Forum Moderators: martinibuster
How can I find out which page generated this awesomely huge click (usually I get like .12c/ click, so this was shockingly high)... I know what category of my site it's under (like mysite.com/subsection) but not the page... any way to find out?
Probably not, I should just be happy with my good one-click luck and keep plugging away at the site.... And be happy in the knowledge that while some pages give me .10c/click, and apparently at least one gives me more than five bucks...
Kind of a nice surprise as I was getting a little discouraged in lack of grown and tired as I had worked a very long day on the site... I'm taking it as sign of better Adsense times to come :)
[adwords.google.com...]
Check the keywords for your website or pages in question, and then check the "estimated costs and rankings" from the pulldown (mine is german, so probably the text is different).
Enter 20 as CPC (> 3 times of your share) and sort the result descending.
When you're finished sticky me the keyword :^)
i think that the system works to give the advertiser an average, so there will be some really small clicks to counteract the big one.
This is one reason I keep a percentage of channels for URL channels. Even just slicing up my stats via a dozen or so URL channels is often enough, when combined with web logs, to isolate where an unusually high-paying click probably came from.
I am a firm believer that the high clicks are conversions for the advertiser.
Interesting idea. That would mean you only get a shot at those when your click sends the visitor to one of the (I'm guessing) tiny percentage of AdWords advertisers who participate in Google's conversion tracking.
If this were true, I would think I would see strong AdWords folklore claiming that enlisting in Google conversion tracking typically lowers your cost per click. I do not recall encountering this belief at all on the AdWords side, let alone it being a widespread belief.
To Do: Try to identify which (if any!) of my advertisers are using Google conversion tracking, and then see if they correlate with higher-paying clicks.