Latest / Omni Talk Retail / Starbucks Ceramic Mugs & Drizzles, Walmart Pay Increases & Amazon’s New Head Of Grocery | Fast Five

Transcript

Starbucks Ceramic Mugs & Drizzles, Walmart Pay Increases & Amazon’s New Head Of Grocery | Fast Five · Omni Talk Retail

0:04
The
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OmniTalk
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brought
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you
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from
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A
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and
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M.
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Consumer
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and
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Retail
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Group.
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The
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A
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and
0:09
M
0:09
Consumer
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and
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Retail
0:10
Group
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is
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a
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management
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consulting
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and
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advances
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its
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clients,
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people
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and
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communities
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toward
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their
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CRG
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brings
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operator
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to
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retailers
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consumer
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companies
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be
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on
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of
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and
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Miracle.
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is
0:27
the
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global
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in
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E
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Companies
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like
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disruptive
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profitability
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through
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marketplace,
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dropship
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and
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retail
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media.
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For
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more,
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visit
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mirakl.com
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that's
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M
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I
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R
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A
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K
0:41
L.com
0:42
and
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Symbi
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Symbi
0:43
powers
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the
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most
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retail
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banners
0:45
in
0:45
the
0:45
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0:46
with
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today's
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only
0:47
multimodal
0:48
platform
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for
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in
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store
0:49
intelligence.
0:50
See
0:50
how
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Albertsons,
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BJ's
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Spartan
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Nash
0:52
and
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Wakefern
0:52
win
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with
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AI
0:53
and
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automation
0:54
at
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simbirobotics.com
0:57
and
0:57
Ocampo
0:58
Capital.
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Ocampo
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Capital
0:59
is
0:59
a
0:59
venture
1:00
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1:00
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1:00
founded
1:01
by
1:01
retail
1:01
executive
1:01
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1:02
with
1:02
the
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1:03
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1:03
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1:03
early
1:03
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1:04
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1:04
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1:05
succeed
1:05
through
1:05
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1:06
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more@ocampo
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DJs
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Find
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more@events.scratch.com
1:26
hello,
1:27
you
1:27
are
1:27
listening.
1:28
To
1:28
Omnitalk's
1:29
Retail
1:29
Fast
1:29
Five,
1:29
ranked
1:30
in
1:30
the
1:30
top
1:30
10%
1:31
of
1:31
all
1:31
podcasts
1:32
globally
1:32
and
1:32
currently
1:33
the
1:33
only
1:33
retail
1:33
retail
1:34
podcast
1:34
ranked
1:34
in
1:35
the
1:35
top
1:35
100
1:36
business
1:36
podcasts
1:36
on
1:37
Apple
1:37
Podcasts.
1:38
The
1:38
Retail
1:38
Fast
1:38
Five
1:39
is
1:39
the
1:39
podcast
1:39
that
1:39
we
1:39
hope
1:39
makes
1:40
you
1:40
feel
1:40
a
1:41
little
1:41
smarter,
1:41
but
1:42
most
1:42
importantly,
1:42
a
1:43
little
1:43
happier
1:43
each
1:43
week
1:44
too.
1:44
And
1:44
the
1:44
Fast
1:45
5
1:45
is
1:45
just
1:45
one.
1:46
Of
1:46
the
1:46
many
1:46
great
1:47
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1:47
you
1:47
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1:48
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1:48
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1:48
the
1:48
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1:49
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1:49
Podcast
1:50
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1:50
alongside
1:51
our
1:51
Retail
1:51
Daily
1:51
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1:52
which
1:52
brings
1:52
you
1:53
a
1:53
curated
1:53
selection
1:54
of
1:54
the
1:54
most
1:54
important
1:55
retail
1:55
headlines
1:56
every
1:56
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1:56
and
1:57
our
1:57
Retail
1:57
Technology
1:58
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1:58
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1:59
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1:59
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1:59
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1:59
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1:59
each
2:00
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2:00
on
2:00
the
2:00
latest
2:01
retail
2:01
technology
2:02
Trends.
2:02
Today
2:03
is
2:03
January
2:03
29,
2:04
2025.
2:05
I'm
2:05
one
2:05
of
2:05
your
2:05
hosts,
2:06
Anne
2:06
Mazinga.
2:07
And
2:07
I'm
2:07
Chris
2:08
Walton,
2:08
and
2:09
we're
2:09
here.
2:09
Once
2:09
again
2:10
to
2:10
discuss
2:10
all
2:11
the
2:11
top
2:11
headlines
2:11
from
2:12
the
2:12
past
2:12
week
2:12
making
2:13
waves
2:13
in
2:13
the
2:13
world
2:13
of
2:14
omnichannel
2:14
retailing.
2:15
Chris
2:16
no
2:17
surprise
2:17
to
2:17
any
2:18
of
2:18
our
2:18
listeners,
2:18
but
2:18
we're
2:19
headed
2:19
on
2:19
a
2:19
plane
2:19
again
2:20
today
2:20
to
2:21
go
2:21
back
2:21
to
2:21
another
2:22
conference.
2:23
This
2:24
time
2:24
we're
2:24
going
2:25
to
2:25
Marco
2:25
island,
2:26
which
2:27
I
2:27
love.
2:27
I
2:28
have
2:28
to
2:28
tell
2:28
our
2:28
listeners
2:29
that
2:29
when
2:29
you
2:29
tell
2:29
people
2:30
where
2:30
we're
2:30
going,
2:30
you
2:30
always
2:31
say
2:31
San
2:32
Marco
2:32
island.
2:33
And
2:33
it
2:33
does
2:33
sound
2:34
a
2:34
little
2:34
more
2:35
exotic,
2:35
which
2:36
I
2:36
love.
2:36
But
2:36
what
2:36
are
2:36
you
2:37
most
2:37
excited
2:37
about
2:37
for
2:38
this
2:38
trip?
2:39
I'm
2:40
definitely
2:40
excited
2:40
about
2:41
getting
2:41
hopefully
2:41
someplace
2:42
warmer,
2:42
although
2:42
I've
2:42
heard
2:43
and
2:43
that
2:43
Florida
2:44
is
2:44
not
2:44
that
2:44
warm
2:45
this
2:45
time
2:45
of
2:45
year.
2:46
At
2:46
least
2:46
it
2:46
wasn't
2:46
last
2:46
week.
2:47
But
2:47
I'm
2:47
excited
2:48
about
2:48
getting
2:48
out
2:48
of
2:48
the
2:48
cold,
2:49
Minnesota.
2:50
And
2:50
I'm
2:50
excited
2:50
about
2:50
interviewing
2:51
the
2:51
retail
2:51
executives
2:52
out
2:52
there,
2:52
the
2:52
grocery
2:53
executives.
2:53
We
2:53
got
2:53
some,
2:54
we
2:54
got
2:54
some
2:54
bangers
2:54
going
2:55
to
2:55
reconnect
2:55
with
2:56
David
2:56
Best,
2:57
the
2:57
CEO
2:57
of
2:57
Coburn's
2:58
former
2:59
friend
2:59
and
2:59
colleague,
3:00
and
3:00
a
3:01
whole
3:01
host
3:01
of
3:01
other
3:02
great
3:02
executives
3:03
from,
3:04
hopefully
3:04
Sprouts
3:05
and
3:05
Hy
3:05
Vee,
3:06
and
3:06
you
3:06
name
3:07
it,
3:07
we
3:07
got
3:07
them
3:07
on
3:07
the
3:08
list.
3:08
And
3:08
I'm
3:08
excited
3:08
about
3:09
it.
3:09
How
3:09
about
3:09
you?
3:10
Yeah,
3:10
me
3:10
too.
3:11
I
3:11
mean,
3:11
I,
3:12
I'm
3:12
excited.
3:13
My,
3:13
my
3:13
mom
3:13
and
3:14
dad
3:14
are
3:14
down
3:14
in
3:14
that
3:14
area,
3:15
so
3:15
I'm
3:15
going
3:15
to
3:15
spend
3:15
the
3:16
time
3:16
with
3:16
them
3:16
once
3:16
we
3:17
wrap
3:17
up
3:17
the,
3:18
the
3:18
Food
3:18
Marketing
3:19
Institute
3:19
conference.
3:19
But
3:20
super
3:21
excited.
3:21
We're
3:21
partnering
3:22
with
3:22
Cindy
3:22
on
3:23
that.
3:23
And,
3:24
and
3:24
yeah,
3:25
we
3:25
have
3:25
a
3:25
lot
3:25
of
3:25
great
3:25
content
3:26
to
3:26
bring
3:26
you
3:27
through
3:27
the
3:27
weekend.
3:28
Because
3:28
you
3:28
know
3:28
what,
3:29
Chris?
3:29
We
3:29
don't
3:29
rest
3:30
on
3:30
Friday.
3:31
We
3:31
just
3:31
go
3:32
all
3:32
weekend
3:33
long
3:33
with
3:33
the
3:33
retail
3:34
party.
3:35
That
3:36
is
3:36
a
3:36
hundred
3:36
percent
3:36
right.
3:37
And,
3:37
and
3:37
yeah,
3:37
you're
3:38
right.
3:38
We're
3:38
going
3:38
to
3:38
be
3:38
doing
3:38
it
3:38
with
3:39
Simbi
3:39
Simbi,
3:40
the
3:40
sponsor
3:40
of
3:40
this
3:41
podcast
3:41
as
3:41
well.
3:42
And
3:42
if
3:42
you're
3:42
going
3:42
to
3:42
be
3:43
at
3:43
the
3:43
show,
3:43
which
3:43
I
3:44
imagine
3:44
a
3:44
lot
3:44
of
3:44
you
3:44
are,
3:45
because
3:45
it's
3:45
a
3:45
big,
3:46
big
3:46
show
3:46
for
3:46
a
3:47
lot
3:47
of
3:47
the
3:47
big
3:47
time
3:47
executives,
3:48
stop
3:48
by
3:48
and
3:48
see
3:48
us.
3:49
We're
3:49
going
3:49
to
3:49
be
3:49
at
3:49
Booth108
3:50
on
3:50
Friday
3:51
and
3:52
Saturday
3:52
all
3:52
day
3:53
long
3:53
doing
3:54
interviews.
3:54
So,
3:55
Ann,
3:55
I'm
3:56
super
3:56
thrilled.
3:57
All
3:57
right,
3:57
let's
3:57
get
3:57
to
3:57
the
3:58
headlines,
3:58
Chris.
3:59
They're
3:59
not
4:00
coming
4:00
with
4:00
us
4:00
to
4:00
Florida.
4:01
They
4:01
don't
4:01
care.
4:01
They
4:02
just
4:02
want
4:02
to
4:02
know
4:02
what
4:02
the
4:02
retail
4:03
headlines
4:03
are
4:03
this
4:04
week.
4:04
Although
4:05
I
4:05
imagine
4:05
quite
4:05
a
4:06
few
4:06
of
4:06
our
4:06
listeners
4:06
are
4:06
jealous
4:07
about
4:07
the
4:07
sunny
4:07
confines
4:08
of
4:08
Florida.
4:08
It's
4:08
like,
4:08
where
4:09
in
4:09
the
4:09
world
4:10
are
4:10
Chris
4:10
and
4:10
Ann
4:11
this
4:11
week?
4:11
All
4:11
right,
4:12
today's
4:13
headlines
4:13
are
4:13
brought
4:14
to
4:14
you
4:14
in
4:14
partnership
4:14
with
4:15
etel.
4:15
Yes.
4:15
Because
4:16
we
4:16
need
4:16
to
4:16
go
4:16
to
4:16
another
4:17
conference
4:17
in
4:18
just
4:18
31
4:18
days.
4:19
You
4:19
can
4:20
join
4:20
and,
4:21
and
4:21
just
4:21
this
4:22
time
4:22
in
4:22
sunny
4:22
Palm
4:23
Springs.
4:23
Yes,
4:23
she
4:24
is
4:24
taking
4:24
this
4:24
one
4:24
for
4:25
the
4:25
team
4:25
going
4:26
to
4:26
the
4:26
great
4:26
Palm
4:27
Springs.
4:27
Your
4:27
heart
4:28
should
4:28
go
4:28
out
4:28
to
4:28
her.
4:29
I'll
4:29
take
4:30
this
4:30
one
4:30
too,
4:30
fans.
4:31
Yes,
4:31
you'll
4:32
take
4:32
this
4:32
one.
4:33
I'll
4:33
take
4:33
the
4:33
Palm
4:33
Springs
4:34
conference.
4:34
No
4:34
problem.
4:35
Chris
4:36
said
4:36
this,
4:36
this
4:37
is
4:37
a
4:37
nice
4:37
conference.
4:38
I'm
4:38
not
4:38
gonna
4:38
lie.
4:38
She
4:39
will
4:39
be
4:39
with
4:39
the
4:39
best
4:39
of
4:40
the
4:40
best
4:40
in
4:40
retail
4:41
brands
4:41
and
4:41
technology
4:42
including
4:42
H
4:42
and
4:43
M,
4:43
skims,
4:43
Zappos,
4:44
Fabletics,
4:45
Pacsun
4:45
and
4:46
more.
4:46
You
4:46
can
4:47
use
4:47
code
4:47
etail
4:48
partner,
4:48
all
4:49
one
4:49
word,
4:49
etail
4:50
partner
4:50
to
4:51
get
4:51
20%
4:52
off
4:52
this
4:53
must
4:53
attend
4:54
event.
4:54
In
4:55
this
4:55
week's
4:55
Fast
4:55
5,
4:56
we've
4:56
got
4:56
news
4:56
on
4:56
Walmart
4:57
enabling
4:57
its
4:58
suppliers
4:58
to
4:58
test
4:59
products
4:59
in
4:59
Walmart's
5:00
customers
5:00
homes.
5:01
Starbucks
5:02
rolling
5:02
out
5:02
ceramic
5:03
mugs
5:03
and
5:04
macchiato
5:05
art.
5:05
I
5:05
just
5:05
like
5:06
saying
5:06
that.
5:06
And
5:06
Levi's
5:07
claim
5:07
that
5:07
Google
5:08
cloud
5:08
could
5:08
help
5:08
it
5:09
jump
5:09
on
5:09
the
5:09
quote,
5:10
baggy
5:10
jeans
5:11
trend.
5:11
Walmart
5:12
lifting
5:12
its
5:13
max
5:13
pay
5:13
for
5:13
regional
5:14
store
5:14
managers
5:15
above
5:15
60,
5:17
$600,000,
5:18
not
5:18
60,000
5:19
and
5:19
$600,000.
5:21
And
5:21
Justin
5:21
Hahnemann
5:22
of
5:22
AWS
5:23
stops
5:24
by
5:24
for
5:24
five
5:24
insightful
5:25
minutes
5:25
to
5:25
discuss
5:26
the
5:26
key
5:26
trends
5:26
he
5:27
is
5:27
seeing
5:27
in
5:27
2025
5:28
and
5:29
to
5:29
give
5:29
us
5:29
his
5:30
take
5:30
on
5:30
Amazon
5:31
ads
5:31
recently
5:32
launched
5:33
retail
5:33
ad
5:33
services.
5:34
But
5:34
we
5:34
begin
5:35
today
5:35
with,
5:35
dare
5:36
I
5:36
say
5:36
it.
5:36
And
5:37
an
5:37
interesting
5:37
move
5:38
from
5:38
Amazon
5:39
related
5:39
to
5:39
its
5:40
grocery
5:40
strategy.
5:41
That's
5:42
right,
5:42
Chris.
5:42
Headline
5:43
number
5:43
one
5:44
is
5:44
that
5:44
Amazon
5:45
this
5:45
week
5:45
announced
5:46
that
5:46
current
5:46
Whole
5:47
Foods
5:47
CEO
5:48
and
5:48
Beagle
5:49
will
5:49
take
5:49
the
5:50
helm
5:50
for
5:51
its
5:51
entire
5:52
worldwide
5:52
grocery
5:53
business.
5:54
According
5:54
to
5:54
grocery
5:54
dive,
5:55
Beagle,
5:55
who
5:55
already
5:56
oversees
5:56
the
5:56
vast
5:57
majority
5:57
of
5:57
Amazon's
5:58
grocery
5:58
stores
5:58
as
5:59
the
5:59
head
5:59
of
5:59
Whole
5:59
Foods,
6:00
will
6:00
now
6:00
be
6:01
atop
6:01
the
6:01
Amazon
6:01
Fresh
6:02
traditional
6:02
supermarket
6:03
chain
6:03
and
6:04
Amazon
6:04
Go
6:04
fleet
6:05
of
6:05
convenience
6:05
stores.
6:06
Doug
6:06
Harrington,
6:07
the
6:07
CEO
6:08
of
6:08
worldwide
6:08
Amazon
6:09
stores,
6:09
praised
6:09
Beagle's
6:10
experience
6:10
running
6:11
Whole
6:11
Foods
6:11
in
6:11
the
6:12
Monday
6:12
announcement,
6:12
saying,
6:13
quote,
6:13
in
6:13
his
6:13
time
6:13
as
6:14
CEO,
6:14
Jason
6:15
has
6:15
unlocked
6:15
our
6:15
ability
6:16
to
6:16
make
6:16
high
6:16
quality
6:17
natural
6:17
and
6:17
organic
6:18
groceries
6:19
more
6:19
affordable
6:19
and
6:20
accessible
6:20
to
6:20
customers,
6:21
end
6:21
quote.
6:22
And
6:23
that
6:23
Walmart,
6:24
or
6:24
sorry,
6:24
that
6:24
Walmart,
6:25
that
6:25
Whole
6:25
Foods
6:26
has
6:26
achieved,
6:26
quote,
6:27
record
6:27
sales
6:28
growth,
6:28
end
6:28
quote,
6:29
under
6:29
Beagle.
6:30
And
6:30
in
6:30
somewhat
6:30
related
6:31
news,
6:31
Amazon
6:32
also
6:32
announced
6:32
that
6:33
it
6:33
plans
6:33
to
6:33
close
6:33
another
6:34
one
6:34
of
6:34
its
6:34
Amazon
6:35
Go
6:35
stores
6:35
in
6:36
Woodland
6:36
hills,
6:36
California
6:37
on
6:37
February
6:38
26,
6:38
meaning
6:39
its
6:39
total
6:40
store
6:40
count
6:41
will
6:41
have
6:41
decreased
6:41
about
6:42
50%
6:43
since
6:43
early
6:44
2023.
6:45
Wow,
6:45
Chris,
6:46
with
6:46
all,
6:46
with
6:46
all
6:46
that
6:47
out
6:47
of
6:47
the
6:47
way,
6:48
do
6:48
you
6:48
think,
6:48
Mr.
6:49
He
6:49
just
6:49
goes
6:49
by
6:50
Jason
6:50
if
6:50
you're
6:51
friends
6:51
with
6:51
him.
6:51
But
6:52
do
6:52
you
6:52
think
6:52
that
6:52
Beagle
6:53
is
6:53
the
6:53
right
6:53
person
6:54
to
6:54
head
6:54
Amazon's
6:55
grocery
6:55
strategy?
6:57
Whoa.
6:57
All
6:58
right,
6:58
we're
6:58
getting
6:58
started
6:58
off
6:59
hot
6:59
here
6:59
again
6:59
and
7:00
man,
7:00
I
7:00
mean,
7:02
I
7:02
gotta,
7:02
I
7:03
gotta
7:03
think
7:03
about
7:03
how
7:03
I
7:03
want
7:04
to
7:04
answer
7:04
that
7:04
question.
