SERP's click through

users that click on a #1 - #2 - #3 e.g.

[pardo]

Thought I did read a thread before on the percentage of Click Throughs for the different ranking positions/pages here but site search didn't help me that much so again:

Are there indications/averages known for percentage of users clicking on #1 till #30 rankings in the SERP's? I know that it might vary for countries, keywords e.g. but there must be some indications somewhere?

[msgraph]

A lot of that information can only be gathered by the search engines themselves so I doubt that there are any detailed statistics available to the public.

I believe the going number of surfers who never go past the first page is around 85%.

Now I'm sure you can tie some general numbers to each drop in ranking, like by halves or thirds, but there are just too many existing variables out there.

[pardo]

msgraph,

I think that you can find exact figures, but it will be a time consuming effort to get it all clear (apart from differences with competitive keywords, more words phrases, difference in countries e.g.)

My approach would be:

1. analyse google referrers on 'keyword'
2. get #nrs. from keyword
3. count totals of that combination (SE-keyword)
3. do a 24/48 hour 'adwords' campaign on that keyword to see how many queries were done on that 'keyword'
4. determine 'rank-click-through' for that #

Do a lot of combinations (both positions of ranking and keyword combinations) and there will be rough indications for click through in comparison for #.

for example the average ctr could be:
#1 ctr = 7%
#2 ctr = 4,5%

This information will be helpfull when one decide to get a lot of money invested to boost the performance for a certain keyword. When a client will perform on a combination you can run 'adwords' for that keyword and can estimate traffic when you will be ranked within #1-10.

For example: 'widgets' is searched 3.500 times a day - according to our measurement #1 will get about 245 refs. a day.

I think good investigation needs a couple of people to coorporate to do some research before we can fit this in 1 global average figure.

Anyone interested to help?