21,30512,733$12,500$45827.3×
D23,86113,324$10,500$37927.7×
E25,00015,349$10,999$35630.9×
F24,58312,953$9,158$31329.3×
G22,58312,337$9,534$32629.2×
H23,97412,855$9,995$32730.6×
I23,70914,658$10,588$36029.4×
J26,42412,528$7,950$26030.6×
K23,27912,383$9,534$31030.8×
L22,13012,455$10,000$36527.4×
M23,16813,858$12,000$40030.0×
N23,18013,378$11,000$38528.6×
O25,41015,335$10,000$35028.6×
P23,18913,885$10,000$36427.5×
Q25,56112,335$6,000$22826.3×
R23,32213,698$11,725$40029.3×
S21,66312,694$14,900$50029.8×
T22,94713,165$12,250$40530.2×
U26,88615,218$8,673$27032.1×
V28,10315,894$7,495$24830.2×
W24,01912,183$8,000$29027.6×
X24,33412,012$8,995$30030.0×
Y25,07413,013$9,800$32130.5×
Z24,42011,617$7,950$27229.2×
One median of the recorded prices is first calculated for each sales domain. The reference column is the median of those domain values. Ratios use unrounded amounts; an em dash means unavailable.

Image
Figure 7. Domains containing each letter: sales versus asks. The groups overlap, and the other letters, word meaning and structure can differ within every row

The comparison ratios range from about 26.3× for Q to 32.1× for U. S-containing domains compare at $14,900 versus a $500 reference median; Q-containing names at $6,000 versus $228. Sellers recognize broad letter differences, but the asking-price gap persists across the entire alphabet

Distinct letters and recorded sale prices​

This chart asks a simpler question: how many different letters does the domain contain? A four-letter name can contain one, two, three or four distinct letters. Lower counts create more repetition, but they can represent very different shapes - for example, AABB and AAAB both use two distinct letters.
Recorded prices by number of distinct letters

Distinct lettersRecorded rowsDistinct domainsMedian saleMiddle 50%
174$12,500$8,203–$17,600
21,6911,234$1,076$415–$2,969
322,76318,496$407$225–$1,050
487,92372,394$310$187–$691
Sale statistics here count every retained observation. Dollar figures are rounded to whole dollars for display only.

Image
Figure 8. Distinct letters and recorded sale prices. The chart shows averages, medians and middle-50% intervals for raw recorded observations; the one-letter group has just four distinct domains

The medians decline from $12,500 with one distinct letter to $1,076 with two, $407 with three, and $310 with four. That is a descriptive repetition association, not a rule that deleting letter variety always increases value. The one-letter result is particularly fragile because of its tiny sample, and commercial meaning remains outside this grouping.

Sale medians by letter position​

Each cell summarizes recorded observations with a particular letter in a particular position. It shows a median and an observation count. The color scale is logarithmic: equal color steps correspond to multiplicative price changes, so use the printed dollar value when making a precise comparison.

Image
Figure 9. Sale medians by letter position. Each position includes the whole recorded-observation sample; the same observation appears once in each of the four position rows

Q has the lowest median in all four positions: $249, $216, $220 and $225.50. At the other end, names ending in S have a $611.50 median, compared with $510 when S is first. That is an association between the complete names in those cells and their recorded prices. It does not prove that moving S to the end of any domain causes the price to rise.

This also corrects an easy overstatement about the letter groups: J is often near the lower end, but it is not consistently the second-cheapest letter. Grouping the alphabet is useful for organizing evidence; the detailed results still have exceptions.

Letter composition of the two samples​

Before blaming the whole gap on unrealistic owners, we should ask whether the two datasets contain different kinds of names. This chart compares each category’s share of the 165,378 current listings with its share of the 92,128 sales-reference domains. Each sample totals 100% before rounding. The sales side here counts distinct reference domains, not all recorded rows.

Image
Figure 10. Letter composition of the two samples. Different category shares show why a single unadjusted median cannot settle the comparison

Names made entirely from A/B/C/D/E/I/L/M/N/O/P/R/S/T account for 6.60% of current listings versus 8.98% of sales-reference domains. Names with one F/G/H/K letter and three final-group letters account for 8.20% versus 9.91%. Differences like these are exactly why the next comparisons control the structural mix more carefully.
A category’s large share of current listings does not establish weak buyer demand. These are a snapshot of available inventory and an incomplete accumulation of historical records, without a common exposure period. We can describe representation; we cannot calculate sell-through from these shares.

