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Episode 9April 22, 2022
How to Launch a Marketplace | Ray Reddy, Founder of Ritual
About this episode
Launching is often thought of as a huge event. Lots of noise, lots of PR. One big bang. For Ray, it's just a series of many small experiments.
Ray realized that the number one value prop for a consumer was coverage: when a user opened the app, the majority of merchants that were walking distance needed to show up. So, he set up an experiment. He targeted a handful of office buildings and a dozen merchants, all located on the same block. He didn't need to onboard all the merchants in Toronto, just all the merchants on this one block.
If you're about to launch a consumer product or a marketplace, check out what Ray has to say.
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Follow the showTranscript
The full conversation.
Pablo (Host)
0:00
This
is
the
bonus
episode
with
Ray
from
Ritual.
Here,
we
talk
about
how
he
launched
his
marketplace.
Check
it
out.
Intro
0:06
Welcome
to
the
Product
Market
Fit
Show,
brought
to
you
by
Mistral,
a
seed
stage
firm
based
in
Canada.
I'm
Pablo,
I'm
a
founder
turned
VC
.
My
goal
is
to
help
early-stage
founders
like
you
find
product-market
fit.
How to Go To Market
Pablo (Host)
0:21
One
of
the
things
I'd
like
to
dive
on
a
little
bit
is
when
I
hear
the
story
of
Ritual,
I
heard
it
many
times,
what
always
struck
me
is
just
the
amount
of
thought
that
went
into
go
to
market.
And
you've
described
here
the
thesis
you
had,
and
you
described,
you
kind
of
set
up
the
experiment,
and
so
on.
That's
one
thing
I
see
missing
a
lot,
is
idea
side,
and
then
maybe
a
scaling
side,
and
this
entry
point
piece
of
how
you're
really
going
to
go
to
market
is
glossed
over.
It's
like,
"well,
we'll
put
up
ads
or
whatever."
What
led
you
to
go
so
deep,
and
have
so
much
thought
on
go
to
market?
How
do
you
almost...What's
your
advice,
especially
the
first
time
founders,
on
how
they
should
think
about
entry
point?
Just
the
philosophy
around
it.
Ray (Guest)
0:59
I
guess
my
main
advice
is
to
think
about
it.
I
think
that
t's
easy
to
not
think
about
it,
and
to
get
very
excited
about
things,
but
I'll
give
you
an
example.
Building
a
simple
spreadsheet
model
is
very
helpful,
for
most
people,
I
think
the
minimum
amount
of
work
you
should
do.
I'll
give
you
an
example
of
what
I
mean
when
I
say
the
minimum.
Marketplace,
where
you
have
two
customers,
for
example,
in
our
case,
you
should
be
able
to
reasonably
answer
the
question
"What
is
the
cost
of
acquiring
a
merchant?"
Do
that
now.
Are
you
going
to
hire
a
sales
person?
What
do
you
think
the
productivity
of
the
sales
person
is
going
to
be?
And
often
you'll
be
shocked
at
the
results,
and
you
build
that,
and
some
of
your
basic
assumptions
on,
"we
may
only
need
a
handful
of
sales
people."
Then
you're
like,
"oh
no."
If
you
apply
any
reasonable
sales
conversion
rates,
it
turns
out
that
you're
egregiously
wrong
on
some
things.
And
when
you
say
ads,
the
moment
you
take
one,
it's
actually
that
ads
is
a
bad
strategy,
but
just
take
it
one
level
deeper.
Here's
how
I
think
about
it.
Building
products
is
very
difficult.
It
requires
engineering.
You
are
committed
once
you
go
down
that
path.
My
advice
on
this
point
would
be,
the
thing
that
is
free
to
do
is
to
run
business
model
scenarios.
If
we,
in
the
sense
of,
you
change
variables
on
a
spreadsheet,
you
don't
have
to
deal
with
customer
support,
and
ad
creators,
and
brand,
you
don't
do
any
of
that.
You
just
literally
change
numbers,
and
you
can
get
a
sense
of
how
the
business
would
work.
Convince yourself your idea sucks
Speaker 2
2:25
For
us,
we
built
out
a
model.
We
said,
"what
would
the
operating
model
of
this
company
look
like?"
I
guess
my
advice
would
be,
build
a
model
to
try
to
convince
you
not
to
do
this.
Because
otherwise
you
have
only
happy
data
in
your
model.
Everything
is
more
optimistic.
And
I
would
say,
"what's
the
point
of
doing
that?"
The
way
that
we
viewed
it
is,
let's
save
ourselves
from
an
immense
amount
of
pain
and
torture
if
we
can
prove
upfront
that
this
is
not
a
good
idea.
