►
Description
Shane Rice (Manager, Inbound Marketing) shares tips and tricks for analyzing site traffic in the GitLab Handbook. Find other helpful tips at https://about.gitlab.com/handbook/practical-handbook-edits/.
C
A
A
Yeah,
that's
pretty
it's
impressive
that
it
catches
that
right,
but
it
recognizes
the
sound
all
right
thanks
for
everybody
joining
today,
we're
excited
to
have
shane
rice
as
our
guest
speaker,
so
shane
a
little
bit
of
background.
This
we've
formed
this
group
and
have
been
meeting
regularly
to
talk
about
just
some
practical
tips
for
using
the
handbook,
and
so
we've
got
even
a
practical
tips,
handbook
page
that
monica
helped
us
create
and
emily's
been
guiding
us
through
and
some
other
guest
speakers
of
hey
how
to
do
this.
How
to
do
that?
A
One
of
the
topics
that's
come
up
actually
a
couple
of
times
now
in
this
series
is:
how
can
we,
you
know,
gather
some
insights
into
traffic
and
visits
to
our
handbook,
page
and
understanding.
A
You
know
how
many
clicks
we're
getting
that
kind
of
thing,
so
we'd
love
to
yeah
reached
out
to
you
to
just
give
us
an
overview.
I
know
you've
got
access
to
some
of
that
information
and
you
take
us
from
here
I'd
love
to
share
and
then
we'll
ask
ask
questions
after
that.
B
Yeah,
great
thanks
david.
So
what
I'll
do
is
I'll
go
ahead
and
share
my
screen
and
just
walk
through
some
of
what
we
have
in
the
google
analytics
application
directly
and
then
we'll
talk
about
some
tools
we
have
outside
of
this.
We
can,
you
know,
get
some
of
this
data
into
a
tool
called
data
studio,
some
places
where
it
can
be
more
publicly
available
so
that
you
don't
have
to
have
an
access
request
in
to
be
in
the
google
analytics
tool
to
find
this
and.
A
B
I'm
gonna
definitely
do
that
so
yeah,
so
I'm
shane
rice.
I
work
in
marketing,
I'm
the
manager
for
inbound
marketing
and
I
had
to
think
about
that
because
it
changed
this
week,
but
it's
not
bad.
I
like
it
and
so
one
of
the
things
some
of
the
things
I
do
are
you
know
help
focus
on
the
strategy
for
organic
discovery,
so
make
sure
people
can
find
us
when
they
search
for
related
terms.
You
know
git
lab
ci.
B
Those
kind
of
things
then
measure
our
success
in
that,
and
so
we
use
google
analytics
to
do
that
on
the
marketing
website,
as
well
as
docs
forum
customers
and
those
all
have.
The
google
analytics
cookie
firing
when
someone
visits
and
then
also
conversion
testing,
making
sure
that
we're
optimizing
for
conversion.
You
know
converting
people
to
hopefully
leads
as
they
visit
our
site,
so
I
could
have
stopped
sharing
my
screen
when
I
did
that.
So
sorry,.
B
So
diving
into
google
analytics.
If
we
go
here,
we
can
look
at
the
behavior
for
specific
pages
in
the
tool
here.
So
what
I
can
do
is
since
the
handbook
you
know
it
lives
in
a
very
specific
folder.
We
can
just
you
know,
just
look
for
anything
that
has
handbook
slash
handbook,
slash
in
the
url,
and
so
this
is
just
for
this
week.
Let's
expand
it
out
and
look
at
say
may
is
a
month.
B
All
right,
so
we
can
see
that
for
the
handbook
we
had,
you
know
301
000,
page
views,
223
of
those
were
unique.
I
can
tell
you
this
spike
right
here.
I
made
a
note
of
this
in
the
tool
here
we
had
a
temporary
spike
in
page
views
for
about
four
hours.
One
day
when
there
was
a
problem
with
some
redirects
on
the
about.getlab.com
site.
I
was
constantly
refreshing
the
page
and
so
page
views
went
up
during
that.
B
That's
kind
of
a
rare
thing,
though
so
anyway
time
on
page
really
useful
for
the
handbook,
because
it
tells
you
if
somebody's
engaging
with
the
content,
are
they
hitting
that
page
and
you
know
reading
through?
Are
they
hitting
that
page
and
bouncing?
You
know?
We
see
it
to
give
you
an
idea
on
the
about
site.
It's
about
four
minutes
is
how
an
average
about
how
long
somebody
stays
on
a
page.
