Latest / Omni Talk Retail / Converse In Crisis, Target Trials ChatGPT Ads & C-Stores Push The In-Store AI Envelope | Fast Five

Transcript

Converse In Crisis, Target Trials ChatGPT Ads & C-Stores Push The In-Store AI Envelope | Fast Five · Omni Talk Retail

0:01
This
0:01
episode
0:01
of
0:01
The
0:01
OmniTalk
0:02
Retail
0:02
Fast
0:03
5
0:03
is
0:03
brought
0:03
to
0:03
you
0:03
by
0:04
the
0:04
A
0:04
and
0:04
M
0:04
Consumer
0:05
and
0:05
Retail
0:05
Group.
0:05
The
0:05
AM
0:06
Consumer
0:06
and
0:06
Retail
0:07
Group
0:07
is
0:07
a
0:07
management
0:07
consulting
0:08
firm
0:08
that
0:08
tackles
0:09
the
0:09
most
0:09
complex
0:10
challenges
0:10
and
0:10
advances
0:11
its
0:11
clients,
0:12
people
0:12
and
0:12
communities
0:13
toward
0:13
their
0:14
maximum
0:14
potential.
0:15
CRG
0:16
brings
0:16
the
0:16
experience,
0:16
tools
0:17
and
0:17
operator
0:18
like
0:18
pragmatism
0:19
to
0:19
help
0:19
retailers
0:19
and
0:20
consumer
0:20
products
0:20
companies
0:21
be
0:21
on
0:21
the
0:21
right
0:22
side
0:22
of
0:22
disruption
0:23
and
0:24
Miracle,
0:24
the
0:25
catalyst
0:25
of
0:25
Commerce.
0:26
Over
0:26
450
0:27
retailers
0:28
are
0:28
opening
0:28
new
0:29
revenue
0:29
streams
0:29
with
0:29
marketplaces,
0:30
dropship
0:31
and
0:31
retail
0:31
media
0:32
and
0:32
succeeding
0:33
with
0:33
Miracle,
0:34
you
0:34
can
0:34
unlock
0:34
more
0:34
products,
0:35
more
0:35
partners
0:35
and
0:36
more
0:36
profits
0:36
without
0:37
the
0:37
heavy
0:37
lifting.
0:38
So
0:38
what's
0:38
holding
0:38
you
0:39
back?
0:39
Visit
0:39
Miracle.com
0:40
to
0:40
learn
0:41
more.
0:41
That's
0:41
M
0:41
I
0:42
R
0:42
A
0:42
K
0:43
L.com
0:44
and
0:44
Corso.
0:45
Your
0:46
stores
0:46
are
0:46
full
0:46
of
0:46
data,
0:47
but
0:47
are
0:47
your
0:48
teams
0:48
acting
0:48
on
0:48
it?
0:49
Corso
0:50
turns
0:50
retail
0:50
data
0:50
into
0:51
personalized
0:51
daily
0:52
to
0:52
dos
0:52
that
0:52
drive
0:53
sales,
0:53
reduce
0:53
waste
0:54
and
0:54
improve
0:55
execution.
0:56
No
0:56
fluff,
0:56
just
0:57
action.
0:57
Help
0:58
your
0:58
managers
0:58
focus
0:59
on
0:59
what
0:59
matters
0:59
most.
1:00
Visit
1:00
corso.com
1:01
to
1:01
see
1:02
Intelligent
1:02
management
1:03
in
1:03
motion
1:04
and
1:04
Infios.
1:05
At
1:05
Infios,
1:06
they
1:06
unite
1:06
warehousing,
1:07
transportation
1:07
and
1:08
order
1:08
management
1:08
into
1:09
a
1:09
seamless,
1:09
adaptable
1:10
network.
1:11
Infios
1:11
helps
1:11
you
1:12
stay
1:12
ahead
1:12
from
1:12
promise
1:13
to
1:13
delivery
1:14
and
1:14
every
1:14
step
1:14
in
1:15
between.
1:15
To
1:16
learn
1:16
more,
1:16
visit
1:17
infios.com
1:18
and
1:19
Ocampo
1:19
Capital.
1:20
Ocampo
1:20
Capital
1:20
is
1:21
a
1:21
venture
1:21
capital
1:21
firm
1:22
founded
1:22
by
1:22
retail
1:23
executives
1:23
with
1:24
the
1:24
aim
1:24
of
1:24
helping
1:25
early
1:25
stage
1:25
consumer
1:26
businesses
1:26
succeed
1:27
through
1:27
investment
1:28
and
1:28
operational
1:28
support.
1:29
Learn
1:30
more@ocampo
1:31
capital.com
1:33
and
1:33
finally,
1:33
Voloc
1:34
Volock
1:34
is
1:34
a
1:35
proven
1:35
E
1:35
grocery
1:36
technology
1:36
built
1:36
by
1:36
grocers
1:37
for
1:37
grocers.
1:38
Exactly
1:39
the
1:39
type
1:39
of
1:39
technology
1:39
we
1:40
like
1:40
here
1:40
at
1:40
Omnitalk.
1:41
They
1:41
unite
1:42
proprietary
1:42
software
1:43
with
1:43
right
1:43
size
1:43
automation
1:44
to
1:44
make
1:44
same
1:45
day
1:45
delivery
1:45
profitable.
1:46
To
1:47
learn
1:47
more
1:47
visit
1:47
veloc.com
1:48
that's
1:49
V
1:49
E
1:49
L
1:50
O
1:50
q.com
1:52
hello,
1:53
you
1:53
are.
1:53
Listening
1:53
to
1:54
Omnitalk's
1:54
Retail
1:55
Fast
1:55
Five.
1:55
Ranked
1:55
in
1:56
the
1:56
top
1:56
10%
1:56
of
1:56
all
1:57
podcasts
1:57
globally
1:57
and
1:58
currently
1:58
the
1:58
only
1:58
retail
1:59
podcast
2:00
ranked
2:00
in
2:00
the
2:00
top
2:00
100
2:01
of
2:01
all
2:01
business
2:01
podcasts
2:02
on
2:02
Apple
2:02
Podcasts
2:03
the.
2:03
Retail
2:03
Fast
2:04
Five
2:04
and
2:04
is
2:05
the
2:05
podcast.
2:05
That
2:05
we
2:05
hope
2:05
makes
2:06
you
2:06
feel
2:06
a
2:06
little
2:06
smarter
2:07
but
2:07
most
2:07
importantly
2:08
a
2:08
little
2:08
happier
2:09
each
2:09
week
2:09
too.
2:10
Today
2:10
is
2:10
February
2:11
18,
2:12
2026.
2:12
I'm
2:13
one
2:13
of
2:13
your
2:13
hosts,
2:13
Anne
2:13
Mazinga.
2:14
And
2:14
I'm
2:14
Chris
2:15
Walton.
2:15
And
2:16
we're
2:16
here
2:16
once
2:16
again
2:17
to
2:17
bring
2:17
you
2:17
all
2:17
the
2:17
top
2:18
headlines
2:18
making
2:18
waves
2:19
in
2:19
the
2:19
world
2:19
of
2:20
Omni
2:20
Channel
2:20
retailing.
2:21
And
2:21
joining
2:21
us
2:22
again
2:22
today
2:23
for
2:23
this
2:23
show
2:24
is
2:24
J
2:24
Recruiting
2:25
Services
2:25
founder
2:26
and
2:26
CEO
2:27
back
2:27
for
2:27
her
2:28
second
2:28
appearance.
2:29
We
2:29
are
2:29
welcoming
2:30
the
2:30
lovely
2:31
Jen
2:31
Hahn.
2:32
Jen,
2:33
we're
2:33
so
2:33
great
2:33
to
2:33
have
2:33
you.
2:34
I'm
2:34
excited
2:34
because
2:35
I
2:35
get
2:35
to
2:35
join
2:36
on
2:37
this
2:37
podcast.
2:37
But
2:38
let's
2:39
start
2:39
off
2:40
just
2:40
giving
2:40
those
2:41
of
2:41
us
2:41
who
2:41
maybe
2:42
were
2:42
on
2:42
vacation
2:43
last
2:43
time
2:43
you
2:43
were
2:43
here
2:44
or,
2:44
or
2:45
joining
2:45
and
2:46
meeting
2:46
you
2:46
for
2:46
the
2:46
first
2:46
time,
2:47
give
2:47
us
2:47
a
2:47
little
2:48
bit
2:48
of
2:48
your
2:48
background
2:48
and,
2:49
and
2:49
how
2:49
you're
2:49
here
2:50
to
2:50
help
2:50
us
2:50
out
2:50
at
2:50
amitalk
2:51
today.
2:51
Well,
2:52
thanks
2:52
for
2:52
having
2:52
me
2:52
and,
2:53
and
2:53
thank
2:53
you
2:53
for
2:53
joining
2:54
us
2:54
because
2:54
it
2:54
was
2:55
very
2:55
hard
2:55
to,
2:56
to
2:56
be
2:56
in
2:56
your
2:57
shoes
2:57
last
2:57
time.
2:58
So
2:58
I
2:58
appreciate
2:59
that
2:59
it's
2:59
a
2:59
full
2:59
crew
3:00
today.
3:01
Yeah.
3:01
So
3:01
J
3:02
Recruiting
3:02
services.
3:02
We
3:03
are
3:03
niched
3:04
in
3:04
and
3:04
around
3:05
the
3:05
retail
3:06
industry
3:06
is
3:06
what
3:06
we
3:06
say.
3:07
So
3:07
we're
3:07
a
3:08
firm
3:09
and
3:09
we
3:09
serve
3:09
retailers
3:10
anywhere
3:10
from
3:11
small
3:11
to,
3:11
let's
3:12
say
3:12
they
3:12
have
3:12
a
3:12
handful
3:13
of
3:13
U.S.
3:13
locations
3:14
to
3:14
2,500
3:15
plus
3:15
U.S.
3:16
locations.
3:17
But
3:17
when
3:17
we
3:18
say
3:18
in
3:18
and
3:18
around
3:18
retail,
3:19
what
3:19
we
3:19
mean
3:20
by
3:20
that
3:20
is
3:20
we
3:20
also
3:21
work
3:21
with
3:21
vendor
3:21
partners.
3:22
So
3:22
manufacturing,
3:23
distribution,
3:24
We've
3:25
worked
3:25
with
3:25
SaaS
3:25
products.
3:26
Right.
3:26
Anyone
3:27
that's
3:27
selling
3:27
into
3:28
retail,
3:28
they'll
3:29
work
3:29
with
3:29
us
3:29
to
3:29
build
3:29
their
3:30
executive
3:31
teams
3:31
or
3:31
their
3:31
sales
3:32
teams
3:32
as
3:32
well
3:33
because
3:34
of
3:34
our
3:34
niche
3:35
in
3:35
the
3:35
space
3:35
and
3:35
understanding
3:36
the
3:36
industry.
3:37
So
3:38
that's
3:38
what
3:38
we
3:38
do.
3:38
I
3:39
have
3:39
a
3:39
little
3:39
bit
3:39
of
3:39
retail
3:40
background
3:40
myself.
3:40
That's
3:41
where
3:41
I
3:41
started.
3:42
And
3:42
we
3:42
say
3:43
that
3:43
our
3:43
whole
3:43
team
3:43
as
3:44
I've
3:44
built
3:44
out
3:44
the
3:44
national
3:45
team,
3:46
we're
3:46
a
3:46
team
3:46
of
3:46
operators
3:47
rather
3:47
than
3:48
career
3:49
recruiters.
3:49
So
3:49
we
3:50
sort
3:50
of
3:50
approach
3:50
it
3:50
a
3:50
little
3:51
bit
3:51
differently
3:51
with
3:51
that
3:52
expertise
3:53
and
3:53
hands
3:53
on
3:53
knowledge
3:54
and
3:56
industry
3:57
intel
3:58
rather
3:58
than
3:58
simply
3:59
like
3:59
let's
3:59
go
3:59
find
3:59
resumes
4:00
and
4:00
try
4:00
to
4:01
figure
4:01
out
4:01
what
4:01
this
4:01
is.
4:01
We
4:02
sort
4:02
of
4:02
have
4:02
that
4:02
knowing.
4:04
Which
4:04
explains
4:04
exactly
4:05
why
4:05
you're
4:06
perfect
4:06
for
4:06
the
4:06
omnitok
4:07
podcast.
4:08
You're
4:08
an
4:08
operator
4:08
at
4:09
heart
4:09
and
4:10
you
4:11
help
4:11
people
4:11
find
4:12
the
4:12
right
4:12
talent
4:12
who
4:13
are
4:13
also
4:13
operators
4:14
and
4:14
experience.
4:14
Right
4:15
Chris?
4:16
Yeah,
4:16
100%.
4:17
I
4:17
mean
4:17
I
4:17
couldn't.
4:17
You
4:18
couldn't
4:18
have
4:18
said
4:18
it
4:18
better
4:19
myself.
4:19
And
4:19
yeah,
4:19
it's
4:19
an
4:20
operator.
4:20
We
4:20
love
4:20
operators
4:21
here
4:21
at
4:21
OmniTalk
4:21
and
4:22
Jed
4:22
Too.
4:23
Like
4:23
Jen,
4:23
you
4:24
and
4:24
I
4:24
were
4:24
joking
4:24
on
4:24
email
4:25
a
4:25
couple
4:25
of
4:25
weeks
4:25
ago.
4:26
But
4:26
like
4:26
your
4:27
podcast
4:27
was
4:28
very
4:28
well
4:29
liked
4:29
by
4:29
our
4:29
audience
4:30
and
4:30
because
4:30
of
4:31
the
4:31
insights
4:31
you
4:31
dropped
4:31
in
4:32
the
4:32
operational
4:32
knowledge
4:33
that
4:33
you
4:33
have
4:33
around
4:33
the
4:33
business,
4:34
I
4:34
think
4:34
it's
4:34
still
4:34
the
4:35
second
4:35
most
4:36
listened
4:36
to
4:36
Fast
4:37
5
4:37
of
4:37
the
4:37
year.
4:38
So
4:38
kudos
4:38
to
4:38
you
4:39
for
4:39
that,
4:39
I
4:39
guess.
4:39
I
4:39
guess.
4:40
And
4:40
you
4:40
and
4:40
I
4:40
should
4:40
go
4:41
on
4:41
vacation
4:41
more
4:41
often.
4:42
I
4:42
mean
4:42
that's
4:42
notes
4:42
to
4:43
ourselves,
4:43
man.
4:43
There's
4:43
a
4:43
lot
4:44
of
4:44
talent
4:45
here
4:45
or.
4:45
Just
4:45
me
4:46
because
4:46
I
4:46
think
4:46
what
4:46
you're
4:47
saying
4:47
here,
4:47
but
4:47
yeah,
4:48
no,
4:48
no,
4:48
no.
4:49
Hey,
4:49
I
4:49
need
4:49
a
4:49
vacation
4:50
too.
4:50
I
4:50
mean,
4:51
my
4:51
God.
4:51
So,
4:52
you
4:52
know,
4:52
I'd
4:52
love
4:52
to
4:52
do
4:52
that
4:52
as
4:53
well.
4:53
And
4:53
so
4:53
with
4:53
Jen
4:54
in,
4:54
in
4:55
the,
4:55
with
4:55
Jen's
4:56
insights
4:56
that
4:56
might
4:57
actually
4:57
be
4:57
in
4:57
the
4:57
cards
4:58
here
4:58
for
4:58
me
4:58
at
4:58
some
4:59
point.
4:59
So.
4:59
All
4:59
right,
5:00
well,
5:00
Jen,
5:01
one
5:01
of
5:01
the
5:01
reasons
5:02
we
5:02
love
5:02
having
5:02
you
5:03
on
5:03
this
5:03
show
5:03
every
5:04
month
5:04
is
5:04
that
5:05
you
5:06
also
5:06
are
5:06
going
5:06
to
5:06
help
5:06
us
5:07
hand
5:07
out
5:07
our
5:07
Omnistar,
5:08
which
5:08
again,
5:09
we
5:09
love
5:10
because
5:11
you
5:11
are
5:11
far
5:12
closer
5:12
to
5:13
the
5:13
ground
5:13
in
5:13
terms
5:13
of
5:14
knowing
5:14
which
5:14
retail
5:15
executives
5:15
are
5:16
really
5:16
making
5:16
the
5:16
grade
5:17
at
5:17
their
5:17
organizations.
5:18
I
5:18
mean,
5:18
we
5:18
meet
5:18
people
5:19
at
5:19
conferences,
5:19
but
5:19
you
5:20
really
5:20
get
5:20
an
5:20
understanding
5:21
because
5:21
you're
5:21
helping
5:22
place
5:22
talent
5:23
of
5:23
who's
5:23
actually
5:23
doing
5:24
what
5:24
you've
5:25
hired,
5:25
what
5:25
they've
5:26
been
5:26
hired
5:26
to
5:26
do.
5:26
So
5:27
for
5:27
those
5:27
new
5:27
to
5:27
the
5:27
podcast,
5:28
our
5:29
Omnistar
5:29
Award
5:29
is
5:29
the
5:30
award
5:30
we
5:30
give
5:30
out
5:30
each
5:31
month
5:31
in
5:31
partnership
5:32
with
5:32
Corso
5:33
to
5:33
recognize
5:33
the
5:33
top
5:34
omnichannel
5:34
operators
5:35
out
5:35
there.
5:35
Not
5:36
the
5:36
pundits,
5:36
not
5:37
the
5:37
so
5:37
called
5:37
experts,
5:38
but
5:38
the
5:38
real
5:38
life
5:38
retail
5:39
operators
5:40
making
5:40
a
5:40
difference
5:40
in
5:41
their
5:41
organizations.
5:42
Corso's
5:43
AI
5:43
copilot
5:43
coaches
5:44
retail
5:44
leaders
5:44
to
5:44
optimize
5:45
store
5:45
performance
5:46
at
5:46
every
5:46
level,
5:47
transform
5:47
retail
5:48
operations
5:48
from
5:49
data
5:49
overload
5:50
into
5:50
data
5:51
powered.
5:51
So,
5:52
Jen,
5:52
who
5:52
is
5:53
this
5:53
month's
5:53
Omnistar?
5:54
I'm
5:54
pretty
5:54
excited
5:55
about
5:55
this
5:55
one.
5:56
The
5:56
one,
5:56
the
5:57
only,
5:57
Kristin
5:58
Popp.
5:59
So
5:59
Kristen
5:59
is
5:59
the
5:59
executive
6:00
vice
6:00
president
6:00
of
6:01
Woodman's
6:02
Food
6:02
Market.
6:03
She
6:03
is
6:03
also
6:04
the
6:04
president
6:05
of
6:05
wga
6:06
Women's
6:06
Grocers
6:07
of
6:07
America.
6:08
And
6:08
a
6:08
few
6:09
weeks
6:09
ago,
6:09
I
6:09
think
6:09
it
6:10
was
6:10
a
6:10
few
6:10
weeks
6:10
ago
6:10
now
6:11
at
6:11
the
6:11
NGA
6:12
show.
6:12
So
6:12
the
6:13
National
6:13
Grocers
6:14
association,
6:14
they
6:15
named
6:15
Kristen
6:15
Woman
6:16
of
6:16
the
6:16
Year.
6:17
And
6:17
I
6:17
cannot
6:17
think
6:18
of
6:18
someone
6:18
more
6:18
deserving.
6:20
I
6:20
think
6:20
she's
6:20
a
6:20
fan
6:20
of
6:20
the
6:21
show.
6:21
Maybe
6:21
you
6:21
guys
6:21
have
6:21
talked
6:22
to
6:22
her?
6:22
Yeah,
6:22
we
6:23
talked
6:23
to
6:23
her
6:23
at
6:23
every
6:23
conference.
6:24
Yeah,
6:24
we
6:24
always
6:24
say
6:25
hi
6:25
and
6:25
we've
6:25
interviewed
6:26
her
6:26
as
6:26
well.
6:26
Yeah,
6:27
yeah,
6:27
so
6:27
you
6:28
felt
6:28
this
6:28
too.
6:28
But
6:29
while
6:29
she
6:29
has
6:29
all
6:30
of
6:30
that
6:30
on
6:30
her
6:30
resume
6:31
and
6:31
she's
6:31
doing
6:31
incredible
6:32
things
6:32
for
6:32
not
6:32
only
6:33
Woodman's,
6:33
which
6:33
would
6:34
qualify
6:34
her
6:34
for
6:35
this
6:35
award
6:35
alone,
6:35
but
6:36
out
6:36
in
6:36
the
6:36
industry,
6:37
anytime
6:38
you
6:38
talk
6:38
to
6:38
her,
6:39
it's
6:39
like
6:39
you're
6:39
the
6:39
only
6:39
person
6:40
she
6:40
sees.
6:40
And
6:41
I
6:41
think
6:41
that's
6:41
the
6:41
type
6:42
of
6:42
leadership
6:42
like
6:42
this
6:43
industry
6:43
really
6:43
needs.
6:44
So
6:44
Kristen
6:45
is
6:45
our
6:45
Omni
6:46
star.
6:46
Congrats.
6:46
Wow.
6:47
Congratulations,
6:48
Kristen.
6:48
Can't
6:48
wait
6:49
to
6:49
announce
6:49
this
6:49
on
6:49
social
6:50
media.
6:50
I
6:50
hope
6:50
it's
6:51
going
6:51
to
6:51
be
6:51
a
6:51
big
6:51
surprise
6:51
for
6:51
her
6:52
and
6:52
I
6:52
think
6:52
she'll
6:52
really
6:53
enjoy
6:53
it
6:53
and,
6:54
and
6:54
we're
6:54
really
6:54
excited
6:55
to
6:55
share
6:55
it
6:55
with,
6:56
with,
6:56
with
6:56
our
6:56
audience.
6:57
So.
6:57
All
6:58
right,
6:58
Jen,
6:59
And
6:59
Jen,
6:59
are
6:59
you
6:59
ready
7:00
to
7:00
try
7:00
to
7:00
duplicate
7:01
those
7:01
numbers
7:01
from
7:02
your
7:02
first
7:02
appearance?
7:02
Is
7:03
the
7:03
second
7:03
time
7:03
going
7:04
to
7:04
be
7:04
even
7:04
better
7:04
than
7:04
the
7:05
first?
7:05
Let's
7:05
give
7:05
it
7:05
a
7:06
shot
7:06
here.
7:06
All
7:07
right,
7:07
in
7:07
this
7:07
week's
7:07
Fast5,
7:08
we've
7:08
got
7:08
news
7:08
on
7:09
co
7:09
op
7:10
launching
7:10
a
7:10
gender
7:11
pay
7:11
gap
7:12
toolkit
7:12
ahead
7:13
of
7:13
new
7:13
UK
7:14
regulations.
