►
Description
A conversation between Sam Awezec, Senior PM for Growth: Conversion + Danielle Morrill, Senior Director of Growth Marketing
A
B
This
dashboard
shows
us
for
the
gitlab
comm
trials,
the
conversion
rates
of
people
that
view
that
trial
form
and
submit
it
and
then
also
get
into
it
in
a
minute,
but
also
the
source,
the
the
locations
that
people
are
coming
from,
the
way
that
we're
doing
that
is
using
custom,
URL
parameters.
So
we
can
tell
where
people
are
coming,
what
CTAs
people
are
coming
from
in
the
product
and
then
we
can
talk
about
this
later
on,
but
we
can
also
add
that
to
the
website
as
well,
so
we
can
pull
it
all.
B
The
way
through
to
revenue
is
the
ideal
scenario
here.
So
what
we're
looking
at
here
is
views
to
the
first
trial
form
to
submitting
the
second
one.
It's
not
gonna
add
a
link
up
here.
It's
not
but
the
two
four
two
page
form
for
signing
up
for
a
SAS
trial.
The
first
one
is
the
whatever
it
is
8
questions
that
you
have
to
submit,
and
then
the
second
step
is:
where
do
you
want
your
trial?
B
B
We've
made
it
easier
so
that
the
group
URL
doesn't
error
out
if
the
URL
path
has
already
taken
and
then
the
big
thing
that
we
did
is
for
we
check
to
see
if
you're,
an
existing
user
or
not,
and
we
change
the
Skip
trial
logic.
So
if
you're
a
free
user
there.
Sorry,
if
you're,
not
a
user
of
gitlab,
the
CTA
at
the
very
bottom
says
skip
trial,
continue
with
free
account
and
we've
switched
this
so
that
if
you're
already
a
user
of
gitlab,
it
just
says
go
back
to
my
account.
B
So
we
removed
that
that
that
big
call-to-action
to
say,
like
oh,
it's,
free,
free,
free
and
what
we've
done
is
we've
drastically
reduced
that
skip
trial
rate
for
the
sash
trials.
By
doing
that,
so
this
is
stuff
that
we're
constantly
looking
at
and
then
we
can
see
on
the
second
form
here,
specifically
the
submission
rates
actually
really
high.
So
we
don't
lose
actually
that
many
people
on
this
page,
which
is
a
good
thing.
A
A
B
Let
me
I'll
scroll
down
and
I'll
show
you,
so
this
is
just
to
like
run
through
them.
This
is
viewing
the
first
trial
form
to
skipping
the
trial,
which
is
that
at
CTA
that
where
we
change
the
logic
for
existing
users
and
now
we're
got
it
down
to
whatever
this
is
17%,
and
then
this
is
for
people
that
view
that
second
form,
which
is
really
like.
Where
do
you
want
your
trial
and
the
completion
rates
right
in
the
ABS,
which
is
pretty
good?
B
A
B
B
B
B
Referring
yeah,
referring
is
I'll
get
to
that
in
a
second,
it's
a
little
bit
tough,
because
we
don't
we
didn't.
We
could
tell
a
little
bit
about
the
referring
URL,
but
there's
a
lot
of
like
pass-through
URL.
So
a
lot
of
times,
they're,
referring
URL,
will
just
be
the
previous
page
in
the
trial
process,
and
we
can't
see
you
know
five
URLs,
but
before
because
we're
not
tracking
user
ID.
B
A
A
B
A
B
B
Yeah
totally
now
this
shows
us
the
conversion
rate
by
cohort.
So
this
is
each
week
that
people
sign
up
for
trials,
excuse
me
and
then
how
many
days
it
takes
for
them
to
convert.
So
we
can
see
the
vast
majority
of
our
conversions
are
coming
right
at
the
end
of
the
trial.
So
it's
that
twenty
the
thirty
day
and
then
anything
this
long
tail.
This
isn't
saying
that
their
trial
was
extended.
This
long,
it
was
just
that
some
people
upgraded
this
late
after
their
trial
right
now.
B
B
B
It's
telling
us
for
specifically
for
trial
skips
where
they're
coming
from
so
this
isn't
the
best.
It
tells
us
they're
coming
from
the
previous
page.
But
here
let
me
show
you
so
for
dot-com.
We
just
need
to
add
some
JavaScript
to
the
page,
to
the
trial
source
page
or
that
trial,
picker
page,
where
you
pick
SAS
or
self-hosted,
and
then
we'll
be
able
to
pass
through
any
kind
of
UTM
parameters,
but
at
least
a
custom.
B
One
and
I
can
show
you
how
it's
structured,
but
just
to
show
you
in
app
I
can
see
all
the
CTA's
that
people
are
coming
from
to
start
in
app.com
trials,
and
what
we
can
actually
see
here
is
the
vast
majority
are
coming
from
this
one.
That's
called
the
gold
call-out,
which
is
just
this
kind
of
banner,
that
is
to
start
a
trial.
B
No,
it's
actually
the
one
it's
on
the
parent
of
the
its.
