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From YouTube: Walkthrough of GitLab blog dashboard (MVC2)
Description
Viki Juhasz (Data Analyst, Marketing Strategy and Performance) and Rebecca Dodd (Managing Editor, Inbound Marketing) go through the next iteration of our blog metrics dashboard.
A
B
Screen,
okay,
so
this
is
the
second
iteration
of
the
blog
dashboard.
The
first
iteration
was
just
to
gather
the
basic
data
and
kpis,
but
in
mvc2
there
are
some
other
metrics
added,
and
so
I'm
going
to
walk
you
through
the
dashboard
how
to
use
it.
Even
I
presented
this
in
the
previous
session,
so
we
have
a
complete
picture:
how
to
make
use
of
this
data.
B
B
This
is
at
the
moment,
from
last
year,.
A
Until
vicky
are
those
trial
submission
someone
submitting
a
free
trial
form
from
any
page
on
the
blog,
so
it
could
be
the
blog
home
page
or
any
blog
post.
Is
that
right.
B
Yeah,
that's
right,
so
this
is
based
on
event
tracking,
where
the
form
is
a
trial.
I
don't
remember
the
exact
name,
but
shane
writes
I'm
pretty
sure
he
knows
better.
I
can
have
a
look
at
this
as
well.
B
B
No
worries
and
it
will
be
fixed
back
because
I
just
removed
the
theater,
the
newsletter
sign
up,
which
is
from
the
blog
page
as
well.
We
can
track
that
and
some
not
important
kpis,
but
it's
nice
to
have
like
average
time
on
page
or
bounce
rate.
B
So,
as
we
all
know,
the
pages
always
have
a
high
bounce
rate,
which
is
normal,
and
the
other
new
things
here
is.
One
of
them
is
the
trend.
So
previously
we
had
two
lines
in
the
line
chart
which
was
the
current
year
performance
and
compared
to
the
previous
year.
So
now
this
is
changed
to
column,
charts
and
it's
showing
the
current
year's
month
performance
against
the
previous
year,
and
also
the
line
is
showing
the
percentage
changes
compared
to
the
previous
year.
B
So,
for
example,
here
in
january
we
can
see
now
it's
the
dashboard
is
okay.
Now
it's
working
so
here
we
can
see.
In
january,
we
have
240
k,
unique
page
views
against
the
previous
year,
which
is
like
19
percent,
almost
20
percent
less
so
this
year
we
are
performing
better
compared
to
the
last
year.
A
Great,
but
just
before
you
move
on
this
is
a
huge
improvement
on
the
one
before
I
think
vicky.
It
really
helps
to
visualize
what
we're
doing
and
whether
we're
succeeding-
and
I
also
think
like
having
the
month
by
month,
comparison
like
that
can
could
help
to
show
us
if
there's
like
a
seasonality
to
traffic
so
like
where
we
might
habitually
see
a
drop
in
traffic
over
the
the
holiday
season.
Stuff
like
that,
so
this
is.
This
is
great.
Thank
you.
B
And
there
is
this
other
chart
so
for
in
terms
of
blog
performance,
it's
nice
to
have
a
view
of
the
returning
versus
new
visitors.
So
are
the
returning
visitors
coming
back
for
more
content,
so
it
gives
us
a
good
indication
of
that.
So
this
is
just
an
overview.
How
the
trend
looks
like
in
terms
of
these
user
types
and
the
source
and
medium.
A
I'm
sorry
vicky,
I'm
sorry
to
interrupt
you
and
maybe
let's,
let's
just
pause
in
between
each
kind
of
element.
In
case
I
have
any
questions:
the
the
dates
on
the
blog
traffic
by
user
type.
It
goes
like
march
2020,
jan
2021
may
2020.
A
B
B
Okay
like
this
now
it
will
be
normal
and
the
other
new
feature
I
added
is
the
search
queries,
how
the
blog
pages
look
like
when
it
comes
to
the
serp.
There
is
a
detailed
page
on
this
dashboard,
I'm
going
to
cover
it
as
well,
but
before
that.
B
B
So,
for
instance,
this
shows
us
that
this
post
within
this
date
range
his
blog
post,
performed
really
good
in
terms
of
trial,
conversions
and
also
had
a
good
performance
in
terms
of
traffic.
So
when
we
want
to
find
the
best
performing
blog
posts
now,
we
can
also
consider
this
kpi,
which
is
quite
important.
A
Yeah
and
something
I
didn't
realize
vicky
until
you,
you
pointed
it
out
to
me
if
you
want
to
sort
by
any
of
those
other
metrics.
So
at
the
moment
I
think
it's
sorting
by
trial
submission.
But
if
you
want
to
look
at
the
top
performing
by
page
views,
you
can
just
click
on
the
words
and
it
will
change
the
like
what
it's
sorting
by
so
that's,
depending
on
on
what
you're
interested
in
or
optimizing
for
you
might
want
to
click
on
any
of
those
other
metrics.
B
B
So,
for
instance,
let
me
pick
one
like
this
one
git
flow,
so
this
blog
post
appeared
on
the
serp
based
on
the
git
flow
search
queries.
I
had
a
average
position,
9.8,
which
is
not
very
good.
That's
why
we
can
see
url
click
quite
low
less
than
one
percent.