7:15
Target
7:15
and
7:16
Albertsons
7:16
testing
7:17
ChatGPT
7:18
advertising.
7:19
American
7:19
Eagle
7:20
building
7:20
its
7:20
largest
7:21
creator
7:21
community
7:21
yet
7:22
with
7:22
the
7:22
rewards
7:22
based
7:23
program.
7:24
Independent
7:24
convenience
7:25
stores
7:25
deploying
7:25
AI
7:26
voice
7:26
insights
7:27
across
7:27
5,200
7:28
locations.
7:29
And
7:30
Stripe's
7:30
Chief
7:30
Revenue
7:31
Officer
7:32
of
7:32
AI,
7:33
Maya
7:33
Jose
7:34
Bakvili
7:35
stops
7:35
by
7:35
to
7:35
give
7:35
us
7:36
five
7:36
insightful
7:36
minutes
7:37
on
7:37
how
7:37
retailers
7:38
can
7:38
set
7:38
themselves
7:38
up
7:39
for
7:39
success
7:39
in
7:39
the
7:40
new
7:40
world
7:40
of
7:40
agentic
7:41
commerce.
7:42
But
7:42
we
7:42
begin
7:43
today
7:43
with
7:44
some
7:44
serious
7:45
headwinds
7:45
hitting
7:46
Nike's
7:46
Converse
7:47
brand.
7:47
Ann.
7:48
All
7:48
right,
7:49
headline
7:49
number
7:49
one
7:49
you2
7:50
Converse
7:51
employees
7:51
have
7:52
been
7:52
instructed
7:52
to
7:52
work
7:52
from
7:53
home
7:53
ahead
7:53
of
7:53
layoffs
7:54
and
7:54
restructuring
7:55
at
7:55
the
7:55
struggling
7:56
Nike
7:56
Inc.
7:57
Brand.
7:57
According
7:57
to
7:58
Bloomberg,
7:58
Converse
7:59
CEO
7:59
Aaron
7:59
Kane
8:00
announced
8:00
that
8:00
the
8:00
company
8:01
quote,
8:01
had
8:02
had
8:02
to
8:02
make
8:03
difficult
8:03
decisions,
8:04
end
8:04
quote,
8:04
which
8:04
will
8:05
include
8:05
quote,
8:06
saying
8:06
goodbye
8:07
to
8:07
friends
8:07
and
8:08
teammates,
8:08
end
8:08
quote.
8:09
With
8:09
multiple
8:10
senior
8:10
executives
8:11
departing,
8:12
converse
8:12
revenue
8:13
plunged
8:14
30%
8:14
in
8:14
the
8:15
last
8:15
quarter
8:15
and
8:15
sales
8:15
are
8:16
headed
8:16
towards
8:16
a
8:16
15
8:17
year
8:17
low,
8:17
making
8:17
it
8:18
one
8:18
of
8:18
the
8:18
biggest
8:18
pain
8:19
points
8:19
at
8:19
Nike
8:20
right
8:20
now.
8:20
With
8:21
alongside
8:21
the
8:21
greater
8:22
China
8:22
region,
8:23
the
8:23
brand
8:23
has
8:24
remained
8:24
heavily
8:24
reliant
8:25
on
8:25
its
8:25
Chuck
8:25
Taylor
8:26
shoe
8:26
while
8:26
forays
8:27
into
8:27
other
8:27
styles
8:28
haven't
8:28
quite
8:28
taken
8:29
hold.
8:29
Nike
8:30
CEO
8:30
Elliot
8:31
Hill
8:31
told
8:31
analysts
8:32
in
8:32
December,
8:32
quote,
8:33
we're
8:33
resetting
8:33
the
8:34
marketplace
8:34
for
8:34
Converse
8:35
under
8:35
new
8:35
leadership,
8:36
end
8:36
quote.
8:37
Jen,
8:38
we're
8:38
going
8:38
to
8:38
you
8:39
here
8:39
to
8:40
get
8:40
your
8:40
unique
8:41
approach
8:41
to
8:41
this.
8:42
You
8:42
really
8:42
have,
8:42
I
8:42
think
8:43
the
8:43
best,
8:43
you're
8:43
the
8:43
best
8:44
person
8:44
we
8:44
could
8:44
be
8:44
asking
8:45
about
8:45
this.
8:47
Is
8:47
Nike
8:47
taking
8:48
the
8:48
right
8:48
approach
8:48
here
8:49
asking
8:49
Converse
8:50
employees
8:50
to
8:51
work
8:51
from
8:51
home
8:51
ahead
8:52
of
8:52
layoffs?
8:52
Tell
8:53
us
8:53
your
8:53
thoughts
8:53
about
8:53
this
8:54
approach.
8:54
I'm
8:54
missing
8:55
some
8:55
information,
8:56
right.
8:56
So
8:56
I
8:56
don't
8:57
understand
8:57
entirely.
8:58
Is
8:58
it
8:58
the,
8:59
the
8:59
entire
8:59
Converse
9:00
leadership
9:00
team
9:01
that
9:01
was
9:01
sent
9:01
home
9:01
while
9:02
they're
9:02
deciding
9:03
who's
9:03
going
9:03
to
9:03
be
9:03
laid
9:04
off,
9:04
is
9:04
it
9:04
a
9:04
select
9:05
group
9:05
like
9:05
hey
9:06
here's
9:06
20%
9:07
of
9:07
our
9:07
leadership
9:07
team
9:07
to
9:08
go
9:08
work
9:08
from
9:08
home?
9:09
Because
9:10
that
9:10
makes
9:10
it
9:10
pretty
9:11
clear
9:11
who's,
9:11
who's
9:12
getting
9:12
cut.
9:13
But
9:14
with
9:14
what
9:14
we
9:15
have,
9:15
I
9:15
would
9:16
say
9:17
it
9:17
depends,
9:17
it
9:18
depends
9:18
on
9:18
their
9:19
long
9:19
term
9:19
intent
9:20
here.
9:21
Some
9:22
the
9:22
people
9:23
making
9:23
these
9:23
decisions
9:24
that
9:24
they
9:24
didn't
9:24
invite
9:25
us
9:25
to
9:25
the
9:25
executive
9:26
meetings,
9:26
right?
9:26
They
9:26
should
9:27
have
9:28
but
9:28
since
9:28
they
9:29
didn't,
9:30
they
9:30
know
9:30
things
9:30
that
9:31
we
9:31
don't.
9:31
Right.
9:31
So
9:32
if
9:32
the
9:32
plan
9:32
is
9:33
everyone
9:33
is
9:34
getting
9:34
cut,
9:34
then
9:35
I
9:35
actually
9:35
like
9:35
the
9:35
idea
9:36
of
9:36
saying
9:36
hey,
9:37
go
9:37
ahead
9:37
and
9:37
work
9:38
from
9:38
home
9:39
while
9:39
you
9:39
have
9:40
the
9:40
opportunity
9:40
to
9:41
explore
9:41
your
9:41
next
9:41
career
9:42
path.
9:43
Talk
9:43
to
9:43
the
9:43
recruiters
9:44
from
9:44
the
9:44
comfort
9:44
of
9:44
your
9:44
living
9:45
room
9:45
or
9:45
your
9:45
home
9:45
office.
9:47
It's
9:48
sort
9:48
of
9:48
a
9:48
signaling
9:49
and
9:49
a
9:50
grace,
9:50
if
9:51
you
9:51
will,
9:51
to
9:51
those.
9:52
Now,
9:53
if
9:53
the
9:53
plan
9:54
is
9:54
80%
9:55
of
9:55
these
9:55
people
9:55
are
9:55
going
9:55
to
9:56
be
9:56
asked
9:56
to
9:56
come
9:56
back
9:56
to
9:57
the
9:57
office,
9:57
if
9:57
only
9:58
20%
9:58
of
9:58
these
9:58
executives,
10:00
I
10:00
mean,
10:00
that's
10:00
just
10:01
bizarre.
10:01
In
10:01
my,
10:02
in
10:02
my
10:02
mind,
10:02
I
10:03
think
10:03
they
10:03
might
10:03
unintentionally
10:04
lose
10:05
some
10:05
of
10:05
the
10:05
talent
10:05
they,
10:06
they
10:06
plan
10:06
to
10:06
bring
10:07
back
10:08
after
10:08
saying,
10:08
hey,
10:09
go
10:09
ahead
10:09
and
10:09
go
10:09
home,
10:10
probably
10:11
search
10:11
for
10:11
jobs.
10:11
We're
10:12
not
10:12
sure
10:12
which
10:13
friends
10:13
and
10:14
team
10:14
members
10:14
are
10:14
going
10:15
to
10:15
be
10:15
let
10:15
go.
10:16
So
10:16
I
10:16
would
10:17
say,
10:18
I
10:18
hate
10:18
to
10:18
give
10:18
you
10:19
a
10:19
gray
10:20
answer
10:20
here
10:20
and,
10:21
but
10:22
it
10:22
depends
10:22
on
10:23
some
10:23
of
10:23
the
10:23
details
10:24
I
10:24
don't
10:24
have.
10:26
If
10:26
most
10:26
of
10:26
these
10:26
people
10:27
are
10:27
going
10:27
to
10:27
end
10:27
up
10:27
back
10:27
in
10:28
office.
10:28
I
10:28
think
10:29
it
10:29
could
10:30
present
10:30
some
10:30
odd
10:31
cultural
10:31
and
10:32
just
10:32
weird
10:33
vibes
10:33
when
10:33
they
10:34
come
10:34
back.
10:34
Yeah,
10:34
right.
10:35
Well,
10:35
that's,
10:35
that's
10:35
what
10:35
I
10:36
was
10:36
wondering.
10:36
I
10:36
mean,
10:36
obviously
10:37
you
10:37
are.
10:37
We
10:38
defer
10:38
to
10:38
you.
10:38
You're
10:38
the
10:38
expert
10:39
on
10:39
this.
10:39
But
10:40
I
10:40
feel
10:40
like
10:41
there's
10:41
also
10:41
a
10:42
lot
10:42
of
10:42
fear
10:43
and
10:43
toxicity.
10:44
I
10:44
think
10:44
that
10:45
happens
10:45
when
10:45
you're,
10:45
when
10:46
you
10:46
are
10:46
in
10:46
person
10:47
during
10:47
this
10:47
environment.
10:48
Like,
10:48
are
10:48
people
10:48
actually
10:49
getting
10:49
work
10:49
done?
10:50
When
10:50
there's,
10:51
when
10:51
you
10:51
get
10:51
this
10:52
news
10:52
and
10:52
it's
10:52
like
10:53
we're
10:53
just
10:53
looming
10:54
for
10:54
the
10:54
next
10:54
few
10:54
weeks
10:55
waiting
10:55
for
10:55
this
10:56
to
10:56
hit
10:56
us.
10:57
So
10:57
I
10:57
wonder
10:58
if
10:58
I
10:58
was
10:59
thinking
10:59
the
10:59
same
10:59
thing
11:00
where
11:00
you
11:00
were
11:00
saying,
11:00
like,
11:01
you
11:01
know,
11:01
can
11:01
you
11:02
be
11:02
looking
11:02
for
11:03
jobs,
11:03
for
11:03
other
11:03
jobs
11:04
from
11:04
the
11:04
comfort
11:04
of
11:05
your
11:05
own,
11:05
not,
11:06
like,
11:06
trying
11:06
to
11:07
focus
11:07
on
11:07
doing
11:07
work
11:08
in
11:08
the
11:08
office
11:08
and
11:09
then
11:09
also
11:09
trying
11:10
to
11:10
search
11:10
for
11:10
other,
11:11
you
11:11
know,
11:11
whatever
11:12
your
11:12
next,
11:12
your
11:13
next
11:13
role
11:13
might
11:13
be.
11:14
So,
11:15
yeah,
11:15
I
11:16
think,
11:16
I
11:16
think
11:16
what
11:16
you're
11:16
saying
11:17
there
11:17
makes
11:17
a
11:17
lot
11:17
of
11:17
sense.
11:18
Chris,
11:19
I'm
11:19
curious,
11:20
from
11:20
your
11:20
perspective,
11:22
one,
11:22
how
11:22
do
11:23
you
11:23
feel
11:23
about
11:23
how
11:23
they're
11:24
handling
11:24
these
11:25
layoffs
11:25
by
11:25
asking
11:26
people
11:26
to
11:26
work
11:26
from
11:26
home?
11:27
But
11:27
also,
11:28
I
11:28
mean,
11:28
what
11:28
do
11:28
you
11:28
think
11:29
this
11:29
says
11:29
about
11:29
the
11:30
future
11:30
of
11:30
the
11:30
Converse
11:31
brand
11:31
and
11:31
where
11:32
Nike
11:32
can
11:33
take
11:33
this
11:33
if.
11:34
If
11:34
anywhere?
11:35
Yeah,
11:36
I
11:36
think
11:36
those
11:36
are.
11:36
I
11:36
think
11:36
those
11:37
are
11:37
both
11:37
great
11:37
questions.
11:38
I
11:38
think,
11:38
I
11:38
think,
11:39
I
11:39
think
11:39
I
11:39
disagree
11:40
with
11:40
how
11:40
you
11:40
guys
11:40
are
11:41
positioning
11:41
this.
11:41
Although
11:41
it
11:41
feels
11:42
like
11:42
you're
11:42
kind
11:42
of
11:42
both
11:42
a
11:42
little
11:43
bit
11:43
like,
11:43
you
11:43
know,
11:44
kind
11:44
of
11:44
still
11:44
questioning
11:45
it,
11:45
too.
11:45
But,
11:45
like,
11:46
I
11:46
think,
11:46
you
11:46
know,
11:47
from
11:47
my
11:47
perspective,
11:47
I
11:47
think
11:48
it's
11:48
a
11:48
very
11:48
drastic
11:49
move
11:49
and
11:50
it
11:50
could
11:50
be
11:50
very
11:50
culturally
11:51
demoralizing,
11:51
as
11:52
you
11:52
both
11:52
said,
11:52
like,
11:53
if
11:53
they
11:53
have
11:53
to
11:53
return
11:53
to
11:53
office.
11:54
That's
11:54
not
11:54
going
11:54
to
11:54
work.
11:54
So
11:55
I'm
11:55
kind
11:55
of
11:55
like,
11:55
well,
11:56
yeah,
11:56
it
11:56
might
11:56
be
11:56
nice
11:57
for
11:57
the
11:57
employees
11:57
to
11:58
go
11:58
home
11:58
and
11:58
have
11:58
that
11:59
free
11:59
time,
11:59
but
11:59
like,
12:00
but
12:00
you
12:00
lose
12:01
that
12:01
option
12:01
of
12:01
bringing
12:02
them
12:02
back.
12:02
And
12:02
that's
12:02
where
12:03
I
12:03
worry
12:03
about
12:03
the
12:03
cultural
12:04
impact
12:04
here.
12:04
But,
12:05
you
12:05
know,
12:05
so
12:05
to
12:05
answer
12:06
your
12:06
second
12:06
question,
12:06
Ann,
12:07
about
12:07
the
12:07
brand,
12:07
I
12:07
mean,
12:07
what
12:08
this
12:08
tells
12:08
me,
12:09
and
12:09
we
12:09
haven't
12:09
brought
12:10
this
12:10
up
12:10
yet,
12:10
is
12:10
I
12:10
think
12:11
it
12:11
sounds
12:11
like
12:11
they
12:12
are
12:12
trying
12:12
to
12:12
ready
12:13
the
12:13
table
12:13
to
12:14
divest
12:14
the
12:14
brand
12:15
and
12:15
sell
12:15
it
12:16
off.
12:16
And
12:16
they've
12:17
probably
12:17
been
12:17
trying
12:17
to
12:18
do
12:18
that
12:18
already.
12:18
My
12:19
guess
12:19
is
12:19
they
12:19
haven't
12:19
had
12:20
any
12:20
takers.
12:20
Either
12:21
they
12:21
haven't
12:21
had
12:21
any
12:21
takers
12:22
thus
12:22
far,
12:23
or
12:23
they
12:23
are
12:23
very
12:24
close
12:24
to
12:24
closing
12:25
the
12:25
deal.
12:26
Because
12:26
we've
12:27
seen
12:27
this
12:27
before.
12:28
Like,
12:28
I
12:28
think
12:28
about
12:28
it,
12:29
like
12:29
when,
12:30
you
12:30
know,
12:30
Spartan
12:31
Nash
12:31
and
12:31
cns,
12:32
you
12:32
know,
12:32
did
12:33
their
12:33
thing
12:33
together,
12:33
a
12:34
lot
12:34
of
12:34
the
12:34
Spartan
12:34
Ash
12:35
executives
12:35
were,
12:36
you
12:36
know,
12:36
you
12:37
know,
12:37
transitioned,
12:38
you
12:38
know,
12:38
ahead
12:38
of
12:39
that
12:39
deal.
12:39
So
12:39
it
12:39
makes
12:40
me
12:40
think
12:40
something
12:41
like
12:41
that
12:41
is
12:42
in
12:42
play.
12:42
So
12:43
to
12:43
Jen,
12:43
the
12:43
point
12:44
I
12:44
agree
12:44
with
12:44
is
12:45
like,
12:46
if,
12:47
if
12:47
that's
12:47
what's
12:47
in
12:48
play
12:48
here,
12:48
then
12:48
it
12:48
probably
12:49
is
12:49
the
12:49
right
12:49
move.
12:49
But
12:50
unfortunately
12:50
we
12:50
just
12:50
don't
12:51
have
12:52
enough
12:52
information.
12:52
But
12:52
that
12:53
is
12:53
the
12:53
typical
12:53
pattern
12:54
we've
12:54
seen
12:54
on
12:54
this
12:55
show.
12:55
Doing
12:55
it
12:55
for
12:56
eight
12:56
years
12:56
when
12:56
this
12:57
sort
12:57
of
12:57
thing
12:57
starts
12:58
to
12:58
happen.
12:58
Right.
12:59
Yeah.
12:59
I
12:59
mean,
13:00
I
13:00
question
13:01
some
13:01
of
13:01
the
13:01
things
13:02
that
13:02
we're
13:02
seeing
13:02
Converse
13:03
do.
13:03
They
13:03
just
13:04
started
13:04
a
13:04
relationship,
13:05
a
13:05
wholesale
13:05
partnership
13:06
with
13:06
Target
13:06
not
13:06
too
13:06
long
13:07
ago.
13:07
So
13:07
that's
13:08
another
13:08
question
13:08
that
13:08
I
13:09
have
13:09
is
13:09
like,
13:10
how,
13:10
how
13:10
wide
13:11
are
13:11
you
13:11
spreading
13:12
your
13:12
retailer
13:13
partners
13:13
and
13:14
what
13:14
does
13:14
that
13:14
mean
13:14
for
13:15
the
13:15
cachet
13:16
of
13:16
the
13:16
brand?
13:16
I
13:16
mean,
13:17
especially
13:17
Shea
13:18
Gil,
13:18
just
13:18
Alexander,
13:19
he's
13:19
like
13:19
the
13:19
rep
13:20
for
13:20
Converse.
13:21
If
13:21
he
13:21
can't
13:21
save
13:22
the
13:22
brand
13:22
right
13:22
now,
13:22
he's
13:23
like
13:23
top
13:23
of
13:23
the
13:23
top
13:24
right
13:24
now.
13:24
And
13:25
if
13:25
he's
13:25
not,
13:26
if
13:26
it's
13:26
not
13:26
working
13:26
for
13:27
them
13:27
with
13:27
a
13:28
rep
13:28
like
13:28
Shay,
13:29
I
13:29
don't,
13:29
I
13:29
just
13:29
don't
13:30
know,
13:31
you
13:31
know,
13:31
how
13:31
they
13:32
continue
13:32
to
13:33
stay
13:33
in,
13:34
in
13:34
this,
13:36
this
13:36
consideration
13:37
set
13:37
for
13:38
the
13:38
next
13:38
generation
13:38
of
13:39
brands
13:39
that
13:39
they're
13:39
going
13:40
to
13:40
want
13:40
to
13:40
be
13:40
purchasing
13:41
and
13:41
getting
13:41
involved
13:41
with.
13:42
So
13:42
that's,
13:43
that's
13:43
a
13:43
big
13:43
concern.
13:44
And
13:44
hopefully
13:45
somebody
13:46
can
13:46
come
13:46
in
13:47
through
13:47
this
13:47
restructuring
13:48
and
13:49
figure
13:49
out
13:49
what
13:49
the
13:49
next
13:50
best
13:50
move
13:50
is
13:51
for
13:51
the
13:51
brand,
13:51
but
13:52
more
13:52
importantly
13:52
for
13:52
the
13:53
people
13:53
who
13:53
are,
13:53
have
13:53
been
13:54
working
13:54
on
13:54
that
13:54
brand
13:54
too.
13:55
Yeah,
13:56
and
13:56
you're
13:56
right.
13:56
I
13:56
mean,
13:56
when
13:57
you
13:57
did
13:57
the
13:57
read
13:57
too,
13:57
when
13:58
Chuck
13:58
Taylor
13:58
is
13:58
one
13:59
of
13:59
the
13:59
first
13:59
things
13:59
that
13:59
gets
13:59
announced,
14:00
that's
14:00
what
14:00
always
14:00
worries
14:01
me
14:01
because
14:01
that's
14:01
a
14:01
very
14:02
trend
14:02
cyclical
14:03
brand.
14:03
Like
14:04
it's
14:04
going
14:04
to
14:04
go
14:04
up
14:04
for
14:05
periods
14:05
of
14:05
years
14:05
and
14:05
it's
14:06
going
14:06
to
14:06
go
14:06
down.
14:06
And
14:06
they're
14:07
in
14:07
a
14:07
period
14:07
right
14:07
now
14:07
probably
14:08
where
14:08
it's
14:08
down
14:08
and
14:09
to
14:09
your
14:09
point,
14:09
they're
14:10
not
14:10
able
14:10
to
14:10
enliven
14:10
it
14:11
anywhere
14:11
else.
14:11
All
14:12
right,
14:12
headline
14:12
number
14:12
two.
14:13
I'm
14:13
really
14:13
excited
14:13
to
14:14
get
14:14
both
14:14
of
14:14
your
14:14
opinions
14:15
on
14:15
this.
14:15
One
14:15
UK
14:16
supermarket
14:16
chain
14:17
Co
14:17
op
14:18
has
14:18
collaborated
14:18
with
14:18
women
14:19
in
14:19
hospitality,
14:20
travel
14:20
and
14:21
leisure.
14:21
The
14:22
yhtl,
14:23
that's
14:23
the
14:23
acronym
14:24
and
14:24
diversity
14:25
in
14:25
retail
14:25
dir
14:26
to
14:26
unveil
14:26
a
14:27
new
14:27
gender
14:28
pay
14:28
gap
14:28
toolkit.
