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From YouTube: Marketing dataStudio training from Empirical Path
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A
Hey
everybody
shane
rice
here
on
the
inbound
marketing
team
and
today
we're
having
a
data
studio,
training
session
with
charlene
baker
from
empirical
path,
and
so
having
said
all
that,
I'm
gonna
pass
it
over
charlene
and
let
her
take
away
the
training
thanks.
B
Thanks
very
much
shane
so
today
I
think
we'll
use
your
about
dashboard
as
a
model
that
we
can
use
to
go
over
some
of
the
features
in
data
studio.
B
Normally
when
I'm
working
through
a
dashboard
redesign
or
planning,
I'm
thinking
about
the
business
objectives
and
the
kpis
and
who
the
audience
is
for
the
dashboard.
So
if
you
want
to
just
give
me
a
quick
background
of
who,
you
would
say,
is
your
audience
what
their
business
objectives
are
in
sort
of
a
higher
level
for
the
website
and
some
of
the
business
questions
that
they
try
to
answer
by
coming
to
this
dashboard.
A
Yeah
sure
so
I'll
take
the
first
run
at
this.
We're
looking
at
a
self-serve
serve
dashboard
for
pages
on
about.getlab.com,
and
so
for
the
most
part,
when
people
use
this
they're
looking
to
see.
Okay
are
people
visiting
this
page?
How
frequently
are
they
visiting
this
page?
Can
we
learn
anything
from
their
interactions
on
this
page?
Do
they,
you
know,
leave
the
site
here.
Do
they
continue
on
to
a
next
step?
If
it's,
you
know
page
with
a
form
on
it,
are
they
filling
out
the
form
you
know?
A
Are
they
you
know
moving
forward
in
our
kind
of
you
know,
marketing
motions
or
are
they
hitting
a
roadblock
here?
Those
are
the
kind
of
questions
we
typically
look
to
answer
with
this
one.
B
B
So
here
we
are
in
data
studio
at
the
self-serve
about
dashboard,
so
I'm
in
edit
mode
and
right
now
you
can
see
here
the
navigation
we've
got.
You
know
our
five
live
pages,
one
hidden,
so
I'm
on
the
first
one.
B
So
one
of
the
things
I'm
thinking
of
for
in
terms
of
self-service
for
people
that
are
trying
to
get
an
understanding
of
are
people
visiting
how
frequent
frequently
I
I
personally
would
love
to
see
sort
of
like
what
parts
of
the
website
are
they
using
and
what
sources
are
they
coming
from
and-
and
I
think
that
that's
what
we
have
here-
but
I'm
wondering
if
there
is
a
way
to
do
it
in
a
slightly
more
higher
level,
because
here
we've
got
pages,
but
could
we
maybe
give
them
first
sections?
B
B
Two
is
what
you
see
after
your
first
slash,
so
I'm
just
gonna
throw
that
in
here
instead
on
instead
of
page-
and
this
is
what
we
get
obviously
slash-
index.html
is
your
home
page
and
then
everything
else
is
each
of
the
sections
and
how
many
unique
pages
you
have
within
each
of
those
sections
now.
Would
your
audience
be
interested
in
looking
at
it?
This
way.
A
Yeah,
I
think
so
I
think
it's
a
first
step.
I
think,
if
we,
you
know,
you
know,
could
some
way
enable
like
a
drill
down.
I
think
that
would
be
helpful
too.
B
Great,
so
I'm
just
gonna
play
around
with
this
a
little
bit.
So
let's
say
we
wanted
to
look
at
this
in
a
more
visual
fashion.
I'm
just
gonna
move
a
few
things
around.
B
B
Now
you'd
like
to
to
see
this,
the
ability
to
drill
down
I'm
taking
a
copy
of
it.
So
I
highlighted
that
chart-
and
I
just
did
a
control
c
and
control
v
to
paste.
It.
B
B
Okay,
so
we
talked
about
interactivity
and
allowing
the
user
to
sort
of
choose
what
they'd
like
to
look
at.
So
in
order
to
do
that,
we
go
back
to
the
first
chart
that
we
created
scroll
all
the
way
down
and
you'll
see
a
section
called
interactions
here.