Docs
is
more
like
eight
or
nine.
B
So
docs
is
a
lot
more
like
you
know,
in-depth
coverage
like
you
know,
going
into
how
to
do
something,
and
so
people
are
like
really
staying
on
the
page,
going
through
all
the
steps
so
that
the
time
on
page
is
a
little
higher
there.
B
I
would
expect
the
handbook
overall
would
probably
be
a
little
bit
higher
than
about
on
average,
because
you
know
it's
used
so
much
internally
and
people
are
going
there
to
reference,
but
it
could
also
be
that
because
people
are
going
there
to
reference,
they
go
find
what
they
want
and
they're
bouncing
back
out.
So
some
interesting
things
we
could
dive
into
there
so
entrances.
This
is.
B
This
is
where
you
know
we
find
people
entering
the
site,
so
they're
entering
the
site
and
going
to
a
handbook
page
first,
so
I
personally
the
way
I
search
the
handbook
is,
I
use
google,
so
I
do
a
site,
search
where
I
say,
site
colon,
about.getlab.com
handbook
and
then
space
whatever
term.
I
need
to
find,
because
I
find
that
helps
me
find
what
I
want
a
lot
faster.
B
B
How
many
people
leave
the
site
from
one
of
these
pages
and
then
so
page
value?
It's
so
what
I
do
with
page
value
is
I
set
any
event
that
we
want
to
track
to
the
value
of
one
dollar
and
then
anytime.
Somebody
takes
that
event,
like
you
know,
doesn't
have
an
event
on
a
page.
Then
we
get
a
percentage
of
how
often
people
are
interacting
with
that
event
on
the
page,
so
this
is
kind
of
you
know
very
high
level.
B
What
you
can
see
in
google
analytics,
rather
than
just
you
know,
continue
to
guess
at
what
y'all
want
to
know.
Are
there
pages
you
want
to
look
at?
Are
there
specific
things
you'd
like
to
know
if
we
have
in
google
analytics
what
questions
can
I
answer
for
you.
A
Yeah
thanks
shane
one
one
would
be
to
start
in
the
sales
handbook,
so
handbook,
slash,
sales,
okay
and,
and
this
what
you're,
showing
here
like
is,
is
only
was
this
only
shane
has
access
to
this
or
how
would
like
our
team
get
access
to
this
information
when
we
think
in
the
future
about
something
that
we
want
to
take
a
look
at.
B
Yeah,
that's
great,
so
no!
This
is
not
something
only
I
have
access
to.
This
is
widely
available
on
the
team.
You
know
if
you
need
access
to
google
analytics,
you
know
you
can
put
in
your
access
request.
I
find
that
one
of
the
things
that's
challenging
for
with
google
analytics
is,
if
you're
not
using
it
constantly,
it's
really
easy
to
pull
up
a
report
one
time
and
then
not
be
able
to
find
it
in
the
future.
B
You
know
you've
got
that
number
and
you
know
what
the
number
is,
but
you
don't
know
how
to
get
back
to
that
number,
and
so
I
like
data
studio
for
that
reason.
So,
while
I'm
sharing
my
screen
I'll
share
data
studio-
and
this
is
something
everybody
if
you
have
a
gitlab.com
email
address-
you
have
access
to
all
of
these
reports
that
I'm
I've
got
listed
here.
So
let's
look
at
self-serve
metrics
here,
so
I
can
go
to
a
page
and
I
can
say
handbook
slide
show
that's
not
working,
of
course.
B
Well,
when
it
works,
you
can
go
here
and
you
can
type
in
handbook
sales,
and
it
will
tell
you,
you
know,
only
give
you
the
urls
that
have
that
included.
So
you
can
deselect
all
these
urls
and
you
can
say,
slash
handbook,
and
then
you
can
select
all
these.
B
And
now,
instead
of
looking
at
you
know
the
stat
the
sites
across
the
the
domain
you're,
looking
at
just
these
pages
for
this
time
period,
obviously
there's
something
I
need
to
do
to
fix
this.
These
are
kind
of
mvc,
so
until
somebody
says
hey
shane,
this
is
broken.
I
don't
know
it's
broken.
So
if
you
find
something
broken,
please
let
me
know
I'll
add
a
link
to
this
in
the
agenda
as
well.
B
A
A
D
Yeah
I'll,
if
I
can
I'll
piggyback
off
that
david,
I
think
what
you
said
is
spot.