Asking-price ratios after structural matching​

For each current listing, the report first looks for sales-reference domains with the same letter-composition category, C/V pattern and repetition shape. If fewer than 20 distinct peers remain, it broadens the match to composition plus C/V, then to composition alone. It never crosses into another composition category. The listed domain itself is removed from its peer pool before the count is checked.
The listing’s ask is divided by its matched peers’ median reference. The chart then takes the median of these individual ratios within each category. This is different from dividing two broad category medians: each listing can have a different peer group, particularly where the method falls back to a broader match.
How closely could the listings be matched?

Match usedCurrent listingsShare of current listings
Composition + C/V + repetition155,59794.09%
Composition + C/V8,5855.19%
Composition only1,1480.69%
No qualifying peer group480.03%
Nonpositive asking price00.00%
The minimum is 20 distinct sale-reference peers after self-exclusion. This is a practical sample-size rule, not a guarantee of reliability.

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Figure 11. Asking-price ratios after structural matching. All 35 categories share one linear-scale chart. Read the ratio together with its matched count and coverage; a missing ratio means insufficient support

The four-final-group-letter category has a median matched ratio of 28.6×. One F/G/H/K letter plus three final-group letters is 30.6×; one U/V/W/X/Y/Z letter plus three final-group letters is 31.3×. These gaps survive matching on the measured structure instead of comparing the whole market indiscriminately

Two categories have no supported ratio: four J/Q letters, and three J/Q letters plus one F/G/H/K letter. Together they account for the 48 unmatched listings. Elsewhere, the category with two J/Q and two F/G/H/K letters reaches 55.6×, but it contains only 130 current listings. Matching is a useful check, while sparse groups and fallback matches still deserve care.

Comparison at a fixed structural mix​

This is the most controlled price-level comparison in the report. It keeps the exact composition + C/V + repetition cells fixed, and uses only cells with at least 20 reference domains. Unlike the previous per-listing calculation, all 45,091 sales domains that also appear in current listings are removed from this reference pool. No broader fallback cells are substituted.

Within each qualifying cell, the report compares its median ask with its median sales reference. It then gives cells weight according to their share of covered current inventory and combines the ratios with a geometric average. A cell with twice as many covered listings receives twice the weight. In everyday terms, it compares like structural groups and makes both sides reflect the same covered mix of names; proportional gaps are averaged multiplicatively.

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Figure 12. Comparison at a fixed structural mix. The weighted cell-price summaries are $10,193.58 for asks and $389.49 for sales references, producing a 26.1716× ratio

The result is 26.2×, covering 143,819 listings, or 86.96% of current inventory, across 296 of the 1,285 structural cells observed in the market. The uncovered 13.04% is outside this result. The $10,193.58 and $389.49 figures are weighted geometric averages of cell medians; neither is the pooled median of all asks or all sales. Coverage and peer exclusions also change, so the difference from 29.5× cannot be attributed solely to the structural mix.
That is the finding I consider hardest to wave away: matching the measured letter and repetition structure does not make the asking-price gap disappear. But 26.2× is still a comparison with this historical reference sample. It leaves differences in time period, buyer type, reporting coverage, word meaning and individual commercial quality unresolved. It is not a measured overvaluation multiple or a discount every seller should apply.

Four historical sales profiles worth inspecting​

Each profile below uses one median reference per sales domain for its historical curve and comparison. Its raw recorded-row count is supplied in the explanation. This distinction matters: it lets us see the history without giving repeatedly recorded names extra weight in the price reference.
0 J/Q + 0 U/V/W/X/Y/Z + 0 F/G/H/K + 4 A/B/C/D/E/I/L/M/N/O/P/R/S/T

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Figure 13. Four letters from A/B/C/D/E/I/L/M/N/O/P/R/S/T: 8,273 sales-reference domains and 10,917 current listings

There are 10,502 raw recorded observations with an $819 median. Once each sales domain gets one reference, the median becomes $926, with a middle half of $460–$2,627. The current median ask is $24,999, around 27.0× that reference median. This is a stronger-letter category with substantial history, yet its typical asking price is still far above the central recorded reference range.
0 J/Q + 0 U/V/W/X/Y/Z + 1 F/G/H/K + 3 A/B/C/D/E/I/L/M/N/O/P/R/S/T

