For a while, I thought auction research was mostly about spotting a decent-looking domain before other people noticed it.
That sounds logical when you are new.
I open GoDaddy Auctions, Namecheap Auctions, or a drop list. I see thousands of names. Some are ending soon. Some have no bids. Some have surprisingly high GoDaddy valuations. A few look like they could be startups.
The temptation is to think:
"If I can just find the cheap hidden one, I win."
After doing this almost every day, and after getting feedback from investors who have been doing this much longer than me, I look at it differently now.
The hard part is not finding names that look interesting.
There are interesting names everywhere.
The hard part is not fooling yourself.
The First Question I Ask Now
When I see a domain, I try not to start with the price.
I start with a boring question:
Who would actually use this?
Not "could someone use this?"
Almost every domain can be explained if you try hard enough.
I mean: would a real business, with a real reason to care about the .com, understand the name quickly?
That one question removes a lot of names.
If the answer sounds like a stretch, I move on or lower my interest immediately.
For example, a clean name in a commercial category gets my attention faster than a clever name that needs a paragraph of explanation. A domain like VoteAI.com is easy to understand. You may still decide not to buy it because voting and AI can be sensitive, but the use case is clear.
That is different from a name where I need to invent the business model from scratch.
I Care More About Buyer Pool Than One Perfect Buyer
At first, I thought finding one exact company was a good sign.
Now I am more careful.
One exact company can mean demand, but it can also mean trouble. If there is only one obvious buyer, and that buyer already uses the name or owns a trademark, then I may not have a domain investment. I may just have a legal-risk problem with a price tag.
The better situation is when many companies could want the name.
Not just one.
For each serious candidate, I search for similar companies, similar brands, LinkedIn pages, Crunchbase profiles, Google results, and active websites on other extensions.
I am trying to answer:
- Are there multiple buyers?
- Are they in a category with money?
- Are they internet-native enough to care about a .com?
- Are they using weaker domains?
- Would the domain help them look more credible?
DotDB Is Useful, But It Can Mislead You
I use DotDB a lot.
It helps me understand whether a term is actually being used across domains. If a keyword has many registered extensions and active sites, that can be a good sign.
But DotDB is not a buy button.
Strong numbers can mean many potential buyers.
They can also mean many existing brands, more trademark clutter, and less clean upside.
That is why I now use DotDB as a signal, not proof.
If DotDB is strong, I still ask:
"Is this broad demand, or am I walking into existing-brand risk?"
That question matters a lot.
Spelling Is More Important Than I Wanted To Admit
One investor gave me feedback on Recipeify.com that stuck with me.
The name had some good things going for it. It sounded like a recipe app, food tool, meal planner, or AI recipe generator.
But the feedback was simple:
It is kind of hard to remember how to spell.
That was fair.
I still thought it could be worth a small-risk bid, but the feedback changed how I score brandables.
Now, when I look at a name, I ask:
- Would someone spell it correctly after hearing it once?
- Is there a more obvious version?
- Does it look like another known brand?
- Is the creative spelling helping or hurting?
Wayback Is Not Just For SEO People and more useful
I used to think of Wayback mostly as an SEO-history check. That's actually
When a domain has old snapshots, I want to know what it used to be.
Was it a real business?
Was it parked for years?
Was it used for spam, adult, casino, pharma, or thin affiliate pages?
Was it tied to an exact prior brand?
A clean history does not make a domain good by itself, but a bad history can make an otherwise nice name harder to justify.
In recent research, I checked names like PestMarketing.com, RetailTrove.com, EcoCarCare.com, RmaSoftware.com, TechBio.com, VoteAI.com, and others through Wayback.
Sometimes the history was neutral.
Sometimes it raised caution.
Sometimes it simply told me: "This one needs more checking before bidding."
That is enough value for me.
Trademark Risk Is Where Nice Names Die
This is the least fun part of auction research, but probably one of the most important.
A domain can sound great and still be a bad buy.
The danger pattern is usually something like this:
- made-up or semi-made-up brand
- exact company already exists
- trademark predates the auction
- only one obvious buyer
- the resale thesis depends on that one buyer
I Decide The Max Bid Before The Auction Gets Emotional
This is the most practical rule I use.
Before bidding, I write down the max.
Not a vague number.
A real number.
For small speculative names, that might be $5, $12, or $25.
For stronger buyer-pool names, maybe $50 to $125.
For a truly strong name, it can be higher, but only if the buyer thesis, comps, legal risk, and resale range support it.
Finally, summarize my Daily Checklist Now
I still use a checklist, but I do not treat it like a mechanical scoring system.
The flow is roughly:
- Pull auction inventory and drop lists.
- Start with .com names.
- Remove obvious junk: hyphens, numbers, awkward grammar, negative meaning.
- Look for names that sound like real companies.
- Check whether the commercial use case is obvious.
- Search Google for similar companies and brands.
- Check whether there are multiple possible buyers.
- Use DotDB or DomainOnline to understand active-use signal.
- Check Wayback history.
- Check trademark risk with Google, WIPO, USPTO, Justia, or EUIPO when needed.
- Look at comps only as guardrails.
- Set the max bid.
- Bid late if I prefer, but only at the max.
- Walk away when the price no longer fits the thesis.
The more I research, the more I realize that auction discipline is not dramatic.
It is mostly small decisions repeated every day.
Most names should be skips.
Some names are worth watching.
A few are worth small bids.
Very few deserve aggressive bids.
That is the current version of my process.
It will probably change again as I get more reps and more feedback, but this framework has already helped me avoid names I would have bought too quickly before.