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30K Daily Visit From Google For One Popular Keyword

June 22, 2006 by  

Christ Smith of naturalsearchblog has written an interesting post about his experience securing the top position on Google for a very popular single keyword.

According to him, their site receives approximately 30,000 visitors on average per day from Google for a keyword he called Term X so as not to reveal propriety information.

When Term X dropped to second spot on the SERP, they lost approximately 18k of visits per day. So the difference between the number one spot and the number two spot for a major keyword term comes to about a 60% change in visits.

Then he continued to find other keywords with similar search volume to Term X using Google Trends. The other keywords are “restaurants”, “nyc”, “Miami”, “seattle”, and “television”.

Because he knows how much traffic Term X brings, now he could estimate how much referral traffic may be associated with the top spot the other keywords. According to him, occupying the top position for each of those keywords likely would bring a site about 30k in visits!

Well, I am not sure how accurate his analysis is but let’s see how it compares with data derived from other source.

For this purpose, I am using Good Keywords, a free program to help me find out how many times a certain keyword was searched for in a given month in the pay per click search engine, Yahoo! Search Marketing (previously known as Overture).

While I know I am comparing data from two totally different search engines, I presume the possibility for popular keywords in Google to be popular elsewhere isn’t too remote either.

I didn’t use the word “restaurants” because Yahoo! Search Marketing considers “restaurant” and “restaurants” as one term and thus produce an over-inflated monthly count of 5,067,396.

The rest of the keywords return the following results:

nyc – 59,488
miami – 106,398
seattle – 81,391
television – 331,360

It’s highly possible that the search volumes for these keywords are much higher because Google is much more popular than Yahoo! Search Marketing.

Based on the data from comScore Media Metrix released in March 2006, 42.7% of searches were done at Google, and Yahoo search share was 28%. However keep in mind that this percentage includes searches at any Yahoo-owned web site including those of AltaVista, AllTheWeb and Overture.

For argument sake let’s assume that Google search volume is five times higher than that of Overture (I know this is too simplistic and I am assuming a lot here).

Since we know from the Google Trends graph that Term X is typically more popular than “television”, we can further assume that TermX could have been searched 1,656,800 times in a typical month or 55,226 times per day.

So it’s possible that being able to secure the top position for Term X could have brought in 30K visits per day from Google.

However, there are two main factors that determines click through rates on the SERP, i.e. position and relevancy. The writer fails to mention the second factor which could have affected the click through rate too.

Nevertheless, his analysis does show the amount of traffic you could get for securing the top spot for popular keywords.

[via Problogger]

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1 Comment »

Comment by Chris Smith
2006-06-23 02:18:22

Darren, nice commentary/critique about my posting!

You are, of course, right — I played a bit loose and fast in assuming that the different keywords that have similar amounts of searches on Google would convert into clicks for the link in the top of the SERPs. You’re right that it depends upon the relevancy and position and link text + description.

It’s also hard to compare between the search engines, since they have very different page layouts for their SERPs — some of them are using custom templates for particular types of keyword searches.

While admittedly I ignored all these other factors that could affect click-throughs for the top position, I’ve hopefully helped folx out a bit by providing a loose estimation method for how valuable top position can be vs. second position, and also maybe helped in showing a loose estimation method for relating terms of similar volumes of searches to one another on Google.

You’ve inspired me to consider doing some similar studies with the other major search engines, too!

Thanx for mentioning my post.

 
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