So,
I
think
that
most
people
go
into
it
saying,
"I'm
going
to
do
this
to
further
convince
myself
that
this
is
a
good
idea."
I
guess
my
advice
would
be,
try
to
talk
yourself
off
using
a
model.
Because
by
the
way,
there's
opportunity
costs
to
pursuing
an
idea.
Ray (Guest)
3:07
It's
the
infinite
number
of
other
things
you
could
do
that
you're
not
doing.
So,
it
was
very
helpful
for
us
to
do
that.
And
shockingly,
many
of
the
variables
ended
up
being
close
to
the
few
ethical
values
we
made
up,
which
was
shocking.
Things
don't
tend
to
work
out
like
that.
But,
we
made
assumptions
for
example,
on
how
often
would
an
active
user
buy
with
us,
what
is
a
reasonable
margin
you
could
expect,
what
would
it
cost
to
acquire
a
customer,
think
the
payback
of
that
would
be,
is
that
even
reasonable.
It
kind
of
forced
us,
even
before
we
built
the
business,
we
had
a
rough
sense
of
how
would
our
team
be
organized
in
a
city,
what
they
need
to
do,
how
many
people
would
we
have.
And
you
just
start
to
think
about,
"do
you
actually
need
an
operations
person?"
and
like
"Oh,
okay,
that
actually
fundamentally
changes
the
P&L
of
a
city
if
you
need
to
do
it.
Is
there
an
option
for
us
to
not
do
it?
And
to
have,
blah,
blah,
blah."
And
so,
there's
just
a
lot
of...
you
can
think
to
go
to
market
in
quite
a
bit
of
detail.
The
thing
you
can't
test
before
you
build
a
product
is
consumer
reception.
There
are
certain
things
you
can
do
to
get
a
signal
around
it,
but
it's
pretty
hard
to
actually
test
it
without
actually
doing
something.
I
think
the
go-to-market
stuff
is
very
easy
to
work
through
CAC/LTV,
payback
models.
There's
so
much
data
online
on
funnel
conversion
of
ads
spend.
And
I
think
for
someone
who
respects
their
time,
it
is
a
very
prudent
thing
If you must, make it free
Ray (Guest)
4:38
to
do.
Pablo (Host)
4:38
Perfect.
So,
back
to
the
story,
maybe
my
first
question
is,
if
you
think
about
that
office
building,
how
did
you
convince
those
first...
because
you
have
that
chicken,
and
egg
problem.
How
did
you
convince
those
first
15
merchants
to
sign
up
and
deal
with
you
guys
?
Ray (Guest)
4:50
Just
make
it
free.
There
are
ways
of
doing
it.
And
so,
we
saw
it
as,
"let's
go
get
these
merchants
no
matter
what."
You
can
do
this
with
no
money
at
all.
But
sometimes
spending
a
little
bit
of
money,
your
time
is
also
money.
If
you
try,
it's
possible
to
do
it
with
no
capital,
but
that
sometimes,
in
a
strange
way,
that
is
actually
more
wasteful
resources.
For
example,
trying
to
convince
people
to
try
something
may
take
a
long
time,
but
if
you
just
say,
"can
I
buy
you
a
free
lunch?
"
you
tend
to
have
a
lot
of
people
interested
in
trying
it
out.
So,
spending
$10
on
a
$3,000
investment
to
sign
up
an
entire
building
is
not
a
stupid
idea.
Compared
to,
how
else
do
you
plan
on
recruiting
200
people
when
you
have
an
app
with
no
name?
And
I
think
the
same
thing
is
true
with
merchants.
At
the
end
of
the
day,
even
if
you
have
to
forget
about
charging
them
something,
even
if
you
had
to
pay
them
a
small
amount
to
participate.
The
way
we
saw
it
was
the
faster
we
can
prove
that
this
works,
there's
a
lot
of
value
because
once
we
prove
that
it
works,
we
had
the
conviction
to
invest
for
the
long
term.
So,
after
the
first
60
days
we
got
out
of
prototype
product-market
fit
questions
mode,
and
we're
like,
"no,
this
was
going
to
work."
We
convinced
ourselves.
The
most
important
people
to
convince
is
not
your
investors,
it's
yourself.
And
so,
we
convinced
ourselves
that
that
data
was
sufficient
for
us
to
believe
that
we
were
onto
something
big.
Setting clear goals
Pablo (Host)
6:20
And
did
you
have
clear
goals
going
into
it,
that
if
you
get
this
engagement
or
this
many
of
repeat
users
or
whatever?
How
did
you
think
about
that?
Ray (Guest)
6:28
It's
hard
to
set
clear
goals
for
a
product
that
doesn't
exist.