7:05
You
7:05
know,
7:05
I
7:05
think
7:05
Jason
7:06
seems
7:06
like
7:06
a
7:06
good
7:06
dude,
7:07
but
7:07
you
7:07
know,
7:07
I
7:08
gotta
7:08
be
7:08
true,
7:08
true
7:08
to
7:09
the
7:09
show
7:09
and
7:09
give
7:09
my
7:10
opinion
7:10
here.
7:10
But
7:10
there's
7:11
a
7:11
lot
7:11
to
7:11
unpack
7:12
in
7:12
this
7:12
Headline,
7:12
which
7:12
is
7:13
why
7:13
I
7:13
think
7:13
we
7:13
started
7:13
out
7:14
with
7:14
it.
7:15
And
7:15
I
7:15
think
7:15
it
7:15
all
7:16
depends
7:16
on
7:16
what
7:16
Amazon's
7:17
goal
7:17
is
7:17
here
7:17
with
7:17
their
7:17
grocery
7:18
strategy.
7:19
If
7:19
it's
7:20
retreat,
7:20
which
7:21
given
7:21
the
7:21
Amazon
7:22
go
7:22
headlines,
7:23
I
7:23
kind
7:23
of
7:23
think
7:24
that
7:24
might
7:24
be
7:24
what
7:24
it
7:24
is.
7:25
It's
7:25
just
7:25
like,
7:26
throw
7:26
the
7:26
white
7:26
flag
7:27
and
7:27
call
7:27
it
7:27
a
7:27
day,
7:28
then,
7:28
sure,
7:28
give
7:28
him
7:29
more
7:29
responsibility.
7:29
Wind
7:30
down
7:30
Amazon
7:30
Fresh
7:31
and
7:31
Amazon
7:31
go
7:31
make
7:32
that
7:32
part
7:32
of
7:32
his
7:32
job.
7:33
And
7:33
it
7:33
feels
7:34
like
7:34
that's
7:34
what
7:34
they're
7:34
doing
7:34
to
7:34
me.
7:35
But
7:35
if
7:36
it's
7:36
grow
7:36
the
7:36
business,
7:37
honestly,
7:38
I'm
7:38
a
7:38
little,
7:38
little
7:39
skeptical.
7:39
And
7:40
I
7:40
think
7:40
the
7:40
dude's
7:40
sharp,
7:41
he's
7:41
articulate,
7:42
but
7:43
I
7:43
don't,
7:43
I
7:43
don't
7:43
really
7:43
know
7:44
what
7:44
he's
7:44
done
7:44
for
7:44
Whole
7:44
Foods.
7:45
I
7:45
mean,
7:45
the
7:45
record
7:46
sales
7:46
growth
7:46
claim
7:47
kind
7:47
of
7:47
shocked
7:47
me
7:48
a
7:48
little
7:48
bit,
7:48
you
7:49
know,
7:49
especially
7:49
given
7:50
the
7:50
massive
7:50
inflation
7:51
we've
7:51
had
7:51
too,
7:51
in
7:51
the
7:51
grocery
7:52
industry.
7:52
So
7:52
I'm
7:53
a
7:53
little
7:53
bit
7:53
like,
7:53
okay,
7:53
how
7:54
much
7:54
do
7:54
I
7:54
put
7:54
into
7:54
that
7:55
claim?
7:55
You
7:55
know,
7:55
it
7:55
sounds
7:55
like
7:56
something
7:56
I'm
7:56
trying
7:56
to
7:56
do
7:56
to
7:56
chin
7:57
up,
7:57
you
7:57
know,
7:58
excitement.
7:59
The
7:59
daily
8:00
Shop,
8:00
which
8:00
is
8:00
like
8:00
his
8:01
like
8:02
bread
8:02
and
8:02
butter
8:03
strategy
8:03
for
8:03
Whole
8:04
Foods,
8:04
is
8:04
just
8:05
getting
8:05
off
8:05
the
8:05
ground.
8:06
I
8:06
don't
8:06
think
8:06
we
8:06
could
8:06
say
8:07
that
8:07
that's
8:07
successful
8:08
yet.
8:08
And
8:08
we
8:08
have
8:08
a
8:08
lot
8:09
of
8:09
skepticism
8:10
about
8:10
how
8:10
well
8:10
that's
8:11
going
8:11
to
8:11
work
8:11
too.
8:12
And,
8:12
you
8:12
know,
8:12
I
8:12
just
8:13
go
8:13
back
8:13
to
8:13
what
8:13
I've
8:13
said
8:13
on
8:13
the
8:13
show
8:13
a
8:13
lot
8:14
of
8:14
times.
8:14
Is
8:14
Whole
8:14
Foods
8:15
really
8:15
better
8:15
off
8:15
now
8:16
than
8:16
it
8:16
Was
8:16
back
8:17
in
8:17
2017?
8:18
I
8:19
don't
8:19
think
8:19
so.
8:19
I
8:20
mean,
8:20
I
8:20
think
8:20
Walmart
8:20
is
8:21
stronger
8:21
with
8:21
upper
8:21
incomes.
8:22
Sprout
8:22
is
8:23
doing
8:23
great.
8:24
Sprouts
8:24
is
8:24
doing
8:24
great.
8:25
Like,
8:25
so
8:25
I
8:26
just
8:26
don't
8:26
know
8:26
if
8:26
the
8:26
track
8:27
record's
8:27
there
8:27
yet
8:27
to
8:27
be
8:28
like,
8:28
this
8:28
is
8:28
the
8:28
guy
8:28
that's
8:29
going
8:29
to
8:29
re
8:29
enliven
8:30
our
8:30
Amazon,
8:31
you
8:31
know,
8:31
grocery
8:32
growth
8:32
strategy.
8:33
It
8:33
feels
8:33
like,
8:33
it
8:34
feels
8:34
like
8:34
a
8:34
promotion
8:34
based
8:35
on
8:35
potential
8:36
versus,
8:36
like
8:36
actual
8:37
experience
8:37
and
8:37
performance
8:38
to
8:38
me,
8:38
quite
8:38
honestly.
8:39
Yeah.
8:39
I
8:40
mean,
8:40
I
8:40
think
8:40
that
8:40
you
8:40
bring
8:41
up
8:41
a
8:41
really
8:41
important
8:42
point,
8:42
which
8:43
is
8:43
where
8:43
is
8:44
the
8:44
future
8:44
for
8:45
Amazon
8:45
in
8:45
the
8:46
grocery
8:46
space?
8:46
I
8:46
think
8:47
that's
8:47
what
8:47
we
8:47
really
8:47
have
8:47
to
8:48
focus
8:48
on
8:48
here
8:49
and
8:49
now.
8:50
This,
8:50
this,
8:51
this,
8:51
like,
8:52
placement
8:53
of
8:53
Beagle
8:54
now,
8:55
if,
8:55
if
8:55
it
8:55
follows
8:56
the
8:57
way
8:57
that
8:57
it
8:57
should
8:58
go,
8:58
I
8:58
think
8:58
there
8:58
certainly
8:59
could
8:59
be
8:59
some
8:59
positives
9:00
coming
9:00
out
9:00
of
9:01
this.
9:01
Like,
9:01
is
9:02
he
9:02
leading
9:02
the
9:03
strategy?
9:03
He
9:03
does
9:04
know
9:04
the
9:04
Whole
9:04
Foods
9:05
shopper.
9:05
He's
9:05
been
9:06
in
9:06
the
9:06
Whole
9:06
Foods
9:07
ecosystem
9:07
for
9:07
a
9:07
very
9:08
long
9:08
time.
9:08
He
9:08
knows
9:09
what
9:09
the
9:09
Whole
9:10
Foods
9:10
customers
9:10
are
9:10
expecting.
9:11
I
9:12
think
9:12
it
9:12
just
9:12
depends
9:13
on
9:13
will
9:13
he
9:14
get
9:14
to
9:14
start
9:15
making
9:15
calls
9:15
about
9:16
the
9:16
Daily
9:17
shop
9:17
that
9:17
you
9:17
mentioned
9:18
or
9:18
the
9:18
way,
9:19
the
9:19
direction
9:19
in
9:19
which
9:20
Amazon
9:20
takes
9:21
grocery,
9:22
and
9:22
I
9:23
don't
9:23
know
9:23
that
9:24
that's
9:24
possible.
9:25
Like,
9:25
I
9:25
think
9:25
it's
9:25
a
9:26
good,
9:26
it's
9:26
a
9:26
good
9:26
thing
9:27
to
9:27
do.
9:27
I
9:27
think
9:27
Amazon
9:28
is
9:28
taking
9:29
a
9:29
hard
9:29
look
9:29
at
9:29
what
9:29
their
9:30
grocery
9:30
strategy
9:30
should
9:31
be
9:31
and
9:31
if
9:32
he's
9:32
put
9:32
in
9:32
this
9:33
role,
9:33
he's
9:33
really
9:34
in
9:34
control
9:34
of
9:34
driving
9:34
the
9:35
strategy.
9:35
There
9:35
could
9:36
be
9:36
some
9:36
changes.
9:37
My
9:38
thought
9:38
though,
9:38
Chris,
9:39
is
9:39
that
9:39
the
9:39
more
9:39
likely
9:40
scenario
9:40
is
9:40
that
9:41
we
9:41
continue
9:41
to
9:42
kind
9:42
of
9:42
further
9:42
see
9:42
the
9:43
degradation
9:43
of
9:43
Whole
9:44
Foods
9:44
as
9:44
we
9:44
know
9:44
it.
9:45
I
9:45
think
9:46
we're
9:46
going
9:46
to
9:46
start
9:46
to
9:46
see
9:46
Pepsi
9:47
in
9:47
the
9:47
aisles.
9:48
I
9:48
think
9:48
that,
9:48
that
9:49
Jason
9:49
being
9:49
in
9:49
charge
9:50
will
9:50
be
9:50
like,
9:51
yeah,
9:51
this
9:51
isn't
9:51
the,
9:52
the
9:52
Whole
9:52
Foods
9:53
that
9:53
we
9:53
know
9:53
and
9:54
love.
9:54
But
9:54
I
9:54
think
9:54
Amazon
9:55
will
9:55
start
9:55
pushing
9:55
and
9:55
be
9:56
like,
9:56
well,
9:56
but
9:56
we
9:56
need
9:56
the
9:57
money
9:57
from
9:57
these
9:57
CPGs,
9:58
the
9:59
concepts
9:59
that
9:59
we've
9:59
been
10:00
testing
10:00
with
10:00
the
10:00
side
10:01
by
10:01
side
10:01
or
10:01
order
10:02
ahead.
10:02
Like,
10:02
I
10:02
think
10:02
that's
10:03
where
10:03
we
10:03
start
10:03
to
10:03
see
10:04
them
10:04
going,
10:04
which
10:05
to
10:05
your
10:05
earlier
10:06
point
10:06
just
10:06
puts
10:07
them
10:07
in
10:07
closer
10:08
competition
10:08
with
10:09
Walmart
10:09
and
10:10
some
10:10
of
10:10
the
10:10
mass
10:10
merchants
10:11
out
10:11
there
10:11
who
10:12
are
10:12
doing
10:12
organic
10:13
foods,
10:14
who
10:14
are
10:14
doing
10:14
that
10:14
at
10:14
a
10:15
lower
10:15
price
10:15
point
10:16
that
10:16
Whole
10:16
Foods
10:16
is
10:17
never
10:17
going
10:17
to
10:17
beat.
10:17
And
10:17
then
10:18
I
10:18
think
10:18
you,
10:18
you
10:18
kind
10:19
of,
10:20
you,
10:21
you
10:21
push
10:21
away
10:22
the
10:22
Whole
10:22
Foods
10:22
customers
10:23
to
10:23
places
10:24
like
10:24
Sprouts,
10:24
like
10:24
you're
10:25
talking
10:25
about.
10:26
Wow.
10:26
Yeah,
10:26
wow,
10:27
that's
10:27
really
10:27
interesting.
10:27
So
10:28
you
10:28
think
10:28
they
10:28
might
10:28
go
10:28
that
10:29
direction.
10:29
That's
10:29
like
10:30
the
10:30
third
10:30
realm
10:30
here,
10:31
right?
10:31
Of
10:31
like,
10:31
you
10:31
know,
10:32
where.
10:32
I
10:32
hope
10:32
not,
10:33
I
10:34
hope
10:34
not.
10:34
But
10:35
I
10:35
mean,
10:35
I
10:35
think
10:36
just
10:36
based
10:36
on
10:37
what
10:37
we
10:37
know
10:37
about
10:37
Amazon,
10:39
I,
10:39
I
10:39
think
10:40
that's
10:40
probably
10:40
the
10:40
direction
10:41
that
10:41
they're
10:42
about
10:42
money,
10:42
they're
10:42
about
10:43
making
10:43
money
10:43
and
10:43
how
10:43
they
10:44
do
10:44
that
10:44
quickly.
10:44
So,
10:45
yeah,
10:46
I
10:46
was
10:46
like
10:46
looking
10:46
at
10:46
the
10:46
resume
10:47
too.
10:47
And
10:47
you
10:47
know,
10:48
and
10:48
his
10:48
resume
10:49
is
10:49
13.
10:49
I
10:50
think
10:50
it's
10:50
like
10:50
13
10:50
years
10:51
at
10:51
Accenture,
10:52
like
10:52
over
10:52
a
10:52
decade
10:53
at
10:53
Accenture,
10:54
which,
10:54
you
10:54
know,
10:54
is
10:54
mostly
10:54
it,
10:55
then
10:55
came
10:55
into
10:56
Whole
10:56
Foods
10:56
as
10:56
kind
10:56
of
10:56
an
10:57
IT
10:57
strategist
10:58
guy.
10:58
And
10:59
then
10:59
to
10:59
your
10:59
point,
11:00
he's
11:00
been
11:00
at
11:00
Whole
11:00
Foods
11:00
now,
11:01
I
11:01
think
11:01
since
11:01
2013,
11:02
so
11:02
like
11:02
almost
11:03
12
11:03
years
11:03
at
11:03
whole
11:04
Foods.
11:04
So
11:04
he's
11:05
got
11:05
a
11:05
good
11:05
grocery
11:05
understanding.
11:06
But
11:06
you
11:06
know,
11:07
how
11:07
much
11:07
merchandising
11:08
is
11:08
in
11:08
there
11:08
is
11:09
my
11:09
question.
11:09
But
11:09
we
11:09
got
11:10
to
11:10
hear
11:10
him
11:10
speak
11:10
at
11:10
retail
11:11
spaces
11:11
and
11:12
he
11:12
did
11:12
seem
11:12
like
11:12
he
11:13
was
11:13
very,
11:13
you
11:14
know,
11:14
interested
11:15
in
11:15
understanding
11:16
the
11:16
merchandising
11:16
aspect
11:17
of
11:17
the
11:17
business.
11:17
So,
11:17
yeah,
11:18
God
11:18
knows
11:18
where
11:18
this
11:18
goes,
11:19
but
11:19
it's
11:19
going
11:19
to
11:19
be
11:19
fascinating
11:20
what
11:20
the
11:20
other
11:20
thing,
11:21
I
11:21
can't
11:21
say
11:21
Beagle
11:22
without
11:22
thinking
11:23
of
11:23
beaker
11:23
from,
11:24
from
11:24
the
11:24
Muppets.
11:24
Can
11:25
you?
11:25
I
11:25
don't
11:25
know.
11:25
That's
11:26
just
11:26
every
11:26
time
11:27
you
11:27
say
11:27
beagle
11:27
I'm
11:28
like.
11:29
But
11:29
anyway.
11:30
All
11:30
right,
11:30
headline
11:31
number
11:31
two.
11:31
Moving
11:31
on
11:32
Walmart.
11:32
Yep,
11:33
we
11:33
are.
11:34
Walmart
11:34
will
11:34
now
11:34
let
11:35
suppliers
11:35
test
11:36
products
11:36
in
11:36
its
11:36
customers
11:37
homes.
11:37
According
11:37
to
11:38
modern
11:38
retail.
11:39
Last
11:39
Wednesday
11:40
Walmart
11:40
launched
11:41
a
11:41
program
11:41
in
11:41
which
11:42
verified
11:42
customers
11:43
can
11:43
receive
11:43
products
11:44
at
11:44
their
11:44
homes,
11:45
test
11:45
them
11:45
and
11:46
provide
11:46
feedback
11:47
to
11:47
suppliers.
11:48
The
11:48
in
11:49
home
11:49
user
11:49
test
11:50
program
11:50
is
11:51
for
11:51
suppliers
11:51
that
11:51
pay
11:52
to
11:52
subscribe
11:53
to
11:53
it
11:54
insights
11:54
platform
11:55
Walmart
11:55
Luminate,
11:56
which
11:56
the
11:57
retailer
11:58
recently
11:58
renamed
11:59
Scintilla.
12:00
In
12:01
early
12:01
February,
12:02
Walmart
12:03
Luminate
12:04
researchers
12:04
will
12:04
help
12:04
brands
12:05
design
12:05
surveys
12:06
to
12:06
collect
12:07
customer
12:07
feedback
12:08
on
12:08
new
12:08
or
12:08
existing
12:09
products.
12:09
Walmart
12:10
will
12:10
offer
12:10
the
12:10
test
12:11
to
12:11
customers
12:11
from
12:12
Walmart's
12:12
customer
12:12
spark
12:13
community,
12:14
an
12:14
invitation
12:15
only
12:15
group
12:15
of
12:15
Walmart
12:16
shoppers.
12:16
The
12:16
retailer
12:17
has
12:17
used
12:17
to
12:18
conduct
12:19
surveys
12:20
since
12:20
2018.
12:22
And
12:22
this
12:22
is
12:22
the
12:23
put
12:23
you
12:23
on
12:23
the
12:23
spot
12:24
question.
12:24
This
12:24
week
12:24
I
12:25
get
12:25
a
12:25
break
12:25
finally
12:26
this
12:26
week.
12:27
Wow.
12:27
All
12:27
right,
12:28
all
12:28
right,
12:28
let's
12:29
bring
12:29
it
12:29
A
12:29
and
12:29
M.
12:30
Here
12:30
it
12:30
is.
12:31
Quote,
12:32
investing
12:33
in
12:33
consumer
12:33
research
12:34
and
12:34
direct
12:35
usage
12:35
testing
12:35
is
12:36
always
12:36
a
12:36
positive,
12:37
always
12:37
a
12:38
positive
12:38
towards
12:39
building
12:39
more
12:40
consumer
12:40
friendly
12:41
products
12:41
with
12:41
higher
12:42
probability
12:43
of
12:43
success.
12:44
Is
12:44
there
12:44
a
12:44
downside
12:45
to
12:45
CPGs
12:46
doing
12:46
this
12:46
through
12:47
Walmart
12:47
versus
12:48
third
12:48
party
12:49
research
12:49
agencies
12:50
such
12:50
as
12:51
increased
12:51
risk
12:52
of
12:52
delisting
12:53
if
12:53
consumer
12:54
feedback
12:54
is
12:55
initially
12:56
poor,
12:56
End
12:57
quote.
12:57
And
12:58
what
12:58
are
12:58
your
12:58
thoughts
12:59
on
12:59
that
12:59
question?
13:00
You
13:01
know
13:01
I
13:01
think
13:02
the
13:02
only
13:03
downside
13:03
that
13:04
I
13:04
can
13:04
think
13:04
of
13:05
here
13:05
would
13:05
be
13:05
is
13:06
if
13:06
the
13:07
product
13:07
creators,
13:08
the
13:08
CPGs,
13:09
the
13:10
same
13:10
thing
13:10
we
13:10
talk
13:10
about
13:10
with
13:11
retail
13:11
technology
13:11
companies.