If
you
click
this
check
box
apply
filter,
that's
going
to
say
that
anytime,
that
I
interact
with
this
chart,
it's
going
to
apply
a
filter
to
the
rest
of
the
dashboard,
so
it
would
be
the
same
as
using
a
filter
like
you
see
at
the
top.
B
B
B
So
that's
the
chart
we
have
here
this
one
is
in
a
time
series
and
so
tell
me:
is
it
important
for
you
to
see
on
a
daily
basis
how
it
ebbs
and
flows
with
each
source.
A
Well,
I
was
holding
down
my
space
bar
and
it
should
have
on
me
to
maybe
I
guess
it
didn't.
So
what
we
typically
look
at
here
is,
I
want
to
see
weekly
trends
like.
Are
we
dipping
somewhere?
Are
we
spiking
somewhere,
so
it
doesn't
have
to
be
daily
as
much,
but
I
think
you
know
it
is
helpful
to
kind
of
spot
those
trends.
B
Yeah
that
makes
total
sense
so
ignoring
the
fact
that
maybe
this
is
not
the
best
design
at
this
point,
I'm
just
going
to
scooch
a
few
things
over
I'll
I'll
show
you
a
couple
things
here
with
with
your
tables,
and
I
think
you've
already
done
that
with
some
of
the
other
dashboards
I've
seen.
But
you
can
change
the
wrapping,
so
we
can
wrap
the
header.
B
You
can
also
wrap
the
body
text
if
you
feel
like
you
do
want
to
condense
the
space
to
a
certain
degree
and
obviously,
if
you
scroll
through
here,
you
can
see
multiple,
multiple
rows
beyond
what
you
originally
see,
but
you
mentioned
week
by
week,
is
important
to
you.
So
I'm
gonna
throw
a
couple
things
in
here.
So
week
is
an
option
week
of
the
year.
B
B
So
a
couple
challenges
with
google
analytics
week
of
the
year
is
a
number,
so
that
may
be
a
little
bit
difficult
to
read.
You
may
be
okay
with
that.
I'm
going
to
change
this
to
ascending
the
other
one
that
you
can
use.
B
This
one
will
give
you
the
full
week
definition,
it's
just
long,
so
you
kind
of
have
to
decide
for
yourself.
If
you
feel
like
this
is
helpful
or
not.
We
did
talk
also
about
drill
down,
so
I'll
sort
of
go
into
that
in
a
moment
here.
So
the
one
thing
I
see
with
this
chart
is
it's
a
little
bit.
B
B
If
I
was
somebody
that
was
really
focused
on
email,
I'd
have
a
hard
time
really
understanding
what's
going
on
here
so
again,
sometimes
splitting
it
out
is
the
way
to
go.
I'm
gonna
make
this
one
smaller
and
I'm
just
gonna
say:
let's
take
out
medium
from
this
one,
and
let's
change
this
back
to
a
time.
B
B
B
B
B
Obviously,
here
drilling
up
to
month
or
year
is
not
super
helpful,
because
we
have
a
very
short
time
frame
if
this
was
like
your
quarterly
report
or
your
yearly
report,
and
you
wanted
to
start
looking
at
it
by
month
or
by
quarter.
That
would
work
here,
but
in
this
sense,
on
a
one
month
is
probably
not
going
to
be
a
great
scenario
for
you,
but
that's
how
the
drill
down
works
by
putting
in
those
optional
dimensions,
it
will
allow
you
to
drill
up
and
down
using
the
arrows.
B
There
is
a
way
to
make
sure
that
the
the
drill
down
is
also
stays
there,
so
that
you
can
see
it.
B
Is
I'll
get
back
to
you
on
that
one,
but
we
wanted
to
connect
this
with
the
medium
and
the
medium
also
allows
for
drill
down.
So
what
we
could
do
is
add
another
chart.
B
I
know
people
don't
love
pie
charts,
sometimes
so
I'm
not
sure
how
you
guys
feel
over
at
git
lab,
but
I'm
gonna
throw
a
pie
chart
in
here
for
better
for
worse,
I
like
to
start
with
the
default
channel
grouping
because
that's
sort
of
your
highest
level
of
source
and
take
a
look
at
it
by
sessions.
