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I have started collecting usertrack data, and would like to know what tools
exist to analyze this stuff for Linux.

My questions are, for example: for people coming to my home page from a
certain google query, how many leave right away, how many go to some pages
that I want to consider more closely, and what percentage leaves shortly
afterwards. That sort of stuff.

I can write various shell scripts, but I thought that perhaps this wheel has
already been invented.

A perl/linux solution is preferred.

thanks

Igor

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I have started collecting usertrack data, and would like to know what tools=
exist to analyze this stuff for Linux. <br><br>My questions are, for examp=
le: for people coming to my home page from a certain google query, how many=
leave right away, how many go to some pages that I want to consider more c=
losely, and what percentage leaves shortly afterwards. That sort of stuff. =
<br>
<br>I can write various shell scripts, but I thought that perhaps this whee=
l has already been invented. <br><br>A perl/linux solution is preferred. <b=
r><br>thanks<br><br>Igor<br>

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On Tue, 2009-09-22 at 22:12 -0500, Igor Chudov wrote:
> I have started collecting usertrack data, and would like to know what
> tools exist to analyze this stuff for Linux.
>
> My questions are, for example: for people coming to my home page from
> a certain google query, how many leave right away, how many go to some
> pages that I want to consider more closely, and what percentage leaves
> shortly afterwards. That sort of stuff.

Why not use http://google.com/analytics ?

Works well for us

clint

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I already use google analytics, but I want to do my special analysis.

i

On Wed, Sep 23, 2009 at 3:43 AM, Clinton Gormley <clint [at] traveljury.com>wrote:

> On Tue, 2009-09-22 at 22:12 -0500, Igor Chudov wrote:
> > I have started collecting usertrack data, and would like to know what
> > tools exist to analyze this stuff for Linux.
> >
> > My questions are, for example: for people coming to my home page from
> > a certain google query, how many leave right away, how many go to some
> > pages that I want to consider more closely, and what percentage leaves
> > shortly afterwards. That sort of stuff.
>
> Why not use http://google.com/analytics ?
>
> Works well for us
>
> clint
>
>

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I already use google analytics, but I want to do my special analysis.<br><b=
r>i<br><br><div class=3D"gmail_quote">On Wed, Sep 23, 2009 at 3:43 AM, Clin=
ton Gormley <span dir=3D"ltr"><<a href=3D"mailto:clint [at] traveljury.com">c=
lint [at] traveljury.com</a>></span> wrote:<br>
<blockquote class=3D"gmail_quote" style=3D"border-left: 1px solid rgb(204, =
204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"><div class=3D"im"=
>On Tue, 2009-09-22 at 22:12 -0500, Igor Chudov wrote:<br>
> I have started collecting usertrack data, and would like to know what<=
br>
> tools exist to analyze this stuff for Linux.<br>
><br>
> My questions are, for example: for people coming to my home page from<=
br>
> a certain google query, how many leave right away, how many go to some=
<br>
> pages that I want to consider more closely, and what percentage leaves=
<br>
> shortly afterwards. That sort of stuff.<br>
<br>
</div>Why not use <a href=3D"http://google.com/analytics" target=3D"_blank"=
>http://google.com/analytics</a> ?<br>
<br>
Works well for us<br>
<br>
clint<br>
<br>
</blockquote></div><br>

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On Wed, Sep 23, 2009 at 7:45 AM, Igor Chudov <ichudov [at] gmail.com> wrote:

> I already use google analytics, but I want to do my special analysis.
>
> i
>
> On Wed, Sep 23, 2009 at 3:43 AM, Clinton Gormley <clint [at] traveljury.com>wrote:
>
>> On Tue, 2009-09-22 at 22:12 -0500, Igor Chudov wrote:
>> > I have started collecting usertrack data, and would like to know what
>> > tools exist to analyze this stuff for Linux
>>
>
I typically load all this into a RDBMS and then do SQL queries. This ends
up being a very flexible approach, in my opinion.

Sean



> > My questions are, for example: for people coming to my home page from
>> > a certain google query, how many leave right away, how many go to some
>> > pages that I want to consider more closely, and what percentage leaves
>> > shortly afterwards. That sort of stuff.
>>
>> Why not use http://google.com/analytics ?
>>
>> Works well for us
>>
>> clint
>>
>>
>

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<br><br><div class=3D"gmail_quote">On Wed, Sep 23, 2009 at 7:45 AM, Igor Ch=
udov <span dir=3D"ltr"><<a href=3D"mailto:ichudov [at] gmail.com">ichudov [at] gma=
il.com</a>></span> wrote:<br><blockquote class=3D"gmail_quote" style=3D"=
margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
I already use google analytics, but I want to do my special analysis.<br><b=
r>i<br><br><div class=3D"gmail_quote">On Wed, Sep 23, 2009 at 3:43 AM, Clin=
ton Gormley <span dir=3D"ltr"><<a href=3D"mailto:clint [at] traveljury.com" t=
arget=3D"_blank">clint [at] traveljury.com</a>></span> wrote:<br>

<blockquote class=3D"gmail_quote" style=3D"border-left:1px solid rgb(204, 2=
04, 204);margin:0pt 0pt 0pt 0.8ex;padding-left:1ex"><div>On Tue, 2009-09-22=
at 22:12 -0500, Igor Chudov wrote:<br>
> I have started collecting usertrack data, and would like to know what<=
br>
> tools exist to analyze this stuff for Linux<br></div></blockquote></di=
v></blockquote><div><br></div><div>I typically load all this into a RDBMS a=
nd then do SQL queries. =C2=A0This ends up being a very flexible approach, =
in my opinion.</div>
<div><br></div><div>Sean</div><div><br></div><div>=C2=A0</div><blockquote c=
lass=3D"gmail_quote" style=3D"margin:0 0 0 .8ex;border-left:1px #ccc solid;=
padding-left:1ex;"><div class=3D"gmail_quote"><blockquote class=3D"gmail_qu=
ote" style=3D"border-left:1px solid rgb(204, 204, 204);margin:0pt 0pt 0pt 0=
..8ex;padding-left:1ex">
<div>
> My questions are, for example: for people coming to my home page from<=
br>
> a certain google query, how many leave right away, how many go to some=
<br>
> pages that I want to consider more closely, and what percentage leaves=
<br>
> shortly afterwards. That sort of stuff.<br>
<br>
</div>Why not use <a href=3D"http://google.com/analytics" target=3D"_blank"=
>http://google.com/analytics</a> ?<br>
<br>
Works well for us<br>
<br>
clint<br>
<br>
</blockquote></div><br>
</blockquote></div><br>

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