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Figure 14. One F/G/H/K letter plus three letters from A/B/C/D/E/I/L/M/N/O/P/R/S/T: 9,126 sales-reference domains and 13,564 current listings

The 11,536 raw observations have a $511 median. The domain-reference median is $528.25, with a middle half of $324–$1,450. Against a $19,000 median ask, the broad category ratio is 36.0×. Its matched per-listing ratio is lower, at 30.6×, showing that finer structure changes the comparison without eliminating the gap.
0 J/Q + 1 U/V/W/X/Y/Z + 0 F/G/H/K + 3 A/B/C/D/E/I/L/M/N/O/P/R/S/T

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Figure 15. One U/V/W/X/Y/Z letter plus three letters from A/B/C/D/E/I/L/M/N/O/P/R/S/T: 13,989 sales-reference domains and 23,371 current listings

This large category contains 17,063 recorded observations, with a $412 raw median. Its domain-reference median is $425, and the middle half is $250–$1,215.50. The current median ask is $14,000: about 32.9× the broad sales reference, or 31.3× under the per-listing matching method. The sample is substantial, so the large gap cannot be dismissed simply as a handful of unusual records

0 J/Q + 1 U/V/W/X/Y/Z + 3 F/G/H/K + 0 A/B/C/D/E/I/L/M/N/O/P/R/S/T
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Figure 16. One U/V/W/X/Y/Z letter plus three F/G/H/K letters: 243 sales-reference domains and 587 current listings
Here the evidence is thinner: 284 raw observations, with a $257.50 median. The domain-reference median is $254, and the middle half is $170.50–$414. The median ask is $7,950, giving a 31.3× ratio. Even a group priced below the overall asking median can sit far above its historical reference prices. Its smaller sample calls for more caution than the three profiles above

What this says about sellers’ expectations​

I find the scale of these expectations difficult to defend as a general picture of the market. Five-figure price tags are common in current inventory, while the central recorded prices remain in the hundreds. CVCV and recognizable repetition shapes have meaningful sales premiums. The data gives us reasons to distinguish names; it gives much less support for treating an ordinary four-letter listing as an automatic five-figure asset.
Some owners are deliberately waiting for an exceptional business buyer. Investor-to-investor transactions may explain a considerable part of the lower historical prices, but the export cannot tell us how large that part is. An unusually high sale can happen. The unanswered commercial question is how often a comparable name finds that buyer, how long the owner waits, and what the carrying costs are. These files do not measure that.
My criticism is of the confidence attached to the price tags. A seller asking 20, 30 or 50 times a structural sales reference needs a convincing case for the particular name and the buyer it can serve. An ambitious BIN by itself supplies no evidence that the market agrees. That applies to my own $10,000 experiment too: neither a marketplace median nor a rare comparable sale proves that my chosen price will work.
The report does not justify claiming that most owners will never sell, or that every domain should be repriced to $330. It supports a more specific criticism: sellers’ posted expectations are far above this recorded evidence, and the difference remains large after the structural checks available here.

Data notes and disclaimer​

Source: the supplied analysis report generated on September 13, 2026, plus my stated collection sources. Only four-letter .com names are included. Ownership filtering removed 23,298 listing rows covering 23,198 distinct names and 6,377 historical rows covering 5,300 names. The exclusion list contained 23,255 unique names. No venue-by-venue or annual analysis is used here.
Prices are nominal USD, with no inflation, recency, fee or commission adjustment. The sales and asking samples also have different price limits. Displayed table prices are rounded to whole dollars; ratios use the report’s unrounded underlying amounts.
I have tried to clean the data and calculate the statistics correctly, but I give no guarantee of accuracy, completeness or current availability. Reported sales can be incomplete or repeated, listings can be stale, and letter-based groups cannot capture every name’s commercial value. The article presents my analysis and opinions. It is not an appraisal, investment recommendation or promise of a selling price, sale probability or outcome.
Fantastic analysis, thanks. I think most domainers will be stunned by the fact that only 2.14% of sales have occurred above $10k. But your previous analysis, and my anecdotal observations, indicate that domainers consistently ask a lot more than the market is usually willing to pay. One could call them moonshots I guess. But, at the end of the day, it’s part of the reason that STR’s are so low in this industry. And it applies to many domain categories, not just 4L's (though I suspect it is worse for 4L's given that they are viewed as a 'liquid' asset category).
 