B
A
B
B
B
B
Okay
september
30th,
we've
got
all
of
our
charts
updating,
so
we
just
see
what
happened
on
that
day.
Here
are
the
specific
pages
this
one
will
update.
So
we
see
what
the
sections
looked
like
that
day
and
then
we
see
the
traffic
where
the
traffic
came
from
that
day,
so
mainly
direct
followed
by
organic
search.
A
Yeah
it
it
chugs
along
on
some
of
these
filters
right.
B
Yeah,
that
is
one
of
the
challenging
things
depending
on
how
much
data
there
is
and
how
complicated
you
make
it.
Sometimes
it
is
a
little
slow
but
yeah.
So
here's
an
example:
we
we
went
from
the
default
channel
grouping
to
now
looking
at
the
same
data
but
by
source.
Instead,
if
you
wanted
to
drill
down
further,
then
we'd
be
looking
at
it
by
medium.
B
A
B
Yeah,
so
there
is
a
way
to
to
keep
this
menu
displaying
and
that's
what
I
was
trying
to
take
a
look
at
there's.
A
It
can
you
go
back
to
style
because
there's
one
at
the
bottom.
That
said
something
about
header
yeah
like
chart
header
on
hover.
B
Yeah,
that
is
it
okay,
yeah
the
it
doesn't
say
the
label.
The
label
is
only
obvious
on
when
you
hover,
but
I
have
done
it
so
that
you
can
emphasize
this
by
adding
some
background.
Maybe
a
label
to
help
the
user
out.
So
you
know
by
putting
something
like
that,
but
setting
it
sending
it
to
the
back,
and
maybe
you
know
changing
this
slightly
and
then
adding
a
label
in
some
way
that
to
say.
B
You
know
use
the
controls
to
you
know,
however,
that
language
works
for
your
company
to
say,
use
the
controls
to
drill
the
pie
chart
down
to
source
or
medium,
something
like
that.
Those
visual
those
cues
adding
the
labels
and
visually
highlighting
some
of
these
functions
will
help
the
user
a
lot,
especially
if
you
start
to
use
them
over
and
over
again
throughout
your
dashboards.
B
Maybe
you
even
add
a
you
know
a
star
or
some
sort
of
like
a
symbol
that
your
users
can
look
for
throughout
your
dashboards,
where
they
can
have
that
interactivity
and
that
symbol
remains
the
same
throughout
all
of
your
dashboards.
Then
they'll
start
to
recognize
that
and
say:
oh
yeah.
Here
we
go
here's
something
else
that
I
can
interact
with.
A
C
B
Okay,
I
I
am
going
to
just
try
something
else
here,
though,.
B
Depending
on
what
what
dimension,
I
I
like
to
sort
of
play
around
with
how
it's
displayed-
and
you
know,
to
sort
of
figure
out
based
on
the
interactivity,
what's
going
to
make
the
most
sense
for
helping
the
user
understand
how
things
are
happening
on
your
site
so
again,
like
you
may
as
you
think,
through
how
the
audience
is
going
to
use
this
and
wants
to
understand
it
is
if
you
are
looking
for
that.
Visual
of
you
know
how
does
email
change
over
time?
B
Well,
you
could
change.
You
could
change
this
one
to
add
back
a
dimension
for
a
channel
or
source,
but
you
could
also
add
interactivity
to
this
one.
So
I
could
apply
a
filter
here
and
this
one
and
say:
well:
I'm
really
focused
on
email.
B
All
right,
we
did
have
a
question
of
data
blending
come
up
and
I
was
saying
that
you
know,
depending
on
what
kind
of
source
you're
looking
for
to
blend
with,
would
depend
on
how
we
go
ahead
and
do
that.
But
there's
a
couple
things.
B
So
if
we
were
to
add
google
search
console
data,
I
don't
know
that
I
have
access
to
your
search
console
but
shane
you.
You
could
do
this
if,
if
you
wanted
to
add
it
now-
and
we
wanted
to
take
a
look
at
it,
but
to
add
that
it's
again
same
through
the
data
sources,
you
would
add
your
data
source
and
look
for
search
console.