What
is
it
the
pair
of
the
project,
the
project
overview
page
and
then
specifically,
you
can
see
within
this
next
chart
here-
shows
us
of
these
gold
call-out
clicks.
The
66%
are
coming
from
this
specific
URL
of
get
lab.
Comm
backslash.
You
only
reach
this
specific
URL
when
you
first
sign
up
for
get
lab.
That
is
you
the
very
first
page
you
land
on,
and
there
is
a
trial
banner
on
that
page.
So
what
we're
gonna
actually
test
in
our
backlog?
B
I,
don't
know,
then
the
next
few
milestones
is.
This
clearly
shows
that
the
vast
majority
are
trials
are
actually
coming
from
brand
new
users
and
signed
up
for
free
and
then
selected
a
trial,
so
we're
actually
going
to
add
the
start.
The
trial
signup
process
in
as
an
experiment
into
the
free
user
signup
as
an
option
so
will
be
required,
but
we'll
ask
them
during
for
user
signup.
A
Okay,
that's
really
useful
I
mean
it
supports
the
premise
we're
operating
on,
which
is
that
if
we
simply
grow
new
user
traffic
to
get
lab
comm
like
oh,
we
are
able
to
hit
most
of
our
other
numbers.
Yep,
there's
a
pretty
predictable
path
there.
It's
so
like
this
seems
to
say
that's
also
they
the
power
lies
there
as
well
for
you,
when
you
look
at
this
yeah.
B
And
then
what
this?
This
is
actually
what
I
was
referencing
before,
but
but
for
tracking
sources
from
about
Duquette
lab.
The
vast
majority
are
just
coming
from
that
the
free
trial
picker
page,
but
we
can
add
some
JavaScript
to
this
page
and
then
you
could
add
UTM.
You
could
pass
the
UTM
parameter
into
the
like
that.
A
A
B
B
The
way
that
we
can
pass
this
value
is
we
have
JavaScript
on
your
trial,
picker
page
that
essentially
looks
at
your
the
URL,
which
contains
your
your
Google,
Analytics
tracking
and
ideally,
some
sort
of
CTA
reference,
and
all
we
do
is
copy
that
Google
Analytics
over
to
our
GL
n
source
and
add
it
to
the
HR
f2
for
the
SAS
trial
button
and
when
the
person
clicks
that
they
go
into
the
SAS
trial,
signup
flow.
And
then
this
report
starts
distributing
specifically,
which
CTAs
they're
coming
from
based
off
of
your
tracking
awesome.
A
B
A
B
So
that
the
idea
is
ideally
I
want
to
get
to
a
point
where
I
can
say
here
all
the
CTA's
that
drive
the
most
value
to
trials
and
to
direct
revenue
for
get
them,
and
then
we
can
work
together
and
iterate
on
which
ones
are
performing
the
best
and
what
are
common
traits
in
those
and
maybe
the
ones
that
aren't
performing
the
best.
Do
we
get
rid
of
them
or
do
we
try
and
work
together
on
cycles
on
how
we
can
improve
them
if
they're
not
converting?
B
Well,
so
I
want
to
be
able
to
get
to
a
point
where
we
can
actually
have
a
dollar
value
for
these
CTAs
so
that
we
can
predict
future
revenue
by
saying,
like,
oh,
you
know,
Danielle's
team
did
a
great
job.
They
increase
traffic
to
this
CTA
by
X
percent
and
within
90
days,
based
off
our
historical
data.
That's
gonna
generate
the
business-y
amount
of
ICB
funny.
A
You
mention
that
because
I'm
literally
kind
of
tasked
with
building
a
similar
view
from
a
budget
perspective,
so
I
know
that
we
have
probably
a
struggle
which
is
we
don't
have
a
lot
historical,
so
we're
gonna
need
to
get
the
trip
going,
but
obviously
that's
that
just
increases
my
sense
of
urgency
like
hey.
What
do
I
need
to
do
to
support
you
and
getting
these
implemented,
and
we
do
have
people
and
our
don't
do
that
audit
and
go
and
make
those
changes.
B
A
B
And
I
think
the
probably
the
best
way
to
go
about
it
too
is,
and
we
can
work
on
this
together
and
I'm,
not
a
Google
Analytics
expert
by
any
means.
But
if
we
know
the
the
source
traffic
to
that
trial
picker
page
and
we
can
just
go
top
down
and
pick
the
biggest
sources
and
just
work
our
way
down
and
get
the
vast
majority
of
traffic
probably
pretty
quickly
and
then
work
through
all
the
outliers
over
time.
Yeah.
A
A
B
A
I
will
I'm
gonna
post
this
on
unfiltered
if
it's
cool
with
you
and
I'm
gonna,
ask
him
to
just
watch
this
video
because
I
think,
based
on
what
he
and
I
talked
about
this
morning,
he'll
probably
be
like
sweet,
okay,
cool
and
I.
Don't
need
to
solve
this
problem
and
he'll
get
pumped
about
getting
these
CTAs
wired
up.
So
this
is
a
win
for
everybody.
Yeah.