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I am currently running an experiment with a fixed price of $10,000 for each 4L.com domain included in the experiment, with a 24-month Lease to Own (LTO) option.

To give myself a clear benchmark for evaluating this experiment, I decided to share my portfolio statistics for December 2024 through August 2026. That is 21 months of results, covering four-letter .com domains.

December 2024 is an important starting point. That was when I fully moved my domain sales to Afternic and switched my domains to Afternic nameservers.

Before that, I mainly used Dan and Dynadot. I kept my asking prices high because I wanted to collect enough data to understand how those prices would perform across my portfolio. The portfolio was unprofitable during that stage, but accepting those losses while gathering data was a deliberate decision.

By December 2024, I felt I had enough information to conclude that those high prices were not a sustainable approach for the ordinary, random four-letter .com domains in my portfolio. I started pricing more realistically and continued experimenting.

Since I changed both the sales platform and my pricing approach, the results below reflect that combination of changes.

There is also an important exclusion from this analysis: a group of 2,768 domains that I am currently selling off at low prices.

These domains meet both of the following conditions:
  • They contain 3 or 4 letters from J/Q/U/V/W/X/Y/Z.
  • They contain 0 or 1 letters from F/G/H/K.
Based on my accumulated sales data, these are the least liquid names in my portfolio: they are the hardest to sell under my approach.

This group did generate a small profit over the reporting period when calculated using the much lower renewal costs I actually paid. However, my data suggests that, with my sales approach, these names would become unprofitable at regular current renewal prices, with any further price increases making the economics worse.

For that reason, I no longer see a good reason to keep them in the portfolio and continue renewing them. I have decided to sell them off at lower prices. They are all already renewed through mid-2027 or later, which gives me time to work through those sales before their next renewals are due.

The figures below exclude those 2,768 domains. They describe the portfolio I am analyzing separately from that sell-off.

For this analyzed portfolio, all 21 months were profitable, using the renewal-cost assumption explained below.

All amounts are in USD.

Metric
December 2024–August 2026​
Gross domain sales
$771,092​
Domains sold
353​
Average sale price
$2,184.40​
Profit using standardized renewal costs
$237,630​
Profitable months
21 out of 21​
Domains held at the end of the period, within this analysis
20,671​
On a monthly basis, that works out to approximately $36,719 in gross sales, $11,316 in profit, and 16.8 domains sold.

To make these results useful, I want to be clear about how profit is calculated. I deduct fees, the original acquisition cost of the domains sold, and domain renewal costs from sales revenue.

For simplicity and consistency, I calculate renewals at a fixed price of $10.18 per domain per year throughout the report.

In reality, these domains were renewed at much lower prices in 2024 and 2025 because I transferred them to Spaceship and took advantage of a substantial discount. The renewal figures in this report therefore exceed what I actually paid for those years.

I use $10.18 as my current market-price benchmark to show how profitable the portfolio can be at a regular renewal price, without moving domains between registrars to keep taking advantage of promotional discounts. This also gives me a consistent basis for comparing different periods and pricing experiments.

Over these 21 months, the expenses used in the calculation were approximately:
  • $111,180 in fees
  • $91,495 in acquisition costs for the domains sold
  • $330,786 in renewals, calculated at the fixed $10.18 rate
After those deductions, profit was $237,630, or approximately 30.8% of gross sales revenue. This is a profit margin, not a return on the total amount invested in the portfolio. The lower renewal prices I actually paid in 2024 and 2025 would make the profit higher than the figure shown here.

At the standardized rate, renewals were the largest expense, accounting for almost 43% of gross sales revenue. That is a major part of the economics of holding a large domain portfolio. Sales need to cover the ongoing cost of keeping the inventory, including the many domains that do not sell during a given year.

This is also why the decision to sell off the less liquid group matters. A group of domains can show a small historical profit thanks to discounted renewals while still being unattractive to hold at the renewal prices I expect to pay going forward.

Monthly results varied considerably. Using the same renewal-cost assumption, profit ranged from approximately $2,400 in February 2025 to $21,500 in February 2026. Other strong months included April 2025 at around $20,600 and August 2026 at around $21,000.

For me, the most encouraging result is the consistency: even the weakest month remained profitable under this calculation. The analyzed portfolio showed a profit every month without needing the discounted renewal prices to achieve that result.