B
A
B
The
other
blend
that
I
want
to
show
you
is
is
really
kind
of
neat.
You
know
like
let's
say
we
wanted
to
submits,
was
important
for
you
to
understand.
You
know
what
maybe
maybe
it's,
what
sources
of
traffic
are
are
producing
submits.
Maybe
it's.
What
page
are
producing
submits
but
submits,
is
captured
as
an
event.
So
we
can't
just
go
to
the
chart
and
say,
let
me
add,
submits
here
and
throw
it
in
as
a
metric.
B
There
is
a
way
to
do
that,
however,
and
the
way
you
can
do,
that
is
with
a
blend,
a
data
blend.
B
B
B
B
B
B
B
B
So
that's
one
way
of
blending
data.
It's
obviously
the
same
data
source
that
you're
blending,
but
it
allows
you
to
use
events
as
a
metric
on
some
of
your
charts
and
that's
one
of
the
things
that
I've
found
quite
necessary
in
a
lot
of
cases
with
google
analytics
data
shane.
Do
we
have
the
yes
search,
console
yeah?
Okay,
so
I'm
gonna
add
a
page,
I'm
just
gonna
move
it
up.
So
it's
sort
of
our
our
second
page.
C
B
Is
so
if
we
wanted
to
merge
the
two
I
there
will
be
a
complication
and
I'll
walk
through
that,
but
let's
say
we
wanted
to
do
the
same
thing:
we're
interested
in
understanding.
B
B
So,
let's
say
I'm
trying
to
understand
impressions
from
google
search,
console
clicks
and
what
ultimately
became
sessions,
and
I
wanted
to
show.
B
That
I'm
going
to
set
it
up
the
same
way
as
I
did
had
done
before.
First,
I'm
going
to
set
up
one
table
the
way
I
want
to
see
it
and
then
I'm
going
to
set
up
another
table,
and
now
I
I
often
will
copy
and
paste
just
to
save
myself
some
time.
B
Yeah,
I
think
we'll
need
the
other
one
I
or
I
can
think
through
another
thing,
you
know
what
how's
this
this
will
be
easier.
Let's
just
do
this.
Here's
a
different
one
device
category.
B
B
This
may
not
be
the
most
interesting
example,
but
nevertheless
I
I'm
not
100
sure
that
this
is
this.
One
is
gonna
work
because
of
the
the
capitalization,
but.
B
B
B
I
think
the
easiest
way
to
do
that
is
to
set
up
a
custom
field
in
one
of
the
data
sources
you
can
choose
which
one
you
modify.
Let's
say
we
wanted
to
modify
the
search
console.
One.
B
B
Okay
and
now
cross
our
fingers
and
hope
this
works,
so
we
have
to
go
back
into
our
blended
data
source
on
the
search
console.
B
B
One
for
for
the
search
console
data
you'll
often
see
the
landing
pages
data
from
search
console
where
you'll
want
to
take
a
look,
as
I
had
sort
of
touched
on
before
you'll
you'll,
maybe
be
interested
in
seeing
for
a
particular
page.
How
many
impressions
were
there
in
search
how
many
clicks
and
then,
on
the
second
side,
how
many
sessions
did
that
result
in
that
you
can
do
as
well
the
challenge
with
the
search
console
data
is
they
they
have
the
full
url.
B
So
you
will
need
to
modify
one
of
the
fields
either.
Your
google
analytics
one
by
creating
a
new
custom
field,
to
rewrite
your
google
analytics
urls
with
the
https
or
to
trim
the
one
in
search
console,
which
is
probably
the
easier
one
to
do,
and
there
are
so
many
functions
and
that
you
can
use
within
the
custom
fields
that
will
allow
you
to
do
this.
There's
a
good
resource
on
data
studio.
I
think
it's
called
data
studio
function
list.
B
I'm
here
all
the
time,
because
there,
once
you
start
trying
to
do
a
few
more
advanced
things
with
your
dashboards,
you're
you're
gonna
need
to
write
some
of
these
custom
functions
and
it's
it's
pretty
broad
in
terms
of
what
you
can
do
with
the
custom
fields.