On
the
other
example,
I'd
give
of
what
you
outlined
is
is
wow.
This
page
is
getting
a
ton
of
traffic.
Let's
actually
spend
a
little
bit
more
time,
making
sure
that
people
are
getting
the
best
experience
here.
So
let's
say
you're
talking,
you
have
a
page
about
pen
sales
and
why
clicky
pens
are
better
than
screw
pens
like
maybe
the
traffic
on
it's
so
great.
C
E
E
What's
the
content
like
getting
the
most
traffic
to
david's
point,
and
then
we
can
basically
like
look
at
how
those
pieces
are
laid
out
like
what's
the
what's,
the
format
of
those
like
what's
working
well
and
then
go
ahead
and
like
use
that
as
like
kind
of
a
baseline,
so
reiterating
didn't
really
say
anything
new
there,
but
just
kind
of
thinking
out
loud
and
reiterating
what
david
and
emily
said.
D
I
actually
have
a
question
for
shane,
so
let's
say
someone
lands
on
the
slash
sales
page.
I
know
you
talked
about
entrance
points,
but
is
there
a
way
to
figure
out
what
was
the
page
that
brought
you
to
that
page
specifically,.
B
B
There
are
some
like
behavior
flow
visualizations
in
google,
analytics
that
a
lot
of
marketers
like,
but
I
don't
find
them
to
be
incredibly
useful
because
the
data
there
is
often
sampled
and
not
really,
it
gives
you
a
good
visualization,
but
it
doesn't
really
give
you
a
sufficient
depth
to
understand
where
people
are
coming
from
so
sharing
my
screen
again,
I
will
just
show
what
this
looks
like
for
the
page,
we're
on
now
that
what
we're
looking
at
so
we
can
add
a
secondary
dimension
to
say
previous
page
path,.
B
And
so
yeah,
so
you
can
see
here,
like
you
know
most
the
highest,
you
know
previous
page
is
an
entrance
for
the
sales
main
sales
page
in
the
handbook
I
mean
you
can
see.
You
know
some
something's
happening
here
where
the
page
is
getting
reloaded
and
that's
why
we
have
the
previous
page
path
matches
the
current
page
that
you
know
the
people
are
on
the
business.
Ops
data
team
kpi
index
hit
sales
from
there.
B
You
start
off
in
the
handbook
index
page
command
of
message,
field
operation,
and
then
you
know
so
we
can.
Even
you
know,
enrich
this
further.
So
you
know
hey
the
entrance
data
is
not
really
something
I
care
about.
I
want
to
see
pages
that
people
are
on,
so
we
can
actually
exclude
that
we
can
say.
B
B
B
B
So
this
is
a
little
a
little
messy
because
we're
looking
at
all
the
pages
that
are
handbook
sales,
so
we
can
click
in
and
we
can
go
to
say
just
the
sales
index
page
and
we
can
look
at
previous
path
just
for
that
page.
So
let's
do
that
same
thing
again
on
previous
page
path
and
then
we
will
hit
advanced,
add
dimensions.
Previous
page
exclude.
B
A
Well,
you
provided
the
awesome
intro
music
before
so.
You
know
you
already
set
the
bar
high.
B
A
B
D
D
My
guess,
if
is
that
that's
going
to
change
now
that
the
kpis
aren't
on
the
sales
like
the
slash
sales
page
anymore,
it
would
be
interesting
to
see
if
that
drops
over
time,
and
then
that
search
seems
to
be
kind
of
the
number
five
way
that
people
land
there,
which
is
interesting
anything
jump
out
to
you,
david
or
monica
or
kelly,
or
michelle.
A
I'm
also
surprised
about
the
the
sal.
You
know
job
family
link
commanding
the
message
yeah
near
and
dear
to
my
our
hearts.
So.
C
D
I
wonder
if
what
do
you
think
about?
I
wonder
if
one
of
the
actions
you
could
take
with
this
would
be
to
look
at
that
command
of
the
message
page
and
see
what
links
are
sending
people
back
to
sales,
because
you
know
we
without
you
know,
click
tracking.
We
might
not
know
what
links
are
sending
people
back
to
the
sales
page,
but
it's
probably
worth
going
through
that
page,
seeing
what
people
might
be
going
back
to
that
sales
page
for
and
seeing
if
that's
information
that
should
be
on
that
command
of
the
message
page.
A
E
I'm
also
trying
to
so
so
I'm
grappling
sorry,
sorry,
shane,
I'm
kind
of
grappling
with
two
things.
