tricknguyen
Established Member
- Impact
- 40
Hello guys,
I'm still a newbie in the domain field. I started learning domain investing recently, and I am not trying to teach anyone yet. I am mainly documenting my research process and trying to improve it based on feedback from more experienced investors.
This time I reviewed a batch of GoDaddy Closeout domains found through ExpiredDomains.
The goal was not just to find names that sound good. I wanted to test a stricter research process and avoid buying names only because they look clean at first glance.
A bit of context: I'm 14 years old and still treating this as a learning / research exercise. I am trying to understand how experienced investors think about buyer pools, downside risk, and realistic resale value.
The Main Change In My Thinking
Before, I often started with:
"Is this domain beautiful?"
Now I try to start with:
- Who would realistically buy this domain?
- Why would they buy it?
- Do they have budget and willingness to pay?
- Is there a wide buyer pool, or only one obvious buyer?
- Is there trademark, UDRP, or market-exposure risk?
- Is the purchase price low enough compared with realistic resale value?
This change made the batch look much weaker than my first impression.
Source And Initial Filter
The starting list came from GoDaddy Closeout results on ExpiredDomains.
My quick filter was:
- .com preferred
- 2-word names preferred
- Around 15 characters or shorter
- No hyphens
- No numbers
- English or at least pronounceable
- Low closeout price preferred
- Obvious negative meanings removed
After that, I separated the names into three main research groups:
1. Brand / company / generic names
2. GEO / local service names
3. Personal names
Total reviewed in the final workbook: 57 domains.
The Research Framework I Used
1. Source filtering
For GoDaddy Closeout and ExpiredDomains, I first used a stricter name-quality filter before doing deeper research.
2. Domain type classification
Each name goes into one primary flow:
- Brand / company / generic: Are there multiple real companies or active sites using this name?
- GEO / local service: Is there a wide enough buyer pool, not just one local business?
- Personal name: Are there enough real professionals with this name?
- SEO domain: Is there backlink, traffic, authority, or topical value?
- Trademark / single-buyer risk: Is the only likely buyer a trademark holder?
3. Quick eye test
I checked if the domain is easy to say, easy to spell, memorable, commercially usable, and has a clear use case.
I skipped names that were forced, awkward, too narrow, negative, or only sounded good without a real buyer thesis.
4. Active-use / buyer-pool validation
For brand-style names, I used DotDB when available.
My rough guide:
- 10+ active sites = strong
- 5-9 active sites = good
- 2-4 active sites = caution
- 0-1 active sites = weak / usually skip
For GEO names, I used Google Maps manually.
The feedback I am trying to follow is: do not buy because one local business matches. Look for a wider buyer pool, ideally 100-200+ possible buyers for local-service names.
For personal names, I used LinkedIn count buckets:
- Under 100 profiles = usually skip
- 100+ profiles = sample 10-20 profiles
- 500+ profiles = good count signal, but still not auto-buy
Brand / Generic Active-Use Results
This part was weaker than I expected. Many names looked decent to me at first, but the actual active-use signal was low.
The two names that reached my caution/watchlist range:
- CivicSites.com - $5 - 3 exact / 5 total / 2 active - Watchlist
- SheScribe.com - $5 - 2 exact / 7 total / 2 active - Watchlist
Other brand-style names I skipped after active-use checks:
- CampaignWarrior.com - $5 - 1 active
- MeetAide.com - $11 - 1 active
- RecipeSidekick.com - $5 - 1 active
- PremarketInfo.com - $11 - 0 active
- PartsSociety.com - $5 - 1 active
- ExactCam.com - $5 - 1 active
- StudioZion.com - $5 - 1 active
- AdTwins.com - $11 - 1 active
My takeaway:
CivicSites.com and SheScribe.com were the only brand-style names I kept as soft watchlist names. Most others had only 0-1 active sites, so I downgraded them instead of forcing a buy thesis.
GEO / Local Service Results
This was another useful lesson.
Some GEO-style names looked usable at first, but the buyer pool was often too small.