A
So,
what's
interesting,
there
is
that
one
is
really
high
on
impressions.
So
does
that
just
mean
like
that
that
that
search
query
is
a
very
popular
one
and
because
it's
in
the
top
10
results,
people
will
see
the
page
with
with
the
the
search
results
which
includes
that.
But
maybe
this
is
telling
us.
We
need
to
change
the
title
and
like
description
of
that
post,
to
make
it
more
likely
that
people
would
click
on
it.
A
B
But
this
is
more
for
seo
optimization.
This
is
right,
yeah,
so
previously
the
average
position.
So
there
was
a
kind
of
data
modeling
exercise
done
in
the
back
end,
to
put
together
the
average
position
with
with
all
these
kpis
just
a
little
bit
of
background,
thanks
to
niall
who
helped
me
a
bit
with
that,
and
basically
we
can
also
look
at
these
search
queries
to
get
some
idea
like
when
it
comes
to
organic
social
posting.
We
can
also
use
this,
for
instance,.
B
And
there
is
also
a
report
that
will
put
together.
He
has
a
report
that
I
can
show
and
maybe
we
can
make
use
of
it
on
this
dashboard
as
well.
A
Yeah,
I
think
that'd
be
great.
It's
probably
going
to
take
some
time
for
the
people
using
it
to
just
explore
and
see
what
it
reveals,
but
I
think
the
we've
got
the
key
stuff
in
there
already,
and
this
seems
like
it
might
help
us
to
collaborate
better
with
social
when
we're
kind
of
proposing
things
to
them.
And
so,
if
that's,
if
that's
easy
enough
for
you
to
include,
then
please
go
ahead
and
do
it.
A
B
That's
easy,
yeah.
I
think
I
covered
everything
here
and
another
thing
is:
if
you
just
have
you,
you
don't
really
see
these
pages,
you
just
click
on
this
and
you
will
be
redirected
to
that.
A
I
have
I
have
some
questions
on
this,
this
page,
if,
if
it's
okay
for
me
to
to
jump
into
those,
so
I
was
curious
in
the
medium
and
source,
both
of
them
that
the
pink
one
is
others.
Do
you
know
what
falls
into
that
bucket.
A
I
am
also
meeting
with
my
old
next
week
in
case
this
is
more
more
his
area.
So
it's
all
good,
but
I
just
might
so.
My
understanding
is
the
none
and
the
direct.
You
know
the
blue
elements.
There,
though
that's
generally
people
clicking
directly
on
a
link
that
they
have
bookmarked
or
that
someone
has
shared
with
them
by
email
or
something.
So
it's
like
they're
typing
the
url
into
the
the
bar.
B
A
And
then
the
orange
ones
organic,
like
that's,
coming
up
in
in
search
results
and
then
the
others
are
pretty
self-explanatory,
but
I
was
just
like.
Oh,
I
don't
think
I've
seen
other
before
I
don't
know.
I
don't
know
where
that
falls.
B
I
can
have
a
quick
look
at
google
analytics
and
see
what
is
under
other,
but
it's
really
just
almost
invisible
here.
A
Yes,
yeah,
it's
a
very
small
small
portion
of
our
traffic
and
then
the
other
thing
I
just
wanted
to
this
isn't
a
question,
but
just
to
call
out
for
anyone
watching
this
video.
I
think
that
the
pages
per
session
is
a
new
kpi
that
you've
added
in
in
this
iteration.
B
A
Is
interesting
because
this
helps
us
to
see
which
which
posts
are
driving
the
most
kind
of
exploration
of
the
rest
of
the
site?
Would
those
the
pages
per
session
is
that
more
than
one
blog
post,
page
or
they're,
going
from
the
blog
post
to
anywhere
else
on
about
docketdub.com.
B
A
B
A
Yeah-
and
that
makes
sense-
I
guess-
for
the
release
post
to
be
right
at
the
top
there,
because
I
think
they
link
to
all
of
the
the
feature
pages
and
documentation
but
yeah,
so
that
that's
a
new
one
which
is
interesting
for
us
to
learn
from
as
well.
A
B
If
someone
would
like
to
explore
this
page,
maybe
important
to
highlight
that
if
you
click
on
any
of
the
mediums
or
sources,
this
is
filtering
this
table
and
and
the
source
and
all
the
the
other
way
around.
If
you
select
any
value
in
the
source,
it
will
filter
the
other
two
charts,
so
you
can
easily
see
like
okay,
I
want
to
see
the
top
performing
blog
post
coming
from
organic
and
then
you
can
easily
do
that
by
clicking
on
the
chart.
Maybe
that's
one
thing
I
would
highlight.
A
Yeah
for
sure,
and
so
you
can
do
it
on
the
source
side
as
well.
If
you
wanted
to
see
yeah
every
at
the
top
posts
coming
from
linkedin
or
or
any
of
those
other
referrals.
A
All
right:
okay,
well,
vicky
yeah!
Thank
you
so
much.
This
is
much
better
than
what
we
were
working
with
before,
which
was
kind
of
just
going
by
the
seat
of
my
pants
in
google
analytics.
So
this
is
a
huge
improvement.
Thank
you.
So
much
and
yeah
I'll
look
forward
to
the
next
iteration.