14:29
According
14:30
to
14:30
the
14:30
Retail
14:31
Gazette,
14:31
the
14:31
toolkit
14:32
aims
14:32
to
14:32
close
14:32
the
14:33
gender
14:33
gap
14:33
by
14:33
helping
14:34
organizations
14:35
pursue,
14:35
quote,
14:36
meaningful
14:36
change
14:37
and
14:37
is
14:37
designed
14:38
to
14:38
prepare
14:38
companies
14:39
for
14:39
a
14:39
strengthened
14:40
gender
14:40
pay
14:41
gap
14:41
action
14:41
requirements
14:42
coming
14:42
into
14:43
effect
14:43
from
14:43
2,027
14:44
in
14:45
the
14:45
UK.
14:46
It
14:46
provides
14:46
guidances
14:47
to
14:47
businesses
14:47
on
14:48
how
14:48
to
14:48
identify
14:48
key
14:49
drivers
14:49
of
14:49
gender
14:50
pay
14:50
gaps,
14:50
develop
14:51
action
14:51
plans
14:51
and
14:52
to
14:52
improve
14:52
recruitment
14:53
and
14:53
progression
14:54
opportunities.
14:54
The
14:55
toolkit
14:55
brings
14:55
together
14:56
practical
14:56
insights
14:56
into
14:57
areas
14:57
such
14:57
as
14:57
menopause,
14:58
menstrual
14:58
health,
14:59
inclusive
14:59
hiring,
14:59
mentoring,
15:00
sponsorship
15:01
and
15:01
flexible
15:01
working.
15:02
Tia
15:03
Kolani
15:04
MBE,
15:05
founder
15:05
and
15:05
Chair
15:06
of
15:06
the
15:06
yhdl,
15:07
said
15:08
Published,
15:08
quote,
15:09
said
15:09
quote
15:09
Publishing
15:10
gender
15:10
pay
15:10
gap
15:11
data
15:11
is
15:11
only
15:11
the
15:12
first
15:12
step.
15:13
The
15:13
requirement
15:13
to
15:14
publish
15:14
in
15:14
action
15:14
plan
15:15
rightly
15:15
shifts
15:16
the
15:16
focus
15:16
from
15:16
transparency
15:17
alone
15:18
to
15:18
meaningful
15:18
change.
15:19
Jen,
15:21
you're
15:21
our
15:21
guest,
15:22
so
15:22
of
15:22
course
15:22
you're
15:23
going
15:23
to
15:23
get
15:23
the
15:23
A
15:23
and
15:23
M
15:24
put
15:24
you
15:24
on
15:24
the
15:24
spot
15:25
question
15:25
of
15:25
the
15:25
week.
15:26
And
15:26
here
15:26
it
15:26
is.
15:27
Please
15:28
help
15:28
explain
15:29
what
15:29
this
15:29
toolkit
15:30
means
15:30
in
15:30
practical
15:31
terms.
15:31
And
15:32
does
15:32
it
15:32
get
15:32
a
15:32
head
15:33
nod,
15:34
a
15:34
golf
15:34
clap
15:34
or
15:35
a
15:35
standing
15:35
ovation
15:36
from
15:36
you?
15:37
Okay,
15:37
yeah.
15:38
So
15:38
in
15:38
the
15:38
UK
15:39
it's
15:39
required
15:39
by
15:40
law
15:40
to
15:40
publish
15:40
your
15:41
gender
15:41
pay
15:41
gap
15:42
data,
15:42
which
15:42
is
15:43
different
15:43
than
15:43
here
15:43
in
15:44
the
15:44
United
15:44
States.
15:45
So
15:46
that's
15:46
one
15:46
thing
15:47
that
15:47
I
15:47
think
15:48
is
15:48
important
15:48
to
15:48
point
15:49
out,
15:49
like
15:49
the
15:49
data
15:49
itself
15:50
is
15:50
not
15:50
new
15:50
or
15:51
different
15:51
or
15:51
uncommon
15:52
to
15:52
see
15:53
when
15:53
it
15:53
comes
15:54
to
15:54
the
15:54
toolkit,
15:55
what
15:55
is
15:55
it
15:55
practically?
15:56
Well,
15:56
you
15:56
shared
15:57
that
15:57
it
15:57
offers
15:58
insights
15:58
into
15:59
areas
15:59
like
15:59
menopause,
16:00
menstrual
16:00
health,
16:00
inclusive
16:01
hiring.
16:02
I
16:02
think
16:03
what
16:03
it
16:03
really
16:04
comes
16:04
down
16:04
to
16:04
is
16:05
it's
16:05
offering
16:06
guidance
16:06
on
16:07
how
16:07
to
16:07
use
16:07
the
16:08
data
16:08
because
16:08
organizations
16:09
are
16:09
already
16:10
required
16:10
to
16:10
report
16:10
that
16:11
data.
16:11
But
16:11
how
16:11
do
16:11
you
16:12
use
16:12
that
16:12
data
16:12
to
16:13
move
16:13
yourself
16:13
from
16:13
where
16:14
you
16:14
are
16:14
today
16:14
to
16:14
where
16:14
you'd
16:15
like
16:15
to
16:15
go?
16:16
So
16:16
that
16:16
might
16:17
be
16:17
action
16:18
planning
16:18
frameworks,
16:19
that
16:19
might
16:19
be
16:19
templates.
16:20
It
16:20
can
16:21
be
16:21
a
16:21
lot
16:21
of
16:22
leadership
16:23
development.
16:23
Right.
16:24
So
16:24
what
16:24
does
16:24
change
16:24
management
16:25
look
16:25
like
16:25
with
16:25
your
16:26
executive
16:26
team?
16:26
If
16:27
you
16:27
really
16:27
want
16:27
to
16:27
close
16:27
that
16:28
gap,
16:28
how
16:28
do
16:29
you
16:29
hire
16:29
differently?
16:30
How
16:30
do
16:30
you
16:31
motivate
16:32
team
16:32
members
16:33
in
16:33
different
16:33
ways
16:34
to
16:34
make
16:34
sure
16:35
that
16:35
you're
16:35
closing
16:36
that
16:36
pay
16:36
gap
16:36
and
16:37
you're
16:37
promoting
16:38
equally
16:39
in
16:39
the
16:39
different
16:40
genders.
16:41
And
16:41
when
16:42
it
16:42
comes
16:42
to
16:43
their
16:43
choice
16:44
to
16:44
share
16:44
this
16:45
publicly
16:45
and
16:45
not
16:45
just
16:46
share
16:46
the
16:46
data,
16:46
but
16:46
actually
16:47
share
16:47
the
16:47
toolkit,
16:49
it
16:49
gets
16:49
a
16:49
minimum
16:50
of
16:50
a
16:50
golf
16:50
clap.
16:50
But
16:51
I
16:51
think
16:51
I'm
16:51
going
16:51
to
16:51
go
16:51
standing
16:52
ovation
16:52
on
16:52
my
16:53
side.
16:54
Why?
16:55
Because
16:56
here's
16:56
the
16:56
deal.
16:56
If
16:57
they're
16:57
sharing
16:57
that
16:58
publicly,
16:59
they
16:59
have
17:00
a
17:00
real
17:00
motivation
17:01
for
17:01
change.
17:02
They're
17:02
not
17:02
looking
17:02
to
17:03
just
17:03
fix
17:03
the
17:03
gap
17:04
in
17:04
their
17:04
own
17:04
company,
17:04
but
17:05
they're
17:05
saying,
17:05
hey,
17:05
as
17:06
an
17:06
industry,
17:07
as
17:07
a
17:08
country,
17:08
right,
17:09
like
17:09
how
17:09
do
17:09
we
17:09
close
17:10
this
17:10
gap?
17:10
And
17:11
the
17:11
only
17:11
way
17:11
to
17:11
do
17:12
that
17:12
is
17:12
to
17:12
share
17:12
best
17:13
practices,
17:13
share
17:14
playbooks
17:15
in
17:15
the
17:15
form
17:16
of
17:16
things
17:16
like
17:16
this
17:17
toolkit.
17:17
So
17:18
I
17:18
think
17:18
of
17:18
it
17:18
similarly
17:19
to
17:19
during
17:20
COVID
17:21
right.
17:21
We
17:21
saw
17:22
retailers
17:23
reaching
17:23
across
17:24
the
17:24
aisle,
17:24
if
17:25
you
17:25
will,
17:25
where
17:25
typically
17:26
things
17:26
would
17:26
be
17:26
tight
17:27
lipped
17:27
and
17:28
sharing,
17:28
hey,
17:28
how
17:28
are
17:29
you
17:29
managing
17:29
this?
17:29
How
17:30
are
17:30
you
17:30
getting
17:30
through
17:30
this?
17:31
How
17:31
are
17:31
we
17:31
going
17:31
to
17:31
make
17:31
it
17:31
from
17:32
point
17:32
A
17:32
to
17:32
point
17:32
B?
17:33
So
17:34
I
17:34
think
17:34
this
17:34
is
17:34
pretty
17:34
incredible
17:35
because
17:35
it
17:36
shows
17:36
that
17:36
they
17:36
really
17:36
want
17:37
to
17:37
change
17:37
it
17:37
for
17:37
the
17:38
industry
17:38
at
17:39
large
17:39
rather
17:39
than
17:40
simply
17:40
how
17:40
do
17:41
we
17:41
check
17:41
the
17:41
box
17:41
internally
17:42
in
17:42
our
17:42
organization?
17:44
I
17:45
100%
17:45
agree
17:46
with
17:46
you.
17:46
I
17:47
think
17:47
it's
17:47
something
17:47
that
17:47
should
17:48
be
17:48
lauded.
17:48
I
17:48
mean,
17:48
I
17:49
think
17:49
back
17:49
to
17:49
my
17:49
time
17:49
as
17:49
an
17:50
executive
17:50
at
17:50
Target,
17:51
being
17:51
charged
17:51
with
17:51
making
17:52
decisions
17:52
in
17:53
this
17:53
arena
17:54
and
17:54
the
17:54
more
17:55
information
17:55
that
17:55
I
17:55
can
17:56
have,
17:56
the
17:56
better.
17:56
The
17:56
more
17:57
information
17:57
the
17:58
industry
17:58
can
17:58
have,
17:59
the
17:59
better.
17:59
And
18:00
it
18:00
just
18:00
helps
18:00
put
18:01
my
18:01
feet
18:01
to
18:01
the
18:01
fire
18:02
in
18:02
terms
18:02
of
18:02
eating
18:03
what
18:03
I
18:03
cook,
18:03
in
18:04
terms
18:04
of
18:04
trying
18:04
to
18:05
promote
18:05
whatever
18:06
is
18:06
required
18:06
of
18:07
me
18:07
as
18:07
a
18:07
retail
18:08
executive
18:09
for
18:09
the
18:09
benefits
18:10
of
18:10
the
18:10
organization
18:10
and
18:11
everyone
18:11
that
18:11
works
18:11
there.
18:11
So,
18:12
yeah,
18:12
I
18:12
100%
18:12
agree
18:13
with
18:13
you.
18:13
And
18:13
what
18:14
do
18:14
you
18:14
think
18:14
here?
18:15
Yeah,
18:15
I
18:15
mean,
18:16
I,
18:16
Jen,
18:17
I
18:17
really
18:17
like
18:17
the
18:18
COVID
18:18
call
18:18
out
18:19
because
18:19
when
18:19
I
18:19
was
18:19
thinking
18:20
about
18:20
this,
18:20
I
18:21
was
18:21
taken
18:21
back
18:22
to
18:22
like
18:22
when
18:22
early
18:23
sustainability
18:23
goals
18:24
for
18:24
companies
18:25
were
18:25
a
18:25
thing
18:26
where
18:26
they
18:26
were
18:26
giving
18:26
their
18:27
plans
18:27
for
18:27
2025
18:28
or
18:29
even
18:29
with
18:30
some
18:30
of
18:30
the
18:30
DEI
18:31
initiatives
18:32
that
18:33
companies
18:33
were
18:34
trying
18:34
to
18:34
share
18:35
with
18:35
each
18:35
other.
18:36
But
18:36
most
18:36
importantly,
18:37
I
18:37
think
18:37
it's
18:38
the
18:38
suppliers
18:39
who
18:39
will
18:39
benefit
18:40
for
18:40
those
18:41
that
18:41
are
18:41
selling
18:42
into
18:42
co
18:42
op.
18:42
Because
18:43
my
18:43
guess
18:44
is
18:44
that
18:44
if
18:44
this
18:45
is
18:45
truly
18:45
something
18:46
that
18:46
co
18:46
op
18:46
is
18:46
going
18:46
to
18:47
stand
18:47
behind,
18:47
they're
18:47
going
18:47
to
18:48
start
18:48
requiring
18:48
some
18:49
of
18:49
these
18:49
things
18:49
of
18:50
their
18:50
suppliers
18:51
and
18:51
putting
18:51
a
18:51
toolkit
18:52
out
18:52
in
18:52
front
18:53
of
18:53
them
18:53
that
18:53
they
18:53
can
18:54
access
18:54
right
18:54
now
18:55
to
18:55
say,
18:55
this
18:55
is
18:55
how
18:56
we're
18:56
closing
18:56
the
18:56
gender
18:57
pay
18:57
gap.
18:58
To
18:58
your
18:59
earlier
18:59
point,
18:59
Jen,
19:00
this
19:00
is
19:00
how
19:00
we're
19:00
thinking
19:01
about
19:01
hiring
19:01
and
19:02
bringing
19:02
the
19:02
right
19:02
people
19:02
on
19:03
board.
19:03
Because
19:04
I
19:04
wouldn't
19:04
be
19:04
surprised
19:05
if
19:05
we
19:05
see
19:05
down
19:06
the
19:06
road
19:06
this
19:06
becoming
19:07
a
19:07
requirement
19:08
or
19:08
sharing
19:08
some
19:09
of
19:09
the,
19:09
these,
19:10
these,
19:10
this
19:10
data
19:11
of
19:11
how
19:12
their
19:12
companies
19:12
are
19:13
working
19:13
towards
19:14
that
19:14
goal
19:14
becomes
19:15
a
19:15
requirement
19:16
for
19:16
selling
19:16
into
19:17
co
19:17
op
19:17
so
19:18
that
19:18
they
19:18
can
19:18
maintain
19:19
this
19:19
mission
19:20
of,
19:20
of
19:20
really
19:21
eliminating
19:21
this
19:22
gender
19:22
pay
19:22
gap.
19:22
So
19:22
that
19:23
to
19:23
me
19:24
is
19:24
another
19:24
reason
19:24
why
19:25
this
19:25
is
19:25
helpful
19:25
to
19:26
be
19:26
able
19:26
to
19:26
say,
19:26
hey,
19:27
are
19:27
you
19:27
thinking
19:27
about
19:28
selling
19:28
in
19:28
co
19:28
op
19:28
stores?
19:29
Are
19:29
you
19:29
already
19:30
a
19:30
provider
19:30
in
19:30
co
19:31
op
19:31
stores?
19:31
These
19:32
are
19:32
what
19:32
you
19:32
need
19:32
to
19:32
be
19:32
thinking
19:33
about.
19:33
And
19:33
here's
19:33
the
19:34
step
19:34
by
19:34
step
19:34
way
19:35
for
19:35
you
19:35
to
19:35
do
19:35
that.
19:36
Whether
19:36
you're
19:36
a
19:37
small
19:37
niche,
19:38
you
19:38
know,
19:38
mom
19:38
and
19:39
pop
19:39
brand
19:39
coming
19:40
into
19:40
co
19:40
op
19:40
for
19:40
the
19:40
first
19:41
time,
19:41
or
19:41
you
19:42
know,
19:42
your
19:42
craft
19:43
Heinz
19:43
and
19:43
you're,
19:43
you've
19:44
been
19:44
selling
19:44
in
19:44
for,
19:44
for
19:45
decades.
19:45
I
19:45
think
19:46
that's
19:46
the
19:46
other
19:46
part
19:47
of
19:47
this
19:47
that
19:47
I
19:47
find
19:48
really
19:48
interesting
19:48
and
19:49
a
19:49
good
19:49
way
19:49
to,
19:50
or
19:50
a
19:50
good
19:51
reason
19:51
for
19:51
them
19:51
to
19:51
be
19:52
promoting
19:52
this
19:52
publicly.
19:54
All
19:54
right,
19:54
let's
19:54
go
19:54
on
19:54
to
19:55
headline
19:55
number
19:55
three.
19:55
Target
19:56
and
19:56
Albertsons
19:57
are
19:57
among
19:57
the
19:57
first
19:58
retailers
19:58
testing
19:59
conversational
19:59
advertising
20:00
in
20:01
Chat
20:01
GPT
20:01
through
20:02
a
20:02
new
20:02
pilot
20:03
program
20:03
with
20:03
OpenAI.
20:04
According
20:04
to
20:05
various
20:05
sources,
20:05
sponsored
20:06
ads
20:06
from
20:07
Target's
20:07
Roundel
20:07
Retail
20:08
Media
20:08
and
20:08
Albertsons
20:09
Media
20:09
Collective
20:10
will
20:10
appear
20:11
alongside
20:11
user
20:12
shopping
20:12
conversations
20:13
in
20:13
Chat
20:13
GPT
20:14
starting
20:14
this
20:14
month.
20:15
Ads
20:16
are
20:16
served
20:16
based
20:16
on
20:16
keywords
20:17
and
20:17
a
20:17
user's
20:18
ChatGPT
20:19
prompt,
20:19
for
20:19
example,
20:20
asking
20:20
about
20:21
countertop
20:21
cooking
20:22
appliances
20:23
that
20:23
might
20:24
trigger
20:24
an
20:24
ad
20:24
for
20:25
an
20:25
air
20:25
fryer.
20:26
OpenAI
20:27
said
20:27
that
20:28
all
20:28
ads
20:28
will
20:28
be
20:28
clearly
20:29
labeled,
20:29
will
20:30
appear
20:30
separately
20:30
from
20:31
responses,
20:31
and
20:31
will
20:32
not
20:32
influence
20:32
the
20:32
answers
20:33
ChatGPT
20:34
provides.
20:34
Target
20:35
reported
20:35
that
20:36
traffic
20:36
from
20:36
ChatGPT
20:37
to
20:37
its
20:38
site
20:38
is
20:38
already
20:38
growing
20:39
40%
20:40
monthly
20:40
on
20:41
average.
20:42
The
20:42
tests
20:42
are
20:42
both
20:43
only
20:43
for
20:43
ChatGPT's
20:45
free
20:45
and
20:45
go
20:45
subscription
20:46
tiers.
20:47
Plus
20:48
Pro,
20:48
Business,
20:49
Enterprise
20:49
and
20:49
education
20:50
tiers
20:51
will
20:51
all
20:51
remain
20:52
ad
20:52
free.
20:53
Jen,
20:54
are
20:54
you
20:54
buying
20:55
or
20:55
selling?
20:55
Retailers
20:56
jumping
20:56
onto
20:57
the
20:57
Chat
20:57
GPT
20:58
advertising
20:59
train
20:59
this
21:00
early?
21:00
I
21:01
see
21:01
very
21:01
little
21:01
risk
21:02
being
21:02
a
21:02
retailer
21:03
and
21:03
getting
21:03
involved
21:04
here.
21:04
But
21:04
I
21:04
see
21:04
a
21:05
lot
21:05
of
21:05
upside
21:05
if
21:06
it
21:06
works
21:06
in
21:06
your
21:06
favor.
21:07
And
21:07
it
21:07
sounds
21:07
like
21:07
40%
21:08
more
21:08
traffic
21:09
that
21:09
Target
21:09
is,
21:10
is
21:10
reporting
21:11
shows
21:12
that
21:12
so
21:12
far.
21:13
I
21:13
mean,
21:13
as
21:14
a
21:14
user,
21:15
I
21:15
don't
21:15
love
21:15
the
21:15
idea
21:16
of
21:16
being
21:16
flooded
21:17
with
21:17
ads
21:17
if
21:17
I'm
21:18
asking
21:18
it
21:19
like,
21:19
hey,
21:19
how
21:19
do
21:20
I
21:20
parent
21:20
better
21:21
at
21:21
9pm
21:22
after
21:22
bedtime
21:22
was
21:23
a
21:23
wreck,
21:23
right?
21:24
Like,
21:24
I
21:25
don't,
21:25
I
21:25
don't
21:26
love
21:26
being
21:26
like,
21:27
hey,
21:27
here's
21:27
all
21:27
the
21:27
things
21:28
you
21:28
should
21:28
buy.
21:28
However,
21:29
if
21:29
it's
21:30
9pm
21:30
and
21:30
I'm
21:31
dealing
21:31
with
21:31
a
21:31
5
21:32
year
21:32
old
21:32
that
21:32
hates
21:32
bedtime
21:34
and
21:34
they
21:34
have
21:35
a
21:35
solution,
21:35
I
21:35
will
21:36
probably
21:36
buy
21:36
it.
21:37
Right?
21:37
Like
21:37
yes,
21:38
give
21:38
me
21:38
the
21:38
add
21:38
to
21:39
cart
21:39
all
21:39
of
21:39
those
21:39
and
21:40
I'll
21:40
be
21:40
a
21:40
better
21:40
mom
21:40
tomorrow.
21:41
So
21:42
from
21:42
the
21:42
user
21:42
side
21:43
it's
21:43
hard
21:43
for
21:43
me
21:43
to
21:43
say
21:44
I
21:44
want
21:44
to
21:44
be
21:45
flooded
21:45
with
21:45
ads
21:45
but
21:46
from
21:46
the
21:46
retailer
21:47
side
21:47
I'm
21:47
a
21:47
big
21:47
fan
21:48
of
21:48
it
21:49
seems
21:49
like
21:49
just
21:49
a
21:49
natural
21:50
next
21:50
step
21:50
from
21:51
the
21:51
Google
21:51
search
21:52
into
21:53
AI
21:54
search
21:54
and
21:54
retailers
21:55
getting
21:55
involved.
21:56
Again,
21:56
I
21:56
don't
21:57
see
21:57
a
21:57
lot
21:57
of
21:57
risk
21:57
they're
21:58
spending
21:58
this
21:58
money
21:58
elsewhere
21:59
on
21:59
ads
21:59
if
21:59
not.
22:00
Right,
22:01
right,
22:01
right.
22:01
And
22:02
I
22:02
think
22:02
Jen,
22:03
the
22:03
other
22:03
thing
22:03
here
22:03
is
22:04
like
22:04
the
22:04
other
22:05
follow
22:05
up
22:05
question
22:05
to
22:06
that
22:06
would
22:06
be
22:06
do
22:07
you
22:07
hate
22:07
the
22:07
ads
22:08
enough
22:08
that
22:08
you
22:08
would
22:08
pay
22:08
for
22:09
the
22:09
next
22:09
tier
22:09
to
22:10
go
22:10
ad
22:10
free?