- WichitaCarwash.com - $5 - around 63 relevant businesses - watchlist only / low priority
- MaconPsychiatry.com - $5 - around 4 relevant businesses - skip
- LudwigDentistry.com - $11 - around 1 relevant business - skip
- UrdialesRoofing.com - $11 - 0 business found - skip
- AtlanticVacuum.com - $5 - around 1 relevant business - skip
WichitaCarwash.com was the only GEO-style name with a somewhat meaningful buyer pool, but 63 possible buyers is still below the stronger 100-200+ benchmark.
The others looked like one-buyer or very-few-buyer situations, which is exactly the type of mistake I am trying to avoid.
Personal Name Research
This was the most interesting part of the batch.
Earlier, I would have skipped most personal names automatically. After feedback, I now treat them as a separate category and check LinkedIn demand first.
The strongest count signals:
- ElizabethKent.com - $5 - 500+ LinkedIn profiles - watchlist
- StephenWinn.com - N/A - 500+ LinkedIn profiles - watchlist
- TerryJefferson.com - $5 - 500+ LinkedIn profiles - watchlist
- MartinMoran.com - N/A - 500+ LinkedIn profiles - watchlist
- YuriMartinez.com - $11 - 500+ LinkedIn profiles - watchlist
Lower-priority personal-name candidates:
- AntonioVerdi.com - $11 - around 360 LinkedIn profiles
- SarahRocco.com - $11 - around 350 LinkedIn profiles
- JoshNagel.com - $5 - around 230 LinkedIn profiles
- ErikFlowers.com - N/A - around 230 LinkedIn profiles
My current thinking:
500+ LinkedIn profiles is a good count signal, but it is still not enough by itself. The next step would be to open 10-20 profiles for each name and check whether the people are real professionals with possible personal-branding needs.
Professions I would look for:
- Founder
- CEO
- Lawyer
- Realtor
- Doctor
- Consultant
- Creator
- Designer
- Investor
- Speaker
- Freelancer
Final Decision From This Batch
Ready to buy now:
- None
Watchlist - personal names:
- ElizabethKent.com
- StephenWinn.com
- TerryJefferson.com
- MartinMoran.com
- YuriMartinez.com
Maybe - personal names:
- AntonioVerdi.com
- SarahRocco.com
- JoshNagel.com
- ErikFlowers.com
Watchlist - brand names:
- CivicSites.com
- SheScribe.com
Low-priority GEO:
- WichitaCarwash.com
Skip:
- Most remaining names
Final Recommended Actions
- Do not buy any domain immediately from this batch.
- Prioritize personal names with 500+ LinkedIn count, but only after sampling real profile quality.
- Keep CivicSites.com and SheScribe.com as soft watchlist names, not buy-now names.
- Treat WichitaCarwash.com as low priority because 63 possible local buyers is below the stronger GEO benchmark.
- Skip names where active-use, buyer pool, or LinkedIn count is weak.
What I Learned
This batch was useful because it stopped me from buying names just because they looked clean.
My main lessons:
- A good-looking 2-word .com can still be weak if active usage is low.
- One obvious local buyer is not enough.
- Small local businesses often do not pay much for domains.
- Personal names should not be skipped automatically.
- 500+ LinkedIn profiles is a good signal, but still requires profile-quality sampling.
- DotDB / active-use validation matters more than my first impression.
- A domain is only interesting if there is a realistic buyer, budget, acceptable risk, and enough margin.
The rule I am trying to follow now:
"Buy only when the domain has a clear buyer thesis, realistic budget, acceptable legal/history risk, and enough margin that I am not depending on hope."
Full detailed report is here:
https://trick-nguyen.vercel.app/blog/godaddy-closeout-research-may-5
My blog is only where I document what I am learning in this field. I am not trying to teach yet, just trying to get feedback and improve my process.
Would really appreciate honest feedback from experienced investors.
Where do you think my analysis is wrong?
Which parts of this framework should I improve before I even think about buying closeout domains?
And also link contain full my research I let in Google Excel
https://docs.google.com/spreadsheets/d/1SfU2-Kcou_RnehK02u6s9oz96jzdYz52ZkJjA8SayFw/edit?usp=sharing
Thanks everyone.