13:12
If
13:12
you're
13:12
building
13:13
your
13:13
product
13:14
for
13:14
Walmart
13:15
which
13:15
is
13:15
hard
13:15
not
13:16
to
13:16
do
13:16
because
13:16
it's
13:17
a
13:17
massive
13:17
retailer,
13:18
you're
13:18
building
13:19
it
13:19
for
13:19
America.
13:20
Yeah.
13:20
Yes.
13:20
It's
13:21
basically
13:21
if
13:21
you're,
13:21
if
13:22
you're
13:22
not
13:22
doing
13:22
that
13:23
though
13:23
with
13:23
the
13:24
ability
13:24
to
13:24
consider
13:25
like
13:25
okay,
13:26
how
13:26
do
13:26
I
13:26
then
13:27
make
13:27
sure
13:27
that
13:27
this
13:27
product
13:28
works
13:28
in
13:29
Target,
13:29
works
13:30
in
13:30
Sprouts,
13:30
works
13:31
in
13:31
all
13:31
these
13:31
other
13:31
retailers.
13:32
Like
13:32
you
13:32
can't
13:33
just
13:33
focus
13:33
on
13:33
the
13:34
Walmart
13:35
represent
13:35
or
13:35
the
13:36
Walmart
13:36
feedback
13:36
that
13:37
you're
13:37
getting
13:37
from
13:37
these.
13:38
But
13:38
I
13:38
think
13:38
you
13:39
just
13:39
said
13:39
it,
13:39
Chris.
13:40
I
13:40
think
13:40
that
13:40
this
13:41
is
13:41
good
13:41
because
13:42
number
13:42
one,
13:43
you
13:43
have
13:43
confirmed
13:44
Walmart
13:44
shoppers.
13:45
This
13:45
is
13:45
not
13:45
people
13:46
from
13:46
a
13:46
focus
13:46
groups.
13:47
I've
13:47
done
13:47
plenty
13:47
of
13:48
focus
13:48
groups
13:48
in
13:48
my
13:48
day
13:49
who
13:49
say
13:50
yeah,
13:50
I
13:50
shopped
13:50
at
13:50
Walmart
13:51
in
13:51
the
13:51
last
13:51
six
13:51
months
13:51
or
13:52
I
13:52
think
13:52
I
13:52
did
13:52
or
13:53
I
13:53
might
13:53
or
13:53
whatever.
13:54
I,
13:54
I
13:54
think
13:54
there's
13:54
still
13:55
so
13:55
much
13:55
ambiguity
13:55
in
13:56
the
13:56
cons
13:56
in
13:56
the
13:56
consumer
13:57
focus
13:57
groups
13:58
that
13:58
I
13:58
think
13:59
this
13:59
is
13:59
somebody
13:59
you
14:00
know
14:00
exactly
14:01
is
14:01
a
14:01
confirmed
14:02
Walmart
14:02
shopper
14:03
will
14:03
be
14:03
potentially
14:04
in
14:04
a
14:04
place
14:04
to
14:04
buy
14:04
this
14:05
product.
14:05
And
14:06
I
14:06
think
14:06
Walmart
14:07
rep
14:07
does
14:07
do
14:08
a
14:08
better
14:08
job
14:08
of
14:08
representing
14:09
the
14:09
core
14:10
of
14:10
the
14:10
country.
14:11
So
14:11
if
14:11
you're
14:11
going
14:11
to
14:11
scale
14:12
this
14:12
beyond
14:12
the
14:12
coast,
14:13
like
14:14
Walmart's
14:14
a
14:14
great
14:15
representation
14:15
and
14:16
the
14:16
CPGs
14:16
and
14:17
Walmart
14:17
are
14:17
gonna
14:17
get
14:17
a
14:17
ton
14:18
of
14:18
data
14:18
from
14:18
this.
14:19
So
14:19
I
14:19
think
14:19
it's
14:20
a
14:20
really
14:20
good
14:20
move.
14:21
I
14:21
think
14:21
it
14:21
just
14:22
is
14:22
important,
14:23
like
14:23
that's
14:23
the
14:23
data
14:24
collection
14:24
side
14:24
of
14:25
things.
14:25
I
14:25
said
14:25
I
14:26
still
14:26
think
14:26
it's
14:26
important
14:26
to
14:26
have
14:27
the
14:27
art
14:27
side
14:27
of
14:28
the
14:28
merchandising
14:28
here
14:29
to
14:29
really
14:29
understand,
14:30
okay,
14:30
what's
14:30
the
14:31
data
14:31
that
14:31
we're
14:31
getting
14:31
from
14:32
Walmart
14:32
from
14:33
the
14:33
majority
14:33
of
14:33
the
14:34
country
14:34
and
14:35
how
14:35
do
14:35
we
14:36
delicately
14:37
design
14:37
that
14:38
product
14:38
to
14:38
fit,
14:39
fit
14:39
within
14:39
those
14:39
other
14:40
retailers
14:40
that
14:40
are
14:41
going
14:41
to
14:41
be
14:41
in
14:41
our
14:41
portfolio.
14:42
But
14:42
you,
14:43
you're
14:43
the,
14:44
the
14:44
merchant
14:44
here.
14:45
So
14:45
what
14:45
you
14:46
mean
14:46
you've
14:46
done
14:46
plenty
14:46
of
14:47
these
14:47
tests
14:47
too?
14:47
What
14:48
do
14:48
you
14:48
think?
14:49
Yeah,
14:50
I
14:50
mean
14:50
I,
14:50
I,
14:50
I,
14:51
I,
14:52
I
14:52
think
14:52
you're
14:52
drinking
14:53
the
14:53
Kool
14:53
Aid
14:53
a
14:53
little
14:54
bit
14:54
on
14:54
this
14:54
one
14:54
and
14:55
I,
14:55
I
14:55
kind
14:55
of
14:55
tend
14:56
to
14:56
side
14:56
with
14:56
where
14:56
I
14:57
think
14:57
the
14:57
A
14:57
and
14:58
M
14:59
consumer
14:59
and
14:59
retail
14:59
group
15:00
was
15:00
leading
15:00
us
15:00
with
15:00
that
15:01
question,
15:01
which
15:01
is
15:02
why
15:02
would,
15:03
why
15:03
would
15:03
the
15:03
CPG
15:04
sign
15:04
up
15:04
for
15:04
this?
15:04
Like
15:05
I,
15:05
I
15:06
don't,
15:06
I
15:06
don't
15:06
think
15:06
if
15:07
I'm
15:07
a
15:07
cpg,
15:07
I
15:07
don't
15:08
think
15:08
I
15:08
would
15:08
and
15:08
I
15:09
honestly,
15:09
I
15:10
think,
15:10
you
15:10
know,
15:11
for
15:11
me
15:11
this,
15:12
I
15:13
hate
15:13
to
15:13
say
15:13
it,
15:13
but
15:13
this
15:14
just,
15:14
and
15:15
fair
15:15
play
15:15
to
15:15
Walmart
15:16
for
15:16
doing
15:16
it
15:16
and
15:17
this
15:17
just
15:17
feels
15:18
like
15:18
a
15:18
way
15:18
to
15:18
squeeze
15:19
more
15:19
incremental
15:20
money
15:20
out
15:20
of
15:20
your
15:20
vendor
15:21
community.
15:22
Because
15:23
if,
15:23
like,
15:23
if
15:23
I'm
15:24
a
15:24
vendor,
15:24
it's
15:24
not
15:24
hard,
15:25
I
15:25
mean
15:25
it's
15:26
not
15:26
hard
15:26
to
15:26
find
15:26
Walmart
15:27
shoppers.
15:27
It's
15:27
really
15:28
not
15:28
through
15:28
third
15:28
party
15:28
research
15:29
firms.
15:29
It's
15:29
not,
15:30
maybe,
15:31
maybe
15:31
there's
15:31
occasionally
15:32
somebody
15:32
that's
15:32
lying,
15:33
but
15:33
for
15:33
the
15:33
most
15:33
part
15:33
you
15:33
can
15:34
find
15:34
somebody.
15:34
And
15:35
you
15:35
know,
15:36
and
15:36
so
15:36
like
15:37
why,
15:37
why?
15:37
And
15:37
so
15:38
if
15:38
that's
15:38
the
15:38
case,
15:39
if
15:39
I'm
15:39
a
15:39
cbg,
15:40
why
15:40
do
15:40
I
15:40
need
15:40
Walmart
15:41
to
15:41
help
15:41
me
15:42
design
15:42
tests
15:43
for
15:43
new
15:43
products?
15:44
And
15:44
the
15:44
other
15:45
part
15:45
I
15:45
don't
15:45
like
15:45
about
15:46
this,
15:47
which,
15:47
which
15:48
is
15:48
different
15:48
than
15:48
the
15:48
reasons
15:49
that
15:49
A
15:49
and
15:49
M
15:50
gave
15:50
for
15:50
not
15:50
liking
15:50
it
15:51
or
15:51
potentially
15:51
not
15:51
liking
15:52
it
15:52
is
15:52
I
15:53
don't
15:53
want
15:53
to
15:53
give,
15:54
I
15:54
don't
15:54
want
15:55
Walmart
15:55
to
15:55
get
15:55
insight
15:56
into
15:56
the
15:57
data
15:57
that
15:57
I'm
15:57
collecting
15:58
on
15:58
what's
15:58
working
15:58
and
15:59
not
15:59
working
15:59
with
15:59
my
16:00
new
16:00
product
16:00
development
16:01
because
16:01
then
16:01
they
16:01
could
16:01
go
16:02
and
16:02
take
16:02
that
16:02
and
16:02
put
16:03
that
16:03
into
16:03
their
16:03
own
16:03
private
16:04
label
16:04
development.
16:04
Why
16:05
would
16:05
I?
16:05
Yeah,
16:05
but
16:05
they're
16:05
going
16:05
to
16:06
do
16:06
that
16:06
anyway,
16:07
right?
16:07
I
16:08
mean
16:08
they're
16:08
going
16:08
to
16:08
get
16:08
that
16:08
in.
16:09
They're
16:09
not
16:09
going
16:09
to
16:10
have
16:10
your
16:10
research
16:10
data,
16:11
they're
16:11
not
16:11
going
16:11
to
16:11
have
16:11
your
16:11
feedback
16:12
on
16:12
your
16:12
products.
16:12
No,
16:13
they're
16:13
just
16:13
going
16:13
to
16:13
know
16:14
what's
16:14
selling
16:14
and
16:14
what's
16:15
not
16:15
at
16:15
the
16:15
end
16:15
of
16:15
the
16:15
day
16:16
off
16:16
the
16:16
shelf
16:17
and
16:17
that
16:17
might
16:17
still
16:18
spur
16:18
them
16:18
but
16:19
like
16:19
if
16:19
you're,
16:19
if
16:19
you're
16:19
doing
16:20
some
16:20
new
16:20
recycled
16:21
packaging
16:21
or
16:22
some
16:22
new
16:22
thing,
16:22
you
16:23
know,
16:23
in
16:23
terms
16:23
of
16:23
some,
16:24
some
16:24
new
16:25
like
16:25
label
16:26
claim
16:26
around
16:27
like
16:27
the,
16:27
the
16:28
Ozempic
16:28
craze
16:29
or
16:29
whatever,
16:29
they're
16:29
going
16:29
to
16:29
get
16:30
insight
16:30
into
16:30
that
16:30
more
16:31
quickly
16:31
than
16:31
they
16:31
would
16:31
otherwise
16:32
and
16:32
they
16:32
could
16:32
put
16:33
that
16:33
in
16:33
their
16:33
private
16:33
lab.
16:34
And
16:34
so,
16:34
so
16:34
maybe
16:35
I'm,
16:35
I'm,
16:35
maybe
16:35
I'm
16:36
missing
16:36
something
16:36
but
16:37
I
16:37
don't
16:37
know.
16:37
The
16:37
merchant
16:38
had
16:38
in
16:38
me
16:38
is
16:38
like
16:39
good
16:39
job
16:39
Walmart.
16:40
You
16:40
can
16:40
press
16:40
them
16:40
into,
16:41
you
16:41
know,
16:41
spending
16:42
more
16:42
money
16:42
with
16:42
you
16:43
but
16:43
at
16:43
the
16:43
end
16:43
of
16:43
the
16:44
day
16:44
if
16:44
I'm
16:44
a
16:44
cpg,
16:45
I'm
16:45
like
16:45
treading
16:45
really
16:46
lightly
16:46
here
16:46
and
16:46
I'm
16:46
putting
16:47
the
16:47
minimum
16:48
expected
16:48
commitment
16:49
into
16:50
this
16:50
program
16:50
with
16:51
Walmart.
16:51
That's
16:51
what
16:51
I
16:51
think.
16:52
Oh,
16:53
I
16:53
think
16:53
there's,
16:53
I
16:53
think
16:54
there's
16:54
so
16:54
much
16:54
more
16:54
opportunity
16:55
to
16:55
like
16:56
I
16:56
just
16:56
as
16:56
a
16:57
Walmart
16:57
plus
16:57
member.
16:58
Like
16:58
I
16:58
think
16:58
there's
16:59
so
16:59
many
16:59
more
16:59
opportunities
17:00
to
17:00
capture
17:00
like
17:01
that
17:01
upper
17:01
income
17:02
demographic
17:02
and
17:03
I
17:03
do
17:03
think,
17:04
I
17:04
think
17:04
that
17:04
there's
17:05
more
17:05
to
17:06
knowing
17:07
you
17:07
have
17:07
a
17:07
Walmart
17:08
shopper
17:09
especially
17:09
in
17:09
grocery
17:11
and,
17:11
and
17:12
understanding
17:12
what
17:12
their
17:13
purchasing
17:13
behaviors
17:14
are,
17:14
what
17:14
else
17:15
they
17:15
like,
17:15
what
17:15
other
17:16
flavor
17:16
profiles
17:17
they
17:17
like.
17:17
Like
17:17
I
17:18
think
17:18
there's
17:18
a
17:18
lot
17:18
more
17:19
data
17:19
exchange
17:19
that
17:20
could
17:20
be
17:20
happening
17:21
and
17:21
you're
17:21
right,
17:21
I'm
17:21
sure
17:22
there's
17:22
some
17:22
hook
17:22
in
17:23
there
17:23
just
17:23
like
17:23
with
17:23
retail
17:24
media
17:24
like
17:25
you
17:25
have
17:25
to
17:25
be
17:25
part
17:26
of
17:26
this
17:26
program
17:26
and
17:27
pay
17:27
us
17:27
more
17:27
money
17:28
if
17:28
you're
17:28
going
17:28
to
17:28
be
17:28
like,
17:28
I'm
17:29
sure
17:29
there's
17:29
a
17:29
lot
17:29
of
17:29
nuance
17:30
in.
17:30
There
17:30
but
17:31
part
17:31
of
17:31
the
17:31
vendor
17:31
summit?
17:32
Yes.
17:33
I,
17:33
I
17:33
don't
17:33
know.
17:34
I
17:34
think
17:34
I,
17:34
I
17:35
think
17:35
it's
17:35
worth
17:36
exploring.
17:36
I
17:36
would
17:37
like
17:37
to
17:37
see
17:38
it.
17:38
I,
17:38
I
17:38
guess
17:39
I'll,
17:39
I
17:39
just,
17:39
it's
17:39
something
17:40
I
17:40
want
17:40
to
17:40
follow
17:40
and
17:40
see
17:40
if
17:41
we
17:41
start
17:41
to
17:41
see
17:41
this
17:41
pickup
17:42
as
17:42
you
17:42
know,
17:42
with
17:43
the
17:43
rebrand
17:43
of
17:43
the
17:44
name,
17:44
who
17:44
knows,
17:45
maybe
17:45
it'll
17:45
take
17:45
off
17:45
and
17:46
what
17:46
is
17:46
it?
17:46
Resilience
17:47
or
17:47
something
17:48
there
17:49
salience
17:49
or
17:49
something.
17:54
How
17:55
can
17:55
I
17:55
forget?
17:56
Yeah,
17:56
yeah.
17:56
Oh
17:56
my
17:56
God.
17:57
My
17:57
bet.
17:57
If
17:58
I
17:58
was
17:58
a
17:58
betting
17:58
man
17:58
I
17:59
would
17:59
say,
17:59
I
17:59
would
18:00
say
18:00
we'll
18:00
never
18:00
hear
18:01
about
18:01
this
18:01
headline
18:02
again.
18:02
That's
18:02
what
18:02
I
18:02
think.
18:03
But,
18:03
but
18:03
anyway
18:04
this
18:04
next
18:04
headline
18:04
ad
18:05
is
18:05
my
18:06
personal
18:06
favorite.
18:06
I
18:07
know,
18:07
I
18:07
know
18:07
you're
18:07
pumped
18:08
about
18:08
this
18:08
one.
18:08
Headline
18:09
number
18:09
three,
18:10
Starbucks
18:10
is
18:10
betting
18:11
on
18:11
mugs
18:11
and
18:12
macchiato
18:12
art
18:13
as
18:13
part
18:13
of
18:14
its
18:14
new
18:14
CEOs
18:15
plan.
18:15
According
18:16
to
18:16
Bloomberg,
18:17
when
18:17
customers
18:18
walk
18:18
into
18:18
Starbucks,
18:19
when
18:20
they
18:20
walk
18:20
into
18:20
Starbucks
18:21
this
18:21
week,
18:21
actually
18:21
on
18:21
Monday,
18:22
the
18:22
vibes
18:22
are
18:23
going
18:23
to
18:23
be
18:23
different.
18:23
Did
18:23
you
18:24
feel
18:24
it?
18:24
I
18:24
did
18:24
not
18:25
feel
18:25
it.
18:25
But
18:26
did
18:26
you
18:26
feel
18:26
it,
18:26
Chris?
18:27
Did
18:27
you
18:27
go
18:27
into
18:27
Starbucks?
18:27
I
18:28
haven't
18:28
been
18:28
yet
18:28
this
18:28
week.
18:29
I
18:29
haven't
18:29
been
18:29
to
18:29
Starbucks
18:30
yet.
18:30
But
18:30
we
18:30
get
18:30
to
18:30
Florida,
18:31
this
18:31
is
18:31
the
18:31
first
18:31
thing
18:32
I'm
18:32
doing.
18:32
Okay.
18:34
Workers
18:34
will
18:34
now
18:35
ask
18:35
guests
18:35
if
18:35
they
18:35
want
18:36
drinks
18:36
for
18:36
here
18:37
or
18:37
to
18:37
go,
18:38
offering
18:38
ceramic
18:39
mugs
18:39
for
18:39
those
18:40
who
18:40
want
18:40
to
18:40
stay.
18:41
Baristas
18:42
will
18:42
also
18:42
be
18:42
more
18:43
vigilant.
18:44
This
18:44
is
18:44
my
18:44
favorite
18:45
about
18:45
topping
18:46
macchiatos
18:47
with
18:47
a
18:47
caramel
18:48
crosshatch
18:49
pattern
18:49
made
18:50
up
18:50
of
18:50
exactly
18:51
seven
18:51
vertical
18:51
lines
18:52
and
18:52
seven
18:52
horizontal
18:53
lines,
18:53
which
18:53
will
18:53
take
18:54
seven
18:54
minutes
18:54
too
18:54
long,
18:55
in
18:55
my
18:55
opinion.
18:56
Finished
18:56
with
18:56
a
18:57
spiral.
18:58
Now,
18:58
Chris,
18:58
do
18:59
you
18:59
agree
19:00
with
19:00
new
19:00
CEO
19:01
Brian
19:01
Nichols
19:01
move
19:02
to
19:02
offer
19:02
ceramic
19:03
mugs
19:03
to
19:04
in
19:04
store
19:04
customers
19:05
and
19:05
do
19:05
a
19:05
crosshatch
19:06
caramel
19:06
pattern?