I
think
that
everyone,
you
have
a
pretty
reasonable
sense
of
what's
good
and
bad.
If
a
bunch
of
people
try
it,
and
don't
use
it
again,
that
answers
your
question.
If
a
reasonable
number
of
people
use
it
again...
And
then
one
nice
thing,
by
the
way,
of
doing
it
the
way
we
did
was,
these
people
were
so
close
to
us,
we
could
talk.
And
so,
we
had
a
beta
group
of
people
close
to
us
that
just
gave
us
a
ton
of
feedback,
they
were
engaged,
and
the
data
spoke
for
itself.
When
I
said,
"when
you
get
it
right,
the
first
time
that
is
more
luck
than
skill,"
that's
what
happened
to
us.
I
think
it
was
luck.
We
thought
of
the
century
point
strategy.
If
this
didn't
work,
we'd
probably
have
come
up
with
a
few
others
and
tried
a
number
of
them.
But
this
idea
that
we
had
that
coverage
was
what
really
mattered,
we
should
just
really
focus
on
that,
and
we
have
to
get
that
right
above
everything
else.
And
I
still
say
this
today
when
people
join
the
company,
no
single
app
feature
is
worth
more
than
giving
a
user
all
of
the
merchants.
That
is
the
number
one
thing
we
can
do
to
give
value
to
users.
Basically,
it's
the
same
idea
of
Amazon's
increasing
assortment,
that
everything
else
is
an
accelerant,
but
that
is
almost
a
foundation
of
the
more
you
have,
the
more
useful
it
becomes.
Yes,
I
think
we
proved
that
very
quickly.
And
then
we
started
to
take
a
long-term
view
on
things.
Then
we
weren't
building
for
a
three-month
experiment
because
nope,
we're
committed,
we're
going
deep
on
it.
And
then
we
started
to
take
a
multi-year
view
on
how
we
built
from
that
place.
Finding PMF post-COVID
Pablo (Host)
8:08
Perfect.
So,
that's
Ritual,
and
number
one,
you
do
this
test,
and
it
was
one
building,
15
merchants,
300
employees,
it
goes
well.
And
then
you
start
going
neighbourhood
by
neighbourhood,
merchant
by
merchant,
always
worried
about
coverage,
expand.
I
think
you
were
at
40
some
cities.
And
then
if
we
fast-forward,
many
years
until
COVID
starts,
everything
kind
of
flips
around.
All
of
a
sudden,
you're
focused
on
because
you're
thinking
about
coverage,
you're
focused
on
the
downtown
cores
-
density,
density,
density.
And
those
are
exactly
the
areas
that
were
most
impacted
by
these
office
shutdowns.
So,
now
you're
in
2020
or
so,
and
the
core
assumption
of
your
business
around
Dan's
offices
totally
changes,
you
have
to
find
product-market
fit
again.
Maybe
just
walk
us
through
what
happens
in
this
time
period,
and
where
you
ended
up
shifting
towards.
Ray (Guest)
9:02
Yes,
great
question,
Pablo.
COVID
did
flip
the
world
around
for
us.
Our
greatest
strength,
part
of
this
inset
around
coverage
was
a
secondary
insight
that
office
buildings
were
a
special
entry
point
into
look
because
the
workday
routine
was
basically
what
Ritual...
it
tends
to
be
small
order
sizes,
they're
not
great
for
delivery,
most
people,
have
food
courts
to
buy
or
merchants
at
the
bottom
of
their
buildings
that
they
want
to
transact
from.
And
it's
really
about
removing
the
friction
out
of
the
workday.
Our
growth
with
office
workers
was
viral
in
nature.
We
had
a
very
dense
set
of
merchants
in
a
very
small
area,
so
we
could
support
them
really
well,
as
opposed
to
them
being
spread
out
across
large
areas.
We
really
designed
the
entire
company,
the
playbook,
our
go-to-market,
everything
was
designed
around
capture.
Capture
the
office
area,
and
then
expand
outwards
to
a
city
from
there.
It's
almost
like
that
was
like
the
cream
of
the
city
that
we
were
trying
to
get
focused
on.
And
in
2019,
we
took
on
a
very
large
expansion,
and
launched
office
areas
across
almost
seven
countries,
60
cities.
It
was
an
enormous
expansion
because
of
how
well
things
had
gone
in
previous
years.
And
then
March
2020,
the
global
shutdown
of
offices
happened,
they're
still
closed.
And
that
was
tough
on
the
entire
company
and
the
space,
even
more
so.
