Investors have made millions of dollars by following patterns with their domain investments. However, most of the lucrative domain patterns are too pricey for the entry-level domainer. Don’t hang your head though, domainer on a budget! With a little creativity, we can find patterns of domains that may offer upside with limited upfront costs. In this article, I present twenty-eight domain patterns for two-word domains that I believe can help domainers find success.
Most of the time when we speak of patterns in domaining, we are referring to the usual suspects: CVCV (consonant, vowel, consonant, vowel), LLL (letter, letter, letter), NNN (number, number, number), etc.
A less competitive category of patterns are based on the length of each word in a two-word domain name. In the table below, I analyze and share twenty-eight of such two-word combinations based on the length of each word, and I chart the historical sales for each pattern. The domain sales used for this analysis took place at GoDaddy.
Here is the meaning of the columns in the table:
Table sorted by Median from Largest to Smallest.
Summary Statistics
Total number of domains: 15,104
Median: $205
Mean: $397
Standard deviation: 1,175.9
Important Numbers
In the above table, the Median and Group provide valuable information.
I place more value in the median sale price for my calculations because the median provides a reflection of the most frequent sales. The median, like the mean, estimates the middle or center of a group of values. The median in this case is a more robust measure of central tendency than the mean, which is susceptible to outliers. However, I have provided values on the mean and median, so you can choose whichever measure you prefer.
Applying the Data to Domaining
We’re looking for patterns that may have some value as domain investments. Let’s examine group “4–4,” which refers to a two-word domain with each word having four letters, making the name eight characters total.
You can see that the median selling price for group “4–4” domains is $350. This means that half of the group “4–4” domains that sold, were purchased for $350 or more.
These are five examples, which fit into the “4–4” group, taken from GoDaddy Auctions:
Based on my analysis of the data, investing in these group “4–4” pattern domain names could yield high returns, as cakemart.com and others have. I think this is good news for domain investors without a lot of capital, as some domains with these patterns can be had for the minimum bid price on GoDaddy Auctions.
Domainers on a budget can use patterns to make investments, but you may have to get creative and use longer domains with lower upfront costs.
More information
The tools used in this analysis were Python 3, WordSegment, Wordnik, pandas, Jupyter notebook, and NumPy.
You may download the sanitized sales data* that was used in this analysis or download all of the sales data.
* Sanitized sales data excludes domain names not composed entirely of words.
Most of the time when we speak of patterns in domaining, we are referring to the usual suspects: CVCV (consonant, vowel, consonant, vowel), LLL (letter, letter, letter), NNN (number, number, number), etc.
A less competitive category of patterns are based on the length of each word in a two-word domain name. In the table below, I analyze and share twenty-eight of such two-word combinations based on the length of each word, and I chart the historical sales for each pattern. The domain sales used for this analysis took place at GoDaddy.
Here is the meaning of the columns in the table:
- Group: Length of each word in the .com domain name. So, for example, “4–4” would mean each word has four letters, while “7–5” would mean the first word has seven letters and the second word has five letters.
- $ Min: Minimum sale price in that Group.
- $ Max: Maximum sale price in that Group.
- $ Median: Median sale price of domains in that Group.