I'm still a newbie in the domain field. I started learning domain investing recently, and I am not trying to teach anyone yet. I am mainly documenting my research process and trying to improve it based on feedback from more experienced investors.
This time I reviewed a batch of GoDaddy Closeout domains found through ExpiredDomains.
The goal was not just to find names that sound good. I wanted to test a stricter research process and avoid buying names only because they look clean at first glance.
A bit of context: I'm 14 years old and still treating this as a learning / research exercise. I am trying to understand how experienced investors think about buyer pools, downside risk, and realistic resale value.
The Main Change In My Thinking
Before, I often started with:
"Is this domain beautiful?"
Now I try to start with:
- Who would realistically buy this domain?
- Why would they buy it?
- Do they have budget and willingness to pay?
- Is there a wide buyer pool, or only one obvious buyer?
- Is there trademark, UDRP, or market-exposure risk?
- Is the purchase price low enough compared with realistic resale value?
This change made the batch look much weaker than my first impression.
Source And Initial Filter
The starting list came from GoDaddy Closeout results on ExpiredDomains.
My quick filter was:
- .com preferred
- 2-word names preferred
- Around 15 characters or shorter
- No hyphens
- No numbers
- English or at least pronounceable
- Low closeout price preferred
- Obvious negative meanings removed
After that, I separated the names into three main research groups:
1. Brand / company / generic names
2. GEO / local service names
3. Personal names
Total reviewed in the final workbook: 57 domains.
The Research Framework I Used
1. Source filtering
For GoDaddy Closeout and ExpiredDomains, I first used a stricter name-quality filter before doing deeper research.
2. Domain type classification
Each name goes into one primary flow:
- Brand / company / generic: Are there multiple real companies or active sites using this name?
- GEO / local service: Is there a wide enough buyer pool, not just one local business?
- Personal name: Are there enough real professionals with this name?
- SEO domain: Is there backlink, traffic, authority, or topical value?
- Trademark / single-buyer risk: Is the only likely buyer a trademark holder?
3. Quick eye test
I checked if the domain is easy to say, easy to spell, memorable, commercially usable, and has a clear use case.
I skipped names that were forced, awkward, too narrow, negative, or only sounded good without a real buyer thesis.
4. Active-use / buyer-pool validation
For brand-style names, I used DotDB when available.
My rough guide:
- 10+ active sites = strong
- 5-9 active sites = good
- 2-4 active sites = caution
- 0-1 active sites = weak / usually skip
For GEO names, I used Google Maps manually.
The feedback I am trying to follow is: do not buy because one local business matches. Look for a wider buyer pool, ideally 100-200+ possible buyers for local-service names.
For personal names, I used LinkedIn count buckets:
- Under 100 profiles = usually skip
- 100+ profiles = sample 10-20 profiles
- 500+ profiles = good count signal, but still not auto-buy
Brand / Generic Active-Use Results
This part was weaker than I expected. Many names looked decent to me at first, but the actual active-use signal was low.
The two names that reached my caution/watchlist range:
- CivicSites.com - $5 - 3 exact / 5 total / 2 active - Watchlist
- SheScribe.com - $5 - 2 exact / 7 total / 2 active - Watchlist
Other brand-style names I skipped after active-use checks:
- CampaignWarrior.com - $5 - 1 active
- MeetAide.com - $11 - 1 active
- RecipeSidekick.com - $5 - 1 active
- PremarketInfo.com - $11 - 0 active
- PartsSociety.com - $5 - 1 active
- ExactCam.com - $5 - 1 active
- StudioZion.com - $5 - 1 active
- AdTwins.com - $11 - 1 active
My takeaway:
CivicSites.com and SheScribe.com were the only brand-style names I kept as soft watchlist names. Most others had only 0-1 active sites, so I downgraded them instead of forcing a buy thesis.
GEO / Local Service Results
This was another useful lesson.
Some GEO-style names looked usable at first, but the buyer pool was often too small.