19:07
What
19:08
do
19:08
you
19:08
think?
19:08
Oh,
19:08
my
19:08
God,
19:09
this
19:09
is
19:09
so
19:09
many
19:09
jokes
19:10
coming
19:10
into
19:10
my
19:10
head.
19:10
But
19:11
anyway,
19:11
to
19:11
answer
19:11
that
19:12
question,
19:13
no,
19:13
I
19:14
actually
19:14
don't.
19:14
I
19:14
think,
19:15
I
19:15
think
19:15
he's
19:15
moving
19:16
way
19:16
too
19:17
fast
19:17
on
19:17
this
19:17
and
19:18
way
19:18
too
19:18
fast.
19:19
You
19:20
know,
19:20
I've
19:20
said
19:20
on
19:20
the
19:20
show
19:21
many
19:21
times
19:21
I've
19:21
been
19:21
100%
19:22
bought
19:22
in
19:22
on
19:23
the
19:23
4
19:23
minutes
19:23
or
19:23
less
19:24
idea,
19:24
and
19:25
I
19:25
have
19:25
noticed
19:25
a
19:26
discernible
19:26
difference
19:27
in
19:27
store
19:28
wait
19:28
times
19:29
versus
19:29
ordering
19:29
on
19:30
mobile.
19:30
So
19:30
I
19:31
give
19:31
him
19:31
big
19:31
points
19:32
on
19:32
that
19:32
and
19:32
big
19:33
marketing
19:33
credit
19:33
for
19:33
that
19:34
too,
19:34
because
19:34
he's
19:34
done
19:34
a
19:34
masterful
19:35
job
19:35
on
19:35
that.
19:36
But
19:36
here's
19:36
the
19:36
other
19:37
thing.
19:37
And
19:38
dude,
19:38
Brian
19:38
has
19:39
only
19:39
been
19:39
enrolled
19:40
since
19:40
September,
19:41
which
19:41
is
19:41
like
19:42
less
19:42
than
19:43
four
19:43
months,
19:43
you
19:44
know,
19:44
like,
19:44
yeah,
19:44
so,
19:45
so,
19:45
and
19:45
now
19:46
you're
19:46
introducing
19:46
ceramic
19:47
comps
19:47
on
19:48
a
19:48
massive
19:49
scale
19:49
to
19:49
roll
19:50
out
19:50
across
19:50
the
19:50
chain.
19:51
That's
19:51
a
19:51
huge
19:52
change.
19:52
Like,
19:52
I'm
19:52
like,
19:53
how,
19:53
how
19:53
long
19:54
did
19:54
you
19:54
test
19:54
that?
19:54
Like,
19:55
that's
19:55
the
19:55
type
19:55
of
19:55
thing
19:55
to
19:56
me
19:56
that
19:56
should
19:56
be
19:56
tested
19:56
for
19:57
at
19:57
least
19:57
six
19:58
months,
19:58
if,
19:59
if
19:59
not
19:59
a
19:59
year.
20:00
So,
20:00
and
20:00
then,
20:00
and
20:01
then
20:01
the
20:01
example
20:02
thing
20:02
too
20:02
is
20:02
like.
20:03
Or
20:03
the
20:03
other
20:03
question
20:04
I
20:04
have
20:04
is
20:05
like,
20:06
what
20:07
about
20:07
the
20:07
environments
20:08
themselves?
20:08
Like,
20:09
you
20:09
know,
20:09
like,
20:10
I
20:10
would
20:10
say
20:10
that
20:10
the
20:10
environments
20:11
at
20:11
Starbucks
20:12
in
20:12
general
20:12
need
20:12
to
20:12
be
20:12
improved.
20:13
Like,
20:13
if
20:13
I
20:13
look
20:13
at
20:13
the
20:14
variants,
20:14
the
20:15
variance
20:15
between
20:15
like
20:16
the
20:16
different
20:16
stores
20:17
that
20:17
are
20:17
around
20:17
me,
20:17
like
20:17
the
20:18
three
20:18
different
20:18
stores,
20:18
they're
20:19
all
20:19
different
20:19
environments.
20:20
Like,
20:20
I'm
20:20
not
20:20
going
20:20
to
20:20
want
20:20
ceramic
20:21
mugs
20:21
in
20:21
all
20:21
of
20:22
those.
20:22
I
20:22
might
20:22
want
20:22
them
20:22
in
20:23
some
20:23
of
20:23
them,
20:23
but
20:23
not
20:23
all
20:23
of
20:23
them.
20:24
So
20:24
why
20:24
am
20:24
I
20:24
rolling
20:24
this
20:25
out
20:25
to
20:25
all
20:25
stores?
20:26
So
20:26
it
20:26
feels
20:26
like
20:26
you're
20:26
putting
20:27
the
20:27
cart
20:27
before
20:28
the
20:28
horse,
20:28
before
20:29
the
20:29
horse,
20:29
before
20:30
the
20:30
horse.
20:31
But
20:31
I
20:31
don't
20:31
know,
20:32
maybe
20:32
it's
20:32
not
20:32
that
20:33
big
20:33
of
20:33
a
20:33
change,
20:33
but
20:33
I
20:33
just
20:33
think,
20:34
like,
20:34
you
20:34
know,
20:34
not
20:35
understanding
20:35
the
20:35
impact
20:35
of
20:36
spills,
20:36
more
20:37
mess,
20:37
more
20:37
tilts
20:38
in
20:38
the
20:38
operations,
20:39
that
20:39
you
20:39
have
20:39
to
20:40
evaluate
20:40
it
20:40
for
20:41
longer
20:41
because,
20:42
you
20:42
know,
20:42
if
20:42
it
20:42
doesn't
20:42
work
20:43
or
20:43
causes
20:43
some
20:43
wrinkle
20:44
down
20:44
the
20:44
line,
20:44
then
20:44
what
20:45
do
20:45
you
20:45
do?
20:45
Do
20:45
you
20:45
pull
20:45
it
20:45
back?
20:46
I
20:46
don't
20:46
know.
20:46
It's.
20:47
At
20:47
the
20:48
end
20:48
of
20:48
the
20:48
day,
20:48
this
20:48
feels
20:49
like
20:49
leadership
20:49
by
20:50
fiat
20:50
to
20:50
me,
20:51
based
20:51
on
20:51
how
20:51
quickly
20:52
it's
20:52
happening.
20:53
And
20:53
whenever
20:53
leadership
20:54
by
20:54
fiat
20:54
happens,
20:56
that
20:57
concerns
20:57
me.
20:57
So
20:57
I'm
20:58
a
20:58
little
20:58
worried
20:58
about
20:58
this
20:59
in
20:59
the
20:59
long
20:59
run.
21:00
What's
21:00
leadership
21:01
by
21:01
fiat?
21:02
Yeah,
21:02
I
21:02
mean,
21:02
it's
21:03
like
21:03
three.
21:03
Like,
21:04
I'm,
21:04
I'm,
21:04
like,
21:04
I'm,
21:05
I'm,
21:06
I.
21:06
I'm
21:07
smarter
21:07
than
21:07
everyone
21:08
else.
21:08
And
21:08
this
21:08
is
21:08
what
21:09
I'm
21:09
going
21:09
to
21:09
tell
21:09
our
21:09
organization
21:10
to
21:10
do.
21:11
Regardless
21:11
of
21:12
testing
21:12
it
21:12
or
21:12
understanding
21:13
if
21:13
it's
21:13
the
21:14
right
21:14
move.
21:14
This
21:15
just
21:15
feels
21:15
like
21:15
too
21:16
fast
21:16
for
21:16
me.
21:16
I'm
21:16
not
21:17
saying
21:17
it's
21:17
wrong.
21:18
Yeah.
21:19
But,
21:19
wow,
21:20
it
21:20
seems
21:21
riskier
21:21
to
21:21
me
21:21
than
21:22
probably
21:22
the
21:23
media
21:23
is
21:23
going
21:23
to
21:23
pick
21:23
up
21:24
on.
21:24
And
21:25
then
21:25
the
21:25
impacts
21:25
of
21:26
the
21:26
experience
21:26
in
21:26
the
21:26
long
21:26
run
21:26
could
21:26
be
21:27
bad
21:27
because
21:27
what
21:27
if,
21:28
I
21:28
mean,
21:29
Starbucks
21:29
stores
21:29
have
21:29
not
21:30
been
21:30
very
21:30
clean
21:30
of
21:30
late?
21:31
Like,
21:31
what
21:31
if
21:31
they're
21:31
just
21:31
sitting
21:31
around,
21:32
like,
21:32
just
21:32
on
21:32
tables,
21:33
like,
21:33
not
21:33
picked
21:34
up
21:34
and
21:34
stuff?
21:34
And
21:34
like,
21:35
I
21:35
don't
21:35
know,
21:35
it
21:36
could
21:36
just
21:36
detract
21:36
from
21:37
the
21:37
overall
21:37
experience,
21:37
too.
21:38
Yeah,
21:38
I
21:39
mean,
21:39
I
21:39
think,
21:39
I
21:39
think
21:40
my
21:40
bigger
21:40
issue
21:41
with
21:41
this
21:41
is
21:41
like,
21:42
your
21:42
whole
21:42
goal
21:43
is
21:43
about
21:43
throughput.
21:44
Like,
21:44
you
21:45
need
21:45
to
21:45
make
21:45
more
21:46
money
21:46
at
21:46
Starbucks.
21:47
And
21:47
this
21:47
doesn't
21:48
seem
21:48
like
21:48
a
21:48
way.
21:49
I
21:49
don't
21:49
understand
21:50
how
21:50
this
21:50
is
21:50
doing
21:51
it
21:51
or,
21:52
you
21:52
know,
21:52
like
21:53
you
21:53
said,
21:53
introducing
21:54
a
21:54
new,
21:55
A
21:56
new
21:56
version
21:57
of
21:57
how
21:57
you
21:58
get
21:58
your
21:58
coffee
21:58
and
21:59
having
21:59
to
21:59
clean
21:59
that
21:59
and
22:00
clean,
22:00
you
22:00
know,
22:00
mugs
22:01
that
22:01
are
22:01
left
22:01
around
22:02
the.
22:02
Like
22:02
you're
22:02
taking
22:03
people
22:03
away
22:03
from
22:04
doing
22:04
the
22:05
work
22:05
of
22:05
making
22:06
the
22:06
coffee
22:06
faster
22:07
and
22:07
getting
22:08
more
22:08
product
22:09
through.
22:10
You've
22:10
always
22:10
been
22:11
on
22:11
the
22:11
other
22:11
side
22:11
of
22:11
this
22:12
argument.
22:12
You
22:12
don't
22:12
actually
22:12
like
22:13
that
22:13
he's
22:13
going
22:13
this
22:14
direction
22:14
at
22:14
all.
22:14
You,
22:15
like,
22:15
just
22:15
like
22:15
getting
22:15
the
22:16
throughput,
22:16
getting
22:16
it
22:16
in
22:16
the
22:17
hands,
22:17
going
22:17
faster,
22:18
faster,
22:18
faster.
22:19
Right?
22:19
For
22:19
sure.
22:20
I
22:20
just,
22:20
I
22:20
don't
22:21
think
22:21
this
22:21
makes
22:21
any
22:21
sense.
22:22
The
22:22
only
22:22
thing
22:23
I
22:23
could
22:23
think
22:23
of
22:23
is,
22:23
like,
22:24
now
22:24
that
22:25
you
22:25
have
22:25
ceramic
22:26
mugs
22:26
and
22:26
they
22:26
just
22:27
put
22:27
in
22:27
this
22:27
new
22:28
rule,
22:28
like,
22:28
you
22:28
can't
22:29
loiter
22:29
at
22:29
a
22:30
Starbucks.
22:30
You
22:30
have
22:30
to
22:31
buy
22:31
something.
22:31
Like,
22:32
maybe
22:32
now
22:33
there's
22:33
no
22:33
lid
22:33
on
22:33
the
22:34
cup,
22:34
so
22:34
they
22:34
can
22:35
be
22:35
like,
22:36
get
22:36
out
22:36
of
22:36
here,
22:37
your
22:37
coffee's
22:37
gone.
22:37
Go
22:38
buy
22:38
more
22:38
or
22:39
get
22:39
out
22:39
of
22:39
the
22:39
store.
22:40
So
22:40
that's
22:40
the
22:40
only
22:41
logic
22:41
I
22:41
have,
22:41
which
22:42
is
22:42
a
22:43
super
22:43
stretch
22:44
that
22:44
they'd
22:45
be
22:45
able
22:45
to
22:45
see
22:45
with
22:46
a
22:46
ceramic
22:46
mug
22:46
that
22:47
there's
22:47
no
22:47
more
22:47
coffee
22:47
left
22:48
and
22:48
they
22:48
can
22:48
kick
22:48
people
22:48
out.
22:49
That's,
22:49
that's
22:49
it.
22:50
That's
22:50
all
22:50
I
22:50
got,
22:50
Chris.
22:51
Really?
22:51
That's
22:52
what
22:52
you,
22:52
you
22:53
think
22:53
that's,
22:53
that?
22:54
Wow,
22:54
that's
22:54
crazy.
22:55
No,
22:55
I
22:55
don't
22:56
really
22:56
think
22:56
that.
22:56
I'm
22:56
just.
22:57
Yeah,
22:57
you
22:57
don't
22:57
think
22:57
that.
22:57
But
22:57
that's
22:58
like
22:58
digging
22:58
deep.
22:59
I'm
22:59
like,
22:59
maybe
23:00
with
23:00
my
23:00
ceramic,
23:01
you
23:01
know,
23:01
if
23:01
I'm
23:01
sitting
23:01
at
23:02
a
23:02
table
23:02
and
23:03
I
23:03
can
23:03
have
23:03
an
23:03
empty
23:04
cup
23:04
sitting
23:04
there
23:04
for
23:04
four
23:05
hours,
23:05
as
23:05
we
23:05
know
23:06
some
23:06
people
23:06
like
23:06
to
23:06
do,
23:07
like,
23:08
maybe
23:08
then,
23:08
I
23:09
don't
23:09
know.
23:09
I,
23:10
I,
23:10
I
23:10
have
23:11
no
23:11
idea.
23:12
Okay,
23:12
so
23:12
let's,
23:13
let's
23:13
put
23:13
our
23:13
money
23:13
where
23:13
our
23:14
mouth
23:14
is
23:14
real
23:14
quick
23:14
on
23:14
this.
23:15
Let's
23:15
eat
23:15
what
23:15
we
23:15
cook,
23:15
and
23:16
let's
23:16
go
23:16
test
23:16
this
23:16
out
23:17
this
23:17
week
23:17
when
23:17
we're
23:17
in
23:17
Florida.
23:18
But,
23:18
so,
23:19
so
23:19
you're
23:19
saying
23:20
having
23:21
your
23:21
coffee
23:21
in
23:21
a
23:22
ceramic
23:22
mug
23:23
would
23:24
have
23:24
no
23:24
impact
23:25
on
23:25
your
23:25
desire
23:25
to
23:26
sit
23:26
inside
23:26
of
23:26
a
23:26
Starbucks?
23:27
No,
23:28
I
23:28
prefer
23:28
not
23:28
to
23:28
have
23:29
a
23:29
ceramic
23:29
mug,
23:29
actually.
23:30
Yeah,
23:30
like
23:31
in
23:31
the,
23:31
in
23:31
a
23:31
Starbucks,
23:32
like,
23:32
I,
23:33
I,
23:33
I'm
23:34
not
23:34
there
23:34
for
23:34
long.
23:35
I
23:35
want
23:35
to
23:35
get
23:35
in
23:35
and
23:36
get
23:36
out.
23:36
There's
23:36
no
23:37
Starbucks
23:37
is
23:37
still
23:38
not
23:38
an
23:38
environment
23:39
that
23:39
makes
23:39
me
23:39
want
23:40
to
23:40
stay.
23:40
So
23:40
I
23:41
want,
23:41
I,
23:41
there's
23:41
no
23:42
reason
23:42
for
23:42
me
23:42
to
23:42
have
23:42
a
23:42
ceramic
23:43
mug
23:43
in
23:43
that
23:43
place.
23:44
Yeah,
23:44
that's
23:45
what
23:45
I
23:45
think.
23:45
That's
23:45
what,
23:45
that's
23:46
kind
23:46
of
23:46
what
23:46
I
23:46
was
23:46
trying
23:46
to
23:46
get
23:46
at
23:46
too,
23:47
is
23:47
I
23:47
think,
23:47
like,
23:48
maybe,
23:49
but
23:49
it's
23:49
not
23:49
the
23:49
first
23:49
thing
23:50
that
23:50
needs
23:50
to
23:50
happen
23:50
for
23:50
me
23:51
to
23:51
feel
23:51
like
23:51
I
23:51
want
23:52
to
23:52
stay
23:52
there.
23:53
Right.
23:53
It's,
23:54
it's
23:54
like
23:54
the
23:54
third
23:55
or
23:55
fourth
23:56
decision
23:56
criteria
23:57
for
23:57
me
23:57
of
23:57
wanting
23:57
to
23:58
stay
23:58
there
23:58
and
23:58
the
23:58
environment
23:59
and
23:59
the
23:59
design
23:59
of
23:59
the
23:59
environment
24:00
and
24:00
the
24:00
cleanliness
24:00
of
24:00
the
24:00
environment
24:01
is
24:01
first
24:01
and
24:01
foremost.
24:02
So.
24:02
Wow.
24:03
Okay.
24:03
All
24:04
right,
24:04
well,
24:04
let's
24:04
bring
24:04
Justin
24:05
onto
24:05
today's
24:05
show.
24:07
Joining
24:08
us
24:08
now
24:08
for
24:08
five
24:08
insightful
24:09
minutes
24:09
is
24:09
the
24:10
head
24:10
of
24:10
Worldwide
24:11
retail
24:11
Restaurants
24:12
and
24:12
the
24:12
consumer
24:13
goods
24:13
business
24:14
development
24:14
at
24:14
aws,
24:15
Justin
24:16
Hahnemann.
24:17
Justin
24:17
is
24:17
here
24:17
to
24:18
discuss
24:18
the
24:18
key
24:18
trends
24:18
he
24:19
is
24:19
seeing
24:19
for
24:19
2025
24:20
and
24:21
to
24:21
give
24:21
us
24:21
his
24:21
thoughts
24:22
on
24:22
Amazon
24:23
ads
24:23
recently
24:23
launched
24:24
retail
24:24
ad
24:25
services
24:26
as
24:26
well
24:26
as
24:26
many,
24:27
many
24:27
more
24:28
topics.
24:28
Justin,
24:29
let's
24:29
start
24:29
off
24:29
with
24:29
this.
24:30
What
24:30
are
24:30
the
24:30
key
24:31
topics
24:31
and
24:32
or
24:32
trends
24:32
you're
24:33
hearing
24:33
for
24:33
2025?
24:34
Three
24:35
big
24:35
areas
24:35
I'd
24:35
say
24:36
that
24:36
were
24:36
top
24:37
of
24:37
mind
24:37
this
24:37
week.
24:37
One,
24:38
of
24:38
course,
24:39
AI.
24:41
You
24:41
can't
24:42
not
24:42
be
24:43
talking
24:43
AI
24:44
now.
24:44
And
24:44
you
24:44
know,
24:44
AI
24:45
has
24:45
been
24:45
around
24:45
since
24:45
the
24:45
50s,
24:46
but
24:47
a
24:47
lot
24:47
of
24:47
new,
24:48
a
24:48
lot
24:48
of
24:48
new
24:49
use
24:49
cases
24:50
around
24:50
generative
24:50
AI.