- $ Mean: Average sale price of domains in that Group
- Std. Dev.: Standard deviation of domain sale prices in that Group
- Count: The number of sold domains (sample size) in that Group
ID | Group | $ Min | $ Max | $ Median | $ Mean | Std. Dev. | Count |
---|---|---|---|---|---|---|---|
1 | 3–4 | 100 | 7,355 | 359 | 565.4 | 767.8 | 187 |
2 | 4–4 | 100 | 5,049 | 350 | 613.1 | 779.7 | 259 |
3 | 4–3 | 100 | 5,000 | 348 | 600.2 | 772.7 | 150 |
4 | 3–3 | 104 | 3,500 | 333.5 | 478.0 | 528.2 | 114 |
5 | 3–5 | 100 | 3,550 | 333 | 479.7 | 484.8 | 135 |
6 | 5–3 | 100 | 4,953 | 332 | 511.0 | 672.1 | 141 |
7 | 6–3 | 100 | 4,765 | 222.5 | 374.8 | 539.1 | 146 |
8 | 3–9 | 100 | 1,525 | 219.5 | 355.9 | 362.1 | 62 |
9 | 6–4 | 100 | 3,605 | 205 | 330.4 | 429.0 | 308 |
10 | 3–8 | 100 | 3,350 | 205 | 351.0 | 470.2 | 91 |
11 | 5–4 | 100 | 6,501 | 204 | 404.0 | 614.3 | 461 |
12 | 7–3 | 100 | 9,002 | 200 | 444.7 | 978.6 | 90 |
13 | 4–5 | 100 | 9,200 | 200 | 447.7 | 899.3 | 422 |
14 | 5–5 | 100 | 10,501 | 194 | 360.2 | 705.4 | 447 |
15 | 4–7 | 100 | 3,050 | 194 | 326.9 | 415.8 | 222 |
16 | 3–7 | 100 | 2,022 | 193 | 312.0 | 298.2 | 159 |
17 | 3–6 | 100 | 4,450 | 193 | 359.5 | 588.3 | 212 |
18 | 6–5 | 100 | 4,494 | 191 | 327.7 | 410.2 | 283 |
19 | 5–7 | 100 | 4,338 | 189 | 322.6 | 507.7 | 241 |
20 | 7–4 | 100 | 3,150 | 185 | 336.3 | 436.5 | 223 |
21 | 8–4 | 100 | 1,231 | 184 | 257.7 | 224.1 | 127 |
22 | 4–8 | 100 | 2,705 | 178 | 321.8 | 406.4 | 138 |
23 | 6–6 | 100 | 8,700 | 175 | 385.9 | 832.1 | 267 |
24 | 5–6 | 100 | 9,277 | 174 | 390.7 | 837.6 | 340 |
25 | 4–6 | 100 | 81,000 | 170 | 586.2 | 4,437.9 | 334 |
26 | 9–3 | 102 | 2,002 | 161.5 | 291.4 | 351.7 | 30 |
27 | 7–5 | 100 | 5,356 | 160 | 299.1 | 486.9 | 219 |
28 | 8–3 | 100 | 1,913 | 160 | 283.4 | 312.2 | 67 |
Summary Statistics
Total number of domains: 15,104
Median: $205
Mean: $397
Standard deviation: 1,175.9
Important Numbers
In the above table, the Median and Group provide valuable information.
I place more value in the median sale price for my calculations because the median provides a reflection of the most frequent sales. The median, like the mean, estimates the middle or center of a group of values. The median in this case is a more robust measure of central tendency than the mean, which is susceptible to outliers. However, I have provided values on the mean and median, so you can choose whichever measure you prefer.
Applying the Data to Domaining
We’re looking for patterns that may have some value as domain investments. Let’s examine group “4–4,” which refers to a two-word domain with each word having four letters, making the name eight characters total.
You can see that the median selling price for group “4–4” domains is $350. This means that half of the group “4–4” domains that sold, were purchased for $350 or more.
These are five examples, which fit into the “4–4” group, taken from GoDaddy Auctions:
- cakemart.com
- thindude.com
- looktall.com
- dietonly.com
- linkmama.com
Based on my analysis of the data, investing in these group “4–4” pattern domain names could yield high returns, as cakemart.com and others have. I think this is good news for domain investors without a lot of capital, as some domains with these patterns can be had for the minimum bid price on GoDaddy Auctions.
Domainers on a budget can use patterns to make investments, but you may have to get creative and use longer domains with lower upfront costs.
More information
The tools used in this analysis were Python 3, WordSegment, Wordnik, pandas, Jupyter notebook, and NumPy.
You may download the sanitized sales data* that was used in this analysis or download all of the sales data.
* Sanitized sales data excludes domain names not composed entirely of words.