22:11
Is
22:11
that
22:11
worth
22:12
it
22:12
to
22:12
you?
22:13
Yeah,
22:13
that
22:13
is
22:14
a
22:14
good
22:14
question.
22:14
And
22:14
no,
22:15
I'm
22:15
not
22:15
paying
22:16
for
22:16
that
22:16
next
22:17
level
22:19
sometimes,
22:19
but
22:20
probably
22:21
not.
22:21
Right.
22:21
I'm
22:22
probably
22:22
just
22:22
going
22:22
to
22:22
learn
22:23
to
22:23
ignore
22:23
the
22:23
ads
22:23
or
22:24
like
22:24
I
22:24
said,
22:24
I'm
22:24
going
22:24
to
22:25
purchase
22:25
from
22:25
the
22:25
ads
22:26
because
22:26
I'm
22:26
asking
22:27
a
22:27
question
22:27
for
22:27
a
22:28
reason.
22:28
So
22:28
the
22:29
one
22:29
thing
22:30
that
22:30
you
22:31
said
22:31
that
22:31
I'm
22:31
not
22:31
sure
22:32
I
22:32
totally
22:32
buy
22:33
into
22:33
is
22:33
that
22:33
it
22:33
won't
22:34
impact
22:34
search
22:35
results
22:36
at
22:36
some
22:36
point.
22:37
Right.
22:37
Like
22:37
I
22:38
don't
22:38
know
22:38
how
22:38
all
22:38
of
22:38
this
22:38
data
22:39
is
22:39
brought
22:39
together
22:40
and
22:40
how
22:41
Target
22:41
or
22:42
an
22:42
Albertsons
22:43
how
22:43
they're
22:44
paying
22:44
and
22:44
for
22:44
what
22:45
level
22:45
of
22:45
visibility.
22:46
I
22:46
know
22:46
it's
22:46
starting
22:47
this
22:47
way,
22:47
but
22:47
will
22:47
it
22:47
eventually
22:48
impact
22:48
results?
22:49
I
22:49
think
22:49
that's
22:50
yet
22:50
to
22:50
be
22:50
seen.
22:51
Right,
22:52
right.
22:52
Chris,
22:52
where
22:53
do
22:53
you
22:53
land
22:53
on
22:53
this
22:53
one?
22:54
Yeah,
22:55
I
22:55
think
22:55
Jed
22:55
brings
22:55
up
22:55
a
22:55
great
22:56
point
22:56
like
22:56
let's
22:56
be,
22:56
let's
22:57
be
22:57
genuine
22:57
and
22:57
honest
22:58
about.
22:58
Yeah,
22:58
I
22:58
mean
22:58
if
22:58
you're
22:59
serving
22:59
up
22:59
ads
23:00
in
23:00
a
23:00
search
23:00
result
23:01
or
23:01
alongside
23:01
a
23:01
search
23:02
result,
23:02
it
23:02
not
23:02
actually
23:03
impact
23:03
the
23:03
search
23:03
result
23:04
itself
23:04
but
23:04
it's
23:04
definitely
23:05
impacting
23:05
behavior
23:06
that
23:06
you're
23:06
going
23:06
to
23:06
take
23:07
based
23:07
on
23:07
that
23:08
research
23:08
result.
23:08
So
23:08
I
23:08
think
23:09
Jen's
23:09
right.
23:10
I'm
23:10
100%
23:11
buying.
23:11
And
23:12
I
23:12
mean
23:12
I
23:12
think
23:12
this
23:12
is,
23:13
this
23:13
one's
23:14
no
23:14
different
23:14
than
23:14
Google
23:15
search
23:15
advertising.
23:15
It's
23:16
just
23:16
a
23:16
new
23:16
form
23:16
of
23:17
it.
23:17
Right.
23:17
The,
23:18
the,
23:18
the
23:18
question,
23:18
I
23:19
question
23:19
if
23:19
it's
23:19
really
23:20
growing
23:20
as
23:20
fast
23:21
as
23:21
Target
23:21
says
23:22
It
23:22
is
23:22
because
23:22
40%
23:23
sounds
23:24
really
23:24
paltry
23:25
to
23:25
me
23:25
given
23:25
how
23:25
much
23:26
we're
23:26
talking
23:26
about
23:26
AI
23:27
and
23:27
the
23:28
transition
23:28
to
23:28
AI
23:29
searches.
23:29
But
23:30
honestly
23:30
that
23:30
could
23:30
say
23:30
more
23:31
about
23:31
target
23:31
than
23:32
ChatGPT
23:32
at
23:33
the
23:33
end
23:33
of
23:33
the
23:33
day.
23:33
So
23:34
you
23:34
know,
23:34
advertising
23:35
goes
23:35
where
23:35
the
23:35
eyeballs
23:36
are.
23:36
The
23:36
searches
23:37
are
23:37
likely
23:37
gonna
23:37
convert
23:38
higher.
23:38
So
23:38
it's
23:38
a
23:38
no
23:39
brainer
23:39
to
23:39
experiment
23:40
here.
23:40
But
23:40
I
23:40
think
23:40
when
23:41
I
23:41
put
23:41
this
23:41
in
23:41
context
23:41
of
23:42
the
23:42
things
23:42
we
23:42
talk
23:42
about
23:42
on
23:43
the
23:43
show
23:43
very
23:43
regularly,
23:44
you
23:45
know,
23:45
while
23:45
we
23:45
can
23:45
all,
23:45
I
23:45
think
23:46
we'll
23:46
all
23:46
agree
23:46
that
23:46
this
23:47
is
23:47
a
23:47
smart
23:47
experiment,
23:48
I
23:48
think
23:48
it's
23:48
a
23:48
much
23:49
better
23:49
experiment
23:50
than
23:50
say,
23:50
like
23:51
approximating
23:51
your
23:52
mobile
23:52
app
23:52
experience
23:53
inside
23:53
of
23:54
ChatGPT
23:54
like
23:55
Target
23:55
did
23:56
back
23:56
in
23:56
November.
23:57
So
23:57
like,
23:57
I
23:57
think
23:58
this
23:58
is
23:58
the
23:58
right
23:59
move,
23:59
but
23:59
I
23:59
question
23:59
some
24:00
of
24:00
the
24:00
other
24:00
moves
24:00
that
24:01
have
24:01
been
24:01
happening
24:02
in
24:02
the
24:03
LLM
24:05
AI
24:05
search
24:06
space.
24:07
Yeah,
24:07
I
24:07
mean,
24:08
I
24:08
think
24:08
the
24:08
other
24:08
thing
24:08
about
24:09
this
24:09
that
24:09
is
24:09
important
24:10
is
24:10
ChatGPT
24:11
is
24:11
also
24:12
the
24:12
most
24:12
well
24:13
known
24:13
and
24:13
arguably
24:14
one
24:14
of
24:14
the
24:14
most
24:15
highly
24:15
utilized
24:16
AI
24:17
search
24:17
platforms
24:18
right
24:18
now.
24:19
And
24:19
so
24:19
I
24:20
think
24:20
that
24:20
if
24:21
I
24:21
think
24:21
it's
24:21
smart
24:22
for
24:22
Albertsons
24:23
and
24:23
Target
24:23
to
24:23
be
24:24
testing
24:24
this,
24:24
like
24:24
Jen
24:25
said,
24:25
I
24:25
don't
24:25
think
24:25
you
24:26
really
24:26
have
24:26
anything
24:26
to
24:27
lose,
24:27
but
24:27
you
24:28
have
24:28
a
24:28
lot
24:28
to
24:28
gain
24:29
in
24:29
terms
24:29
of
24:29
figuring
24:30
out
24:30
what
24:31
can
24:31
happen
24:31
from
24:31
this
24:32
experiment.
24:32
What
24:33
can
24:33
happen
24:33
when
24:33
you're
24:33
on
24:34
one
24:34
of
24:34
the
24:34
largest
24:35
search
24:35
platforms
24:36
and
24:36
then
24:36
refine
24:37
how
24:38
you're
24:38
going
24:38
to
24:39
serve
24:39
up
24:39
ads
24:40
in
24:40
a
24:41
more
24:41
specialized
24:42
search
24:43
platform
24:43
like
24:43
a
24:43
Perplexity
24:44
or
24:44
even
24:45
a
24:45
Gemini
24:45
or
24:46
even
24:46
on
24:46
your
24:46
own
24:46
site.
24:47
How
24:47
are
24:47
you
24:47
going
24:47
to
24:48
be
24:48
thinking
24:48
about
24:48
something
24:49
selling
24:49
that,
24:49
those
24:50
spaces
24:50
or
24:50
that
24:50
ad
24:51
space
24:51
on
24:52
your
24:52
own
24:52
site
24:52
to
24:52
your
24:53
brand
24:53
partners
24:53
so
24:53
that
24:54
you
24:54
know
24:54
how,
24:55
how
24:55
and
24:55
where
24:55
the
24:56
right
24:56
moments
24:56
and
24:56
the
24:57
right
24:57
prompts
24:57
are?
24:58
Hopefully
24:58
not
24:59
at
24:59
9pm
24:59
telling
25:00
Jen
25:00
that
25:00
she
25:00
needs
25:01
15
25:01
parenting
25:02
self
25:02
help
25:02
books.
25:03
Although
25:03
I've
25:04
been
25:04
there,
25:04
Jen
25:04
and
25:04
I've
25:05
purchased
25:05
them.
25:06
When
25:06
the
25:07
Google
25:07
search
25:07
comes
25:08
up,
25:08
it's
25:08
like,
25:09
we'll
25:09
try
25:09
this
25:10
one.
25:10
Seems
25:11
like
25:11
you
25:11
might
25:11
have
25:11
a
25:11
right.
25:11
Idea
25:12
and
25:12
I
25:12
thought
25:13
I
25:13
would
25:13
have
25:13
had
25:13
it
25:13
figured
25:13
out,
25:14
but
25:14
it'll
25:14
just
25:14
be
25:14
serving
25:15
me
25:15
like
25:15
melatonin
25:16
gummies
25:16
probably
25:17
right?
25:17
And
25:17
I'd
25:17
be
25:18
like,
25:18
just
25:18
have
25:19
those
25:19
delivered.
25:19
I
25:19
think
25:20
that's
25:20
the
25:20
easy
25:20
button.
25:20
Let's
25:21
do
25:21
it.
25:21
The
25:21
other
25:21
point
25:22
about
25:22
this
25:22
too
25:22
is
25:22
that
25:23
I
25:23
think
25:23
is
25:23
really
25:23
interesting,
25:24
which
25:24
we
25:24
don't
25:24
have
25:24
time
25:24
for
25:24
today.
25:25
But
25:25
I
25:25
think
25:25
to
25:25
bring
25:25
it
25:25
up
25:26
to
25:26
the
25:26
audience
25:26
too
25:26
is,
25:26
you
25:27
know,
25:27
if,
25:27
if,
25:27
if
25:28
it
25:28
starts
25:28
to
25:28
move
25:28
in
25:29
this
25:29
direction,
25:29
this
25:30
hurts
25:30
Amazon's
25:31
first
25:31
product
25:31
search
25:32
that
25:32
is
25:32
usually
25:32
happening
25:33
on
25:33
their
25:33
site.
25:34
So
25:34
that
25:34
advertising
25:35
revenue
25:35
that
25:35
Amazon
25:36
has
25:36
been
25:36
claiming
25:37
it
25:37
could
25:37
start
25:38
to
25:38
get
25:38
chipped
25:38
away
25:38
here
25:39
over
25:39
time.
25:39
And
25:40
to
25:40
that
25:40
point.
25:41
Now
25:41
let's
25:41
bring
25:41
in
25:42
Maya
25:43
from
25:43
Stripe
25:44
to
25:44
talk
25:44
even
25:44
more
25:45
about
25:45
the
25:45
state
25:45
of
25:46
AI
25:46
and
25:46
agent
25:47
E
25:47
commerce.
25:55
Joining
25:55
us
25:55
for
25:56
today's
25:56
five
25:56
insightful
25:57
minute
25:57
segment
25:57
is
25:57
Maya
25:58
Joseph
25:58
Bakvili.
25:59
Maya
26:00
is
26:00
the
26:00
chief
26:00
revenue
26:01
officer
26:01
of
26:01
AI
26:01
at
26:02
Stripe
26:02
and
26:02
she
26:02
is
26:02
here
26:03
to
26:03
discuss
26:03
what
26:03
she
26:04
is
26:04
really
26:04
hearing
26:04
from
26:05
retailers
26:05
as
26:05
it
26:06
pertains
26:06
to
26:06
agentic
26:07
commerce.
26:08
Maya,
26:08
let's
26:08
start
26:09
with
26:09
this.
26:09
Tell
26:09
us
26:09
about
26:09
your
26:10
role
26:10
as
26:10
CRO
26:11
of
26:11
AI.
26:11
What
26:12
exactly
26:12
does
26:12
that
26:12
mean?
26:13
It's
26:13
the
26:13
best
26:13
job
26:14
I've
26:14
ever
26:14
had.
26:14
Well,
26:15
first
26:15
of
26:15
all,
26:15
thanks
26:15
for
26:15
having
26:16
me.
26:16
Really
26:16
happy
26:16
to
26:16
be
26:17
here.
26:17
Of
26:17
course.
26:17
At
26:18
Stripe,
26:18
we're
26:18
building
26:19
economic
26:19
infrastructure
26:20
for
26:20
AI.
26:21
So
26:21
in
26:21
my
26:21
role
26:21
as
26:22
the
26:22
CRO
26:22
of
26:22
AI,
26:23
I
26:24
help
26:24
both
26:24
startups
26:25
and
26:25
enterprises
26:26
navigate
26:26
their
26:26
AI
26:26
journey.
26:27
So
26:27
whether
26:27
that's
26:28
partnering
26:28
with
26:28
the
26:29
likes
26:29
of
26:29
OpenAI,
26:30
Anthropic
26:31
and
26:31
Cursor
26:32
on
26:32
their
26:32
growth
26:33
needs,
26:34
or
26:34
working
26:34
with
26:34
the
26:35
Fortune
26:35
100
26:36
or
26:36
other
26:36
retailers
26:37
on
26:38
using
26:38
AI
26:39
and
26:39
specifically
26:39
unlocking
26:40
agenda
26:40
commerce,
26:41
I
26:41
get
26:41
to
26:41
help
26:42
partner
26:42
with
26:42
all
26:42
these
26:43
types
26:43
of
26:43
customers
26:44
and
26:44
retailers
26:44
on
26:44
their
26:45
journeys.
26:45
Well,
26:45
Maya,
26:46
I
26:46
think
26:46
some
26:46
of
26:47
our
26:47
listeners
26:47
might
26:47
be
26:47
familiar
26:48
with
26:48
Stripe
26:48
as
26:49
it
26:49
relates
26:49
to
26:49
a
26:49
payments
26:50
platform,
26:51
but
26:51
let's
26:51
elaborate
26:52
on
26:52
that.
26:52
What
26:52
does
26:53
agentic
26:53
commerce
26:54
mean
26:54
to
26:54
you
26:55
and
26:55
how
26:55
do
26:55
you
26:56
define
26:57
it?
26:57
And
26:57
how
26:57
does
26:57
Stripe
26:58
kind
26:58
of
26:58
fit
26:58
into
26:58
all
26:58
of
26:58
that?
26:59
Absolutely.
27:00
Stripe
27:01
is
27:01
so
27:01
much
27:01
more
27:01
than
27:02
a
27:02
payments
27:02
platform.
27:03
We're
27:03
really
27:04
here
27:04
to
27:04
build
27:04
the
27:04
most
27:05
merchant
27:05
friendly
27:05
infrastructure
27:06
to
27:06
help
27:07
our
27:07
retailers
27:08
on
27:08
their
27:09
full
27:09
journey.
27:10
So
27:10
when
27:10
we
27:10
talk
27:10
about
27:10
attentive
27:11
commerce,
27:12
there's
27:12
really
27:12
two
27:12
forms.
27:13
The
27:13
first
27:13
is
27:14
AI
27:14
assisted,
27:15
like
27:15
buying
27:15
inside
27:16
of
27:16
a
27:16
chat
27:16
interface.
27:17
And
27:18
the
27:18
second
27:18
is
27:18
what
27:19
we'd
27:19
say,
27:19
AI
27:19
delegated,
27:20
where
27:21
an
27:21
agent
27:21
can
27:21
purchase
27:22
for
27:22
you.
27:23
The
27:23
industry
27:24
really
27:24
tends
27:24
to
27:24
talk
27:25
about
27:25
attentive
27:25
commerce
27:26
with
27:26
both
27:26
terms
27:27
and,
27:27
and
27:27
so
27:28
we,
27:29
you
27:29
know,
27:29
we
27:29
use
27:29
that
27:30
too
27:30
for
27:30
both
27:30
of
27:30
them.
27:31
I'd
27:31
say
27:31
in
27:31
the
27:31
conversations
27:32
I
27:32
have
27:32
with
27:32
major
27:32
retailers,
27:33
Most
27:33
see
27:34
the
27:34
ChatGPT
27:35
style
27:35
interactions
27:36
as,
27:37
you
27:37
know,
27:37
their
27:37
first
27:38
priority
27:38
right
27:38
now
27:38
within
27:39
the
27:39
agentic
27:39
landscape.
27:40
Our
27:41
goal
27:41
is
27:41
to
27:41
help
27:41
merchants
27:41
with
27:42
all
27:42
of
27:42
that.
27:42
And
27:42
so
27:43
we're
27:43
not
27:43
here
27:43
to
27:43
debate
27:44
the
27:44
definition,
27:44
we're
27:45
just
27:45
here
27:45
to
27:45
help
27:45
our
27:45
merchants
27:46
across
27:46
that
27:46
whole
27:46
journey.
27:47
So
27:47
Maya,
27:48
go
27:48
deeper
27:48
into
27:48
that
27:48
for
27:48
me
27:49
because
27:49
I'm
27:49
curious,
27:49
like
27:49
what
27:49
are
27:50
the
27:50
concerns
27:50
you're
27:50
hearing
27:51
from
27:51
merchants
27:51
or
27:51
what
27:51
are
27:52
the
27:52
needs
27:52
they're
27:52
helping
27:52
you
27:53
that
27:53
you're
27:54
helping
27:54
them
27:54
with
27:54
as
27:54
they
27:54
try
27:55
to
27:55
navigate
27:55
this
27:56
agentic
27:56
AI
27:57
commerce
27:57
landscape.
27:58
It's
27:58
been
27:59
so
27:59
fascinating.
28:00
Six
28:00
months
28:00
ago
28:01
when
28:01
I
28:01
talked
28:01
to
28:01
retailers,
28:03
it
28:03
was
28:03
really
28:04
a
28:05
sentiment
28:05
of
28:06
I'm
28:06
not
28:07
sure
28:07
I
28:07
want
28:07
this
28:07
to
28:08
happen.
28:08
I
28:09
don't
28:09
know
28:09
if
28:09
I'm
28:09
going
28:09
to
28:09
participate.
28:11
Fast
28:11
forward
28:12
six
28:12
months,
28:12
it
28:12
has
28:12
been
28:13
a
28:13
complete
28:13
180.
28:14
Everyone's
28:15
mindset
28:15
from
28:16
the
28:16
board
28:16
to
28:16
the
28:16
C
28:17
suite
28:17
is,
28:18
well,
28:18
obviously
28:19
we
28:19
need
28:19
an
28:19
agenda
28:19
commerce
28:20
strategy.
28:20
So
28:21
you
28:21
know,
28:21
what
28:21
are
28:21
we
28:21
going
28:21
to
28:22
do?
28:22
But
28:22
now,
28:23
even
28:23
with
28:23
that
28:23
said,
28:24
there's
28:24
still
28:24
some
28:24
concerns
28:25
that
28:25
everyone
28:25
has.
28:26
I'd
28:26
say
28:26
it
28:26
really
28:26
comes
28:26
down
28:27
to
28:27
four
28:27
major
28:27
things.
28:28
The
28:28
first
28:28
one
28:28
is
28:28
control.
28:30
Brands
28:30
want
28:30
to
28:30
maintain
28:31
control
28:31
of
28:31
the
28:31
customer
28:32
relationship
28:32
and
28:33
stay
28:33
merchant
28:33
of
28:34
record.
28:34
The
28:34
second
28:35
one
28:35
is
28:35
discoverability.
28:36
How
28:36
do
28:36
you
28:36
make
28:36
sure
28:37
that
28:37
your
28:37
products
28:37
show
28:38
up
28:38
when
28:38
consumers
28:38
are
28:38
searching?
28:39
And
28:39
how
28:39
do
28:39
you
28:39
make
28:39
sure
28:39
your
28:40
product
28:40
catalog
28:40
is
28:41
agent
28:41
legible?
28:42
That's
28:43
been
28:43
one
28:43
of
28:43
the
28:43
biggest
28:43
conversations
28:44
I've
28:44
heard.
28:45
The
28:45
third
28:45
one
28:45
is
28:45
fraud.
28:46
We've
28:47
all
28:47
spent
28:47
20
28:47
years
28:48
blocking
28:49
bots
28:49
and
28:50
now
28:50
we're
28:50
saying
28:50
actually
28:51
bots
28:51
come
28:51
by
28:51
all
28:52
the
28:52
things.
28:52
So
28:53
it's
28:53
a
28:53
real
28:54
mindset
28:54
and
28:55
technology
28:55
shift.
28:56
And
28:56
then
28:56
the
28:56
fourth
28:57
one
28:57
is
28:57
the
28:57
checkout.
28:58
Again,
28:58
we've
28:59
spent
28:59
so
28:59
much
28:59
time
29:00
optimizing
29:00
for
29:01
conversion
29:01
and
29:01
optimizing
29:02
the
29:02
checkout.
29:02
What
29:03
does
29:03
the
29:03
new
29:03
flow
29:04
look
29:04
like
29:05
when
29:05
you
29:05
have
29:06
agenda
29:06
commerce?
29:07
How
29:07
do
29:07
you
29:07
handle
29:07
payments?
29:08
What's
29:08
the
29:09
conversion
29:09
flow?
29:09
How
29:10
do
29:10
you
29:10
handle
29:10
disputes?
29:11
All
29:11
of
29:11
those
29:11
questions.
29:12
The
29:12
good
29:13
news
29:13
is
29:13
these
29:13
are
29:14
all
29:14
addressable
29:14
and
29:15
we're
29:15
partnering
29:15
really
29:15
closely
29:16
with
29:16
retailers
29:16
and
29:17
with
29:17
AI
29:17
companies
29:17
to
29:18
tackle
29:18
them.