24:51
We
24:51
just
24:51
launched
24:51
a
24:51
whole
24:52
new
24:52
set
24:52
of
24:52
models
24:53
at
24:54
AWS
24:54
called
24:54
Nova.
24:55
And
24:56
these
24:56
are
24:56
a
24:56
brand
24:57
new
24:57
set
24:57
of
24:57
foundation
24:58
models.
24:59
Everything
24:59
from
24:59
text
25:00
to
25:00
images
25:01
to
25:01
video
25:02
and
25:02
videos
25:03
really
25:03
coming
25:03
to
25:04
life
25:04
this
25:04
year.
25:05
The
25:05
second
25:05
area,
25:06
Retail
25:07
Ad
25:07
Services,
25:08
is
25:08
a
25:08
new
25:08
service
25:08
we
25:09
launched
25:09
literally
25:09
in
25:10
the
25:10
last
25:10
two
25:10
weeks.
25:11
It's
25:11
taking
25:11
the
25:11
engine
25:12
from
25:12
Amazon
25:12
Advertising
25:13
and
25:13
allowing
25:14
retailers
25:14
to
25:14
use
25:14
that
25:15
to
25:15
drive
25:15
ads
25:15
on
25:15
their
25:16
own
25:16
site.
25:17
Powerful,
25:18
you
25:18
know,
25:19
leveraging
25:19
the
25:19
best
25:20
practice
25:20
of,
25:20
of
25:21
how
25:21
you
25:21
execute
25:21
ads
25:22
at
25:22
Amazon
25:23
advertising
25:23
and
25:24
retailers
25:24
to
25:25
use
25:25
that.
25:25
Really,
25:26
really
25:26
powerful.
25:27
And
25:27
then
25:27
the
25:27
third
25:27
area,
25:28
I'd
25:28
say,
25:28
you
25:28
know,
25:29
an
25:29
old
25:29
phrase
25:30
but
25:30
I
25:31
think
25:31
is
25:31
important,
25:31
unified
25:32
commerce.
25:33
So
25:33
still
25:33
bringing
25:34
together
25:34
the
25:35
in
25:35
store
25:35
experience
25:36
with
25:36
the
25:36
digital
25:36
experience
25:37
and,
25:37
and
25:38
really
25:38
creating
25:38
an
25:39
environment
25:39
for
25:39
consumers
25:40
and
25:40
shoppers
25:41
to
25:41
connect
25:41
with
25:41
a
25:41
retailer
25:42
or
25:42
brand.
25:42
All
25:43
the
25:43
things
25:43
you
25:43
just
25:43
talked
25:43
about,
25:44
especially
25:44
with
25:44
Gen,
25:45
what
25:45
do
25:46
companies
25:46
need
25:47
to
25:47
be
25:47
doing
25:47
with
25:48
the
25:48
tools
25:48
you
25:48
just
25:49
talked
25:49
about
25:49
in
25:50
order
25:50
to
25:51
generate
25:51
business
25:52
value
25:53
or
25:53
see
25:53
the
25:53
business
25:54
value
25:54
and
25:54
to
25:54
generate
25:55
more
25:55
revenue
25:55
in
25:56
2025?
25:56
It
25:57
links
25:57
back
25:57
to
25:57
data.
25:58
And
25:58
so
25:58
a
25:58
big
25:59
focus
25:59
of
25:59
our
26:00
customers
26:00
is
26:01
on
26:01
the
26:01
customer
26:02
data,
26:02
the
26:03
operational
26:03
data,
26:04
the
26:05
connection
26:06
of
26:06
operations
26:06
in
26:06
the
26:07
stores
26:07
data.
26:07
And
26:07
in
26:07
order
26:08
to
26:08
do
26:08
some
26:08
of
26:08
the
26:09
modeling
26:09
and
26:09
leveraging
26:11
generative
26:11
AI,
26:11
you've
26:12
got
26:12
to
26:12
have
26:12
access
26:12
to
26:12
that.
26:13
So
26:13
we've
26:13
really
26:13
seen
26:14
an
26:14
acceleration,
26:14
therefore
26:15
in
26:15
movement
26:16
to
26:16
cloud
26:16
acceleration
26:17
move
26:17
to
26:17
more
26:17
flexible
26:18
data
26:18
platforms
26:19
and
26:19
acceleration
26:20
investment
26:20
in
26:21
cleaning
26:21
up
26:21
data.
26:22
And
26:22
that
26:22
all
26:23
is
26:23
the
26:23
foundation
26:24
to
26:24
allowing
26:24
you
26:25
to
26:25
take
26:25
advantage
26:25
of
26:26
things
26:26
like
26:26
the
26:26
Nova
26:27
models
26:27
that
26:28
we
26:28
just
26:28
launched.
26:28
All
26:28
right,
26:28
I
26:29
want
26:29
to
26:29
go
26:29
back
26:29
to
26:29
what
26:29
we
26:29
teased
26:30
at
26:30
the
26:30
top
26:30
because
26:30
that
26:31
was
26:31
primarily
26:32
why
26:32
we
26:32
were
26:32
super
26:32
excited
26:33
to
26:33
have
26:33
you
26:33
on
26:33
today's
26:34
program.
26:34
Amazon
26:35
Ads.
26:35
Amazon
26:36
Ads
26:36
just
26:37
launched
26:37
Retail
26:38
Ads
26:38
Service
26:39
as
26:39
it's
26:39
called.
26:40
Can
26:40
you
26:40
tell
26:40
us
26:40
more
26:40
about
26:41
that?
26:41
And
26:42
also
26:42
I
26:42
want
26:42
to
26:42
get
26:42
your
26:42
thoughts
26:43
on
26:43
retail
26:43
media
26:43
networks
26:44
in
26:44
2025.
26:45
Yeah,
26:46
so
26:46
if
26:46
you've
26:46
been
26:46
around
26:47
retail
26:47
for
26:47
any
26:48
number
26:48
of
26:48
years
26:48
now,
26:49
we've
26:49
seen
26:49
this
26:49
kind
26:50
of
26:50
vertical
26:52
chart
26:52
of
26:52
what
26:53
retail
26:53
media
26:54
revenue
26:54
could
26:55
be
26:55
for
26:55
a
26:55
retailer
26:56
based
26:56
on
26:56
ad
26:57
spend
26:57
from
26:57
like
26:57
a
26:58
brand
26:58
or
26:58
whatnot
26:58
on
26:59
those
26:59
retailer
27:00
sites
27:00
or
27:00
in
27:00
store.
27:01
Right.
27:01
So
27:02
for
27:02
us,
27:02
you
27:03
know,
27:03
Amazon
27:03
advertising
27:04
is
27:04
a
27:04
very
27:04
significant
27:05
business
27:05
underneath
27:06
Amazon
27:07
and
27:08
the
27:08
engine
27:09
that
27:09
executes
27:10
basically
27:10
ads
27:11
on
27:11
a
27:11
site.
27:11
We've
27:12
now
27:12
taken
27:12
and
27:13
made
27:13
that
27:13
available
27:13
to
27:14
retailers
27:14
so
27:15
they
27:15
can
27:15
use
27:16
that
27:16
as
27:16
a
27:16
service,
27:17
execute
27:17
ads
27:18
on
27:18
their
27:18
own
27:18
site.
27:19
And
27:19
the
27:20
orders
27:21
that
27:21
might
27:21
be
27:22
executed
27:22
through
27:22
ads
27:23
are
27:23
executed
27:23
by
27:24
that
27:24
retailer.
27:24
They
27:24
are
27:24
not
27:25
executed
27:25
through
27:25
Amazon.com,
27:26
so
27:26
it's
27:26
basically
27:26
taking
27:27
a
27:27
service
27:28
from
27:28
the
27:28
ad
27:28
side,
27:29
allowing
27:29
retailers
27:29
to
27:30
leverage
27:30
it
27:30
to
27:30
drive
27:31
traffic,
27:31
drive
27:31
spend,
27:32
to
27:32
drive
27:33
execution
27:33
of
27:33
orders
27:34
on
27:34
their
27:34
own
27:34
site.
27:34
It's
27:35
very
27:35
powerful.
27:35
It
27:35
literally
27:36
was
27:36
just
27:36
launched
27:36
in
27:36
the
27:36
last
27:37
two
27:37
weeks.
27:37
We
27:37
had
27:37
a
27:37
lot
27:38
of
27:38
interest
27:38
actually
27:39
this
27:39
week
27:40
from
27:40
retailers
27:40
that
27:40
are
27:41
looking
27:41
at
27:41
ways
27:41
to
27:42
better
27:43
leverage
27:43
retail
27:43
media
27:43
spend.
27:44
Justin,
27:44
let's
27:44
get
27:45
you
27:45
out
27:45
of
27:45
here
27:45
on
27:45
this.
27:46
Everything
27:47
you've
27:47
talked
27:47
about
27:48
makes
27:48
a
27:48
lot
27:48
of
27:48
sense
27:49
for
27:49
a
27:49
retailer's
27:50
investment,
27:50
but
27:50
what
27:50
does
27:50
it
27:50
mean
27:51
for
27:51
the
27:51
end
27:51
consumer?
27:52
Knowing
27:52
that
27:52
that's
27:53
always
27:53
going
27:53
to
27:53
be
27:53
top
27:53
of
27:54
mind
27:54
for
27:54
retailers
27:55
and
27:55
brands
27:55
every
27:55
year.
27:56
And
27:56
how
27:56
do
27:56
you
27:56
kind
27:56
of
27:56
see
27:57
that
27:57
evolving
27:57
in
27:57
2025
27:58
in
27:58
consumer,
27:59
you're.
28:00
Going
28:00
to
28:00
see
28:00
a
28:02
level
28:02
of
28:02
personalization
28:03
that
28:03
you
28:03
have
28:04
not
28:04
experienced
28:04
elsewhere.
28:05
I
28:05
think
28:05
that's
28:05
one
28:06
big
28:06
thing
28:06
you'll
28:06
see
28:06
across
28:07
retailers
28:07
is
28:08
the
28:08
investment
28:08
in
28:09
data,
28:09
the
28:09
investment
28:09
in
28:10
capabilities
28:11
is
28:11
going
28:11
to
28:12
provide
28:12
a
28:12
better
28:12
experience,
28:13
a
28:13
more
28:13
personalized
28:14
experience,
28:14
one
28:15
where
28:15
we
28:15
know
28:16
you
28:16
to
28:16
serve
28:16
you.
28:16
If
28:17
you
28:17
think
28:17
about
28:17
it
28:17
from
28:17
a
28:17
retailer's
28:18
perspective.
28:18
And
28:19
then
28:19
our
28:19
job
28:20
with
28:20
a
28:20
retailer,
28:21
for
28:21
example,
28:21
is
28:21
to
28:22
serve
28:22
up
28:22
the
28:23
tools,
28:23
the
28:23
infrastructure,
28:24
the
28:24
kind
28:25
of
28:25
the
28:25
how
28:25
the
28:26
how
28:26
do
28:26
we
28:26
enable
28:27
that
28:27
experience
28:27
for
28:28
the
28:28
customer,
28:28
the
28:28
retailer
28:28
with
28:29
that
28:29
customer
28:30
and
28:30
for
28:30
a
28:30
brand.
28:31
Remember,
28:31
we,
28:31
we
28:32
work
28:32
with
28:32
the
28:32
vast
28:32
majority
28:32
of
28:32
brands
28:33
in
28:33
the
28:33
world.
28:33
We're
28:34
helping
28:34
them
28:34
connect
28:34
to
28:35
customers,
28:35
the
28:35
retailer
28:36
and
28:36
they're
28:36
in
28:37
consumer
28:37
or
28:37
shopper.
28:38
So
28:38
we
28:38
really
28:39
have
28:39
an
28:39
important
28:39
role
28:40
to
28:40
play
28:40
in
28:41
the
28:41
end
28:41
customer
28:41
experience
28:42
to
28:42
then
28:42
backing
28:42
it
28:42
up
28:43
from
28:43
that
28:43
into
28:43
the
28:43
retailer
28:44
and
28:44
then
28:44
back
28:44
to
28:44
the
28:45
brand.
28:46
Justin,
28:46
how
28:46
do
28:47
you
28:47
think
28:47
about
28:47
that
28:47
across
28:48
both
28:48
the
28:48
physical
28:48
stores
28:49
and
28:49
the
28:49
digital
28:50
commerce
28:50
environment?
28:51
Yeah,
28:51
the
28:52
challenge
28:52
for
28:52
most
28:52
retailers
28:53
is
28:53
they
28:53
built
28:54
their
28:54
physical
28:54
store
28:55
kind
28:55
of
28:55
infrastructure,
28:56
technology
28:57
platform
28:58
separate
28:58
from
28:58
E
28:58
commerce.
28:59
And
28:59
so
28:59
many
29:00
of
29:00
the
29:00
legacy
29:00
retailers
29:01
are
29:01
still
29:02
struggling
29:02
to,
29:02
I'll
29:02
say,
29:03
integrate
29:03
that
29:04
so
29:04
that
29:04
they
29:04
can
29:04
operate
29:05
across
29:05
different
29:06
channels.
29:07
And
29:07
that's
29:07
something
29:07
we're
29:08
helping
29:08
our
29:09
customers
29:09
with,
29:09
especially
29:10
as
29:10
it
29:10
relates
29:10
to
29:10
what's
29:11
called
29:11
composable
29:11
commerce.
29:12
So
29:12
that's
29:12
a
29:13
big
29:13
focus
29:13
for
29:13
us
29:14
with
29:14
legacy
29:14
retailers.
29:15
For
29:15
the,
29:16
I'd
29:17
say
29:17
the
29:17
digital
29:17
native
29:18
retailers
29:18
or
29:19
those
29:19
that
29:19
might
29:19
be
29:19
newer,
29:20
a
29:20
lot
29:20
of
29:20
them
29:20
started
29:21
in
29:21
cloud.
29:21
They
29:21
launched
29:22
in
29:22
cloud.
29:22
So
29:22
they're
29:22
very
29:22
interested
29:23
in
29:23
new
29:24
tech,
29:24
new
29:24
capabilities
29:25
they
29:25
can
29:25
launch
29:25
quickly
29:26
to
29:26
better
29:26
that
29:26
experience,
29:27
whether
29:27
it
29:27
be
29:27
on
29:27
a
29:28
mobile
29:28
app,
29:29
the
29:29
website,
29:29
or
29:29
in
29:30
store.
29:30
And
29:30
then
29:31
the
29:31
third
29:31
area
29:32
that
29:32
I
29:32
just
29:32
mentioned
29:32
is
29:33
the
29:33
in
29:33
store
29:33
experience
29:33
for
29:34
the
29:34
actual
29:34
employee.
29:35
Right.
29:36
How
29:36
do
29:36
you
29:36
enable
29:37
the
29:37
staff
29:38
member
29:38
to
29:38
have
29:38
better
29:39
insights
29:39
into
29:39
a
29:39
customer
29:40
or
29:40
better
29:40
insights
29:41
into
29:41
actual
29:41
inventory
29:42
and
29:42
whatnot?
29:43
So
29:43
there's
29:43
a
29:43
lot
29:43
of
29:43
focus
29:44
on
29:44
technology,
29:45
not
29:45
only
29:45
for
29:45
the
29:45
customer,
29:46
but
29:46
for
29:46
the
29:46
staff
29:47
member
29:47
in
29:47
store.
29:47
Great
29:48
stuff,
29:48
Justin.
29:48
Thanks
29:49
for
29:49
being
29:49
here.
29:49
Thank
29:50
you.
29:54
Headline
29:54
number
29:55
four.
29:55
Levi's
29:56
reportedly
29:56
crunched
29:57
the
29:57
data
29:57
to
29:57
jump
29:58
on
29:58
the
29:58
baggy
29:58
jeans
29:59
trend.
29:59
According
29:59
to
30:00
the
30:00
Wall
30:00
street
30:00
journal,
30:00
in
30:01
2020,
30:01
Levi
30:02
signed
30:02
a
30:02
deal
30:03
with
30:03
Google
30:03
Cloud
30:04
and
30:04
began
30:04
gathering
30:05
data
30:05
points
30:06
from
30:06
purchases,
30:07
web
30:07
browsing
30:07
retail
30:08
partner
30:08
sales
30:09
and
30:09
its
30:09
loyalty
30:09
program
30:10
into
30:10
a
30:10
Google
30:11
database
30:11
and
30:11
running
30:12
daily
30:12
machine
30:13
learning
30:13
algorithms
30:14
designed
30:14
to
30:14
identify
30:15
and
30:15
predict
30:15
purchase
30:16
trends.
30:17
Jesus
30:17
Christ.
30:18
And
30:18
how
30:18
many,
30:19
how
30:19
many
30:19
buzzwords
30:20
were
30:20
in
30:20
that
30:20
last
30:21
sentence?
30:21
A
30:21
lot.
30:21
For
30:22
the
30:22
last
30:22
time,
30:23
Levi's
30:23
Chief
30:24
digital.
30:24
For
30:24
the
30:24
first
30:25
time,
30:25
not
30:25
the
30:25
last
30:25
time,
30:26
and
30:26
for
30:26
the
30:26
first
30:26
time,
30:27
Levi's
30:28
Chief
30:28
Digital
30:28
Officer
30:28
Jason
30:29
Gowens
30:29
told
30:30
the
30:30
Journal,
30:30
Levi's
30:31
was
30:31
able
30:31
to
30:31
continuously
30:32
pull
30:32
together
30:32
data
30:33
from
30:33
110
30:34
countries,
30:34
not
30:35
100
30:35
and
30:35
110
30:36
countries,
30:37
and
30:37
50,000
30:38
points
30:39
of
30:39
distribution,
30:40
only
30:40
1100
30:41
of
30:41
which
30:42
were
30:42
Levi's
30:43
own
30:43
stores.
30:45
As
30:45
a
30:45
result,
30:45
the
30:46
new
30:46
data
30:46
system
30:46
helped
30:47
the
30:47
company
30:47
understand
30:48
that
30:48
Baggy
30:49
and
30:49
Loose
30:49
silhouettes
30:50
weren't
30:50
just
30:50
for
30:51
the
30:51
TikTok
30:51
generation,
30:52
they
30:52
were
30:52
for
30:53
everyone.
30:53
As
30:54
a
30:54
result,
30:54
Levi's
30:55
dove
30:55
into
30:55
marketing
30:56
campaigns
30:56
like
30:57
Live
30:57
Loose,
30:58
gotta
30:58
like
30:58
that
30:58
campaign
30:59
and
30:59
began
30:59
evangelizing
31:00
on
31:01
the
31:01
trendiness
31:02
of
31:02
roomier
31:02
fits
31:03
to
31:03
its
31:04
retail
31:04
partners.
31:05
And
31:06
yes,
31:06
are
31:06
you
31:07
buying
31:07
or
31:07
selling
31:08
the
31:08
impact
31:08
of
31:09
data
31:09
that
31:09
Levi's
31:10
claims
31:10
it
31:11
has
31:11
had
31:11
on
31:12
its
31:12
business?
31:13
My
31:13
God,
31:13
there's
31:14
so
31:14
many
31:14
merchandising
31:15
questions
31:15
in
31:15
this.
31:15
I
31:16
feel
31:16
like
31:16
I'm
31:16
just
31:16
getting
31:17
slaughtered
31:17
and
31:17
they're
31:17
going
31:18
right
31:18
to
31:18
me.
31:18
So
31:18
I'm,
31:19
I'm
31:20
interested
31:20
to
31:20
hear
31:20
where
31:21
you
31:21
land
31:21
on
31:21
this,
31:21
Chris.