So
one
thing
I
sorry
I'm
trying
to
figure
out
how
to
like.
E
So
I
think
the
sales
hand
like
the
sales
home
page,
is
super
long
and
in
talking
to
melinda
and
she's
the
dri
on
this,
I'm
you're
just
kind
of
getting
it
secondhand,
but
in
initial
conversations
with
her
and
thinking
about
how
she
was
going
to
approach
kind
of
refactoring
that
home
page,
we
talked
about
the
fact
that,
like
it's
just
super
long
like
there's
a
lot
of
information,
there's
probably
there's
definitely
a
need
to
break
out
that
home
page
into
sub
pages
and
have
like
a
cleaner
homepage
and
almost
like
directory.
E
And
so
when
you
think
about
like
that
use
case.
What
like
what
comes
to
mind
for
me,
is
like
looking
through.
Okay,
all
the
links
on
the
home,
page
and
figuring
out
like
what
are
people
engaging
with
the
most.
Is
that
like,
where
you
would
kind
of
start
to
figure
out?
I
guess
like
what
content
on
the
homepage
people
are
going
to,
or
I'm
not
really
articulating
myself
that
well,
but
I'm
trying
to
kind
of
think
out
loud
while
thinking
it's
really
how
this
data
can
help
us.
B
Well,
I
think,
there's
another
marketing
tool
used
that
can
be
helpful
with
this
and
that's
hot
jar,
which
is
basically
what
it
does
is
it
can
record
sessions.
It
can
also
do
click
tracking.
So,
like
you
know,
heat
mapping,
a
page
to
say,
like
hey,
you
know
people
are
scrolling
down.
They
are
you
know,
they're
clicking
on
these
links,
those
kind
of
things
you
know
like
I
can
tell
you,
like
you
know
some
of
the
things
you
do.
That
too
is
like
you
know.
B
Pages
are
valuable,
but
you
kind
of
want
to
see
what's
secondary
in
value
like
you
know,
pages
that
maybe
need
to
be
highlighted
in
different
places
or
something
like
that
you
can
exclude.
You
know
certain.
You
know
parts
of
the
page
from
your
test,
so,
for
example
like
when
I
test
anything
with
nav
like
if
I
want
to
see
you
know
like
what's
going
on
with
the
nav,
I
have
to
exclude
sign
in
and
register
well,
not
really
register,
but
definitely
sign
in
because
sign
in
is
like
always
like
97
of
the
activity.
B
But
if
I
exclude
that,
then
the
other
things
become
way
more
visible.
So
that's
a
tool
that
we
could,
you
know,
talk
about
finding
a
way
to
implement
for
handbook
testing,
and
we
haven't
done
that
to
this
point,
but
that
would
definitely
give
you
some
of
that.
You
know
more
page
depth
as
far
as
you
know,
what's
happening
with
certain
links.
How
deep
into
the
page
are
people
going
on
average?
You
know
those
kind
of
questions
you
know
we
could.
B
We
could
set
up
link
tracking
in
google
analytics,
but
that
would
be
a
really
kind
of
heavy
lift,
not
lift
but
like
it
would
be
a
really
heavy
solution,
because
now
we're
creating
events
for
every
time.
Somebody
clicks
a
link
and
that'll
be
a
lot.
E
No,
that
makes
sense-
and
I
was
going
to
the
my
second
question
was
going
to
be
you
know,
is,
is
there
value
on
the
google
analytics
side?
Is?
Is
that
kind
of
time
on
page
metric
like
a
good
place
to
to
look
out
for
some
insights,
or
is
that
am
I
kind
of
hearing
like
hot
jar
might
be
a
better
place
like
holistically
to
to
look
at?
You
know,
like
you,
said,
behaviors
on
the
pages
and
then
like
how
people
are
are
yeah,
I'm
I'm
david,
I'm
gonna
stop
mid-sentence
like
we
talked
about
earlier.
B
So
I
would
say
that
time
on
page
is
a
great
metrics
to
kind
of
group
pages
together.
You
can
say
like
okay,
so
based
on
what
we're
seeing
here
like
this
is
above
average,
so
these
are
pages
that
are
outperforming.
What
are
we
doing
here?
That
we
can?
You
know,
do
in
other
places,
I
would
say
hot
jar
is
a
lot
more
for,
like
you
know
you,
you
have
specific
questions
about
a
specific
page,
whereas,
like
you
know,
google
analytics
is
really
more
like
groups
of
pages.
