There are so many details we already have (keywords, page of entry, etc) - but the bounces frustrate me a lot. If they are bouncing after 2 seconds, that's a problem. If they are bouncing from my info page after 60 seconds, that's a totally different problem: it means they liked what they read, but I somehow couldn't entice them to stay.

That would cause a DDoS.

Something else I'd like to see is a measurement of average page load times. In practice the best you could do is time from tracking script load to dom ready and/or body load. So your numbers would be off, but still useful for spotting trends.

Not sure how they do these measurements. But what is really needed is a tool that can measure on ajax sites.

For now i've started counting server side requests, and it really is showing how unreliable Google Analytics is.

and

http://www.google.com/support/analytics/bin/answer.py?answer...

Doesn't work to track Ajax? I've never used but was thinking to apply for some of my projects.

I'll second other posters that time on site for each page is a biggie.

Anything you can do to expand on the 'funnel' model is solid. (Clicktracks treatment of this is especially good IMHO)

Just to throw it out, I'd love to know more about if/how my users use other sites (so i could see if they've been on competitor.com or wherever recently =P), Although I can't possibly think of a way to do this that isn't a blatant privacy violation.

I'd also like more clustering options by language or country, so i could see if US/English users use the site differently than UKers or German speakers, although I realize that for most sites that are international enough to care, they have multiple language sites, there's still visitor cross-over.

This is a stupid one, but automatic FTP downloading of log files is something I seem to have to set up all the time, so a mechanism for aggregating logs would be nice =).

All just random brain noise, hope it helps =).

There are lots of things that would be useful to know.

Here is an example

So, say you want to know how regular users of feature X, to get to it. There are lots of questions you might want answered.

Say you find 5 - 10 'paths.'m (eg google search for 'site.com'>homepage>pagex>login') You might want to see the general pie graph of which paths get used. Google analytics can probably handle this. But what if you want to know about 'users' using this path. Do users migrate from path A to path B over time? Do users form their path in the first visit & stick to it? Are users erratic in their choice of path? Do users of the site that joined after redesign (sub segment) use a different path. Are users of more advanced features (sub segment) more likely to use path X.

1. how many sites before mine they were at

2. how happy i made the user

3. how angry i made the user

4. a full detail of their computer specs. so i can set my expectations on site performance

Answers: 1. Way way too many (I'm to the stage of browsing that I'm posting comments! ehhe). 2. Great answer to the initial question so I'm pretty happy now. 3. Very very far from angry (see 2) 4. MacBook Pro (10.5.5) 2.4Ghz Core2 Duo 4GB RAM.