- [Narrator] Previously we did a quick inline filter
to show Google as a source.
But Google can be an organic search engine
as well as just a page on Google.com
with links to our store,
we may want to distinguish between the two.
So we'll still be looking for Google
as a source in that case,
but with the medium of referrals
since that's how Google and Linux indicates
a link was clicked or referred.
Now there are a few ways to do this,
but one is the advanced filter.
So we go over here to where the inline filter was
and we click on advanced,
it'll bring this drop down here
and we've got a few more options.
Now just like before we want to include a source
and medium containing Google,
but we want to do an and here
and we're gonna do another source medium here
where it contains referral.
Go ahead and apply that.
Now we can see that any mediums
that weren't referral have been excluded
and we're able to surface lots
of these pages with less traffic
than otherwise would've been immediately lost
in the noise.
Now going back to this if we click edit
we can see it again.
A couple things to point out here,
first we wanna make sure we can include
or exclude the traffic that we're identifying here.
There are a few different options that we've got,
we chose containing and we're gonna give you
an example of the regular expressions in just a minute,
but there are a few other options you can put as well.
Now one thing you won't see here is an or.
So I can't say that I want to include this or this.
So for example, let's say that I wanted to include
traffic from Youtube and from Facebook.
Now although I said and,
what I really should have said was or.
Youtube or Facebook because it's actually impossible
to have traffic from Youtube
and from Facebook here
and so of course we get zero down here.
Now I don't have an option for an or,
but if I clear this out,
what I do have up here is a regular expression,
we won't get too far into those
other than to say they're a bunch of little characters
that can do interesting things,
one of those is called the pike character
is just a vertical bar it's usually above the enter key
and that is respectively an or.
So we can say I want to match Youtube
or Facebook and when we go ahead and apply that...
What we see down here is traffic
that's only from Youtube or Facebook.
Okay so let's play around a little bit more.
We've gone over filtering by the primary dimension,
but as you can see we can filter over here
by symmetrics as well.
So to do that we don't just have the dimensions,
but we can identify a metric,
let's say for example sessions.
We could do sessions greater than 100.
What I think is actually really interesting is
that we can even do filters here
on data that we don't see down here in the table.
For example, we could come down here
to ecommerce metric
and we could take average order value.
We can say I want to see everything from Youtube
or Facebook with an average order value
of greater than $10.
Go ahead and apply that.
As we see here now, there's only two source mediums
that are either from Facebook or Youtube
and have an average order value greater than $10.
There's all kinds of other data
that's associated with these visits
and we can filter on that as well.
Like so many tools that are powerful analysis,
most users simply have no idea they're there,
but now you do
and I'm convinced you'll use these over
and over now that you see the power
and you know how to do it.