29:18
So
29:19
I'm
29:19
optimistic
29:19
that
29:20
we're
29:20
going
29:20
to
29:20
figure
29:20
this
29:21
one
29:21
out.
29:21
Well,
29:22
let's
29:22
go
29:22
deeper
29:22
on
29:22
that
29:23
then,
29:23
Maya.
29:23
I
29:23
mean,
29:24
how
29:24
are
29:24
you
29:25
helping
29:25
these
29:26
merchants
29:26
figure
29:27
out
29:27
how
29:27
to
29:27
get
29:28
control,
29:29
you
29:29
know,
29:29
discoverability,
29:30
fraud
29:31
and
29:31
checkout
29:31
kind
29:32
of
29:32
in
29:32
line?
29:33
Where
29:33
does
29:33
stripe
29:34
come
29:34
in
29:34
and
29:34
how
29:34
are
29:34
you
29:35
uniquely
29:35
positioned
29:36
to
29:36
help
29:36
them
29:36
do
29:36
that?
29:37
What
29:37
I
29:37
like
29:38
to
29:38
say
29:38
in
29:38
conversations
29:39
with
29:39
retailers
29:39
is,
29:40
look,
29:40
we
29:40
build
29:41
it
29:41
so
29:41
you
29:41
don't
29:41
have
29:42
to
29:42
and
29:42
you
29:43
can
29:43
focus
29:43
on
29:44
what
29:44
you
29:44
do
29:44
best.
29:45
It
29:45
starts
29:45
with
29:46
what
29:46
we
29:46
launched
29:46
this
29:47
past
29:47
fall,
29:47
which
29:48
is
29:48
the
29:48
Agent
29:48
Commerce
29:49
Protocol.
29:49
We
29:50
launched
29:50
that
29:51
in
29:51
partnership
29:51
with
29:52
OpenAI.
29:52
And
29:52
the
29:53
idea
29:53
here
29:53
is
29:53
that
29:53
it
29:53
gives
29:54
us
29:54
all
29:54
a
29:54
shared
29:55
technical
29:55
language
29:56
between
29:56
AI
29:57
agents
29:57
and
29:58
businesses
29:59
so
29:59
that
29:59
we
29:59
can
29:59
make
29:59
the
30:00
transactions
30:00
all
30:01
happen
30:01
a
30:01
lot
30:01
easier.
30:03
It's
30:03
live
30:03
today
30:04
in
30:04
instant
30:05
checkout
30:05
with
30:05
ChatGPT.
30:06
And
30:06
we
30:06
have
30:06
brands
30:07
like
30:08
Etsy.
30:09
Several
30:09
Shopify
30:10
merchants
30:10
like
30:10
Glossier
30:11
and
30:11
Spanx
30:12
and
30:12
Walmart
30:13
since
30:13
joined
30:13
as
30:13
well.
30:14
It's
30:15
also
30:15
now
30:15
live
30:15
in
30:16
Microsoft
30:16
Copilot,
30:17
which
30:17
is
30:17
called
30:17
Copilot
30:18
Checkout.
30:18
And
30:18
there
30:19
we
30:19
have
30:19
brands
30:20
like
30:20
Urban
30:20
Outfitters,
30:21
Free
30:21
People,
30:21
Anthropologie
30:22
and
30:23
Etsy.
30:23
And
30:24
what's
30:24
great
30:24
here
30:24
is
30:25
consumers
30:25
can
30:26
go
30:26
through
30:26
the
30:26
whole
30:27
entire
30:27
discovery
30:27
and
30:27
purchase
30:28
journey
30:28
all
30:29
within
30:29
the
30:29
chat
30:29
without
30:29
never
30:30
leaving.
30:31
Now,
30:31
that
30:31
was
30:31
step
30:32
one.
30:32
That
30:32
was
30:32
the
30:33
shared
30:33
language.
30:34
We
30:34
then
30:34
launched
30:35
what
30:35
we
30:35
call
30:35
the
30:36
agenta
30:36
Commerce
30:36
Suite,
30:37
which
30:38
is
30:38
our
30:38
solution
30:39
to
30:39
help
30:39
businesses
30:40
get
30:40
ready
30:40
to
30:40
sell
30:41
through
30:41
various
30:41
AI
30:42
agents
30:42
with
30:42
one
30:42
integration
30:43
and
30:44
without
30:44
changing
30:44
and
30:45
here's
30:45
an
30:45
important
30:45
one
30:45
without
30:46
changing
30:46
their
30:46
existing
30:47
commerce
30:47
system,
30:48
the
30:49
suite
30:49
helps
30:50
our
30:50
retailers
30:51
1
30:52
make
30:52
their
30:52
products
30:52
discoverable
30:53
to
30:53
AI
30:53
agents
30:54
2
30:55
handle
30:55
the
30:56
checkout,
30:56
the
30:56
payments
30:56
and
30:56
fraud
30:57
protection
30:57
importantly
30:58
while
30:58
maintaining
30:59
their
30:59
merchant
31:00
of
31:00
record
31:01
and
31:01
3
31:01
pick
31:01
which
31:02
AI
31:02
agents
31:02
they
31:02
want
31:03
to
31:03
sell
31:03
through
31:03
from
31:03
the
31:03
Stripe
31:03
Dashboard.
31:05
And
31:05
it's
31:05
been
31:05
really
31:05
great.
31:05
We're
31:06
working
31:06
with
31:06
brands
31:06
like
31:07
Coach,
31:07
Kate
31:07
Spade,
31:08
Anthropologie,
31:09
Urban
31:09
Outfitters,
31:09
these
31:10
ones
31:10
I
31:10
named,
31:11
and
31:11
e
31:12
commerce
31:12
platforms
31:13
as
31:13
well
31:13
like
31:14
Wix
31:14
and
31:14
BigCommerce
31:15
and
31:15
WooCommerce
31:15
and
31:16
Squarespace.
31:17
Wow.
31:17
Great
31:18
stuff
31:18
Mai.
31:18
I
31:18
can't
31:18
wait
31:19
to
31:19
have
31:19
you
31:19
back.
31:19
Great
31:20
perspective.
31:20
Thanks
31:21
for
31:21
having
31:21
me
31:21
and
31:21
thanks
31:22
for
31:22
everything
31:22
you
31:22
guys
31:22
are
31:22
doing
31:22
for
31:23
the
31:23
industry.
31:23
It
31:24
is
31:24
a
31:24
wild,
31:24
wild
31:25
time
31:25
right
31:25
now,
31:26
so
31:26
getting
31:26
your
31:26
insights
31:27
all
31:27
the
31:27
time
31:27
really
31:28
helps.
31:33
Headline
31:33
Number
31:33
four
31:34
American
31:34
Eagle
31:35
has
31:35
launched
31:35
the
31:35
AE
31:36
Creator
31:37
Community,
31:37
a
31:37
nationwide
31:38
ambassador
31:39
program
31:39
with
31:39
rewards
31:40
based
31:40
systems
31:41
for
31:41
content
31:42
creators.
31:43
According
31:43
to
31:43
Marketing
31:44
Dive,
31:44
creators
31:44
can
31:45
earn
31:45
points
31:45
by
31:45
completing
31:46
weekly
31:46
and
31:46
monthly
31:47
challenges
31:47
such
31:48
as
31:48
posting
31:48
styling
31:49
videos
31:49
and
31:50
redeem
31:50
accrued
31:50
points
31:51
for
31:51
products,
31:51
gift
31:51
cards
31:52
and
31:52
other
31:52
rewards.
31:53
Points
31:53
are
31:53
valued
31:53
at
31:54
$1
31:54
for
31:54
every
31:55
1,000
31:55
accumulated
31:56
and
31:56
creators
31:56
can
31:57
earn
31:57
them
31:57
through
31:57
challenges
31:58
like
31:58
posting
31:58
TikTok
31:59
videos
31:59
or
31:59
Instagram
32:00
stories
32:00
featuring
32:01
American
32:01
Eagle
32:01
products.
32:02
The
32:02
program
32:02
is
32:03
open
32:03
to
32:03
US
32:04
consumers
32:04
18
32:04
years
32:05
and
32:05
older
32:05
who
32:06
have
32:06
at
32:06
least
32:06
1,000
32:07
followers
32:07
on
32:07
one
32:08
social
32:08
platform.
32:09
The
32:09
goal
32:09
is
32:09
to
32:09
amass
32:10
a
32:10
large
32:10
number
32:11
of
32:11
micro
32:11
influencers
32:12
versus
32:12
a
32:12
smaller
32:13
number
32:13
of
32:13
macro
32:14
influencers.
32:14
Since
32:15
launching
32:15
on
32:15
February
32:16
2nd
32:17
911,
32:18
I
32:18
believe
32:18
that's
32:19
an
32:19
exact
32:19
number.
32:20
911
32:21
creators
32:21
signed
32:22
up
32:22
to
32:22
participate
32:23
with
32:23
over
32:23
200
32:24
migrating
32:24
from
32:24
American
32:25
Eagle's
32:25
previous
32:26
live
32:26
your
32:26
Life
32:27
affiliate
32:28
program.
32:28
Jen,
32:29
I
32:29
know
32:29
this
32:29
one
32:29
is
32:30
of
32:30
interest
32:30
to
32:30
you,
32:31
at
32:31
least
32:31
that's
32:31
my
32:32
hunch.
32:33
How
32:33
unique
32:33
is
32:34
American
32:34
Eagle's
32:34
approach
32:34
to
32:35
micro
32:35
influencing?
32:36
And
32:36
now
32:37
now
32:38
have
32:38
you
32:38
seen
32:39
other
32:39
companies
32:39
try
32:40
to
32:40
organize
32:40
themselves
32:41
structurally
32:42
around
32:42
this
32:42
influencer
32:43
trend?
32:43
Or
32:43
how
32:44
have
32:44
you
32:44
seen
32:44
them
32:44
try
32:44
to
32:44
do
32:45
that?
32:45
I'm
32:46
the
32:46
furthest
32:46
from
32:46
an
32:47
influencer
32:47
just
32:47
to
32:47
be
32:48
clear
32:48
here.
32:49
However,
32:49
we
32:50
do
32:50
hire
32:50
marketing
32:50
professionals
32:52
for
32:52
these
32:52
brands
32:53
and
32:53
so
32:53
we
32:53
need
32:54
to
32:54
know
32:54
enough
32:54
about
32:55
what
32:55
they
32:55
might
32:56
need
32:56
to
32:56
know
32:56
if
32:56
they're
32:56
coming
32:57
in
32:57
and
32:57
affiliate
32:57
programs
32:58
are
32:58
part
32:58
of
32:58
the
32:58
plan.
33:00
So
33:00
this
33:00
reminds
33:01
me
33:01
of
33:01
Rep
33:01
Nation.
33:02
Do
33:02
you
33:02
guys
33:02
know
33:02
what
33:03
Rep
33:03
Nation
33:03
is?
33:04
It's
33:05
this
33:05
like
33:06
college
33:06
rep
33:07
College
33:07
Ambassador
33:08
program
33:08
that
33:08
used
33:09
to
33:09
be
33:09
big
33:10
and
33:10
when
33:10
I
33:10
was
33:11
in
33:11
college
33:11
at
33:11
the
33:12
greatest
33:12
university
33:12
there
33:13
ever
33:13
was,
33:13
Michigan
33:14
State
33:14
University,
33:16
I
33:16
was
33:16
a
33:16
Rep
33:16
Nation
33:17
brand
33:17
ambassador
33:18
for
33:18
Ford
33:18
Motor
33:19
Company
33:19
and
33:20
it
33:20
was
33:20
set
33:20
up
33:20
very
33:20
similar
33:21
to
33:21
this.
33:22
So
33:23
the
33:23
pay
33:23
wasn't
33:24
huge,
33:24
but
33:24
it
33:24
was
33:25
fun.
33:25
It
33:25
was
33:25
gamified.
33:26
I
33:26
was
33:27
earning
33:27
points.
33:28
There
33:28
were
33:28
competitions
33:29
between
33:29
college
33:30
campuses
33:30
and,
33:31
you
33:31
know,
33:31
who
33:31
knows
33:32
what
33:32
we
33:32
won,
33:32
but
33:32
something
33:33
I
33:33
was
33:33
really
33:33
excited
33:33
about
33:34
at
33:34
18,
33:34
19
33:35
years
33:35
old,
33:35
right?
33:36
So
33:36
I
33:36
like
33:37
what
33:37
they're
33:37
doing
33:37
with
33:38
this
33:38
program
33:38
because
33:39
I
33:39
think
33:39
that's,
33:39
that's
33:40
what
33:40
they're
33:40
adding.
33:40
I
33:41
don't
33:41
think
33:41
it's
33:41
wildly
33:42
different
33:42
than
33:42
other
33:42
influencer
33:43
programs,
33:44
but
33:44
they're
33:44
gamifying
33:44
it.
33:45
They're
33:45
adding
33:45
the
33:45
point
33:45
system.
33:47
Who
33:47
knows
33:47
what
33:48
they
33:48
could
33:48
earn?
33:48
But
33:48
maybe
33:49
it's
33:49
even
33:49
a
33:50
trip
33:50
to
33:50
Florida,
33:51
right?
33:52
And
33:52
that's
33:52
still
33:53
a
33:53
whole
33:53
lot
33:53
less
33:54
than
33:54
American
33:54
Eagle
33:55
was
33:55
paying
33:55
a
33:56
major
33:56
influencer.
33:57
Right?
33:58
But
33:58
these
33:58
micro
33:59
influencers
33:59
are
34:00
feeling
34:00
like
34:00
they're
34:00
at
34:01
the
34:01
top
34:01
of
34:01
the,
34:01
the
34:02
world,
34:02
right?
34:02
Like
34:03
they're,
34:03
they're
34:03
being
34:03
flown
34:03
off
34:04
to
34:04
Florida
34:04
for
34:04
this,
34:05
this
34:05
experience.
34:06
So
34:07
I
34:07
think
34:07
it's
34:07
smart.
34:08
There
34:08
are
34:09
certainly
34:09
other
34:09
micro
34:09
influencer
34:10
programs
34:11
out
34:11
there.
34:11
I
34:11
haven't
34:12
seen
34:12
one
34:12
as
34:12
specific
34:13
as
34:13
this.
34:14
Points
34:14
based
34:14
and
34:15
sort
34:15
of
34:15
gamified.
34:16
You
34:16
know,
34:17
the
34:17
younger
34:17
generation,
34:17
they
34:18
don't
34:18
want
34:18
to
34:18
screw
34:19
up
34:19
their
34:19
streak.
34:20
So
34:20
think
34:20
of
34:20
Snapchat
34:21
like
34:21
they've
34:21
got
34:21
these
34:21
streaks
34:22
with
34:22
people,
34:23
right?
34:23
And
34:24
my
34:24
workout
34:24
app,
34:25
I
34:25
have
34:25
a
34:25
streak
34:26
now.
34:26
Just,
34:27
just
34:27
so
34:27
you
34:27
know,
34:27
I'm
34:28
totally
34:28
in.
34:28
I
34:28
always
34:29
thought
34:29
they
34:29
were
34:29
crazy
34:30
with
34:30
their
34:30
Snapchat
34:31
streaks,
34:31
but
34:31
I
34:32
am
34:32
motivated
34:32
by
34:33
that
34:33
streak.
34:33
And
34:33
I
34:33
think
34:34
that's
34:35
what
34:35
American
34:35
Eagle
34:35
is
34:35
trying
34:36
to
34:36
do
34:36
here,
34:36
right?
34:36
They're
34:37
trying
34:37
to
34:37
say,
34:37
hey,
34:37
keep
34:37
your
34:37
streak
34:38
alive.
34:38
Like,
34:39
keep
34:39
sharing
34:39
the
34:39
jeans.
34:40
Share
34:40
something
34:40
this
34:40
month.
34:41
That's
34:41
more
34:41
fall.
34:41
Share
34:42
something
34:42
this
34:42
month.
34:44
I
34:44
think
34:44
it's
34:44
cool
34:44
for
34:45
that
34:45
college
34:46
age.
34:46
It
34:47
looks
34:47
like
34:47
you
34:47
have
34:47
to
34:47
have
34:47
a
34:48
thousand
34:48
followers,
34:48
but
34:49
I
34:49
feel
34:49
like
34:49
most
34:49
young
34:50
people
34:50
can
34:51
get
34:51
to
34:51
that
34:51
number
34:52
and
34:52
they
34:52
have
34:53
it
34:53
structured
34:53
in
34:53
a
34:53
way
34:53
that
34:53
it's
34:54
easy
34:54
to
34:54
get
34:54
started.
34:55
And
34:55
then
34:55
they'll
34:55
see
34:56
that
34:56
customer
34:56
lifetime
34:57
value,
34:57
or
34:57
I
34:57
should
34:57
say
34:58
influencer
34:58
lifetime
34:59
value
35:00
increase
35:01
if
35:01
these
35:01
people
35:01
stick
35:02
around.
35:03
Could
35:03
also
35:03
be
35:04
cool
35:04
for,
35:04
let's
35:04
say
35:04
a
35:05
stay
35:05
at
35:05
home
35:05
parent
35:06
that
35:06
has
35:06
a
35:06
little
35:06
bit
35:07
of
35:07
time
35:07
on
35:07
their
35:07
hands
35:08
and
35:08
wants
35:08
to
35:08
get
35:09
involved,
35:09
but
35:09
couldn't
35:09
be
35:10
that
35:10
major
35:10
influencer.
35:11
I
35:11
think
35:12
I,
35:12
I
35:12
trust
35:13
my
35:13
neighbor
35:14
down
35:14
the
35:14
street
35:14
to
35:15
talk
35:15
to
35:15
me
35:15
about
35:15
her
35:16
jeans
35:16
and
35:16
her
35:16
American
35:17
Eagle
35:17
products
35:18
a
35:18
whole
35:18
lot
35:18
more
35:19
than
35:20
Gwen
35:20
Stefani
35:21
or
35:21
I
35:21
don't
35:21
know
35:21
who
35:21
might
35:21
be
35:22
out
35:22
there
35:22
that
35:22
might
35:22
be
35:22
a
35:23
major
35:23
influencer.
35:23
Right.
35:24
The
35:24
trust
35:24
level
35:24
is
35:25
there.
35:26
Good
35:26
to
35:27
know
35:27
you
35:27
don't
35:27
trust
35:27
Gwen
35:27
Stefani.
35:28
I
35:28
mean,
35:28
I
35:28
didn't
35:29
mean
35:29
to
35:29
do
35:29
that
35:29
to
35:29
you.
35:29
Gwen
35:30
I
35:30
probably
35:30
trust
35:31
you
35:31
with
35:31
anything.
35:32
Shots
35:32
fired.
35:33
Shots
35:33
fired.
35:33
She
35:34
came
35:34
to
35:34
mind.
35:34
She
35:35
came
35:35
to
35:35
mind.
35:35
No,
35:36
but
35:36
you're
35:36
bringing
35:36
up
35:36
a
35:36
great
35:37
point,
35:37
Jen.
35:37
I
35:37
mean,
35:37
it's
35:38
kind
35:38
of
35:38
why
35:38
the
35:38
long
35:39
tail
35:39
of
35:39
E
35:40
commerce
35:40
works
35:41
in
35:41
the
35:41
way
35:41
that
35:41
it
35:41
does.
35:42
And
35:42
also
35:42
I
35:43
do
35:43
want
35:43
to
35:43
point
35:43
out
35:43
that
35:44
it
35:44
hurts
35:44
me
35:44
every
35:45
time
35:45
you,
35:45
Michigan,
35:46
you
35:46
mentioned
35:46
Michigan
35:47
State
35:47
to
35:47
me
35:47
because
35:47
it
35:47
brings
35:48
back
35:48
the,
35:48
the
35:48
horrible
35:49
memories
35:49
of
35:49
the
35:50
Rose
35:50
bowl
35:50
when
35:51
you
35:51
defeated
35:51
my
35:51
beloved
35:52
Stanford
35:52
Cardinal.
35:53
So,
35:53
so
35:53
yeah.
35:54
So
35:54
I'm.
35:54
So
35:54
thank
35:55
you
35:55
for
35:55
that.
35:55
I'm
35:55
going
35:55
to
35:55
take
35:56
a
35:56
step
35:56
back,
35:56
give
35:56
and
35:57
the
35:57
floor
35:57
here
35:57
now
35:57
to
35:58
see
35:58
what
35:58
she
35:58
thinks
35:58
as
35:58
I
35:59
recollect
35:59
myself.
36:01
Well,
36:01
I
36:01
think
36:02
there's
36:02
a
36:02
great,
36:02
I
36:03
would
36:03
point
36:03
our
36:03
audience
36:04
to
36:04
a
36:04
really
36:05
great
36:05
study
36:05
that
36:05
business
36:06
of
36:06
fashion
36:06
just
36:07
put
36:07
out.
36:07
Diana
36:07
Pearl,
36:09
one
36:09
of
36:09
the
36:09
editors
36:10
there,
36:10
talked
36:11
explicitly
36:12
about
36:12
this
36:12
new
36:13
creator
36:14
marketplace
36:14
and
36:14
what
36:15
this
36:15
looks
36:15
like
36:15
and
36:15
why
36:15
brands
36:16
are
36:16
going
36:16
directly
36:17
to
36:18
these
36:18
micro
36:18
influencers
36:19
versus
36:20
putting
36:20
a
36:20
huge
36:21
focus
36:21
on
36:21
the
36:21
macro
36:22
influencers
36:22
that
36:23
we've
36:23
seen
36:23
for
36:23
years
36:23
and
36:24
years.
36:24
And
36:24
one
36:24
of
36:24
the
36:24
best
36:25
things
36:25
that
36:25
Diana
36:26
said
36:26
in
36:26
that
36:26
report,
36:26
or
36:27
at
36:27
least
36:27
one
36:27
that
36:27
stuck
36:28
with
36:28
me,
36:28
is
36:28
that
36:29
you
36:29
get
36:30
more
36:30
quality
36:30
engagement
36:31
and
36:31
reach
36:31
with
36:31
somebody
36:32
who
36:32
has
36:32
10,000
36:33
followers
36:34
than
36:34
you
36:34
do
36:35
a
36:35
celebrity
36:35
or
36:36
influencer
36:36
with
36:37
millions
36:37
of
36:37
followers.
