domain Please Appraise AuroraApartments.com

[gaber]

Aurora is the name of large cities in both Colorado and Illinois. What do you guys think? I want to sell this name as well as lots of other really good two-word geo names.

 

[gaber]

Thoughts?

 

[gaber]

anyone have any thoughts? Aurora CO is a large city...as large as Raleigh NC.

 

[GiftedDomains]

i would say mid xxx

there are not a lot of comparable sales in the past.

there are newyork/LA/paris appartments sales, but these are not comparable.

one is from 2008

coloradospringsappartments.com $770

considerung todays market, i come to my mid xxx appraisal

good luck

 

[nowyo]

This is a good domain. I would say you can easily get high retail for it. I am referencing newyorkapartments.com in my appraisal as this domain recently sold at auction for $65,000. However the buyer of newyorkapartments.com said he was prepared to bid up to $250,000.
I have included the google search data as well as some other factors I take into consideration when valueing a domain name.
Keyword | Domain | All Keywords | Domain Length | Google CPC | Average CPC | High CPC | Exact Local | Exact Global | Wholesale Price | Retail Price | High Retail Price
aurora apartments | auroraapartments.com | aurora apartments | 16 | 1.25 | 2.05 | 2.85 | 480 | 720 | $539 | $829 | $2,066
new york apartments | newyorkapartments.com | newyork apartments, new york apartments, newyorkapartments, new york apartments.com | 17 | 2.88 | 2.58 | 3.3 | 8,332 | 18,530 | $779 | $1,659 | $58,055

 

[Solidflash]

Hi Nowyo!

Could you tell me how you calculate this?

THX

 

[nowyo]

I would be glad to!

Give me a minute as this will be a long post.

 

[Solidflash]

Thanks a lot!

 

[nowyo]

I am going to reference this domain as an example in how we calculate: newyorkapartments.com
---
Our formula requires these values
---
$cpc
$domain_average_cpc
$domain_high_cpc
$local
$global
$domain_extension
$domain_length


---
Here is how we get the values for each of these.
---
$cpc = 2.31
This is the cpc google shows for the domain 'new york apartments' in this case $2.31

$domain_average_cpc = 2.58
We have an average of each word in the domain. So in this example we have 'new', 'york', 'apartments'.
We have cpc data from google keyword tool on 245046 key phrases that have the word 'new' in them and those phrases average $3.20 cpc.
We have cpc data from google keyword tool on 85672 key phrases that have the word 'york' in them and those phrases average $3.30 cpc.
We have cpc data from google keyword tool on 84997 key phrases that have the word 'apartments' in them and those phrases average $1.25 cpc.
I take the these 3 numbers and average them together. (3.20+3.30+1.25)/3

$domain_high_cpc = $3.30
The highest cpc term in the domain. In this case it is 'york' at $3.30

$local = 8100
This is exact local data from google's keyword tool

$global = 18100
This is exact global data from google's keyword tool

$domain_extension = .com
This case is a .com domain

$domain_length = 17
domain length - extension length

We have this data databased on over 300 million keywords.
It is hard to find something that is searched that we don't have data on.


---
Now we plug this data into formula
---

We get a new cpc value that is an average of our 3 $domain_average_cpc, $domain_high_cpc, and $cpc.
So in this case
$new_cpc = (2.31 + 2.58 + 3.30)/3
$new_cpc = 2.73
The reason for this is because google has lead people to bid on specific keywords. Lots of keywords have .10 cpc when it should be higher.

We get a point value for local search volume for the domain.
$point_total_local = (($new_cpc * .8) * $local) * 24

We get a point total for global search volume for the domain.
$point_total_global = (($new_cpc * .8) * $global) * 24

Weight Global vs. Local
$global_div_local = round($point_total_global/$point_total_local);
This will be used to decide if global should have any additional weight.
We don't want global to increase the point total much if it is much higher than locals.
This ensures that a domain with low locals doesn't get a big evaluation based on its global number.
Here is the code that does that.
if ($global_div_local <= 1){$dilute_global = 1;}else{$dilute_global = $global_div_local;}
$point_total = (($point_total_local * $dilute_global) + $point_total_global)/$dilute_global+1;

We Add Point Bump for short domains
if($domain_length == "2"){$point_total=$point_total+800000;}
if($domain_length == "3"){$point_total=$point_total+100000;}
if($domain_length == "4"){$point_total=$point_total+6000;}
if($domain_length == "5"){$point_total=$point_total+2000;}
if($domain_length == "6"){$point_total=$point_total+750;}
if($domain_length == "7"){$point_total=$point_total+500;}
if($domain_length == "8"){$point_total=$point_total+250;}

# Weight Domain Length
$point_total = $point_total / $domain_length;

We get the amount of numbers in a domain. If the domain has numbers the value goes down by 40%.
$point_total = $point_total * .6
# Get amount numbers
$numbers = 0;
$chars = str_split($exploded_domain[0], 1 );
foreach ( $chars as $char )
{
if (is_numeric($char)) {$numbers++;}
}
if($numbers>0){$point_total = $point_total * .6;}


# Extension Discount
We discount the point total for .net and .org to 5% of the .com.
We discount everything else to .5% of the .com value.

The point total is now the high retail value in USD.
in this example it is $58,055
$779 | $1,659 | $58,055
Our site would price this domain at $1,659.
This domain recently sold at auction for $65,000
Our high retail is very close to this.

Our wholesale pricing and retail pricing is based on pricing rules.
For example point total between 50,000-60,000 is priced on our site at $1,659.
We feel like using a fair pricing model that is ahead of the industry standard will help us gain trust and reputation in a very unorganized market.

We price everything on our site with this formula. We sell way under the market price and do high volume.

This pricing model works only with domains without existing traffic. It is based on the ability to get type-in and search traffic as well as what you can expect to make on that traffic.

The domain industry is starving for a fair and consistent way to value a keyword domain and we feel that this formula does a pretty good job.

We are able to price an entire portfolio with this tool instantly.

---------- Post added at 11:57 AM ---------- Previous post was at 11:55 AM ----------

One thing I just realized that we do in addition to this when valueing a domain is take the different keyword combinations that make up a domain name and add the locals and globals.
Example would be:
keyword | cpc | local | global
mens vneck tshirts | 1.74 | 22 | 28
mens v neck t shirts | 1.47 | 720 | 1,000
mens v neck tshirts | 1.23 | 16 | 22
mens vneck t shirts | 0.00 | 0 | 10

 

[gaber]

Hey, thanks for the thoughts. I'm hoping to find an end user for the name. I actually have about 50 of these CITYapartments.com names and am trying to unload my portfolio.