domain OIR.com - What's your take on 3L? Appraise before they sell!

Don't you have an automated method you just came up with for these?

baseballworld said:

Don't you have an automated method you just came up with for these?

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Yeah. Fine tuning it now. Would love for someone to try to outguess an algorithm lol. Could be some fun!

Just curious what your algo would output for LLL that are also words like sun.com or yes.com

Asfas1000 said:

Just curious what your algo would output for LLL that are also words like sun.com or yes.com

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Haven't figured out how to account for value outside of the individual letters and letter positions yet. That task is rather complicated.

Either way, if you'd like an appraisal of something let me know! I have an end user algorithm and a wholesale algorithm.

Does your algo work with dot coms only or does it cover others like .domains, etc

baseballworld said:

Does your algo work with dot coms only or does it cover others like .domains, etc

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Can work with anything that has enough of a history/data.

add $10000 more to all of them.

wesley sweatman said:

add $10000 more to all of them.

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To what? Adding $10,000 to each of my estimates would make me even less accurate.

the demand on 4L.com is going up, you underestimate the power of the 3L lol

wesley sweatman said:

the demand on 4L.com is going up, you underestimate the power of the 3L lol

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You are misunderstanding the difference between data and emotion.

ok, whatever you say. Just helping.

wesley sweatman said:

ok, whatever you say. Just helping.

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Honestly, the data suggests most 3L will continue to decline by another 10-15%.

Not bad Shane...its really tough to be accurate with LLL names with all the meanings and acronyms out there. Will PM you a list of LLL sales I have from the last 2 years or so if you wanted to run any of them for testing

Shane is this algo based entirely on past sales ?

Asfas1000 said:

Shane is this algo based entirely on past sales ?

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That's a complicated question. It is passed on sales history but it is not assigned to a domain. For example, if you say ABC.com sold for $10k my algorithm will not return $10,000 as the value. It will give you another value entirely. Helps you see if it's appreciated or even if you undersold.

P.S. I'm probably going to make this a free tool.

Shane Bellone said:

That's a complicated question. It is passed on sales history but it is not assigned to a domain. For example, if you say ABC.com sold for $10k my algorithm will not return $10,000 as the value. It will give you another value entirely. Helps you see if it's appreciated or even if you undersold.

P.S. I'm probably going to make this a free tool.

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Well maybe I did not phrase the question properly.
I mean, is the historic sales all the data you use to come up with a price ? Or do you contribute more data to the system like letter frequency etc.

Asfas1000 said:

Well maybe I did not phrase the question properly.
I mean, is the historic sales all the data you use to come up with a price ? Or do you contribute more data to the system like letter frequency etc.

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Right now it's purely based on sale's history. Frequency will show liquidity. Just have to figure out the right formula and how to report it in an easy to understand metric.

Does it take the historical inflation rate(s) into consideration? This may, or may not be, an important factor in determining value now as you're comparing it to past data.

Similar to David Walker's question : as LLL prices change with time, will the algo adapt ?

Asfas1000 said:

as LLL prices change with time, will the algo adapt ?

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Let's be a bit modest We all know that automated valuations are only an indicator among others. An estimate within 10% is great.

Thanks for sharing Shane. Do you think your method will be applicable to longer brandable (BB types) where accronyms are usually unimportant. ?

aramyus said:

Let's be a bit modest We all know that automated valuations are only an indicator among others. An estimate within 10% is great.

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This is an easier type of domains to appraise. Words and search volumes etc are not taken into consideration. Just the letters.

Asfas1000 said:

This is an easier type of domains to appraise. Words and search volumes etc are not taken into consideration. Just the letters.

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Indeed. That's why I was asking about brandable. May be I should have said meaningless or semi-meaningless brandables.

aramyus said:

Indeed. That's why I was asking about brandable. May be I should have said meaningless or semi-meaningless brandables.

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Made-up brandables maybe ? That should be feasible. But any association with real words (like cloudsy.com) would complicate things.

David Walker said:

Does it take the historical inflation rate(s) into consideration? This may, or may not be, an important factor in determining value now as you're comparing it to past data.

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The appraisals will be somewhat accurate providing people continue to report sales.

Asfas1000 said:

Similar to David Walker's question : as LLL prices change with time, will the algo adapt ?

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Yes.

aramyus said:

Let's be a bit modest We all know that automated valuations are only an indicator among others. An estimate within 10% is great.

Thanks for sharing Shane. Do you think your method will be applicable to longer brandable (BB types) where accronyms are usually unimportant. ?

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Not this one. I experimented with other valuation methods about 6 months back and I can say those are too subjective in nature. It's not based on any data, more so on emotional connection.

Asfas1000 said:

This is an easier type of domains to appraise. Words and search volumes etc are not taken into consideration. Just the letters.

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Totally disagree. There aren't direct connections like you might think.

aramyus said:

Indeed. That's why I was asking about brandable. May be I should have said meaningless or semi-meaningless brandables.

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Asfas1000 said:

Made-up brandables maybe ? That should be feasible. But any association with real words (like cloudsy.com) would complicate things.

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It's all very complicated.