36:38
And
36:38
the
36:38
way
36:38
to
36:39
think
36:39
about
36:39
that
36:39
is
36:40
the
36:40
difference
36:40
between
36:41
getting
36:41
engagement
36:42
from
36:42
purchasing
36:43
a
36:43
very
36:43
expensive
36:44
super
36:44
bowl
36:44
spot
36:45
and
36:46
having
36:46
a
36:46
lot
36:46
of
36:46
awareness
36:47
but
36:47
not
36:47
a
36:47
lot
36:48
of
36:48
actual
36:49
purchasing
36:49
happening
36:50
versus
36:51
looking
36:51
at
36:51
that
36:51
10,000
36:52
follower
36:53
creator
36:54
who
36:54
you
36:54
see
36:55
real
36:55
results.
36:56
You
36:56
have,
36:57
you
36:57
know,
36:57
orders
36:58
coming
36:58
in
36:58
from
36:58
that
36:58
person
36:59
because
36:59
it
36:59
is
37:00
the
37:00
more
37:01
authentic
37:02
and
37:03
reputable
37:04
person
37:04
like
37:05
Jen
37:05
just
37:05
talked
37:06
about
37:06
down
37:06
the
37:06
street
37:06
who
37:07
she'd
37:07
rather
37:07
get
37:08
gain
37:09
confidence
37:09
in
37:09
her
37:09
purchase
37:10
from.
37:10
But
37:10
I
37:10
think
37:11
these
37:11
brands
37:12
are
37:12
very
37:13
smart
37:13
in
37:14
how
37:14
they're
37:14
approaching
37:14
this
37:15
because
37:16
all
37:16
they
37:16
have
37:16
to
37:16
do
37:17
is
37:17
put
37:17
these
37:17
challenges
37:18
out.
37:18
That
37:19
costs
37:19
them
37:19
nothing
37:20
to
37:20
put
37:20
together
37:21
these
37:21
challenges
37:22
and
37:22
look
37:22
at
37:22
all
37:22
the
37:23
content
37:23
that
37:23
they're
37:24
getting.
37:24
And
37:24
they
37:25
only
37:25
in
37:25
some
37:26
cases
37:26
are
37:27
having
37:27
to
37:27
pay
37:27
for
37:27
that
37:28
content
37:28
when
37:28
a
37:28
sale
37:29
is
37:29
made.
37:29
Because
37:29
all
37:29
of
37:30
these
37:30
are
37:30
set
37:30
up
37:30
in
37:30
a
37:31
variety
37:31
of
37:31
different
37:31
affiliate
37:33
manners
37:33
that
37:34
really,
37:34
you
37:35
know,
37:35
all
37:35
they're,
37:35
all
37:36
they're
37:36
getting
37:36
is
37:36
the
37:36
upside
37:37
of
37:37
this.
37:37
They
37:37
have
37:38
tons
37:38
of
37:38
content
37:39
being
37:39
put
37:39
out
37:39
so
37:39
that
37:40
they're
37:40
discoverable
37:41
on
37:41
any
37:42
platform
37:42
from
37:42
Google
37:43
to
37:43
the
37:44
LLM
37:44
search
37:44
that
37:45
we
37:45
were
37:45
just
37:45
talking
37:45
about.
37:46
And
37:47
all
37:47
they
37:47
have
37:47
to
37:47
do
37:48
is
37:48
put
37:48
these
37:48
challenges
37:49
out
37:49
there
37:49
and
37:49
see
37:49
what
37:50
comes
37:50
to
37:50
them.
37:51
My
37:51
only
37:51
question
37:52
is
37:53
how
37:53
long
37:53
this
37:53
trend
37:54
will
37:54
last.
37:54
Because
37:54
I
37:55
do,
37:55
I
37:55
mean,
37:55
like
37:56
we
37:56
just
37:56
talked
37:56
about,
37:57
we
37:57
were
37:57
all
37:58
in
37:58
on
37:58
Kim
37:58
K
37:59
and
37:59
all
37:59
the
38:00
macro
38:00
influencers,
38:01
now
38:01
we're
38:01
going
38:01
micro.
38:02
What
38:02
does
38:03
this
38:03
platform
38:03
look
38:03
like?
38:04
And
38:04
how
38:04
long
38:04
is
38:05
this
38:05
side
38:05
hustle
38:06
kind
38:06
of
38:06
sustainable
38:07
for
38:08
the
38:08
brands?
38:08
And
38:09
how
38:09
long,
38:09
like,
38:09
what
38:09
should
38:09
their
38:10
strategy
38:10
be
38:10
on
38:11
how
38:11
much
38:11
they
38:11
invest
38:12
in
38:12
this
38:12
micro
38:13
influencer
38:13
trend?
38:14
But
38:14
Chris,
38:14
what,
38:15
where
38:15
do
38:15
you
38:16
land
38:16
here?
38:16
Where
38:16
would
38:17
you
38:17
add
38:17
on
38:18
to?
38:18
Well,
38:19
I
38:19
think
38:19
to
38:19
your
38:19
last
38:20
point,
38:20
I
38:20
think,
38:20
I
38:20
don't
38:21
think
38:21
this
38:21
trend's
38:21
going
38:21
anywhere.
38:22
In
38:22
fact,
38:22
I
38:22
wrote
38:22
about
38:22
it
38:22
as
38:23
one
38:23
of
38:23
my
38:23
big
38:23
takeaways
38:23
from
38:24
the
38:24
super
38:24
bowl
38:24
commercials.
38:25
I
38:25
couldn't
38:25
believe
38:25
the
38:25
amount
38:26
of
38:26
technology
38:26
companies
38:27
that
38:27
were
38:27
advertising
38:28
basically
38:29
to
38:29
this
38:29
community
38:29
like,
38:30
like,
38:31
come
38:31
start
38:31
your
38:32
website
38:32
with
38:32
us.
38:32
Wix
38:33
and
38:33
you
38:33
know,
38:34
Squarespace.
38:35
Everybody
38:35
was
38:35
like
38:35
all
38:36
in
38:36
on
38:36
that.
38:36
So
38:37
I
38:37
don't
38:37
think
38:37
this
38:37
is
38:37
going
38:37
anywhere.
38:38
And
38:38
AI
38:38
is
38:38
just
38:38
going
38:39
to
38:39
only
38:39
make
38:39
it
38:39
easier
38:39
because
38:40
it
38:40
enables
38:40
you
38:40
to
38:41
not
38:41
have
38:41
the
38:41
startup
38:42
costs
38:42
to
38:42
do
38:42
it
38:43
anymore.
38:43
Like
38:43
you
38:43
can
38:43
build
38:44
your
38:44
brand
38:44
with
38:44
imagery
38:45
and
38:45
everything
38:45
at
38:46
no
38:46
cost
38:46
where
38:46
before
38:47
that
38:47
used
38:47
to
38:47
cost
38:47
you
38:47
thousands
38:48
of
38:48
dollars.
38:48
So
38:49
I
38:49
don't
38:49
think
38:50
it's,
38:50
I
38:50
don't
38:50
think
38:50
it's
38:51
slowing.
38:51
Going
38:51
to
38:51
slow
38:52
down,
38:52
you
38:52
know,
38:52
one
38:53
bit.
38:53
The
38:53
other
38:53
point
38:54
that
38:54
you
38:54
guys
38:54
both
38:55
brought
38:55
up
38:55
to
38:55
me,
38:55
which
38:55
I
38:55
hadn't
38:56
thought
38:56
about
38:56
before
38:56
this
38:56
conversation,
38:57
which
38:57
is
38:57
why
38:57
I
38:57
love
38:57
doing
38:58
the
38:58
shows.
38:58
I
38:58
remember
38:58
back
38:59
in
38:59
my
38:59
days,
38:59
you
38:59
know,
39:00
heading
39:00
up
39:01
home
39:01
furnishings
39:01
for
39:02
target
39:02
for
39:02
target.com
39:03
and,
39:04
you
39:04
know,
39:04
just
39:04
remembering
39:05
the
39:05
huge
39:05
licensing
39:06
fees
39:06
we
39:06
would
39:07
pay
39:07
to
39:07
these
39:07
celebrities
39:08
to
39:08
have
39:08
them
39:08
endorse
39:09
our
39:09
towels,
39:10
for
39:10
example,
39:11
you
39:11
know,
39:11
and
39:11
you
39:11
get
39:12
a
39:12
lot
39:12
of
39:12
fanfare
39:12
from
39:13
it
39:13
in
39:13
the
39:13
beginning,
39:13
and
39:13
then
39:13
after
39:14
a
39:14
couple
39:14
years
39:14
you'd
39:14
be
39:14
like,
39:15
jesus,
39:15
why
39:15
are
39:15
we
39:16
paying
39:16
these
39:16
royalty
39:17
commissions
39:17
to
39:17
these
39:17
guys?
39:18
Like,
39:18
how
39:18
much
39:18
is
39:18
it
39:19
really
39:19
worth
39:19
to
39:19
us?
39:20
So,
39:20
you
39:20
know,
39:20
I
39:21
think
39:21
this
39:21
helps
39:22
ameliorate
39:22
you
39:23
falling
39:23
into
39:23
that
39:24
trap
39:24
or
39:24
into
39:25
that
39:25
position.
39:25
And
39:25
so
39:26
my
39:26
only
39:26
question
39:26
to
39:27
this
39:27
from
39:27
an
39:27
executive
39:28
standpoint
39:28
is,
39:29
you
39:29
know,
39:30
the
39:30
more
39:30
people
39:30
you
39:30
bring
39:31
into
39:31
anything,
39:31
the
39:31
harder
39:32
it
39:32
becomes
39:32
to
39:32
manage.
39:33
But
39:33
I
39:33
think
39:33
the
39:34
way
39:34
E
39:34
commerce
39:35
works,
39:35
technology
39:35
can
39:36
make
39:36
that
39:36
pretty
39:36
easy.
39:37
So
39:37
for
39:37
me,
39:37
from
39:37
an
39:38
executive
39:38
standpoint,
39:38
it
39:38
comes
39:39
down
39:39
to
39:39
three
39:39
things.
39:40
You
39:40
gotta
39:40
make
39:40
somebody
39:41
accountable
39:41
for
39:41
the
39:41
program.
39:43
Number
39:43
two,
39:44
you
39:44
have
39:44
to
39:44
assess
39:44
the
39:45
roi
39:45
and
39:46
then
39:46
three,
39:46
commit
39:46
the
39:47
right
39:47
amount
39:47
of
39:47
resources
39:48
to
39:48
it
39:48
over
39:48
time.
39:49
And
39:49
if
39:49
you
39:49
do
39:50
that
39:50
and
39:50
you
39:50
do
39:51
that
39:51
effectively,
39:51
I
39:52
think
39:52
it's
39:52
an
39:52
idea
39:53
that
39:53
many,
39:54
many,
39:54
many
39:54
more
39:55
retailers
39:55
should
39:55
all
39:55
get
39:56
behind,
39:56
quite
39:56
frankly.
39:57
All
39:57
right,
39:57
let's
39:58
go
39:58
to
39:58
headline
39:58
number
39:58
five.
39:59
Independent
39:59
convenience
40:00
stores
40:00
are
40:00
deploying
40:01
AI
40:01
powered
40:02
voice
40:02
insights
40:03
across
40:03
5,200
40:04
locations
40:05
through
40:05
a
40:05
partnership
40:06
between
40:06
The
40:06
Strategic
40:07
alliance
40:07
for
40:07
Affiliated
40:08
Store
40:08
Owners
40:09
of
40:09
America
40:10
and
40:10
In
40:11
Store
40:12
AI.
40:12
According
40:12
to
40:13
C
40:13
Store
40:13
Dive,
40:14
the
40:14
technology
40:15
captures
40:15
interactions
40:16
between
40:16
cashiers
40:17
and
40:17
customers
40:17
and
40:18
feeds
40:18
that
40:18
data
40:18
into
40:19
dashboards
40:19
where
40:20
team
40:20
members
40:20
can
40:20
monitor
40:21
how
40:21
employees
40:22
greet
40:22
customers,
40:23
mention
40:24
loyalty
40:24
programs
40:25
and
40:25
attempt
40:26
to
40:26
upsell.
40:27
Jagar
40:27
Patel,
40:28
VP
40:28
of
40:29
SaaSoa
40:32
USA,
40:33
said,
40:33
quote,
40:33
by
40:34
capturing
40:34
and
40:34
analyzing
40:35
the
40:35
everyday
40:36
conversations
40:37
at
40:37
the
40:37
counter,
40:37
In
40:37
Store
40:38
AI
40:39
gives
40:39
our
40:39
retail
40:39
members
40:40
clear
40:40
transparency
40:41
into
40:41
what's
40:42
working
40:42
and
40:43
what
40:43
isn't.
40:43
End
40:44
quote.
40:44
The
40:44
rollout
40:45
began
40:45
this
40:45
month
40:46
and
40:46
will
40:46
continue
40:46
through
40:47
the
40:47
year
40:47
with
40:47
implementation
40:48
support,
40:48
best
40:49
practice
40:49
playbooks,
40:50
and
40:50
access
40:50
to
40:51
insights
40:51
for
40:51
leaders
40:52
at
40:52
various
40:52
organizational
40:54
levels.
40:55
Chris,
40:55
I'm
40:55
going
40:55
to
40:56
go
40:56
to
40:56
you
40:56
first
40:56
on
40:56
this
40:56
one.
40:57
You
40:57
remember
40:58
we
40:58
interviewed
40:59
J.
40:59
Bleszinski,
41:00
the
41:01
founder
41:01
of
41:01
In
41:02
Store
41:02
AI,
41:02
back
41:03
at
41:03
Naps
41:03
a
41:04
few
41:04
years
41:04
ago.
41:05
We
41:05
were
41:05
really
41:05
impressed
41:06
by
41:06
the
41:06
technology
41:07
and
41:07
so
41:07
I
41:08
congrats
41:08
to
41:08
Jay.
41:09
This
41:09
is
41:09
a
41:09
big,
41:10
big
41:10
announcement
41:10
for
41:11
you
41:11
and
41:11
the
41:11
team.
41:12
But
41:12
Chris,
41:12
I
41:12
wonder
41:14
what
41:14
your
41:14
thought
41:14
is
41:15
now
41:15
in
41:15
2026.
41:17
How
41:17
should
41:17
operators
41:18
balance
41:18
the
41:19
operational
41:19
benefits
41:20
of
41:20
this
41:20
technology
41:21
with
41:21
the
41:21
potential
41:22
employee
41:22
privacy
41:23
concerns,
41:23
if
41:24
any?
41:25
Yeah,
41:25
I
41:26
mean
41:26
this
41:26
was
41:26
a
41:26
really
41:26
tricky,
41:27
tricky
41:28
question
41:28
in
41:28
today's
41:29
environment,
41:29
but
41:29
it's
41:29
also
41:30
one,
41:30
you
41:30
know,
41:30
to
41:30
your
41:31
point,
41:31
when
41:31
I
41:32
was
41:32
super
41:32
pumped
41:33
when
41:33
we
41:33
interviewed
41:33
him
41:33
because
41:34
this
41:34
concept
41:34
is
41:35
near
41:35
and
41:35
dear
41:36
to
41:36
my
41:36
heart.
41:36
And
41:36
so
41:36
for
41:36
that
41:36
I'm
41:37
going
41:37
to
41:37
tell
41:37
you
41:37
a
41:37
little
41:37
story
41:38
like
41:38
so
41:38
when
41:38
I
41:38
was
41:38
a
41:38
district
41:39
manager
41:39
at
41:40
Target,
41:40
there
41:40
was
41:41
a
41:41
big
41:41
push
41:42
to
41:42
have
41:43
our
41:43
stores
41:43
and
41:44
our
41:44
cashiers
41:45
specifically
41:45
to
41:45
sell
41:46
red
41:46
cards.
41:47
And
41:47
getting
41:48
compliance
41:49
for
41:49
that
41:49
was
41:49
really
41:50
tough.
41:50
And
41:51
so
41:51
I
41:51
ended
41:51
up
41:52
coming
41:52
up
41:52
with
41:52
this
41:52
system
41:53
where
41:53
I
41:53
created
41:53
a
41:54
spreadsheet
41:54
and
41:55
I
41:55
required
41:55
all
41:56
of
41:56
my
41:56
managers
41:57
of
41:57
the
41:57
cashiers
41:58
to
41:58
send
41:59
it
41:59
to
41:59
me
41:59
every
42:00
evening
42:00
to
42:01
update
42:01
me
42:01
on
42:02
how
42:02
their
42:02
cashiers
42:03
were
42:03
performing
42:03
in
42:03
terms
42:04
of
42:04
selling
42:04
red
42:04
cars
42:05
cards.
42:05
And
42:05
you
42:05
know
42:06
what,
42:06
it
42:06
worked.
42:08
But
42:08
at
42:08
the
42:08
end
42:09
of
42:09
the
42:09
day,
42:09
it
42:09
worked
42:10
so
42:10
well
42:10
that
42:11
we
42:11
actually
42:11
were
42:11
like
42:11
became
42:12
one
42:12
of
42:12
the
42:12
best
42:12
selling
42:13
region,
42:14
best
42:14
sellers
42:15
of
42:15
red
42:15
cards
42:15
in
42:16
the
42:16
entire
42:16
west
42:17
coast
42:17
region
42:17
of
42:18
Target.
42:18
Like
42:18
that's
42:19
how
42:19
well
42:19
it
42:19
worked.
42:19
But
42:20
the
42:20
thing
42:20
is,
42:20
for
42:20
me,
42:20
I
42:21
took
42:21
no
42:21
satisfaction
42:22
in
42:22
that
42:23
because
42:23
it
42:23
was
42:24
incredibly
42:24
time
42:25
consuming
42:25
and
42:26
a
42:26
huge
42:26
pain
42:27
in
42:27
the
42:27
butt
42:27
for
42:27
me.
42:27
But
42:28
most
42:28
importantly
42:28
for
42:29
my
42:29
stores,
42:29
I
42:29
didn't
42:30
want
42:30
them
42:31
having
42:31
to
42:31
waste
42:31
time
42:32
recapping
42:33
data
42:33
for
42:34
me
42:34
that's
42:34
completely
42:35
inefficient.
42:36
So
42:36
a
42:36
system
42:36
like
42:36
this
42:37
that
42:37
could
42:38
monitor
42:38
it
42:38
in
42:38
real
42:39
time
42:39
to
42:39
understand
42:40
like
42:40
did
42:40
the
42:41
cashier
42:41
offer
42:41
a
42:41
red
42:42
card
42:42
to
42:42
that
42:42
person?
42:43
Did
42:43
somebody
42:44
sign
42:44
up
42:44
off
42:45
that
42:45
offer?
42:46
All
42:46
that,
42:46
all
42:46
that
42:47
data
42:47
should
42:47
now
42:48
be
42:48
coordinated
42:48
and
42:49
could
42:49
be
42:49
analyzed
42:50
as
42:50
an
42:51
executive
42:51
or
42:52
as
42:52
the
42:52
managerial
42:52
staff
42:53
in
42:53
the
42:53
store
42:53
to
42:53
help
42:54
improve
42:54
things.
42:54
So,
42:55
so
42:55
for
42:55
that
42:55
reason,
42:56
I,
42:56
I
42:56
love
42:56
this,
42:57
and
42:57
that's
42:57
just
42:57
one
42:58
example.
42:58
But
42:58
you
42:58
can
42:58
go
42:59
into
42:59
all
42:59
kinds
42:59
of
42:59
different
43:00
things,
43:00
like
43:00
upsells,
43:01
like
43:01
you
43:01
talked
43:01
about.
43:02
But,
43:02
you
43:02
know,
43:03
the
43:03
question
43:03
is
43:03
the
43:03
privacy.
43:04
But
43:04
I
43:05
don't
43:05
think
43:05
that's
43:05
as.
43:06
I
43:06
don't
43:06
think
43:06
that's
43:06
a.
43:06
As
43:07
big
43:07
of
43:07
a
43:07
concern
43:07
as
43:08
the
43:08
media
43:08
would
43:08
like
43:08
us
43:08
to
43:09
believe.
43:09
I
43:09
mean,
43:09
first
43:09
of
43:10
all,
43:10
they're
43:10
employees.
43:11
They're
43:11
not
43:11
shoppers.
43:12
And
43:13
you
43:13
already
43:13
have
43:14
cameras
43:14
trained
43:15
on
43:15
the
43:15
cashiers
43:16
anyway.
43:16
So
43:17
this
43:17
is
43:17
just
43:17
a
43:17
further
43:18
step
43:18
in
43:18
compliance,
43:19
which
43:20
also
43:20
probably
43:20
helps
43:21
you
43:21
at
43:21
the
43:21
end
43:21
of
43:21
the
43:21
day,
43:22
pick
43:22
up
43:22
on
43:22
some
43:22
other
43:22
things
43:23
too,
43:23
which
43:23
could
43:23
be,
43:24
you
43:24
know,
43:24
illegal
43:24
activities,
43:25
which
43:25
wasn't
43:25
talked
43:26
about
43:26
in
43:26
the
43:26
article.
43:27
You
43:27
know,
43:27
if
43:27
they're
43:28
letting
43:28
their
43:28
friends
43:28
come
43:28
by
43:28
and
43:29
their
43:29
friends
43:29
are
43:29
like,
43:29
hey,
43:30
can
43:30
you
43:30
give
43:30
me
43:30
a
43:30
deal
43:30
on
43:31
this?
43:31
You
43:31
know,
43:31
don't.
43:31
Don't
43:32
swipe
43:32
the
43:32
yogurt
43:32
today,
43:33
Fran.
43:33
You
43:34
know,
43:34
whatever
43:34
it
43:34
is.
43:34
But,
43:35
like,
43:35
that
43:35
stuff
43:36
happens
43:36
too.
43:36
So,
43:37
so,
43:37
yeah,
43:37
so,
43:37
net.
43:38
Net.
43:38
I
43:38
like
43:38
this.
43:39
I'm,
43:39
I'm
43:40
less
43:40
concerned
43:40
about
43:40
it
43:41
from
43:41
a
43:41
privacy
43:41
standpoint
43:42
and
43:42
think
43:42
it
43:42
has
43:43
real
43:43
legs
43:43
here
43:43
in
43:43
the
43:44
long
43:44
run.
43:45
Yeah,
43:45
I,
43:45
I,
43:46
Especially
43:46
in
43:46
a
43:46
convenience
43:47
store.
43:47
I
43:47
mean,
43:48
cameras
43:48
are
43:48
core
43:49
to
43:49
a
43:49
convenience
43:50
store
43:50
store,
43:51
especially
43:51
with
43:51
their
43:51
lean
43:52
labor
43:53
that
43:53
they
43:53
already
43:53
have.
43:53
Like,
43:54
things
43:54
are
43:54
already
43:54
being
43:55
tracked.
43:55
So
43:56
I,
43:56
I
43:56
don't
43:57
buy
43:57
the
43:57
privacy
43:58
component
43:59
to
43:59
this.