31:22
But
31:22
look,
31:23
I'm
31:23
buying
31:24
because
31:24
the
31:24
price
31:24
is
31:25
low.
31:26
I'm
31:26
buying
31:26
because
31:27
the
31:27
price
31:27
is
31:27
low
31:27
and
31:27
things
31:28
can
31:28
only
31:28
go
31:28
up
31:29
from
31:29
here.
31:29
Not
31:30
because
31:30
I
31:30
think
31:30
this
31:30
baggy
31:31
jeans
31:31
example
31:32
is
31:32
like
31:33
the
31:33
case
31:33
study
31:33
I
31:33
would
31:33
choose
31:34
to
31:34
represent
31:35
investing
31:36
in
31:36
this
31:36
kind
31:37
of
31:37
data.
31:37
But
31:38
I
31:38
think
31:38
you
31:39
and
31:39
I
31:39
have
31:39
heard
31:39
repeatedly
31:40
over
31:40
the
31:40
course
31:40
of
31:41
the
31:41
last
31:41
several
31:41
weeks
31:41
at
31:41
all
31:41
these
31:42
conferences
31:42
that
31:42
the
31:42
number
31:43
one
31:43
thing
31:43
that
31:43
the
31:43
retail
31:44
CEOs
31:44
and
31:45
executives
31:45
that
31:45
we've
31:45
been
31:46
interviewing
31:46
have
31:47
been
31:47
saying
31:47
that
31:48
they're
31:48
investing
31:48
in
31:49
is
31:49
data
31:49
to
31:50
support
31:50
decision
31:51
making.
31:51
For
31:51
them,
31:52
including
31:52
in
31:52
merchandising
31:53
scenarios.
31:53
I
31:54
think
31:54
you
31:54
also
31:55
have
31:55
to
31:55
be
31:55
invested
31:56
and
31:56
AI
31:56
tools
31:57
to
31:57
kind
31:57
of
31:57
aggregate
31:58
this
31:58
data
31:58
to
31:59
really
31:59
bring
31:59
that
32:00
to
32:00
something
32:01
that
32:01
the
32:01
buying
32:01
and
32:02
merchandising
32:02
teams
32:03
at
32:03
Levi's
32:04
in
32:04
this
32:04
case
32:05
can
32:05
really
32:06
utilize
32:07
and
32:07
help
32:07
inform
32:08
some
32:08
of
32:08
the
32:08
decisions
32:09
they're
32:09
making.
32:09
But
32:10
much
32:10
like
32:10
the
32:10
Walmart
32:11
story
32:11
that
32:12
we
32:12
were
32:12
talking
32:12
about
32:12
earlier
32:12
within
32:13
home
32:13
testing,
32:14
I
32:14
still
32:14
think
32:14
that
32:15
that's
32:15
going
32:15
to
32:16
be
32:16
the
32:16
thing
32:16
that
32:16
you
32:17
have
32:17
to
32:17
invest
32:17
in,
32:17
but
32:17
you
32:18
still
32:18
need
32:18
the
32:19
art
32:19
of
32:19
the
32:19
merchandising
32:20
here.
32:20
Like,
32:20
you
32:21
still
32:21
need.
32:21
A
32:21
good
32:22
merchant
32:22
would
32:22
know
32:22
that
32:23
the
32:23
baggy
32:23
jeans
32:24
trend
32:24
is
32:24
coming.
32:24
A.
32:25
A
32:25
good
32:25
merchant
32:26
understands
32:27
that.
32:27
But
32:27
I
32:27
think
32:28
what's
32:28
cool
32:28
about
32:28
this
32:29
is
32:29
that
32:29
I
32:29
think
32:29
you
32:29
start
32:30
to
32:30
position
32:31
Levi's
32:31
in
32:32
a
32:32
more
32:32
competitive
32:33
space
32:33
against
32:34
some
32:34
of
32:34
the
32:34
fast
32:35
fashion
32:35
players
32:36
out
32:36
there,
32:36
like
32:36
Shein
32:37
and
32:37
Timu,
32:37
who
32:37
are
32:37
taking
32:38
aggregated
32:39
data
32:39
on
32:39
their
32:39
platforms.
32:40
How
32:40
much
32:40
timing,
32:41
like,
32:41
what
32:41
people
32:42
are
32:42
searching,
32:42
how
32:42
much
32:42
time
32:43
they're
32:43
spending
32:43
engaging
32:44
with,
32:44
you
32:44
know,
32:45
games
32:45
or
32:46
shopping
32:47
experiences
32:48
for
32:48
certain
32:48
products
32:48
in
32:49
the
32:49
app
32:49
and
32:49
then
32:49
using
32:49
that
32:50
data
32:50
to
32:50
determine
32:50
how
32:51
much
32:51
of
32:51
products
32:51
they
32:51
make,
32:52
what
32:52
trends
32:52
are
32:53
kind
32:53
of
32:53
coming
32:53
down
32:53
the
32:53
pipeline.
32:54
I
32:55
think
32:55
there's,
32:56
there's
32:56
a
32:56
use
32:56
case
32:57
for
32:57
this.
32:57
I
32:58
think
32:58
this
32:58
is
32:58
just
32:58
an
32:59
early
32:59
stage
32:59
and
32:59
maybe
33:00
not
33:00
the
33:00
best
33:00
example
33:01
for
33:01
it,
33:01
but
33:02
I
33:02
have
33:02
a
33:02
feeling
33:03
that
33:03
you're
33:03
gonna,
33:04
you're
33:04
gonna
33:04
take
33:04
this
33:05
in
33:05
a
33:05
completely
33:05
different
33:06
direction.
33:06
Chris.
33:08
Well,
33:09
and
33:09
you're
33:09
not
33:09
buying.
33:10
You're
33:10
not
33:10
buying.
33:10
I
33:11
gotta
33:11
tell
33:11
you,
33:11
you
33:12
know
33:12
me
33:12
really,
33:13
really
33:13
well
33:13
at
33:14
this
33:14
point.
33:14
You
33:14
could
33:14
probably
33:15
tell
33:15
from
33:15
how
33:15
I
33:15
did
33:15
the
33:15
re.
33:16
I'm.
33:16
I'm.
33:16
No,
33:16
I'm
33:17
not
33:17
buying
33:17
this.
33:17
I'm
33:17
selling
33:17
this
33:18
hard.
33:18
In
33:18
fact,
33:19
like,
33:19
I
33:19
think
33:19
back,
33:19
this
33:20
is
33:20
like,
33:20
why,
33:20
why
33:21
I
33:21
personally
33:21
got
33:22
into
33:22
the
33:22
business
33:22
that
33:22
we're
33:23
in
33:23
is
33:23
to
33:24
call.
33:24
Call
33:25
PS
33:25
on
33:25
headlines
33:26
like
33:26
this,
33:26
I'm
33:26
selling
33:27
this
33:27
so
33:27
hard.
33:28
This,
33:28
this
33:29
story
33:29
to
33:29
me
33:29
is
33:30
an
33:30
example
33:30
of
33:31
claiming
33:32
text
33:32
impact
33:33
for
33:33
something
33:33
that
33:34
lines
33:34
up
33:34
after
33:34
the
33:35
fact,
33:35
after
33:35
it's
33:35
happened.
33:36
Okay,
33:36
the
33:36
baggy
33:36
trend,
33:38
you're
33:38
just
33:38
doing
33:39
this
33:39
on
33:39
leave,
33:40
like,
33:40
for
33:40
this
33:40
Levi's.
33:41
Yeah,
33:41
I'm.
33:41
The
33:41
claim
33:42
on
33:42
the
33:42
claim
33:42
that
33:42
Levi's
33:43
is
33:43
attributing
33:44
their
33:44
success
33:45
on
33:45
the
33:45
baggy
33:45
jeans
33:46
trend
33:46
to
33:46
their
33:46
partnership
33:46
with
33:47
Google
33:47
Cloud.
33:47
I
33:47
just
33:47
think
33:48
it's
33:48
total
33:48
baloney.
33:49
I
33:49
mean,
33:49
and
33:49
seriously,
33:50
the
33:50
baggy
33:50
jeans
33:51
trend,
33:51
you
33:51
didn't
33:51
see
33:52
that
33:52
coming?
33:53
I
33:53
saw
33:53
that
33:53
coming.
33:54
You
33:54
know,
33:54
like,
33:55
I
33:55
mean,
33:55
and
33:56
you're
33:56
telling
33:56
me,
33:56
like,
33:56
you
33:57
even
33:57
mentioned
33:57
all
33:57
the
33:57
fashion
33:58
merchants
33:58
at
33:58
Levi's
33:59
went
33:59
to
34:00
data
34:00
from
34:00
Google
34:00
Cloud
34:01
to
34:01
Tell
34:01
them
34:01
the
34:02
baggy
34:02
jeans
34:02
trend
34:02
was
34:03
coming.
34:03
Come
34:04
on,
34:05
I
34:05
wasn't
34:05
born
34:05
yesterday.
34:06
And,
34:07
and,
34:08
and,
34:08
but,
34:08
you
34:08
know,
34:09
my
34:09
last
34:09
I'd
34:10
say
34:10
is,
34:10
good
34:10
job
34:11
by
34:11
you,
34:11
Jason
34:11
Gowans,
34:12
for
34:12
trying
34:12
to
34:12
make
34:12
Levi's
34:13
sound
34:13
much
34:13
cooler
34:14
from
34:14
a
34:14
tech
34:14
standpoint
34:15
than
34:15
it
34:15
probably
34:15
is.
34:15
And,
34:16
and
34:16
for
34:16
my
34:16
friends
34:17
there,
34:17
like,
34:17
I've
34:17
heard
34:18
very,
34:18
very
34:19
different
34:20
varying
34:20
degrees
34:21
of
34:21
how,
34:22
how
34:23
tech
34:23
forward
34:23
Levi's
34:24
is
34:24
and
34:24
how,
34:25
and
34:25
how
34:25
much
34:25
they
34:26
struggle
34:26
on
34:26
the
34:26
tech
34:27
side
34:27
of
34:27
things.
34:27
So,
34:27
so
34:28
maybe
34:28
so.
34:28
I,
34:28
I
34:29
just
34:29
think
34:29
this
34:29
is
34:29
taking
34:30
a
34:30
victory
34:30
lap
34:30
for
34:31
something
34:31
that
34:31
is
34:31
just
34:32
nicely
34:32
correlated
34:33
with
34:33
your
34:33
sales
34:33
performance.
34:34
That's
34:34
what
34:34
I'd
34:35
say.
34:35
So,
34:35
so
34:36
to
34:36
clarify
34:37
then,
34:37
I
34:37
think
34:37
so
34:37
you're
34:38
saying
34:38
you're
34:39
selling
34:40
the,
34:40
the
34:40
claim
34:41
that
34:41
Levi's
34:41
is
34:41
making.
34:42
You're
34:42
not
34:42
selling
34:43
the
34:43
idea
34:43
that
34:44
companies
34:44
should
34:44
be
34:44
investing
34:45
in
34:45
this
34:45
type
34:45
of
34:46
technology
34:46
to
34:47
aggregate
34:48
supply
34:48
their
34:49
merchants
34:49
with
34:49
and
34:49
that
34:50
there
34:50
could
34:50
be
34:50
a
34:50
positive
34:51
outcome
34:51
from
34:51
that?
34:52
Yes.
34:53
Right.
34:53
Yes.
34:54
100.
34:54
Yes.
34:55
Okay,
34:55
here's.
34:55
I
34:56
think
34:56
we're
34:56
on
34:56
the
34:56
same
34:56
page.
34:57
I
34:57
think
34:57
we're
34:57
on
34:57
the
34:58
same
34:58
page.
34:58
Yes.
34:58
Here's
34:59
how
34:59
I'm
34:59
guessing
34:59
this
35:00
conversation
35:00
actually
35:00
went
35:01
down.
35:01
If
35:01
I
35:01
had,
35:01
if
35:02
I
35:02
had,
35:02
you
35:02
know,
35:03
a
35:03
bird's
35:03
eye
35:03
view
35:03
into
35:04
Macy's
35:04
if
35:04
I
35:04
was
35:04
a
35:04
fly
35:05
in
35:05
the
35:05
wall
35:05
or
35:05
not
35:06
Macy's
35:06
in
35:06
Levi's,
35:06
if
35:07
I
35:07
was
35:07
a
35:07
fly
35:07
on
35:07
the
35:07
wall
35:07
in
35:08
Levi's,
35:08
like,
35:09
the
35:09
fashion,
35:10
the,
35:10
the
35:10
merchants
35:11
are
35:11
like
35:11
doing
35:11
their
35:12
line
35:12
review.
35:12
They're
35:12
like,
35:12
biggie,
35:13
baggy
35:13
jeans
35:13
is
35:13
going
35:13
to
35:14
be
35:14
the
35:14
trend
35:14
this
35:14
year.
35:14
We're
35:15
going
35:15
to
35:15
buy
35:15
into
35:15
it
35:15
big.
35:16
And
35:16
then
35:16
some
35:16
computer
35:17
walk
35:17
in
35:17
the
35:17
side's
35:18
like,
35:18
yep,
35:18
our
35:18
data
35:18
says
35:19
that,
35:19
that,
35:19
let's
35:19
do
35:19
that.
35:20
And
35:20
then
35:20
they're
35:20
like,
35:20
okay,
35:21
fine,
35:21
yeah,
35:21
let's
35:21
take
35:22
credit
35:22
for
35:22
it.
35:22
That's
35:22
how
35:22
it
35:23
works.
35:23
You
35:23
know
35:23
that.
35:23
Well,
35:24
that's,
35:24
that's
35:24
a
35:24
funny
35:25
thing
35:25
about
35:25
retail.
35:26
I
35:26
mean,
35:26
there's
35:27
there's
35:27
only.
35:27
Still
35:28
so
35:28
much
35:28
art
35:29
and
35:29
sci,
35:29
you
35:29
know,
35:30
so
35:30
much
35:30
science
35:31
that
35:31
goes
35:31
into
35:31
the
35:31
art
35:32
of
35:32
just
35:32
having
35:32
to
35:32
make
35:32
bet.
35:33
I
35:33
mean,
35:33
Levi's
35:34
has
35:34
to
35:34
make
35:34
some
35:34
pretty
35:35
big
35:35
freaking
35:35
bets
35:36
pretty
35:36
darn
35:36
early
35:37
too.
35:37
So,
35:37
like,
35:38
I,
35:38
I
35:39
don't
35:39
know.
35:39
I
35:39
just,
35:39
I
35:39
don't.
35:40
I'm
35:40
not
35:40
buying
35:40
it.
35:41
Maybe
35:41
a
35:41
little
35:41
bit,
35:41
but
35:42
not
35:42
buying
35:42
it.
35:42
All
35:43
right,
35:43
all
35:43
right,
35:44
fair.
35:44
Well,
35:44
we
35:45
kind
35:45
of
35:45
agree.
35:46
Not.
35:46
But
35:47
not
35:47
on
35:47
the
35:47
baggage
35:48
jeans
35:48
case
35:48
study.
35:49
That's
35:49
where
35:49
we'll
35:49
leave
35:50
this.
35:50
Oh,
35:50
yeah.
35:51
Data
35:51
100
35:52
data
35:52
is
35:52
the
35:53
foundation
35:53
of
35:53
good
35:53
retailing
35:54
going
35:54
forward.
35:54
Yes.
35:55
Yes.
35:56
Okay.
35:56
All
35:57
right.
35:57
Headline
35:57
number
35:58
five.
35:58
Walmart
35:59
is
35:59
boosting
36:00
what
36:00
it
36:00
pays.
36:01
Regional
36:01
store
36:01
managers
36:02
this
36:02
year,
36:02
enabling
36:03
the
36:03
top
36:03
performers
36:04
to
36:04
take
36:04
home
36:04
more
36:05
than
36:05
$600,000
36:07
a
36:07
year.
36:07
According
36:08
to
36:08
the
36:08
Wall
36:08
Street
36:08
Journal,
36:09
regional
36:09
managers
36:10
responsible
36:10
for
36:10
clusters
36:11
of
36:11
a
36:11
dozen
36:11
Walmart
36:12
stores,
36:12
a
36:12
role
36:13
known
36:13
as
36:13
a
36:13
market,
36:14
will
36:15
be
36:15
able
36:15
to
36:15
earn
36:16
between
36:16
$420,000
36:18
and
36:18
$620,000
36:19
if
36:20
they
36:20
get
36:20
their
36:20
full
36:21
bonuses
36:21
this
36:22
year.
36:22
That
36:23
total
36:23
is
36:23
up
36:24
from
36:24
a
36:24
range
36:24
of
36:25
roughly
36:25
320,000
36:26
to
36:26
570,000
36:28
last
36:28
year.
36:29
The
36:29
retail
36:29
giant
36:30
recently
36:30
told
36:31
these
36:31
supervisors
36:32
about
36:32
increased
36:32
bonus
36:33
and
36:33
stock
36:33
awards,
36:34
changes
36:34
that
36:35
reflect
36:35
how
36:35
their
36:35
jobs
36:36
of
36:36
running
36:36
a
36:37
collection
36:37
of
36:37
stores
36:37
have
36:38
become
36:38
more
36:38
critical
36:39
to
36:39
the
36:39
company's
36:40
success.
36:40
At
36:41
the
36:41
same
36:41
time,
36:41
Walmart
36:42
is
36:42
pulling
36:42
back
36:42
on
36:43
perks
36:43
for
36:43
office
36:44
based
36:44
staff,
36:44
such
36:45
as
36:45
gradually
36:45
ending
36:46
remote
36:46
work,
36:47
cutting
36:47
some
36:47
pay
36:47
and
36:48
shifting
36:48
workers
36:49
to
36:49
the
36:49
same
36:49
health
36:49
insurance
36:50
plans
36:51
offered
36:51
to
36:51
most
36:52
store
36:52
staff.
36:53
Chris,
36:53
are
36:53
you
36:53
pro
36:54
or
36:54
con?
36:55
Walmart
36:55
increasing
36:55
its
36:56
benefits
36:56
for
36:57
regional
36:57
store
36:57
managers?
36:58
Especially
36:58
important
36:59
since
36:59
you
36:59
were
37:00
one.
37:01
Yes,
37:02
I
37:02
was,
37:03
thank
37:03
you.
37:03
But
37:04
for
37:04
Target.
37:04
Yeah,
37:04
not
37:04
for
37:04
Walmart,
37:05
not
37:05
for
37:05
Walmart,
37:05
but
37:05
for
37:06
Target.
37:06
And
37:06
were
37:06
you
37:07
making
37:07
$640,000
37:08
a
37:09
year?
37:09
Because
37:09
that
37:09
is
37:10
pretty
37:10
sweet.
37:12
God
37:13
no.
37:13
And
37:14
I
37:14
was
37:14
a
37:14
store
37:14
manager
37:15
when
37:15
the
37:15
sales
37:15
weren't
37:15
that
37:15
great
37:16
at
37:16
Target
37:16
either,
37:16
so
37:16
it
37:16
definitely
37:17
was
37:17
not.
37:17
Or
37:18
a
37:18
regional
37:18
manager
37:19
at
37:19
Target
37:19
when
37:19
the
37:20
sales
37:20
were
37:20
not
37:20
great
37:20
either.
37:20
So
37:21
no,
37:21
I
37:21
was
37:21
not.
37:22
But
37:23
the
37:23
great
37:24
thing
37:24
about
37:24
this
37:24
headline
37:24
to
37:25
end
37:25
the
37:25
show
37:25
is
37:26
finally
37:26
a
37:26
headline
37:27
I
37:27
can
37:27
laud.