Sales volume also moved around, ranging from 9 to 25 domains per month. A month with more sales did not necessarily produce more profit. The prices achieved and the expenses in that month both affected the final result.

The sale-price charts show another useful pattern: monthly average and median sale prices were generally higher in 2026 than in early 2025, although there were fluctuations along the way.

Across the entire period, the average sale price was $2,184.40. This is calculated by dividing total sales revenue by the 353 domains sold. It gives me a useful historical reference for the current pricing experiment.

The portfolio covered by this analysis also grew during the period. I purchased 5,409 domains, sold 353, and finished August 2026 holding 20,671 four-letter .com domains.

That changing portfolio size matters when comparing results. The number of sales alone does not show how efficiently the inventory is selling. I also need to look at the sell-through rate: the percentage of the portfolio sold over time.

The chart shows monthly sell-through rates equivalent to roughly 0.6% to 1.8% per year. Monthly ROI figures, expressed at an annual rate, ranged from below 1% to just over 6%. These figures describe each individual month at a yearly pace; they are not the actual returns for the full 21-month period.

This brings me back to the $10,000 fixed-price experiment with 24-month LTO.

The asking price is substantially above my historical average sale price. Offering payment over 24 months may change how buyers respond, but the effect on the portfolio needs to be measured.

I want to see what happens to sales volume, sell-through rate, revenue, and profit under this setup. With LTO, I will also need to consider payments received and how many agreements reach completion.

These 21 months give me a concrete benchmark: 353 domains sold, an average sale price of $2,184.40, and $237,630 in profit using a fixed $10.18 annual renewal cost, with every month profitable.

I will use that history to evaluate whether the $10,000 price and 24-month LTO option improve the portfolio’s overall performance over time.

01_overview.png
02_monthly_profit.png
03_profit_breakdown.png
05_portfolio_activity.png
06_sale_prices.png
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There is also an important exclusion from this analysis: a group of 2,768 domains that I am currently selling off at low prices.

Maybe I missed this in your post or one your earlier posts: 'Low Prices' is set at -roughly- what amount?

Thanks again for your fantastic analysis!
 
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September results: zero sales at $10,000 per domain.

Throughout September 2026, each four-letter .com domain included in my experiment (20864 random 4L .com domains) was priced at a fixed $10,000, with a 24-month Lease to Own (LTO) option.

The result for the entire month was zero domains sold.

The same analyzed portfolio that had been profitable for 21 consecutive months, from December 2024 through August 2026, became unprofitable in the very month I raised the asking price.

September's figures were:
• Domains sold: 0
• Gross sales revenue: $0
• Prorated renewal expense: $17,378.52
• Net result after renewals: -$17,378.52

As in my previous report, renewal expenses are calculated at a standardized rate of $10.18 per domain per year, prorated for the reporting period. This keeps the September result comparable with the previous 21 months. It does not mean that I paid that exact amount in renewal invoices during September.

The separate group of 2,768 less liquid domains being sold off at lower prices remains excluded from this analysis.

For context, during the previous 21 months, the analyzed portfolio generated 353 sales, $771,092 in gross revenue, and $237,630 in profit using the same standardized renewal-cost assumption.

That worked out to approximately 16.8 domains sold, $36,719 in gross revenue, and $11,316 in profit per month. Monthly results varied, but every single month was profitable.

September ended that streak.

The ongoing cost of holding the portfolio remained, while sales revenue fell to zero. Making a 24-month payment option available did not produce a sale during the month.

Personally, I see little reason to continue the experiment. To me, September's result is clear and entirely consistent with the results of my pricing experiments in 2023 and 2024.

My view remains that a blanket $10,000 asking price is too high to produce sustainable results for the ordinary, random four-letter .com domains in my portfolio. Individual domains can sell at that price or above it. The question is whether enough of them will sell to make the portfolio profitable after expenses.

Still, I can already anticipate the objection: September was simply an unlucky month, and if I had continued, perhaps I would have sold 15-20 domains at $10,000 each the following month.

I do not want to keep revisiting that hypothetical argument after ending the experiment.

So I will continue through October under exactly the same conditions: a fixed $10,000 price for each domain included in the experiment, with the same 24-month LTO option.

My interpretation of September has not changed. I am extending the experiment to give it another full month and see whether the suggested rebound actually happens.
 
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