43:59
And
44:00
I
44:00
actually
44:00
think
44:00
this
44:01
is
44:01
something
44:01
that's
44:01
a
44:02
win
44:02
across
44:02
the
44:02
board
44:03
for
44:03
everyone.
44:04
Think
44:04
about
44:04
your,
44:05
your
44:05
cashier
44:06
working
44:06
at
44:07
the
44:07
convenience
44:07
store
44:08
by
44:08
themselves.
44:09
Like,
44:09
no
44:09
one's
44:10
there
44:10
to
44:10
track
44:10
their
44:11
progress,
44:11
to
44:11
incentivize
44:12
them,
44:12
to
44:13
reward
44:13
them,
44:13
to
44:14
be
44:14
like,
44:14
yes,
44:14
you
44:14
did
44:15
a
44:15
great
44:15
job.
44:15
Look
44:16
at
44:16
all
44:16
the
44:16
stuff
44:16
that
44:16
you
44:16
accomplish,
44:17
accomplish,
44:17
you
44:17
know,
44:18
while
44:18
you
44:18
were
44:18
working
44:18
there
44:19
and
44:19
continue
44:20
to
44:20
promote,
44:20
you
44:21
know,
44:21
esteem
44:22
among
44:22
your
44:23
staff
44:23
that's
44:23
working
44:23
in
44:24
these
44:24
stores
44:24
most
44:25
of
44:25
the
44:25
time
44:25
independently.
44:26
Then
44:27
I
44:27
think
44:27
you
44:27
look
44:27
at
44:27
all
44:28
of
44:28
the
44:28
data
44:28
that
44:28
you
44:28
now
44:29
are
44:29
able
44:29
to
44:29
provide
44:29
both
44:30
your
44:30
retail
44:30
partners,
44:31
the
44:31
owners
44:31
of
44:31
the
44:32
convenience
44:32
stores,
44:32
and
44:33
the
44:33
brands
44:34
that
44:34
are
44:34
running
44:34
these
44:34
promotions.
44:35
And
44:35
that's
44:35
one
44:35
of
44:36
the
44:36
things
44:36
that
44:36
Jay
44:36
told
44:37
us
44:37
back
44:37
when
44:37
we
44:37
interviewed
44:38
him
44:38
at
44:38
NAX
44:38
was
44:39
that,
44:39
you
44:39
know,
44:40
now
44:40
they
44:40
can
44:40
give
44:41
concrete
44:41
information
44:42
and
44:42
say,
44:43
no,
44:43
you
44:43
know,
44:43
Gatorade,
44:44
it
44:44
wasn't.
44:44
The
44:45
problem
44:45
isn't
44:45
that
44:45
we're
44:46
not
44:46
asking
44:46
people.
44:47
We
44:47
are
44:47
asking
44:47
people.
44:48
They
44:48
just,
44:49
the
44:49
offer
44:49
is
44:49
not
44:49
good
44:50
enough
44:50
or
44:50
we
44:50
have
44:50
to
44:50
rethink
44:51
how
44:51
we're
44:51
approaching
44:52
this.
44:52
And
44:52
they've
44:53
Never
44:53
had
44:53
that
44:53
data.
44:54
It's
44:54
all
44:54
been
44:55
based
44:55
on,
44:55
you
44:56
know,
44:56
the
44:56
Gatorades
44:57
had
44:57
all
44:57
the
44:57
power
44:58
in
44:58
this
44:58
up
44:58
to
44:59
this
44:59
point
44:59
because
44:59
they're
45:00
like,
45:00
you're
45:00
not
45:00
performing.
45:01
But
45:01
now
45:01
they
45:02
can
45:02
both
45:02
be,
45:02
be
45:03
looking
45:03
at
45:03
the
45:03
same
45:03
data
45:04
and
45:04
really
45:04
figuring
45:05
out
45:05
how
45:05
to
45:05
solve
45:06
these
45:06
problems
45:06
together.
45:07
So
45:07
I,
45:08
I,
45:08
I
45:09
think
45:09
this
45:09
is
45:09
a
45:09
really
45:09
great
45:10
move.
45:10
I'm
45:10
hopeful
45:11
we
45:11
see
45:12
more
45:12
C
45:13
store
45:13
retailers
45:14
and
45:14
other
45:14
retailers
45:15
exploring
45:16
this
45:16
type
45:16
of
45:16
technology
45:18
as
45:18
we
45:18
kind
45:18
of
45:19
continue
45:19
out
45:19
and,
45:20
and
45:20
the
45:20
workforce
45:21
changes
45:21
so
45:21
much.
45:22
And
45:22
Jen,
45:22
I'd
45:22
love
45:23
to
45:23
have
45:23
you
45:24
wrap
45:24
us
45:24
up
45:24
on
45:25
thoughts
45:25
here
45:26
with
45:27
that
45:27
changing
45:27
workforce
45:28
and,
45:28
and
45:28
also
45:29
answering
45:29
your
45:30
kind
45:30
of
45:31
thoughts
45:31
about
45:31
the
45:31
privacy
45:32
element
45:32
of
45:33
this
45:33
and
45:33
what,
45:33
what
45:34
employees
45:34
should
45:35
expect.
45:36
I
45:36
agree
45:36
with
45:36
both
45:36
of
45:37
you.
45:37
I
45:37
think
45:37
privacy
45:38
concerns
45:38
aren't
45:39
a
45:39
real
45:39
issue
45:40
when
45:40
they're
45:41
in
45:41
the
45:41
store.
45:42
Clocked
45:42
in.
45:42
Right.
45:43
Like,
45:43
we're
45:43
not
45:43
monitoring
45:44
their
45:44
conversations
45:45
outside
45:45
of
45:46
the
45:46
store
45:47
when
45:47
it
45:47
comes
45:47
to
45:47
privacy
45:48
concerns.
45:48
Things
45:49
people
45:49
are
45:49
talking
45:49
about
45:50
and
45:50
employees
45:50
are
45:50
talking
45:51
about
45:51
is
45:51
more
45:52
what
45:52
can
45:53
I
45:53
put
45:53
on
45:53
social
45:53
media
45:54
and
45:54
what
45:54
can't
45:54
I
45:55
like,
45:55
like,
45:56
where
45:56
do
45:56
I
45:56
represent
45:57
this
45:57
brand
45:59
and
45:59
where
46:00
am
46:00
I?
46:00
Just
46:00
a
46:00
human
46:01
speaking
46:01
my
46:02
mind.
46:03
So
46:03
in
46:03
this
46:03
case,
46:03
I
46:04
don't
46:04
see
46:04
that
46:04
being
46:04
an
46:04
issue.
46:05
They're
46:05
in
46:05
the
46:05
store,
46:06
they're
46:06
clocked
46:06
in.
46:06
I
46:06
think
46:06
it's
46:07
fair
46:07
game.
46:08
I
46:08
see
46:09
implementation
46:10
of
46:10
this
46:10
as
46:10
long
46:10
as
46:11
it's
46:11
geared
46:11
towards.
46:11
This
46:11
is
46:12
a
46:12
coaching
46:12
and
46:12
development
46:13
opportunity
46:13
for
46:14
you.
46:15
I
46:15
see
46:15
it
46:15
being
46:16
a
46:16
win
46:16
win
46:17
if
46:18
it's
46:18
pushing
46:18
too
46:19
much
46:19
on.
46:19
We
46:19
need
46:19
to
46:19
upsell,
46:20
we
46:20
need
46:20
to
46:20
upsell.
46:21
And
46:21
it's
46:21
causing
46:22
these
46:22
cashiers
46:23
to
46:23
have
46:23
inauthentic
46:24
conversations
46:25
like,
46:26
hey,
46:26
I
46:26
gotta
46:26
mention
46:26
Gatorade.
46:28
You're
46:29
buying
46:29
coffee
46:29
and
46:29
donuts.
46:30
You
46:30
want
46:30
to
46:30
Gatorade
46:30
with
46:30
that?
46:31
I
46:31
don't
46:31
know,
46:31
like,
46:32
could
46:32
it
46:32
have
46:32
some
46:32
negative
46:33
implications?
46:34
Maybe.
46:35
But
46:35
I
46:35
think
46:35
really
46:35
the
46:36
opportunity
46:36
here
46:36
is
46:37
how
46:37
to
46:37
coach
46:37
and
46:37
develop
46:38
even
46:38
the
46:38
most
46:39
basic
46:39
things.
46:39
It
46:40
was
46:40
mentioned
46:40
like
46:40
greeting
46:41
the
46:41
customer.
46:42
You
46:43
don't
46:43
know
46:43
how
46:44
many
46:44
or
46:44
we
46:44
do.
46:45
Right
46:45
as
46:45
consumers
46:46
and
46:46
customers.
46:47
How
46:47
many
46:47
people
46:48
miss
46:48
the
46:48
art
46:49
of
46:49
just
46:49
starting
46:49
a
46:50
conversation
46:50
and
46:51
the
46:51
way
46:51
that
46:51
that
46:52
actually
46:52
builds
46:52
loyalty
46:53
in
46:53
a
46:53
lot
46:54
cheaper
46:54
fashion
46:55
than
46:55
a
46:55
loyalty
46:56
program.
46:57
So
46:57
if,
46:57
if
46:58
the
46:58
person
46:58
at
46:58
711
46:59
says,
47:00
hey,
47:00
how
47:00
are
47:00
you
47:01
today?
47:01
I
47:01
saw
47:01
you're
47:02
getting
47:02
a
47:02
donut.
47:02
Can
47:02
I
47:03
interest
47:03
you
47:03
in
47:03
coffee?
47:05
That's
47:06
a
47:06
real
47:06
opportunity.
47:07
And
47:07
I
47:07
think
47:07
if
47:07
this
47:08
is
47:08
used
47:08
as
47:08
a
47:08
coaching
47:08
and
47:09
development
47:09
tool
47:09
and
47:10
if,
47:10
if
47:10
the
47:11
leadership
47:11
uses
47:11
it
47:12
in
47:12
that
47:12
way,
47:12
there,
47:12
there
47:13
are
47:13
huge
47:13
opportunities
47:14
here.
47:14
It's
47:15
a
47:15
cool
47:15
technology.
47:16
It's
47:16
like,
47:16
it's
47:17
almost
47:17
like
47:17
smart
47:17
house
47:18
and,
47:18
and
47:18
all
47:18
of
47:19
technology.
47:19
Right.
47:19
Like,
47:20
it's
47:20
really
47:20
cool
47:21
unless
47:21
it
47:21
goes
47:22
too
47:22
far.
47:22
But
47:22
I,
47:22
I
47:23
think
47:23
there's
47:23
a
47:23
lot
47:23
of
47:23
upside.
47:24
Yeah.
47:25
And
47:25
I
47:25
think
47:25
you
47:26
call
47:26
it
47:26
a
47:26
really
47:26
important
47:27
point
47:27
of
47:27
the,
47:27
the
47:28
wins
47:28
here
47:28
too,
47:29
and
47:29
that's
47:29
the
47:29
customer.
47:30
I
47:30
mean,
47:30
who's
47:31
expecting
47:31
to
47:31
have
47:31
a
47:32
positive
47:32
experience
47:32
when
47:33
you
47:33
go
47:33
into
47:33
a
47:33
convenience
47:34
store?
47:34
Pretty
47:35
much
47:35
no
47:35
one.
47:36
So
47:36
this,
47:36
this
47:37
really
47:37
enables
47:37
that.
47:38
Even
47:38
just
47:38
saying
47:38
hello
47:39
and
47:39
greeting
47:39
somebody.
47:40
But,
47:40
Chris,
47:41
close
47:41
us
47:41
out
47:41
here
47:41
with
47:42
your
47:42
thoughts.
47:43
Yeah,
47:43
I
47:43
think
47:44
I
47:44
love
47:44
how
47:44
Jen
47:44
said,
47:45
like,
47:45
it
47:45
should
47:45
be
47:45
used
47:45
first
47:46
and
47:46
foremost
47:46
as,
47:46
like,
47:47
a
47:47
training
47:47
tool,
47:48
you
47:48
know?
47:48
And
47:48
I
47:48
think
47:48
of
47:49
the
47:49
other
47:49
element
47:49
of
47:49
training
47:50
too,
47:50
are
47:50
there
47:50
are
47:50
things
47:50
that
47:51
stores
47:52
have
47:52
to
47:52
comply
47:53
with
47:53
from
47:53
a
47:53
regulation
47:54
standpoint
47:55
as
47:55
well.
47:55
So,
47:55
like,
47:56
you
47:56
know,
47:56
I
47:56
think
47:56
convenience
47:57
stores,
47:57
I
47:57
think
47:57
of
47:58
alcohol,
47:58
tobacco
47:59
sales.
47:59
Like,
48:00
are
48:00
your,
48:00
are
48:00
your
48:01
employees
48:01
asking
48:02
to
48:02
see
48:02
IDs,
48:03
for
48:03
example,
48:04
and
48:05
training
48:05
them
48:05
and
48:06
coaching
48:06
them
48:06
if
48:06
they're
48:07
not?
48:07
Like,
48:07
that's
48:08
valuable.
48:09
Valuable
48:09
data
48:10
points
48:10
for
48:10
retailers,
48:11
you
48:11
know,
48:11
in
48:11
the
48:12
long
48:12
run.
48:12
And,
48:12
and
48:13
the
48:13
other
48:13
point
48:13
I
48:13
make
48:13
too,
48:13
is,
48:13
like,
48:14
you're
48:14
dead
48:14
on,
48:14
like,
48:15
convenience
48:15
store
48:15
industry,
48:16
man.
48:16
They're
48:16
rushing
48:17
after
48:17
AI.
48:17
And
48:17
you
48:18
can
48:18
see
48:18
why,
48:18
because
48:18
they're,
48:19
they're,
48:19
they're
48:19
resource
48:20
constrained
48:20
in
48:21
their
48:21
stores.
48:21
I
48:21
mean,
48:22
if
48:22
I
48:22
use
48:22
that
48:22
district
48:22
manager
48:23
example
48:24
at
48:24
Target,
48:24
it's,
48:25
it's
48:25
exponentially
48:26
more
48:26
difficult
48:26
as
48:26
a
48:27
district
48:27
manager
48:27
for
48:27
a
48:27
convenience
48:28
store
48:28
because
48:28
you're
48:28
operating
48:29
even
48:29
more
48:29
of
48:29
them
48:30
and
48:30
they're
48:30
spread
48:30
out
48:30
even
48:31
more
48:31
across
48:32
a
48:32
region.
48:32
So,
48:33
yeah,
48:33
100%.
48:34
This
48:34
is
48:34
a
48:34
great
48:34
idea.
48:35
All
48:35
right,
48:35
let's
48:36
go
48:36
to
48:36
the
48:36
lightning
48:36
round,
48:37
you
48:37
two.
48:37
Jen,
48:38
you
48:38
get
48:38
the
48:38
first
48:38
question.
48:39
I
48:39
cannot
48:39
wait
48:40
to
48:40
hear
48:40
what
48:41
your
48:41
response
48:42
is.
48:42
Dark
48:43
romanticism,
48:44
structured
48:45
tailoring,
48:46
and
48:46
grunge
48:46
core
48:47
are
48:47
a
48:47
few
48:47
of
48:48
some
48:48
of
48:48
my
48:49
favorites,
48:49
I
48:49
guess,
48:50
of
48:50
the
48:50
noteworthy
48:51
trends
48:51
coming
48:51
out
48:51
of
48:51
New
48:52
York
48:52
Fashion
48:52
Week,
48:53
if
48:53
you
48:53
had
48:54
to
48:54
outfit
48:54
your
48:54
2026
48:55
wardrobe
48:56
in
48:57
one
48:57
of
48:57
those
48:58
trends,
48:58
which
48:59
style
48:59
would
48:59
you
49:00
choose?
49:01
Okay,
49:02
I
49:02
like
49:02
this.
49:03
I'm
49:03
gonna
49:03
go
49:03
with
49:04
structured
49:04
tailoring.
49:05
Okay.
49:06
So
49:06
grunge
49:07
core,
49:07
I
49:07
think,
49:07
like,
49:08
a
49:08
lot
49:08
of
49:08
black.
49:08
I'm
49:09
a
49:09
fan
49:09
of
49:09
black,
49:09
but
49:09
I'm
49:10
probably
49:10
not
49:10
going
49:10
grunge.
49:11
Dark
49:11
romanticism.
49:12
I
49:12
don't
49:12
know
49:12
what
49:13
that
49:13
is,
49:13
but
49:13
I
49:13
have
49:13
a
49:14
feeling
49:14
if
49:14
I
49:14
don't
49:14
know,
49:14
I'm
49:15
probably
49:15
not
49:15
in
49:16
on
49:16
it.
49:16
It's
49:16
like
49:16
goth
49:17
dark,
49:18
really
49:18
dark
49:18
hues.
49:19
Lace.
49:20
Yeah.
49:20
Like,
49:20
we're
49:21
look,
49:21
we're
49:21
going
49:21
back
49:21
to,
49:22
like,
49:22
this
49:22
think,
49:23
like,
49:23
Twilight,
49:24
like,
49:24
twilight
49:25
inspired
49:26
color.
49:26
Okay.
49:27
So
49:27
I'm
49:27
gonna
49:27
stick
49:28
with
49:28
structured
49:28
tailoring.
49:29
Yeah,
49:30
right,
49:30
right.
49:31
Yep.
49:32
So
49:32
I,
49:32
I,
49:33
I
49:33
mean,
49:33
I
49:33
love
49:33
a
49:33
Good
49:34
pleat
49:34
in
49:34
my
49:34
pants.
49:35
I
49:35
can
49:35
wear
49:35
a
49:35
structured
49:36
button
49:36
down.
49:37
I
49:37
think
49:37
that's
49:38
what
49:38
we're.
49:38
We're
49:38
leaning
49:39
in
49:39
on
49:39
there.
49:40
And
49:41
I
49:41
will
49:41
have
49:42
to
49:42
hire
49:42
someone
49:42
to
49:42
do
49:42
all
49:43
that
49:43
ironing,
49:43
but
49:43
I'm
49:43
in
49:44
unstructured
49:44
tailoring.
49:45
Amazing.
49:46
Amazing.
49:46
Big,
49:47
big
49:47
dry
49:47
cleaning
49:48
bills
49:48
coming
49:48
up
49:48
in
49:49
2020.
49:49
I
49:50
hope
49:50
the
49:51
dry
49:51
cleaners
49:51
are
49:51
listening.
49:52
You
49:52
guys
49:52
should
49:52
get
49:52
on
49:52
that
49:53
and
49:53
start
49:53
advertising
49:54
structured
49:54
tailoring
49:55
as
49:55
the
49:55
next
49:55
trend.
49:56
All
49:57
right.
49:57
And
49:57
I
49:57
get
49:58
to
49:58
ask
49:58
a
49:58
lightning
49:59
round
49:59
question
49:59
here.
50:00
So
50:01
the
50:01
Internet
50:01
says
50:02
2016
50:02
is
50:03
the
50:03
new
50:03
2026.
50:04
I'm
50:04
sure
50:04
you've
50:05
seen
50:05
this
50:05
trend.
50:06
What
50:06
is
50:06
one
50:07
thing
50:07
that
50:07
was
50:07
actually
50:08
better
50:08
in
50:09
2016
50:10
that
50:10
you
50:10
might
50:10
bring
50:11
back?
50:13
I
50:13
would
50:14
say
50:14
that
50:15
I
50:15
would
50:15
bring
50:15
back
50:16
the
50:16
Rihanna
50:17
and
50:17
Drake
50:17
relationship
50:18
because
50:19
they
50:19
made
50:20
some
50:20
incredible
50:21
music
50:21
together
50:22
in
50:22
2016.
50:24
And
50:25
we're
50:25
talking
50:25
one
50:26
dance.
50:26
We're
50:26
talking
50:27
work.
50:27
Like,
50:27
one
50:28
of
50:28
my
50:28
favorite
50:28
Rihanna
50:29
song's
50:29
work
50:30
came
50:30
out
50:30
in
50:30
2016,
50:31
and
50:31
I
50:31
was
50:31
like,
50:32
this.
50:32
This
50:32
is
50:33
it.
50:33
This
50:33
is
50:33
it.
50:33
We
50:34
need
50:34
you
50:34
two
50:35
back
50:35
together
50:36
just
50:36
for
50:36
a
50:36
collaboration.
50:37
I
50:37
doubt
50:38
it's
50:38
happening.
50:39
She
50:39
has
50:39
now
50:39
three
50:39
or
50:40
four
50:40
children,
50:40
I
50:41
think
50:41
with.
50:42
With
50:42
her
50:42
current
50:42
partner.
50:43
So
50:44
not.
50:44
Not
50:44
gonna.
50:45
Not
50:45
gonna
50:45
go
50:45
forward.
50:46
But
50:46
it's
50:46
okay.
50:46
We'll.
50:48
We'll
50:48
just
50:48
reminisce
50:49
and
50:49
listen
50:49
to.
50:50
Listen
50:50
to
50:50
work
50:51
on
50:51
replay
50:51
this
50:51
week.
50:52
Like,
50:52
work,
50:53
work,
50:53
work,
50:53
work,
50:53
work.
50:54
That's
50:54
the
50:54
one,
50:54
right?
50:55
Yeah.
50:55
Yep.
50:55
Yeah,
50:56
I.
50:56
I
50:56
hear
50:57
you.
50:57
I
50:57
didn't
50:57
know
50:57
where
50:58
you
50:58
were
50:58
gonna
50:58
go
50:58
with
50:58
that
50:59
question,
50:59
but
50:59
I
50:59
like
50:59
it.
51:01
Want
51:01
them
51:01
back
51:01
together
51:02
just
51:02
for
51:02
a
51:02
collaboration.
51:03
If
51:03
you're
51:04
listening,
51:04
just
51:04
do
51:04
it
51:04
for
51:05
Ann.
51:05
Yeah.
51:06
Another
51:07
reason
51:07
I
51:07
like
51:07
doing
51:07
this
51:08
show
51:08
because,
51:08
like,
51:08
would
51:08
ask
51:09
what
51:09
would
51:09
make
51:09
my
51:09
life
51:10
better.
51:10
If
51:10
we
51:10
could
51:10
go
51:10
back
51:10
to
51:11
2016.
51:11
The
51:12
last
51:12
thing
51:12
on
51:12
my
51:13
mind
51:13
would
51:13
be
51:13
Rihanna
51:14
and
51:14
Drake.
51:14
But,
51:15
hey,
51:15
whatever
51:15
works
51:16
for
51:16
you,
51:16
and
51:16
that's
51:17
great.
51:17
All
51:17
right.
51:18
Robert
51:18
Duvall
51:18
passed
51:19
away
51:19
on
51:19
Monday.
51:19
Janet,
51:20
age
51:20
of
51:20
95.