37:27
I
37:27
feel
37:27
like
37:28
I
37:28
think
37:28
every
37:29
headline
37:29
this
37:29
week
37:30
but
37:30
this
37:30
one
37:30
I'm
37:31
lauding.
37:31
I
37:31
love
37:31
this
37:32
move
37:32
and
37:33
why,
37:33
you
37:33
know,
37:33
why
37:33
Other
37:34
retailers
37:34
are
37:34
closing
37:34
stores.
37:35
Walmart
37:35
is
37:36
investing
37:36
in
37:36
its
37:36
bread
37:36
and
37:36
butter
37:37
and
37:37
signaling
37:37
to
37:38
the
37:38
entire
37:38
organization.
37:39
This
37:39
is
37:39
my
37:40
favorite
37:40
part.
37:40
They
37:40
are
37:41
signaling
37:41
to
37:41
the
37:41
entire
37:42
organization
37:43
that
37:43
store
37:44
level
37:44
work
37:44
is
37:45
as
37:45
important,
37:45
if
37:46
not
37:46
more
37:46
important,
37:46
than
37:47
the
37:47
work
37:47
done
37:47
in
37:47
headquarters.
37:48
And
37:48
I
37:49
got
37:49
to
37:49
tell
37:49
you,
37:50
and
37:50
to
37:50
your
37:50
point,
37:50
having
37:51
done
37:51
this
37:51
exact
37:52
job
37:52
at
37:52
Target,
37:53
that
37:53
is
37:53
true.
37:54
The
37:54
scope
37:55
of
37:55
the
37:55
job
37:55
is
37:56
much
37:56
harder,
37:57
much,
37:57
much
37:57
harder
37:58
and
37:58
requires
37:59
an
37:59
entirely
37:59
different
38:00
skill
38:00
set
38:00
than
38:01
what
38:01
I
38:01
was
38:01
getting
38:01
paid
38:02
for
38:02
at
38:02
an
38:02
equivalent
38:03
salary
38:04
for
38:04
my
38:04
HQ
38:04
roles
38:05
at
38:05
Target.
38:05
Like
38:06
hands
38:06
down,
38:06
I
38:07
would
38:07
say
38:07
that
38:07
every
38:07
day
38:07
to
38:08
the
38:08
cows
38:08
come
38:08
home.
38:09
And
38:09
at
38:09
HQ
38:10
also
38:10
you're
38:10
a
38:11
dime
38:11
a
38:11
dozen.
38:12
But
38:12
good,
38:12
competent
38:13
field
38:13
leaders
38:13
are
38:14
much,
38:14
much
38:14
harder
38:15
to
38:15
find.
38:15
Like
38:16
you
38:16
can
38:16
find
38:17
pick
38:17
some
38:17
random
38:17
MBA
38:18
off
38:18
the
38:18
street,
38:18
but
38:18
get
38:19
an
38:19
MBA
38:20
in
38:20
there
38:20
to
38:20
run
38:20
a
38:20
store
38:21
and
38:21
let
38:21
alone
38:22
run
38:22
a
38:22
region,
38:23
that's
38:23
a
38:23
whole
38:24
different
38:24
thing.
38:24
So
38:25
Walmart,
38:25
kudos
38:25
to
38:25
you
38:26
for
38:26
understanding
38:27
what
38:27
really
38:28
leads
38:28
to
38:28
your
38:28
success,
38:29
which
38:29
is
38:29
fundamentally
38:30
your
38:31
performance
38:31
in
38:32
your
38:32
stores.
38:32
Got
38:33
to
38:33
give
38:33
you
38:33
credit
38:33
on
38:33
this
38:34
one.
38:34
Yeah,
38:35
I
38:35
agree.
38:35
I
38:35
mean
38:36
I
38:36
think
38:36
it's
38:36
about
38:37
time.
38:37
I
38:38
never
38:38
understood
38:39
even
38:39
you
38:39
know,
38:39
in
38:39
our
38:40
days
38:40
at
38:40
Target
38:40
why
38:41
you
38:41
know,
38:41
we
38:42
had
38:42
different
38:42
bathrooms
38:43
than
38:43
the
38:43
head
38:44
at
38:44
the
38:44
headquarters
38:45
than
38:45
the
38:45
stores
38:45
teams.
38:46
Like
38:46
it's
38:47
like
38:47
little
38:47
things
38:47
like
38:48
that.
38:48
And
38:48
so
38:48
I
38:48
think
38:48
even
38:49
looking
38:49
at
38:49
like
38:49
the
38:50
health
38:50
care
38:50
being
38:51
consistent
38:51
across
38:52
the
38:52
board,
38:52
like
38:52
you
38:53
should
38:53
be
38:54
treating
38:55
these
38:55
store
38:55
teams
38:56
who
38:56
are
38:57
still
38:57
making
38:57
the
38:58
most
38:58
impact
38:58
to
38:59
your
38:59
bottom
38:59
line.
39:00
They're
39:00
responsible
39:01
for
39:01
successfully
39:01
rolling
39:02
out
39:02
all
39:02
this
39:02
technology
39:03
and
39:04
eventually
39:04
creating
39:05
a
39:05
positive
39:06
customer
39:06
experience
39:07
that's
39:07
going
39:07
to
39:08
keep
39:08
all
39:08
the
39:09
HQ
39:09
jobs
39:09
funded
39:10
anyway.
39:10
Like
39:11
these
39:11
are
39:11
the
39:11
people
39:12
who
39:12
you
39:12
should
39:12
be
39:12
investing
39:12
in.
39:13
Plus
39:13
I
39:13
think
39:13
it's
39:14
really
39:14
important
39:14
when
39:15
you
39:15
think
39:15
of,
39:16
and
39:16
I
39:16
hope
39:16
that
39:16
this,
39:17
this
39:17
helps
39:17
with
39:17
attrition
39:18
in
39:18
these
39:19
jobs
39:19
early
39:20
on,
39:20
like
39:20
the
39:20
early
39:21
store
39:21
associate
39:21
jobs.
39:22
It
39:22
gives
39:22
you
39:23
a
39:23
really
39:24
well
39:25
deserved
39:25
and
39:26
well
39:27
laid
39:27
out
39:28
career
39:28
path
39:28
for
39:29
something
39:29
to
39:29
aspire
39:29
working.
39:30
Yes.
39:30
Like
39:31
if
39:31
I
39:32
know
39:32
as
39:33
an
39:33
associate
39:34
starting
39:34
as
39:34
a
39:34
16
39:35
year
39:35
old
39:35
begging
39:35
groceries
39:36
like
39:36
you
39:36
know,
39:36
Doug
39:37
McMillan
39:37
did
39:38
or
39:38
stocking
39:39
shelves
39:39
like
39:40
that,
39:40
that
39:40
I
39:41
have
39:41
a
39:41
career
39:41
path
39:41
that
39:42
could
39:42
net
39:42
me
39:42
up
39:42
to
39:43
$600,000
39:44
a
39:44
year.
39:44
Like
39:45
I
39:45
am
39:45
loyal
39:46
to
39:46
this
39:46
company,
39:47
I
39:47
am
39:47
working
39:47
hard
39:48
and
39:48
I
39:48
am
39:48
invested
39:49
in
39:49
making
39:49
sure
39:49
that
39:49
this
39:50
is
39:50
a
39:50
great
39:50
experience
39:51
overall.
39:52
So
39:53
I
39:53
think
39:53
it's
39:53
a
39:54
really,
39:54
really
39:55
brilliant
39:55
move
39:55
by
39:55
Walmart
39:56
and
39:56
I
39:56
think
39:57
just
39:57
goes
39:57
to
39:57
show
39:58
how
39:58
they
39:59
are
39:59
able
39:59
to
39:59
move
40:00
so
40:00
quickly
40:01
and
40:01
how
40:01
they've
40:02
come
40:02
to
40:02
the
40:02
position
40:02
that
40:03
they're
40:03
in
40:03
because
40:03
the
40:03
hierarchy
40:04
BS
40:05
is
40:05
not
40:05
present.
40:06
They're
40:06
making
40:07
sure
40:07
that
40:07
everybody's
40:08
value
40:09
is
40:09
being
40:11
appropriately
40:12
rewarded
40:13
in
40:13
the
40:13
organization.
40:14
It's
40:14
not
40:14
about
40:14
you
40:15
know,
40:15
who's
40:15
friends
40:15
with
40:15
who
40:16
or
40:16
you
40:16
know,
40:16
what,
40:17
what
40:17
relationships
40:18
are
40:18
in
40:18
which
40:18
places.
40:19
It's
40:19
do
40:19
the
40:19
work
40:20
and
40:20
you
40:20
get
40:21
paid
40:21
for
40:21
it
40:21
and
40:21
we
40:21
treat
40:22
people
40:22
equally
40:22
here
40:23
and
40:23
I
40:23
think
40:23
that's
40:23
really
40:23
impressive.
40:25
Yeah,
40:25
no,
40:25
100%.
40:26
And
40:26
I
40:26
gotta
40:26
ask
40:27
you
40:27
because
40:27
I'm
40:27
sure
40:27
our
40:27
listeners
40:28
are
40:28
wondering,
40:28
and
40:28
I'm
40:28
wondering
40:29
too,
40:29
what
40:29
did
40:29
you
40:30
mean
40:30
about
40:30
the
40:30
Target
40:31
bathrooms?
40:32
What
40:32
was,
40:32
what
40:32
was
40:32
that
40:33
about?
40:33
I
40:33
didn't
40:33
understand,
40:33
I
40:34
didn't
40:35
like
40:35
when.
40:35
We
40:35
were
40:35
building
40:36
store
40:36
of
40:36
the
40:36
future
40:37
and
40:37
we
40:37
were
40:37
trying
40:37
to
40:38
look
40:38
at
40:38
like
40:38
what
40:39
should
40:39
the
40:39
store
40:39
bathrooms
40:40
be
40:40
like
40:40
for
40:41
associates,
40:42
you
40:42
know,
40:42
at
40:43
a
40:43
Target
40:43
store
40:44
versus
40:44
what
40:44
the
40:45
bathrooms
40:45
were
40:45
like
40:45
at
40:45
the
40:46
headquarters.
40:46
And
40:46
that
40:47
was
40:47
always
40:47
like
40:47
a
40:47
sticking
40:48
point
40:48
was
40:49
you
40:49
know,
40:49
headquarters
40:50
has
40:50
the,
40:50
have
40:50
these
40:50
like,
40:51
like
40:51
beautiful
40:52
floor
40:52
to
40:52
ceiling
40:53
like
40:54
windows
40:54
and
40:55
you
40:55
know,
40:55
state
40:55
of
40:55
the
40:56
art
40:56
beautiful.
40:56
It
40:56
was
40:57
like
40:57
walking
40:57
into
40:57
a
40:57
casino
40:58
or
40:58
a
40:58
hotel
40:59
room
40:59
at
40:59
headquarters
41:00
to
41:00
go
41:00
into
41:00
the
41:00
bathrooms
41:01
and
41:01
there's
41:01
all
41:01
these
41:02
like
41:02
Paper
41:03
products
41:03
and
41:03
feminine
41:04
products
41:04
out
41:05
for
41:05
people.
41:05
And
41:05
then
41:05
you
41:06
go
41:06
into
41:06
the
41:06
store's
41:06
bathrooms
41:07
and
41:07
it's
41:07
like
41:08
you're
41:08
lucky
41:08
if
41:08
you
41:08
got
41:09
a
41:09
toilet
41:09
that's
41:09
not
41:10
clogged
41:10
that
41:10
you're
41:10
gonna
41:11
sit
41:11
down
41:11
at.
41:12
And
41:12
it
41:12
was
41:13
just
41:13
things
41:13
like
41:13
that
41:14
that
41:14
we
41:14
were
41:15
really
41:15
working
41:15
to
41:15
invest
41:16
in
41:16
at
41:16
Target.
41:17
And
41:17
you've
41:17
seen
41:18
some
41:18
of
41:18
that
41:18
in
41:18
the
41:18
store
41:19
remodels
41:19
that
41:19
have
41:19
happened
41:20
certainly
41:20
since
41:21
then.
41:21
But
41:21
just
41:22
like
41:22
we
41:22
wanted
41:22
to
41:22
make
41:22
the
41:23
experience
41:23
as
41:24
good
41:24
as
41:25
we
41:25
had
41:25
it
41:25
at
41:25
headquarters
41:26
for
41:26
the
41:27
store,
41:27
the
41:27
regional
41:28
managers,
41:28
the
41:29
store
41:29
managers,
41:29
and
41:30
the
41:30
team
41:30
members
41:30
that
41:30
were
41:30
working
41:31
day
41:31
in
41:31
and
41:31
day
41:31
out,
41:32
there's
41:32
no
41:32
reason
41:32
they
41:32
shouldn't
41:32
have
41:33
those
41:33
things
41:33
too.
41:34
Yeah,
41:34
I
41:34
got
41:34
you.
41:35
So,
41:35
like,
41:35
yeah,
41:35
we
41:35
were.
41:35
I
41:36
remember
41:36
that.
41:36
Yeah,
41:36
we
41:36
were
41:36
asking
41:36
the
41:37
questions
41:37
like,
41:37
should
41:37
we
41:38
have
41:38
a
41:38
shower
41:38
for
41:38
the
41:38
people
41:39
that
41:39
bike
41:39
to
41:39
work
41:40
or
41:40
kids
41:40
to
41:40
work?
41:41
You
41:41
know,
41:41
like
41:41
we
41:41
do
41:41
at
41:41
headquarters,
41:42
you
41:42
know.
41:42
Right.
41:43
You
41:43
know,
41:43
we
41:43
were
41:43
just
41:43
talking
41:44
about
41:44
it
41:44
at
41:44
that
41:44
time,
41:44
but
41:45
like,
41:45
those
41:45
are
41:45
the
41:45
types
41:45
of
41:46
things
41:46
that
41:46
we're
41:46
saying.
41:46
Yeah,
41:47
that's
41:47
interesting.
41:47
I
41:48
had
41:48
forgotten
41:48
about
41:48
that.
41:49
Thanks
41:49
for.
41:49
Thanks
41:49
for.
41:50
Thanks
41:50
for
41:50
taking
41:50
me
41:51
down
41:51
memory
41:51
lane.
41:51
And
41:52
I
41:52
was,
41:52
oh
41:52
my
41:52
God,
41:53
anytime,
41:53
Chris.
41:54
You
41:54
know,
41:54
I'd
41:54
do
41:54
that.
41:55
All
41:55
right,
41:55
well,
41:55
let's
41:55
get
41:56
people
41:56
out
41:56
of
41:56
here.
41:57
Let's
41:57
go
41:57
to
41:57
the
41:57
lightning
41:58
round.
41:58
Chris,
41:58
question
41:59
number
41:59
one
41:59
is
41:59
for
41:59
you.
42:01
I
42:01
was
42:01
so
42:02
excited
42:02
when
42:02
I
42:02
read
42:02
this
42:02
because
42:03
it's
42:03
perfect
42:03
for
42:03
you.
42:04
Weight
42:06
in
42:06
the
42:06
UK
42:06
has
42:07
made
42:07
two
42:07
major
42:07
changes
42:08
in
42:08
an
42:08
effort
42:09
to
42:09
steal
42:09
back
42:09
share
42:09
from
42:10
competitors.
42:10
Number
42:11
one,
42:11
they've
42:11
reintroduced
42:12
their
42:12
free
42:13
daily
42:13
tea
42:14
or
42:14
Americano
42:14
program
42:15
for
42:15
all
42:15
loyalty
42:16
members
42:16
with
42:16
or
42:16
without
42:17
purchase.
42:18
And
42:19
back
42:20
by
42:20
popular
42:20
demand,
42:21
Chris
42:21
is
42:22
their
42:22
original
42:22
recipe
42:23
ultra
42:23
plush
42:24
toilet
42:24
paper.
42:25
They
42:25
have
42:25
brought
42:26
it
42:26
back
42:26
after
42:26
your
42:26
customers
42:27
complained
42:27
that
42:27
the
42:28
new
42:28
toilet
42:29
paper
42:29
was
42:29
two
42:30
plies
42:30
too
42:31
thin.
42:31
Which
42:32
is
42:32
of
42:32
greater
42:32
value
42:33
to
42:33
you,
42:33
Chris,
42:33
and
42:34
would
42:34
get
42:34
you
42:34
to
42:35
shop
42:35
at
42:35
a
42:35
weight
42:35
rose
42:36
more
42:36
ply
42:37
in
42:37
the
42:37
paper
42:37
or
42:38
a
42:38
free
42:39
morning
42:39
Americano.
42:41
Oh,
42:42
man,
42:43
you
42:43
do
42:43
know
42:43
me
42:44
so
42:44
well.
42:44
100%.
42:45
It's
42:45
the.
42:45
The
42:45
two
42:46
ply
42:46
toilet
42:46
paper.
42:47
And
42:48
letting.
42:48
Letting
42:49
the
42:49
listeners
42:49
in
42:49
on
42:49
a
42:50
little
42:50
secret.
42:50
I
42:50
now
42:51
travel
42:51
with
42:51
my
42:51
own
42:51
toilet
42:52
paper.
42:52
I'm
42:52
bringing
42:52
my
42:52
own
42:54
down
42:55
to
42:55
Florida
42:55
because
42:56
I.
42:56
I
42:56
need
42:56
the
42:56
extra
42:57
play.
42:58
My
42:58
tushy
42:59
needs
42:59
some
42:59
cushy.
43:00
And
43:00
that's
43:00
basically
43:00
what
43:00
I
43:01
would
43:01
say
43:01
we
43:01
were.
43:02
You
43:02
guys,
43:02
this
43:02
is
43:03
a
43:03
taste
43:04
of
43:04
life
43:05
on
43:05
the
43:05
road
43:05
with
43:05
Chris
43:06
and
43:06
myself.
43:07
Chris,
43:07
we
43:07
were
43:08
walking
43:08
off
43:08
the
43:08
plane,
43:09
we
43:09
stopped
43:09
at
43:10
the
43:10
bathroom
43:10
and
43:10
Chris,
43:10
like,
43:10
do
43:11
you
43:11
hands
43:11
a
43:12
roll
43:12
of
43:12
toilet
43:12
paper?
43:12
Do
43:13
you
43:13
want
43:13
some
43:14
toilet
43:14
paper
43:14
to
43:14
bring
43:15
into
43:15
the
43:15
bathroom?
43:15
In
43:16
case
43:16
you
43:16
need
43:16
it,
43:17
while
43:17
very
43:18
thoughtful,
43:18
was
43:19
one
43:19
of
43:19
the
43:19
memories
43:20
that
43:20
I
43:20
will
43:20
absolutely
43:21
not
43:21
forget.
43:22
That
43:22
was
43:22
standing
43:23
next
43:23
to
43:23
the
43:23
Wetzel's
43:24
Pretzels
43:24
in
43:24
the
43:24
middle
43:25
of
43:25
Las
43:25
Vegas
43:26
or
43:27
New
43:27
York
43:27
Airport.
43:28
I
43:28
did
43:28
not
43:28
need
43:29
that
43:29
ply,
43:29
but
43:29
I'm
43:30
glad
43:30
that
43:30
you
43:30
have
43:30
it,
43:30
Chris.
43:31
And
43:31
Weight
43:31
Roast
43:31
has
43:32
got
43:32
you.
43:32
They've
43:32
got
43:32
your
43:32
back.
43:33
You
43:33
don't.
43:33
You
43:34
don't
43:34
ever
43:34
want
43:34
to
43:34
be
43:34
short
43:34
of
43:35
ply.
43:35
And.