- WichitaCarwash.com - $5 - around 63 relevant businesses - watchlist only / low priority
- MaconPsychiatry.com - $5 - around 4 relevant businesses - skip
- LudwigDentistry.com - $11 - around 1 relevant business - skip
- UrdialesRoofing.com - $11 - 0 business found - skip
- AtlanticVacuum.com - $5 - around 1 relevant business - skip
WichitaCarwash.com was the only GEO-style name with a somewhat meaningful buyer pool, but 63 possible buyers is still below the stronger 100-200+ benchmark.
The others looked like one-buyer or very-few-buyer situations, which is exactly the type of mistake I am trying to avoid.
Personal Name Research
This was the most interesting part of the batch.
Earlier, I would have skipped most personal names automatically. After feedback, I now treat them as a separate category and check LinkedIn demand first.
The strongest count signals:
- ElizabethKent.com - $5 - 500+ LinkedIn profiles - watchlist
- StephenWinn.com - N/A - 500+ LinkedIn profiles - watchlist
- TerryJefferson.com - $5 - 500+ LinkedIn profiles - watchlist
- MartinMoran.com - N/A - 500+ LinkedIn profiles - watchlist
- YuriMartinez.com - $11 - 500+ LinkedIn profiles - watchlist
Lower-priority personal-name candidates:
- AntonioVerdi.com - $11 - around 360 LinkedIn profiles
- SarahRocco.com - $11 - around 350 LinkedIn profiles
- JoshNagel.com - $5 - around 230 LinkedIn profiles
- ErikFlowers.com - N/A - around 230 LinkedIn profiles
My current thinking:
500+ LinkedIn profiles is a good count signal, but it is still not enough by itself. The next step would be to open 10-20 profiles for each name and check whether the people are real professionals with possible personal-branding needs.
Professions I would look for:
- Founder
- CEO
- Lawyer
- Realtor
- Doctor
- Consultant
- Creator
- Designer
- Investor
- Speaker
- Freelancer
Final Decision From This Batch
Ready to buy now:
- None
Watchlist - personal names:
- ElizabethKent.com
- StephenWinn.com
- TerryJefferson.com
- MartinMoran.com
- YuriMartinez.com
Maybe - personal names:
- AntonioVerdi.com
- SarahRocco.com
- JoshNagel.com
- ErikFlowers.com
Watchlist - brand names:
- CivicSites.com
- SheScribe.com
Low-priority GEO:
- WichitaCarwash.com
Skip:
- Most remaining names
Final Recommended Actions
- Do not buy any domain immediately from this batch.
- Prioritize personal names with 500+ LinkedIn count, but only after sampling real profile quality.
- Keep CivicSites.com and SheScribe.com as soft watchlist names, not buy-now names.
- Treat WichitaCarwash.com as low priority because 63 possible local buyers is below the stronger GEO benchmark.
- Skip names where active-use, buyer pool, or LinkedIn count is weak.
What I Learned
This batch was useful because it stopped me from buying names just because they looked clean.
My main lessons:
- A good-looking 2-word .com can still be weak if active usage is low.
- One obvious local buyer is not enough.
- Small local businesses often do not pay much for domains.
- Personal names should not be skipped automatically.
- 500+ LinkedIn profiles is a good signal, but still requires profile-quality sampling.
- DotDB / active-use validation matters more than my first impression.
- A domain is only interesting if there is a realistic buyer, budget, acceptable risk, and enough margin.
The rule I am trying to follow now:
"Buy only when the domain has a clear buyer thesis, realistic budget, acceptable legal/history risk, and enough margin that I am not depending on hope."
Full detailed report is here:
https://trick-nguyen.vercel.app/blog/godaddy-closeout-research-may-5
My blog is only where I document what I am learning in this field. I am not trying to teach yet, just trying to get feedback and improve my process.
Would really appreciate honest feedback from experienced investors.
Where do you think my analysis is wrong?
Which parts of this framework should I improve before I even think about buying closeout domains?
And also link contain full my research I let in Google Excel
https://docs.google.com/spreadsheets/d/1SfU2-Kcou_RnehK02u6s9oz96jzdYz52ZkJjA8SayFw/edit?usp=sharing
Thanks everyone.
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