B
What
can
we
identify
from
these
different
groups
of
pages
and
how
we
can
use
this
data
to
help
us
improve
those
other
pages,
because
I
will
tell
you,
like
you
know,
remember
how
we
were
saying.
The
the
handbook
in
general.
The
average
time
on
page
is
like
a
little
over
four
minutes
like
for
the
sales
page.
It's
like
5
15,
which
I
just
noticed.
While
we
were,
you
know
having
this
conversation,
so
you
know
on
average,
people
are
spending
more
time
in
the
sales
part
of
the
handbook.
B
There
are
other
places,
but
even
there
you
can
see.
Like
you
know,
process
version
check
right.
The
number
two
page
people
are
there:
six
and
a
half
minutes.
We
can,
you
know,
sort
by
this,
so
we
can
see
you
know
longest
pages
and
we
can.
You
know
refine
that.
But
you
know
like
territories
right
like
people
are
spending
12
minutes
12
and
a
half
minutes
on
the
territories
page,
like
you
know,
like.
B
Yeah,
on
average,
let's
add
a
2
000,
what
2191
unique
page
views
right
so,
like
you
know,
that's
you
know
a
lot
of
time
on
that
page
now.
People
need
to
be
leaving
the
tab
open
right.
A
B
One
person
can
leave
the
tab
open
that
raises
the
average,
but
that's
really
high
for
that
number
of
page
views
and
that's
really
the
the
biggest
outlier
I'm
seeing
right
now.
So
that's
interesting.
E
Yeah
and
even
if
they're
leaving
the
top
open,
I
mean
that
still
tells
us
like
it's
a
resource
page
right.
So
even
you
know
it
still
means
something.
Even
if
it's
skewed
a
little
bit,
I'm
probably
guilty
of
leaving.
I
have
like
five
handbook
page
tabs
open
as
we
speak
that
have
probably
been
open
for,
like
three
weeks.
A
Is
there
can
you
subscribe
to
a
report
that
just
gets
generated
on
some
kind
of
regular
cadence.
B
So
google
analytics
has
a
customization
area
where
you
can
create
dashboards
and
reports
there
and
then
have
those
sent
out
on
a
you
know
on
a
regular
basis.
It
can
be
weekly
daily.
Whatever
you
need,
so
it's
possible
yeah,
it's
definitely
there.
I
don't
use
it
a
lot
like
I
said
I
feel
like
the
reporting.
The
customizations
in
google
analytics
are
just
not
as
robust
as
you
can
get
in
data
studio.
B
Data
studio
is
a
lot
more
flexible
and
what
can
you
you
can
report
and
and
how
it
can
be
visualized
and
those
kind
of
things,
so
data
studio
is
my
preference
but
yeah
you
can
hold
on
I've.
Never
looked
at
that.
Can
you
okay?
So,
with
data
studio,
you
can
schedule
email
delivery
with
that
as
well.
So
that's
an
option
with
that
tool
which
would
be
good.
A
Yeah,
I
know
we're
almost
the
time
I
mean
for
me.
I
think
there
there
are
some
questions
about
just
what's
available
those
kind
of
things,
I'm
always
in
the
opinion
like.
Let's
not
look
at
data
just
for
data's
sake.
The
biggest
thing
is
like
if
you've
got
something
where
there's
some
kind
of
actionable
insight.
That
or
a
hypothesis
that
you
have
that's
gonna
inform
some
other
action.
A
Maybe
there
is
like
coming
up
with
hey,
I'm
really
wondering
about
user
behavior
data.
What
is
what
can
google
analytics
or
data
studio
or
whatever
tell
us
for
there
so
really
be
targeted
with
the
insights
that
we're
trying
to
gain
but
yeah?
I
I
discourage
us
from
just
trying
to
go.
Look
at
all
the
data,
that's
there,
because
that
you
probably
spend
all
day.
B
Yeah,
you
definitely
want
to
start
with
a
hypothesis,
like
you
know,
people
that
are
spending
more
time
on
average
are
there
for
this
reason,
and
based
on
that,
we
see
this
trend
and
based
on
that
trend,
we
want
to
analyze
these
pages.
You
know,
I
agree
with
you.
I
don't
I
don't
like
to
just
say
like
hey.
This
is
great
that
this
page
is
doing
this
like,
let's
you
know,
do
everything
like
we
do
on
this
page,
like
that's,
not
really
the
best
way
to
use
what
you
learned
from
this
data.