And
so,
we've
kind
of
had
to
go
through
a
version
of
what
we
had
to
do
in
2014,
and
we're
a
much
larger
company,
and
we
thought,
"there's
still
a
meaningful
business
that'd
be
supported"
but
a
few
things
happened.
One
was,
we
went
from
a
company
where
80
to
90%
of
our
revenue
came
from
offices.
And
now,
even
though
we
took
a
step
back
in
revenue
after
offices
shut
down,
and
we've
been
rebuilding.
Now
90%
of
our
revenue
comes
from
residential
because
offices
are
closed.
So,
people,
their
patterns,
their
workday
patterns
of
buying
have
shifted
where
they
are
still
making
those
purchases,
but
they're
making
it
near
where
they
Finding PMF gets harder the bigger you are
Ray (Guest)
11:17
live,
not
where
they
work.
And
so,
we've
had
to
do
a
lot
of
work
to
lean
into
that.
And
it's
a
more
difficult
problem
because
the
one
nice
thing
when
you're
a
small
team,
and
you're
trying
to
get
to
product-market
fit,
is
that
things
cannot
be
time
pressured.
The
challenge
when
you're
in
market
with
a
product,
and
you've
got
a
fully
functioning
business
that's
scaling
and
the
rug
gets
pulled
out
from
under
you,
you
have
a
lot
of
time
pressure
to
figure
it
out,
you
can't
take...
So,
I
think
it's
tougher.
You
have
to
make
bets
quickly.
It's
kind
of
like
wartime,
it's
more
important
to
make
a
decision
and
move
it
forward
than
it
is
to
perfectly
get
the
right
decision,
get
the
decision
right
every
time,
and
you've
got
to
move
very
fast.
And
that's
what
we've
done
over
the
last
18
months.
And
it's
basically
been,
we've
done
it
in
two
ways.
One
is
we've
leaned
into
the
fact
that
growth
has
now
shifted
from
offices
into
residential.
And
we've
built
a
series
of
products
to
expand
our
presence
from
just
offices,
including,
building
online
ordering
capability
for
restaurants
that
they
can
deploy
on
their
websites.
It's
still
very
aligned
with
our
original
mission
of
enabling
local
businesses
to
go
digital,
but
a
different
way.
And
frankly
a
much
broader
way
now.
But
also
we
see
it's
starting
to
happen
in
Q4,
and
we
think
that
it's
going
to
happen
over
the
next
year,
but
it's
going
to
be
different
in
the
sense
that
people
have
now
been
trained
on
digital
ordering.
And
so,
what
used
to
be
something
that
we
were
almost
the
early
company
showing
people
a
new
way
of
doing
things
and
now
becomes
the
default.
A
lot
of
buildings
now
see
this
as
a
necessary
amenity,
not
an
optional
thing
like
it
was
before.
And
so,
I
think
the
good
in
it
for
us
is
that,
what
uses
to
be
an
optional
thing
is
becoming
almost
a
mandatory
amenity
in
buildings.
Also
had
to
change
our
products
to
more
deeply
embed
ourselves
into
thousands
of
office
buildings,
et
cetera,
et
cetera.
We're
doing
a
lot
of
work
to...It's
hard
to
predict
exactly
what
the
world's
going
to
look
like
when
we're
on
the
other
side
of
this,
but
the
data
is
basically
the
work
we're
doing
Recap
Ray (Guest)
13:35
right
now.
Pablo (Host)
13:35
Awesome.
All
right,
we'll
cap
it
off
there,
give
a
quick
summary.
We
went
through
how,
while
working
at
Google,
you
started
to
see
some
interesting
insights
around
local
and
digitization.
And
you
ended
up
deciding
to
build
Ritual
a
pickup
app,
how
you
devise
the
first
entry
point
experiment.
And
as
you
said,
that
luckily
that
one
went
very,
very
well,
and
ended
up
getting
you
to
scale
across
60
cities
worldwide,
in
many
different
continents.
Only
to
then
have
COVID
come
and
really
totally
changed
the
game,
and
force
you
to
go
back
to
first
principles,
reorient
your
company,
and
honestly,
come
back
stronger
than
ever
as
COVID
fades
away
and
as
you
now
have
more
presence,
even
in
the
suburbs.
So,
quite
an
incredible
journey,
I'm
sure
founders
will
learn
a
lot
listening
to
the
way
you
describe
your
thinking
and
all
the
steps
you
took.
So,
thanks
a
lot,
Ray.
Really
appreciate
having
you
on
the
show.
Ray (Guest)
14:36
Thanks,
Pablo.
It
was
a
fun
conversation.
Speaker 1
14:39
Thanks
so
much
for
listening.
If
you
want
to
see
more
content,
check
out
pmf.show
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