43:35
All
43:36
right.
43:36
Oreo
43:36
has
43:37
released
43:37
limited
43:37
edition
43:38
post
43:38
Malone
43:39
Oreo
43:39
cookies
43:40
that
43:40
feature
43:40
a
43:40
first
43:41
of
43:41
a
43:41
kind,
43:42
first
43:42
of
43:42
its
43:43
kind
43:43
swirled
43:43
cream
43:44
that
43:44
is
43:45
two
43:45
different
43:45
flavored
43:46
cookies
43:46
and
43:47
embossments
43:47
that
43:48
represent
43:48
Malone's
43:49
music
43:49
career.
43:50
Okay,
43:51
Stretch.
43:52
Yeah.
43:52
Right.
43:53
All
43:53
right.
43:53
Okay.
43:54
And.
43:54
But
43:54
it
43:54
made
43:55
me
43:55
think.
43:55
And
43:55
if
43:55
you
43:56
were
43:56
to
43:56
design
43:56
your
43:57
own
43:57
Oreo,
43:58
what
43:59
color
43:59
would
43:59
the
43:59
filling
44:00
and
44:00
the
44:00
cookie
44:01
each
44:01
be?
44:02
Oh,
44:02
this
44:02
was
44:03
a
44:03
fun
44:03
experiment
44:04
to
44:04
think
44:04
about,
44:04
Chris.
44:05
It
44:06
would
44:06
be
44:06
an
44:06
Oreo
44:06
cookie
44:07
on
44:07
top
44:07
and
44:07
a
44:08
chewy
44:08
Chips
44:08
Ahoy
44:09
on
44:09
the
44:09
bottom
44:10
with
44:10
a
44:10
vanilla
44:10
bean
44:11
cream
44:11
center.
44:12
Like,
44:12
I
44:12
want
44:12
a
44:12
little
44:13
Oreo,
44:13
a
44:14
little
44:14
chocolate
44:14
chip,
44:15
and
44:15
then
44:15
a
44:15
cream
44:16
center.
44:16
So
44:16
it'd
44:16
be
44:17
not
44:17
possible
44:17
to
44:18
produce
44:19
Oreo.
44:20
The
44:21
testing
44:21
would
44:21
not
44:21
go
44:22
well
44:22
with
44:22
a
44:22
Walmart
44:22
group,
44:23
because
44:23
I
44:23
think
44:23
so.
44:23
It'd
44:23
be
44:23
like
44:24
multiple
44:24
cookies
44:24
with
44:25
the
44:25
cream
44:25
filling
44:25
in
44:26
the
44:26
center.
44:26
That's.
44:26
That's.
44:26
It
44:27
would
44:27
be
44:27
like
44:27
an
44:27
Oreo
44:27
top
44:28
cream
44:29
filling.
44:29
And
44:29
then
44:30
instead
44:30
of
44:30
another
44:30
Oreo
44:31
chocolate
44:31
cookie,
44:32
it
44:32
would
44:32
be
44:32
like
44:32
a
44:33
chewy
44:33
Chips
44:34
Ahoy
44:34
or
44:34
like
44:34
a
44:35
chocolate
44:35
chip
44:35
cookie
44:36
on
44:36
the
44:36
bottom.
44:37
Well,
44:37
maybe,
44:38
maybe,
44:38
maybe
44:39
the
44:39
makers
44:39
of
44:39
Oreo
44:40
should
44:40
test
44:40
that
44:40
through
44:41
Walmart's
44:41
new
44:41
scintilla.
44:42
That's
44:43
what
44:43
I
44:43
said.
44:43
It
44:43
would
44:43
not
44:44
test
44:44
well,
44:44
so
44:44
don't
44:45
do
44:45
it.
44:45
That's
44:45
not
44:46
the.
44:46
Not
44:46
the
44:46
road
44:46
you
44:47
should
44:47
be
44:47
going
44:47
down.
44:48
But,
44:48
Chris,
44:49
I'm
44:49
going
44:49
to
44:49
go
44:49
to
44:49
you
44:50
next.
44:50
According
44:50
to
44:51
fashion
44:51
editors,
44:52
house
44:52
slippers
44:53
are
44:53
a
44:53
footwear
44:53
trend
44:54
to
44:54
watch
44:54
in
44:54
2025.
44:56
As
44:56
a
44:56
house
44:56
shoe
44:56
aficionado,
44:58
what
44:58
are
44:58
the
44:59
critical
44:59
components
45:00
of
45:00
a
45:00
good
45:01
house
45:01
shoe
45:01
or
45:02
slipper?
45:03
Man,
45:03
you're
45:03
bringing
45:04
out
45:04
all
45:04
the
45:04
skeletons
45:05
in
45:05
the
45:05
wall.
45:05
I
45:05
am
45:06
like,
45:06
all
45:06
my
45:06
little
45:07
office
45:08
the
45:08
news.
45:09
It's
45:09
not
45:09
me.
45:09
Yeah,
45:10
right,
45:10
right.
45:10
Yeah.
45:10
I'm
45:10
sure
45:11
it
45:11
wasn't
45:11
directed
45:11
at
45:11
me
45:11
at
45:12
all.
45:12
Yes.
45:12
For
45:12
those.
45:13
For
45:13
those.
45:14
For
45:14
those
45:14
that
45:14
are
45:14
listening,
45:15
I
45:15
always
45:15
wear
45:15
my
45:16
shoes
45:16
in
45:16
the
45:16
house.
45:16
I
45:17
never
45:17
walk
45:17
around
45:17
my
45:17
house
45:18
barefoot,
45:18
so.
45:18
And
45:19
to
45:19
answer
45:19
your
45:20
question,
45:20
a
45:20
good
45:21
pair
45:21
of
45:21
house
45:21
shoes
45:22
or
45:22
slippers
45:23
have
45:23
to
45:23
be
45:23
sturdy.
45:24
They
45:25
have
45:25
to
45:25
stand
45:25
up
45:25
to
45:26
stepping
45:26
on
45:26
a
45:26
Lego
45:27
or
45:27
bumping
45:28
your
45:28
toe
45:28
into
45:29
a
45:29
side
45:29
table,
45:30
both
45:31
of
45:31
which
45:31
that
45:32
I've
45:32
done
45:32
many
45:32
times,
45:33
and
45:33
it
45:33
hurts.
45:35
So
45:36
these
45:36
have
45:36
to
45:36
have,
45:36
like,
45:37
shoe
45:37
bottoms.
45:38
You're
45:38
talking
45:38
like,
45:39
solid
45:39
bottoms.
45:39
Like
45:39
an
45:40
ugg.
45:40
See,
45:40
you
45:41
know
45:41
where
45:41
I'm
45:41
going
45:41
next.
45:42
Yes.
45:42
Because
45:42
this
45:43
is
45:43
why
45:43
I'm
45:43
actually
45:44
not
45:44
a
45:44
slipper
45:45
fan
45:45
at
45:45
all.
45:46
Okay.
45:47
I
45:47
always
45:47
just
45:47
prefer
45:48
to
45:48
wear
45:48
my
45:48
shoes
45:49
in
45:49
the
45:50
house.
45:51
Yes,
45:51
that
45:52
makes
45:52
sense.
45:52
Do
45:52
you
45:53
go
45:53
out
45:53
in
45:53
the
45:53
garage
45:54
with
45:54
your
45:54
shoes
45:54
on?
45:55
Like.
45:55
Or
45:55
outside
45:56
to
45:56
get,
45:56
like,
45:56
the
45:57
paper
45:57
or
45:57
something
45:57
or
45:58
take
45:58
the
45:58
garbage
45:58
out
45:59
with
45:59
your
45:59
house
45:59
shoes
45:59
on
46:00
or
46:00
they
46:00
just
46:00
stay
46:01
in
46:01
the
46:01
house?
46:01
House.
46:03
I
46:03
don't
46:03
change
46:04
my
46:04
shoes
46:04
when
46:04
I
46:04
come
46:05
in
46:05
from
46:05
the
46:05
outside.
46:06
I
46:06
just
46:07
feel
46:07
like
46:07
this
46:07
is
46:07
a
46:07
Mr.
46:08
Rogers
46:08
situation.
46:09
Like,
46:09
Chris
46:10
puts
46:10
his
46:10
outside
46:11
shoes
46:11
on
46:11
to
46:11
go
46:11
take
46:11
the
46:12
garbage
46:12
out
46:12
and
46:12
then
46:12
puts
46:13
his
46:13
inside
46:13
shoes
46:14
back
46:14
on.
46:14
No,
46:14
they're.
46:15
They're
46:15
in
46:15
and
46:15
out.
46:16
Doesn't
46:17
matter.
46:17
If
46:17
I
46:17
were.
46:18
If
46:18
I
46:18
were
46:18
staying.
46:19
Like,
46:19
for
46:19
example,
46:19
if
46:19
I
46:19
was
46:20
staying
46:20
at
46:20
a
46:20
long
46:20
time
46:21
at
46:21
your
46:21
house,
46:22
I
46:22
would
46:22
bring
46:22
a
46:22
pair
46:23
of
46:23
house
46:23
shoes
46:23
because
46:24
I
46:24
know
46:24
you
46:24
require
46:24
people
46:25
to
46:25
take
46:25
their
46:25
shoes
46:26
off.
46:26
If
46:26
I
46:26
was
46:26
staying
46:27
at
46:27
your
46:27
house
46:27
for
46:27
more
46:27
than
46:27
one
46:28
night,
46:28
I
46:28
would
46:28
bring
46:29
a
46:29
pair
46:29
of
46:29
shoes
46:29
and
46:30
I'd
46:30
be
46:30
like,
46:30
these
46:30
have
46:30
been
46:31
disinfected.
46:31
I
46:32
haven't
46:32
brought
46:32
them
46:32
outside.
46:33
They're
46:33
only
46:34
going
46:34
to
46:34
be
46:34
worn
46:34
in
46:34
your
46:35
house,
46:35
so
46:35
you
46:36
don't
46:36
need
46:36
to
46:36
freak
46:36
out.
46:37
And
46:37
then
46:37
I
46:37
would
46:37
take
46:38
them.
46:38
I
46:38
would
46:38
put
46:38
them
46:38
on
46:39
when
46:39
I
46:39
came
46:39
in
46:39
the
46:39
door.
46:40
But
46:40
several
46:40
years
46:41
of
46:41
New
46:41
York
46:41
living
46:42
will
46:42
do
46:42
that
46:42
to
46:42
you.
46:43
You
46:43
don't.
46:43
You
46:43
step
46:43
in
46:44
stuff
46:44
in
46:44
New
46:44
York
46:44
that
46:44
you
46:45
don't
46:45
want
46:45
walking
46:45
around
46:45
your
46:46
house.
46:46
That's.
46:46
That
46:46
ruined
46:47
me
46:47
forever.
46:48
I
46:48
will
46:49
say
46:49
I
46:49
do
46:49
have
46:49
house
46:49
shoes
46:50
for
46:50
the
46:50
winter
46:50
in
46:50
Minnesota,
46:51
though,
46:51
because,
46:51
you
46:51
know.
46:52
Okay.
46:52
You
46:52
know,
46:52
because
46:53
you
46:53
get.
46:53
Sometimes
46:53
you
46:54
have
46:54
to
46:54
take
46:54
those
46:54
shoes
46:54
off
46:55
because
46:55
there's
46:55
just
46:56
so
46:56
much
46:56
ice
46:56
and
46:56
salt
46:57
and
46:57
everything.
46:58
Snow
46:58
on
46:58
the
46:58
bottom
46:58
of
46:58
them.
46:59
But
46:59
I
46:59
love
46:59
that.
46:59
Yeah,
47:00
any.
47:00
Yeah,
47:01
yeah,
47:01
yeah.
47:02
All
47:02
right,
47:02
now
47:02
you
47:02
get
47:02
a
47:02
little
47:03
insight
47:03
into
47:03
me,
47:03
folks.
47:04
All
47:04
right,
47:04
the
47:05
tr.
47:05
Now
47:05
you
47:06
get
47:06
a
47:06
little
47:06
insight
47:06
into
47:06
an.
47:07
The
47:07
trailer
47:08
for
47:08
White
47:08
Lotus
47:08
Season
47:09
3
47:09
debuted
47:10
this
47:10
week,
47:10
and
47:10
from
47:11
the
47:11
looks
47:11
of
47:11
it,
47:11
an.
47:12
Yoga
47:12
is
47:13
very
47:13
much
47:13
front
47:14
and
47:14
center.
47:15
As
47:15
someone
47:15
that
47:16
loves
47:16
yoga
47:16
and
47:17
goes
47:17
multiple
47:17
times
47:18
a
47:18
week,
47:18
if
47:18
I'm
47:18
not
47:18
mistaken.
47:19
Yes.
47:19
What
47:19
is
47:20
what?
47:20
I've
47:21
never
47:21
asked
47:21
you
47:21
this.
47:21
What
47:21
is
47:22
your
47:22
favorite
47:22
yoga
47:23
pose?
47:25
My
47:26
favorite
47:26
yoga
47:27
pose
47:27
is
47:28
not
47:28
really
47:29
a
47:29
pose.
47:29
It's
47:29
a
47:29
scorpion
47:30
stretch.
47:31
So
47:31
it's
47:31
like
47:32
you
47:32
lay
47:32
on
47:32
your
47:32
stomach,
47:33
you
47:33
thread
47:34
your.
47:34
Your
47:35
hand
47:35
through
47:36
your
47:36
other
47:36
hand
47:36
and
47:37
then
47:37
you
47:37
roll
47:38
back.
47:38
So
47:38
you
47:38
kind
47:38
of
47:39
are
47:39
like
47:39
splayed
47:40
out
47:40
and
47:40
it
47:40
just,
47:40
it's
47:41
a
47:41
really
47:41
good
47:42
back
47:42
and
47:42
shoulder
47:43
stretch
47:44
for
47:44
those
47:44
old
47:45
bones
47:45
that
47:46
these
47:46
days
47:47
you
47:47
just.
47:47
I
47:48
do
47:48
it
47:48
every
47:48
morning
47:48
almost
47:49
when
47:49
I
47:49
wake
47:49
up
47:49
so
47:50
I
47:50
can,
47:50
you
47:50
know,
47:51
not
47:51
that
47:51
fall
47:52
over
47:52
when
47:52
I
47:52
get
47:52
out
47:53
of
47:53
bed,
47:53
but
47:53
scorpion
47:54
stress.
47:54
So
47:54
you
47:54
should
47:54
give
47:55
it
47:55
a
47:55
try.
47:55
So,
47:56
so,
47:56
so
47:56
I
47:56
should
47:57
take
47:57
from
47:57
that.
47:57
You
47:57
like
47:57
a
47:57
good
47:58
splay?
47:58
You
47:58
like.
47:59
You
47:59
like
47:59
a
47:59
good.
47:59
Oh,
47:59
yeah.
48:00
You
48:00
like
48:00
to
48:00
be
48:00
played?
48:01
Yeah,
48:02
I
48:02
mean,
48:02
I'm
48:02
splayed.
48:03
I'm.
48:03
That's
48:03
kind
48:03
of.
48:04
I
48:04
splay
48:04
all
48:04
day.
48:05
That's
48:05
pretty
48:05
much
48:05
my.
48:06
My
48:06
MO
48:07
is
48:07
just
48:07
falling
48:08
over
48:08
somewhere.
48:09
And.
48:09
And,
48:09
yeah,
48:10
that's.
48:10
And
48:10
splaying.
48:11
Yeah,
48:11
that's
48:11
it.
48:12
Play
48:12
all
48:12
day
48:12
and
48:12
rose
48:13
all
48:13
day,
48:14
all
48:15
day.
48:16
Those
48:17
are
48:17
the
48:17
two
48:17
phrases
48:18
that
48:18
captured
48:18
my
48:18
business
48:19
part
48:19
of
48:19
very
48:19
well.
48:19
All
48:20
right.
48:20
Happy
48:20
birthday
48:21
today
48:21
to
48:21
Ed
48:22
Burns,
48:22
Heather
48:22
Graham,
48:23
and
48:23
to
48:23
the
48:23
1982
48:24
Beastmaster
48:25
himself,
48:26
Mark
48:26
Singer.
48:27
And
48:27
remember,
48:27
if
48:27
you
48:28
can
48:28
only
48:28
read
48:28
or
48:28
listen
48:28
to
48:28
one
48:29
retail
48:29
blog
48:29
in
48:29
the
48:29
business,
48:30
Make
48:30
It
48:30
Omnitok,
48:30
the
48:31
only
48:31
retail
48:31
outlet
48:32
run
48:32
by
48:32
two
48:32
former
48:33
executives
48:33
from
48:33
a
48:33
current
48:34
top
48:34
10
48:34
US
48:35
retailer.
48:35
Our
48:36
Fast
48:36
Five
48:36
podcast
48:36
is
48:37
the
48:37
quickest,
48:37
fastest
48:37
rundown
48:38
of
48:38
all
48:38
the
48:38
week's
48:38
top
48:39
news
48:39
in
48:39
our
48:39
daily
48:40
newsletter.
48:40
The
48:40
Retail
48:41
Daily
48:41
Minute
48:41
tells
48:42
you
48:42
all
48:42
you
48:42
need
48:42
to
48:42
know
48:42
each
48:43
day
48:43
to
48:43
stay
48:43
on
48:44
top
48:44
of
48:44
your
48:44
game
48:44
as
48:45
a
48:45
retail
48:45
executive
48:46
and
48:46
also
48:46
regularly
48:47
features
48:47
special
48:47
content
48:48
that
48:48
is
48:48
exclusive
48:48
to
48:49
us
48:49
and
48:49
that
48:50
Ann
48:50
and
48:50
I
48:50
take
48:50
a
48:50
heck
48:51
of
48:51
a
48:51
lot
48:51
of
48:51
pride
48:51
in
48:51
doing
48:52
just
48:52
for
48:52
you
48:52
and
48:53
Ann.
48:53
Did
48:53
you
48:53
know
48:53
that
48:54
as
48:54
of
48:54
today,
48:54
according
48:55
to
48:55
Feedspot,
48:55
we
48:55
now
48:56
have
48:56
three
48:56
podcasts
48:57
in
48:57
the
48:57
top
48:58
50
48:58
podcasts
48:59
offering
48:59
retail.
49:00
Yes,
49:00
the
49:00
Retail
49:01
Daily
49:01
Minute,
49:01
Retail
49:02
Fast
49:02
Five,
49:02
and
49:03
of
49:03
course,
49:03
our
49:04
channel,
49:05
Amitalk
49:06
Retail.
49:06
Thanks
49:07
as
49:07
always
49:07
for
49:07
listening
49:07
in.
49:08
Please
49:08
remember
49:08
to
49:08
like
49:09
and
49:09
leave
49:09
us
49:09
a
49:09
review
49:09
wherever
49:10
you
49:10
happen
49:10
to
49:10
listen
49:10
to
49:11
your
49:11
podcast
49:11
us
49:11
or
49:11
on
49:12
YouTube.
49:12
You
49:12
can
49:12
follow
49:13
us
49:13
today
49:13
by
49:13
simply
49:13
going
49:14
to
49:14
YouTube.
49:15
Com
49:16
omnitalk
49:17
retail.
49:17
So
49:17
until
49:18
next
49:18
week,
49:18
on
49:18
behalf
49:19
of
49:19
all
49:19
of
49:19
us
49:20
at
49:20
Omnitalk
49:20
Retail,
49:21
on
49:21
behalf
49:21
of
49:21
Anne
49:21
and
49:22
myself,
49:22
as
49:22
always,
49:23
be
49:23
careful
49:23
out
49:23
there.