51:21
What
51:21
is
51:21
your
51:21
Mount
51:22
Rushmore
51:22
of
51:22
Robert
51:23
Duvall
51:24
films?
51:25
Good
51:25
question.
51:27
I
51:27
don't
51:27
know
51:27
if
51:27
this
51:27
is
51:27
going
51:28
to
51:28
be
51:28
a
51:28
shocker,
51:28
but
51:28
I
51:29
was
51:29
not
51:29
a
51:29
big
51:29
Robert
51:30
Duvall
51:30
fan
51:31
to
51:31
the
51:31
point
51:31
where
51:31
I
51:32
would
51:32
know
51:32
most
51:32
of
51:33
his
51:33
movies.
51:34
But
51:34
in
51:35
his
51:35
passing,
51:35
it
51:35
did
51:36
come
51:36
up
51:36
with
51:36
my
51:36
husband.
51:37
And
51:37
so
51:37
I
51:37
have
51:38
been
51:38
informed
51:38
he
51:38
was
51:38
one
51:39
of
51:39
the
51:39
coolest
51:39
actors
51:40
to
51:40
ever
51:40
live.
51:41
So
51:42
if
51:42
I
51:42
had
51:42
to
51:42
name
51:42
my
51:43
four,
51:43
I
51:44
will
51:44
go
51:45
Lonesome
51:45
Dove.
51:46
It's
51:46
a
51:47
cowboy
51:47
movie.
51:47
Okay.
51:48
Yeah,
51:48
you
51:48
can
51:48
count
51:48
that.
51:49
It's
51:49
a
51:49
TV
51:49
movie,
51:49
but
51:50
TV
51:50
miniseries.
51:50
But
51:50
we'll
51:51
count
51:51
it.
51:51
We'll
51:51
count
51:51
it.
51:52
Oh,
51:52
okay.
51:52
Well,
51:53
it's
51:53
about
51:53
the
51:53
cowboys
51:54
Right.
51:54
I
51:55
know
51:55
his.
51:55
I
51:55
know
51:55
his
51:55
face
51:56
and
51:56
his
51:56
sideburns,
51:57
I
51:57
think,
51:57
from
51:57
that
51:59
phenomenon.
52:01
Okay.
52:01
Oh,
52:02
wow.
52:02
All
52:03
right.
52:03
Four
52:03
Christmases.
52:04
Because
52:05
any
52:05
Vince
52:05
Bond
52:06
movie
52:06
is
52:06
good
52:07
in
52:07
my
52:07
book.
52:08
And
52:08
Days
52:09
of
52:09
Thunder
52:10
days.
52:11
Okay,
52:11
okay.
52:11
We've
52:12
got
52:12
a
52:12
Vince
52:12
Vodafile
52:13
in
52:13
our.
52:13
In
52:13
our
52:13
midst.
52:14
All
52:14
right,
52:14
all
52:15
right.
52:15
Oh,
52:16
man.
52:16
And
52:16
produce,
52:16
I'm
52:16
sure
52:17
producer
52:17
Ella.
52:17
Producer
52:18
Ella's
52:18
smiling
52:18
in
52:18
the
52:19
background
52:19
here
52:19
before
52:19
we
52:19
bring
52:20
her
52:20
on,
52:20
because
52:20
I've
52:20
always
52:20
asked
52:21
her
52:21
all
52:21
these
52:21
movie
52:21
questions,
52:21
and
52:22
she
52:22
has
52:22
no
52:22
idea
52:23
any
52:23
of
52:23
the
52:24
references
52:24
I
52:24
make,
52:25
but
52:25
those
52:25
are
52:25
some
52:26
solid
52:26
picks,
52:26
Jen.
52:27
Those
52:27
are
52:27
kind
52:27
of
52:28
far
52:29
afield
52:29
of
52:29
where
52:29
I
52:30
expected
52:30
you
52:30
to
52:30
go.
52:31
Did
52:31
I
52:31
miss
52:31
one?
52:32
That's,
52:32
like,
52:32
your
52:32
top.
52:33
Well,
52:34
the
52:34
one
52:34
he's
52:34
most
52:34
hallowed
52:35
for
52:35
is
52:35
the
52:36
Godfather,
52:36
of
52:36
course.
52:37
Yeah.
52:38
And
52:38
then
52:38
the
52:38
one
52:38
that
52:39
I
52:39
actually
52:39
hold
52:39
a
52:39
sweet
52:40
spot
52:40
in
52:40
my
52:40
heart
52:40
for
52:41
is
52:41
To
52:41
Kill
52:41
a
52:41
Mockingbird,
52:42
because
52:42
he
52:42
plays
52:42
Boo
52:43
Radley
52:43
in
52:43
that.
52:43
It's
52:44
one
52:44
of
52:44
his
52:44
first.
52:45
First
52:45
ever
52:46
movie
52:46
roles.
52:47
All
52:47
right,
52:47
Chris,
52:48
I
52:48
get
52:48
to
52:48
ask
52:48
you
52:49
one
52:49
now.
52:49
So
52:49
with
52:50
the
52:50
Winter
52:50
Olympics
52:50
in
52:51
full
52:51
swing,
52:51
curling
52:52
is
52:52
having
52:52
a
52:53
moment.
52:53
At
52:53
least
52:53
at
52:54
my
52:54
house,
52:54
it
52:54
is.
52:55
What's
52:55
the
52:56
most
52:56
Minnesota
52:57
winter
52:57
season
52:57
sport
52:58
you've
52:58
ever,
52:58
ever
52:59
taken
52:59
part
52:59
in?
53:00
Yeah,
53:00
I
53:01
mean,
53:01
believe
53:01
it
53:01
or
53:01
not,
53:01
for
53:02
me,
53:02
it's
53:02
actually
53:02
curling.
53:03
I
53:03
did
53:03
that
53:03
once,
53:04
and
53:04
it
53:04
was
53:04
actually.
53:05
It
53:05
was
53:05
pretty
53:06
fun.
53:07
I
53:07
mean,
53:07
you're
53:07
in
53:07
Michigan.
53:08
Have
53:08
you
53:08
ever
53:08
curled?
53:08
Jen,
53:09
I'm
53:09
curious.
53:09
And
53:10
also,
53:10
did
53:10
you
53:10
see
53:10
the
53:10
fracas
53:11
between
53:11
the
53:11
Canadians
53:12
and
53:12
the
53:12
Swedish
53:13
team?
53:13
That
53:13
was.
53:14
If
53:14
you
53:14
haven't
53:14
seen
53:14
that
53:14
on
53:15
social
53:15
media,
53:15
everybody
53:16
take
53:16
a
53:16
look
53:16
at
53:16
that.
53:16
Like,
53:17
there
53:17
were
53:17
F
53:17
bombs
53:18
exchanged
53:18
between
53:19
them.
53:19
It's
53:19
pretty.
53:19
It's
53:20
pretty
53:20
intense.
53:22
I
53:22
have
53:22
not
53:22
curled.
53:23
I've
53:23
seen,
53:24
like,
53:24
curling
53:25
things
53:26
when
53:26
it's
53:26
winter
53:27
here,
53:27
and
53:27
I
53:27
just
53:27
walk
53:28
by
53:28
them
53:28
and
53:29
smile.
53:30
But
53:31
my.
53:31
My
53:32
youngest
53:32
was
53:32
watching
53:33
it
53:33
with
53:33
us,
53:33
and
53:33
she
53:33
was
53:34
like,
53:34
mom,
53:34
they're
53:34
cleaning.
53:35
Look
53:35
at
53:35
them.
53:35
They're
53:35
cleaning
53:36
again.
53:37
So
53:37
it
53:37
was
53:37
fun
53:37
in
53:38
our
53:38
house
53:38
to
53:38
learn
53:38
a
53:38
little
53:39
bit
53:39
about
53:39
the
53:39
scoring
53:39
and
53:40
such.
53:41
They're
53:41
sweeping.
53:42
Sweeping.
53:42
Producer
53:43
Ella,
53:43
have
53:43
you
53:43
ever
53:43
curled?
53:44
You're
53:44
from
53:44
Minnesota.
53:45
You've
53:45
probably
53:45
curled,
53:46
right?
53:46
You
53:46
haven't
53:46
curled
53:47
either.
53:47
I've
53:47
never
53:48
curled.
53:49
Oh,
53:49
yeah,
53:50
you
53:50
have
53:50
to.
53:51
There
53:51
used
53:51
to
53:51
be
53:51
a
53:51
curling
53:52
club
53:52
in
53:52
St.
53:52
Paul.
53:52
So
53:53
back,
53:54
like,
53:54
a
53:54
few
53:54
years
53:54
ago,
53:55
I
53:55
think
53:55
it
53:55
came.
53:56
It
53:56
came
53:56
like
53:57
something
53:57
in
53:58
vogue
53:58
to
53:58
be
53:58
doing,
53:59
but
53:59
it
54:00
was
54:00
not
54:00
good.
54:00
I.
54:01
I
54:01
just
54:01
skipped
54:02
right
54:02
to
54:02
hockey.
54:02
No,
54:03
curling.
54:03
That
54:04
was.
54:04
That
54:04
was
54:04
actually
54:04
the
54:05
girls
54:05
equivalent
54:06
that
54:06
they
54:06
suggested
54:06
when
54:07
I
54:07
was
54:07
in
54:07
high
54:07
school
54:07
was,
54:08
well,
54:08
we're
54:09
not
54:09
gonna
54:09
have
54:09
a
54:09
Hockey
54:09
team
54:10
for
54:10
women.
54:10
So
54:11
try
54:11
curling.
54:11
See
54:12
how
54:12
that
54:12
goes.
54:13
It
54:13
was
54:13
not
54:14
the
54:14
same
54:14
at
54:14
all.
54:15
But
54:15
the
54:15
hockey
54:16
gender
54:16
gap
54:17
that
54:17
I.
54:17
See,
54:17
yes,
54:18
there's
54:18
a
54:18
hockey
54:18
gender
54:19
gap.
54:19
100.
54:21
Not
54:21
anymore,
54:21
but
54:22
back
54:22
then,
54:23
yeah,
54:23
it.
54:23
Became
54:24
like
54:24
the
54:24
default,
54:25
like
54:25
company
54:26
activity
54:26
for
54:26
a
54:26
period
54:27
of
54:27
time.
54:27
Right.
54:27
And
54:28
like
54:28
a
54:28
lot
54:28
of
54:28
companies
54:28
were
54:29
having
54:29
their,
54:29
like,
54:29
annual
54:30
parties
54:30
at
54:30
the
54:30
St.
54:31
Paul,
54:31
like,
54:31
curling
54:32
rink
54:32
or
54:32
whatever
54:32
it's
54:33
called.
54:33
But.
54:33
All
54:34
right,
54:34
well,
54:34
good
54:34
to
54:34
know
54:35
that
54:35
two
54:35
of
54:36
us
54:36
have
54:36
curled
54:36
and
54:37
two
54:37
of
54:37
us
54:37
have
54:37
not.
54:38
All
54:38
right,
54:38
Producer
54:38
Ella,
54:39
what
54:39
headline
54:40
or
54:40
discussion
54:41
today
54:41
won
54:42
the
54:42
week
54:42
for
54:42
you?
54:43
Yeah,
54:44
well,
54:44
as
54:44
the
54:44
resident
54:45
Gen
54:45
Z
54:45
voice,
54:45
I
54:46
think
54:46
I'm
54:46
obligated
54:47
to
54:47
talk
54:47
about
54:48
creators
54:48
and
54:48
influencing
54:49
an
54:49
American
54:49
eagle.
54:51
I
54:51
think
54:51
you
54:51
are
54:51
too.
54:52
Yeah.
54:52
So
54:52
the
54:53
micro
54:53
influencer
54:54
wave,
54:54
I
54:54
think
54:54
it's
54:55
so
54:55
fascinating
54:55
right
54:56
now
54:56
because
54:56
so
54:56
many
54:57
people
54:57
my
54:58
age,
54:58
I
54:58
mean,
54:58
some
54:59
older,
54:59
younger,
55:00
they
55:00
want
55:01
to
55:01
be
55:01
creators
55:01
and
55:02
like
55:02
the
55:02
lifestyle
55:02
of
55:03
posting
55:03
and
55:03
building
55:04
this
55:04
personal
55:04
brand
55:05
is
55:05
really
55:05
glamorous,
55:06
even
55:07
to
55:07
myself.
55:08
So
55:09
it's
55:09
incredibly
55:10
smart
55:10
for
55:10
retailers
55:10
to
55:11
lean
55:11
into
55:11
the
55:11
smaller
55:12
creators
55:13
who
55:13
are
55:13
actively
55:14
looking
55:14
for
55:14
something
55:15
to
55:15
post
55:16
or
55:16
ways
55:16
to
55:16
earn
55:17
rewards.
55:17
And
55:17
I
55:18
think
55:18
you're
55:18
tapping
55:18
into
55:18
those
55:18
people
55:19
who
55:19
want
55:19
to
55:19
create.
55:20
So
55:21
it's
55:21
kind
55:21
of
55:21
like
55:21
a
55:21
marketer's
55:22
dream
55:22
because
55:22
these
55:23
people
55:23
are
55:23
putting
55:23
in
55:23
the
55:24
effort
55:24
because
55:24
they
55:24
want
55:24
to
55:25
grow
55:25
their
55:25
brand
55:25
or
55:25
they
55:26
want
55:26
to
55:26
find
55:27
that
55:27
niche
55:27
audience.
55:29
And
55:29
Even
55:30
if
55:30
just
55:30
10
55:31
out
55:31
of
55:31
those
55:31
900
55:32
creators
55:32
who
55:32
just
55:33
signed
55:33
up
55:33
are
55:33
in
55:34
that
55:34
sweet
55:34
spot
55:34
of
55:35
small
55:35
audience
55:35
with
55:36
strong
55:36
engagement,
55:37
I
55:37
mean,
55:37
I
55:37
think
55:37
it's
55:37
worth
55:38
it
55:38
because
55:38
those
55:39
are
55:39
the
55:39
people
55:39
who
55:39
are
55:40
going
55:40
to
55:40
drive
55:41
the
55:41
influence.
55:42
I
55:42
think
55:42
it's
55:42
funny,
55:42
Jen
55:43
too,
55:43
because
55:43
every
55:43
time
55:44
you're
55:44
on,
55:44
we're
55:44
talking
55:44
about
55:44
genes.
55:45
So
55:45
hopefully
55:45
these
55:46
influencers
55:47
can
55:47
help
55:47
us
55:47
find
55:48
the
55:48
right
55:48
genes.
55:49
I
55:49
almost
55:49
made
55:50
a
55:50
jeans
55:50
pun
55:51
earlier,
55:51
but
55:51
I
55:51
was
55:52
like,
55:52
no,
55:52
let's
55:52
leave
55:52
it
55:52
in
55:52
the
55:53
last
55:53
episode.
55:53
I
55:54
think
55:54
we
55:54
talked
55:54
enough
55:55
about
55:55
those
55:55
jeans.
55:56
Well,
55:56
I'm
55:56
still
55:57
looking
55:57
for
55:57
answers,
55:57
so
55:58
let
55:58
me
55:58
know.
55:59
You
56:00
taught
56:00
me.
56:00
You
56:00
said,
56:00
I
56:01
think
56:01
wide
56:01
legs
56:01
are
56:01
last
56:02
year.
56:02
And
56:02
I
56:02
was
56:02
like,
56:02
that's
56:03
what
56:03
I'm
56:03
wearing.
56:03
Great,
56:04
great.
56:05
It's
56:05
okay,
56:06
Jen.
56:06
I'm
56:06
still
56:06
wearing
56:07
the
56:07
same
56:07
pair
56:07
of
56:07
jeans
56:07
I've
56:07
had
56:08
for
56:08
like
56:08
eight
56:08
years.
56:08
So,
56:09
you
56:09
know,
56:09
you're
56:09
doing
56:09
okay,
56:10
you're
56:10
doing
56:10
better
56:10
than
56:10
me.
56:11
That's
56:11
a
56:11
good
56:11
point
56:11
though
56:12
too
56:13
because,
56:14
you
56:14
know,
56:14
I
56:14
didn't
56:14
think
56:15
like
56:15
even
56:15
like
56:15
the
56:16
baby
56:16
business
56:16
particularly.
56:17
There's
56:18
so
56:18
much
56:18
that
56:19
you
56:19
take
56:19
when
56:19
you're
56:20
a
56:20
first
56:20
time
56:20
mom
56:21
from
56:21
the
56:21
people
56:22
that
56:22
you
56:23
feel
56:23
like,
56:23
understand
56:24
you
56:25
and
56:25
are
56:25
an
56:25
advocate
56:26
for
56:26
you
56:26
and
56:26
like,
56:26
so
56:26
if
56:27
I
56:27
was
56:27
doing.
56:27
If
56:27
I
56:27
was
56:27
in
56:28
the
56:28
baby
56:28
business,
56:28
like,
56:28
I'd
56:29
be
56:29
all
56:29
in
56:29
on
56:29
this
56:30
trend.
56:30
That's
56:30
a
56:30
really
56:31
interesting
56:31
angle
56:31
that
56:31
I
56:31
hadn't
56:31
thought
56:31
about
56:32
before.
56:32
All
56:33
right,
56:33
well,
56:34
great
56:34
show
56:34
today.
56:35
Remember,
56:35
if
56:35
you
56:36
can
56:36
only
56:36
read
56:36
or
56:36
listen
56:37
to
56:37
one
56:38
retail
56:38
blog
56:38
in
56:38
the
56:39
business,
56:39
make
56:39
it
56:39
Omnitok.
56:40
You
56:40
know
56:40
what?
56:40
I
56:41
forgot
56:41
to
56:41
do
56:41
the
56:41
birthday,
56:42
so
56:42
I'll
56:42
have
56:42
to
56:42
hit
56:42
that
56:43
up
56:43
next
56:43
week
56:43
as
56:44
well
56:44
because
56:45
I
56:45
don't
56:45
know,
56:45
for
56:45
some
56:46
reason
56:46
I
56:46
just
56:46
left
56:46
that
56:46
out
56:47
today.
56:47
But
56:47
we'll
56:47
hit
56:47
that
56:48
next
56:48
week.
56:48
We'll
56:48
give
56:48
you
56:49
double
56:49
of
56:49
the
56:49
happy
56:49
birthdays,
56:50
so
56:50
stay
56:50
tuned
56:50
for
56:51
that.
56:51
But
56:51
remember,
56:51
if
56:51
you
56:51
can
56:51
only
56:52
read
56:52
or
56:52
listen
56:52
to
56:52
one
56:52
retail
56:52
blog
56:53
in
56:53
the
56:53
business,
56:53
make
56:54
it
56:54
Omnitok,
56:54
the
56:54
only
56:55
retail
56:55
media
56:55
outlet
56:56
run
56:56
by
56:56
two
56:56
former
56:57
executives
56:57
from
56:57
a
56:57
current
56:58
top
56:58
10
56:58
US
56:58
retailer.
56:59
Our
56:59
Fast
57:00
Five
57:00
podcast
57:00
is
57:00
the
57:01
quickest,
57:01
fastest
57:01
rundown
57:02
of
57:02
all
57:02
the
57:02
week's
57:02
top
57:03
news.
57:03
And
57:03
our
57:04
daily
57:04
newsletter,
57:05
the
57:05
Retail
57:05
Daily
57:06
Minute,
57:06
tells
57:06
you
57:06
all
57:06
you
57:07
need
57:07
to
57:07
know
57:07
each
57:07
day
57:07
to
57:07
stay
57:08
on
57:08
top
57:08
of
57:08
your
57:08
game
57:08
as
57:09
a
57:09
retail
57:09
executive
57:09
and
57:10
also
57:10
regularly
57:10
features
57:11
special
57:11
content
57:11
that
57:12
is
57:12
exclusive
57:12
to
57:12
us
57:12
and
57:13
that
57:13
Ann
57:13
and
57:13
I
57:13
take
57:13
a
57:13
lot
57:14
of
57:14
pride
57:14
in
57:14
doing
57:14
just
57:14
for
57:15
you.
57:15
Thanks
57:15
as
57:15
always
57:16
for
57:16
listening
57:16
in.
57:16
Please
57:16
remember,
57:17
like
57:17
and
57:17
leave
57:17
us
57:17
a
57:17
review.
57:18
Wherever
57:18
you
57:18
happen
57:18
to
57:18
listen
57:19
to
57:19
your
57:19
podcast
57:19
or
57:20
on
57:20
YouTube,
57:20
you
57:21
can
57:21
follow
57:21
us
57:21
today
57:21
by
57:22
simply
57:22
going
57:22
to
57:22
YouTube.com
57:24
omnitalkretail
57:26
Jen,
57:26
if
57:26
people
57:27
want
57:27
to
57:27
get
57:27
in
57:27
touch
57:27
with
57:28
you,
57:28
you
57:29
know,
57:29
pick
57:29
your
57:29
brain
57:30
about
57:30
anything,
57:30
what's
57:30
the
57:30
best
57:31
way
57:31
for
57:31
them
57:31
to
57:31
do
57:31
that?
57:32
Yeah,
57:33
they
57:33
can
57:33
find
57:33
me
57:34
on
57:34
LinkedIn.
57:35
Jen
57:35
Hahn,
57:36
h
57:36
A
57:36
H
57:36
N
57:37
or
57:37
the
57:37
company.
57:38
They
57:38
can
57:38
find
57:39
us
57:39
at
57:39
our
57:39
website,
57:39
jrecruitingservices.com
57:41
and
57:41
there's
57:41
a
57:41
company
57:42
page
57:42
on
57:42
LinkedIn
57:43
as
57:43
well.
57:43
Being
57:43
in
57:43
the
57:44
recruiting
57:44
world,
57:44
we
57:44
kind
57:45
of
57:45
live
57:45
on
57:45
LinkedIn,
57:46
so.
57:47
Yeah.
57:47
And
57:47
as
57:47
we
57:47
joked
57:48
about
57:48
in
57:48
your
57:49
first
57:49
inaugural
57:49
episode,
57:50
that's
57:50
Jen
57:50
with
57:51
two
57:51
N's,
57:51
in
57:52
case.
57:52
That's
57:52
right.
57:53
J,
57:53
E
57:53
N.
57:55
Yes.
57:55
All
57:55
right,
57:56
well,
57:56
on
57:56
behalf
57:56
of
57:57
Jen
57:57
with
57:57
two
57:58
N's
57:58
and
57:58
producer
57:59
Ella
57:59
and
57:59
myself
58:00
and
58:00
all
58:00
of
58:01
us
58:01
at
58:01
Omnitok
58:01
Retail,
58:02
as
58:02
always,
58:02
be
58:03
careful
58:03
out
58:03
there.