B
I
want
to
make
sure
I
get
to
all
of
the
things
that
were
on
our
list
here,
this
one,
I'm
just
noting
at
the
bottom
here,
let's,
let's
take
a
look
at
that,
so
you
had
mentioned.
Is
there
a
way
to
show
different
metrics
on
a
field
on
a
on
a
chart
here?
So
this?
This
is
a
good
one.
We
can
use
this
time
series
chart
where
we're
displaying
sessions
and
we'll
we
click
into
it
again.
We're
looking
at
the
data
column-
and
here
it
says,
optional
metrics,
so
we
click
optional
metrics.
B
B
So
that's
the
optional
metrics
again
to
your
point
before
highlighting
it
in
some
way,
so
that
users
start
to
understand
when
it's
available,
like
maybe
it's
a
color
coding
system,
maybe
it's
a
symbol
to
say
click
here
to
see
optional
metrics,
but
that
can
be
very
helpful,
especially
when
you're
trying
to
diagnose.
Maybe
there
were
errors,
or
maybe
there
was
a
new
release
and
you're
trying
to
understand
why
the
balance
rate
was
so
high
or
why
you
had
such
an
incredibly
low
bounce
rate.
B
What
can
you
go
into
a
little
detail
about
what
you're
hoping
to
see
there
was
that
we're
trying
to
understand
if
there's
days
where
you
had
particularly
high
sessions,
for
example,.
B
C
So
basically,
I
was
interested
to
know
if
we
can
make
use
of
metric
based
filters,
because
I
often
had
the
experience
that
it
didn't
really
work,
but
I
was
trying
to
understand
how
it
works
in
the
latest
studio
if
we
want
to
filter
like
a
number
of
sessions
more
than
ten
thousand,
let's
say
how:
how
does
it
work
with
a
real
example?
C
B
Yeah,
that's
they
haven't
formally
had
a
lot
of
great
ways
to
do
that,
but
they
have
added
this
feature
in
that
you
can't
do
at
the
same
as
optional
metrics,
unfortunately,
but
I
can
take
optional,
metrics
off
and
add
something
on
called
metric
sliders.
B
So
although
I've
toggled
it
on
and
I'm
going
to
go
back
into
view
and
now,
instead
of
the
optional
metrics,
you've
got
this
toggle.
So
you
can
see
that
sessions
spans
anywhere
from
20
000
to
68
000
daily.
Let's
say
we
want
to
see
only
the
days
where
it
was
over
50
000.
B
C
B
Yeah,
I
think
I'll
have
to
do
a
little
testing
on
that
one
first,
but
I
can
show
you
a
couple
where
we
have
done
something
similar,
where
one
in
particular
we're
users
will
want
to
see.
B
Show
me
all
the
sessions
that
were
not
not
non-balanced
one
of
the
ways
to
do
that.
One
is
to
use
the
page
depth,
but
this
is
something
where
it
is
a
dimension
here.
B
B
B
So
I
can
see
if
there
is
the
ability
there
is
certainly
the
ability
to
filter
a
particular
chart
by
a
metric,
and
that
can
be
done
using
the
filters
down
here.
B
B
B
A
A
Got
about
a
minute
left,
so
I
guess
before
before
we
leave
I'd
like
to
ask
if
we
can,
if
there's
anything
we
didn't
cover
in
this
document,
if
we
can
just
go
through
and
maybe
offer
your
thoughts
on
the
asynchronously
after
the
call
and
then
for
vicki
and
nile.
If
you
have
any
additional
questions
out
of
today's
sessions,
if
you
can
add
them
there
and
then
I
think
what
we
might
do
internally
is
make
a
video
with
your
answers,
just
to
kind
of
make
sure
that
they're
published
on
our
unfiltered
page
as
well.
A
All
right
anybody
have
any
closing
questions
or
anything
like
that
before
we
end
well
that.
A
Yeah,
it
was
very
helpful.
Thank
you
charlene,
so
all
right
well,
thank
you
very
much
and
we
will
take
these
learn
the
things
you
taught
us
and
we
will
incorporate
that
into
what
we're
building
here.
I'm
really
excited
about
it.