Latest / Omni Talk Retail / NetElixir’s Udayan Bose on Performance AI That Drives Revenue | eTail West 2026

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NetElixir’s Udayan Bose on Performance AI That Drives Revenue | eTail West 2026 · Omni Talk Retail

• 0:00
  Hello,
• 0:01
  welcome.
• 0:02
  This
• 0:02
  is
• 0:02
  Omnitalk
• 0:03
  Retail.
• 0:03
  I'm
• 0:04
  Anne
• 0:04
  Mazinga.
• 0:04
  We
• 0:05
  are
• 0:05
  coming
• 0:05
  to
• 0:05
  you
• 0:06
  live
• 0:06
  from
• 0:07
  etail
• 0:07
  west
• 0:08
  2026.
• 0:09
  And
• 0:09
  I
• 0:09
  am
• 0:10
  so
• 0:10
  excited
• 0:10
  because
• 0:11
  the
• 0:11
  reason
• 0:12
  that
• 0:12
  we
• 0:12
  get
• 0:12
  to
• 0:12
  bring
• 0:12
  you
• 0:13
  all
• 0:13
  of
• 0:13
  this
• 0:14
  exceptional
• 0:14
  coverage
• 0:15
  here
• 0:15
  of
• 0:15
  the
• 0:16
  show
• 0:16
  is
• 0:16
  because
• 0:17
  of
• 0:17
  the
• 0:17
  gentleman
• 0:17
  standing
• 0:18
  next
• 0:18
  to
• 0:18
  me.
• 0:19
  Next
• 0:19
  to
• 0:19
  me
• 0:20
  is
• 0:20
  Udayne
• 0:20
  Bose,
• 0:21
  the
• 0:21
  founder
• 0:21
  and
• 0:22
  CEO
• 0:22
  of
• 0:23
  Net
• 0:23
  Elixir.
• 0:24
  Udayn,
• 0:24
  thank
• 0:25
  you
• 0:25
  so
• 0:25
  much
• 0:25
  for
• 0:26
  helping
• 0:26
  us
• 0:27
  bring
• 0:27
  all
• 0:27
  of
• 0:27
  our
• 0:27
  coverage
• 0:28
  to
• 0:28
  our
• 0:28
  audience
• 0:28
  at
• 0:29
  home.
• 0:29
  Thank
• 0:29
  you
• 0:29
  so
• 0:30
  much
• 0:30
  for
• 0:30
  sort
• 0:31
  of
• 0:31
  allowing
• 0:32
  us
• 0:32
  to
• 0:32
  do
• 0:32
  this.
• 0:32
  Well,
• 0:33
  I'm
• 0:33
  so
• 0:33
  excited.
• 0:34
  Every
• 0:34
  year,
• 0:35
  Uday
• 0:35
  is
• 0:35
  the
• 0:36
  mayor,
• 0:36
  the
• 0:36
  unofficial
• 0:37
  mayor
• 0:37
  of
• 0:37
  Etail.
• 0:38
  He
• 0:38
  has
• 0:38
  been
• 0:38
  to
• 0:38
  every
• 0:39
  detail
• 0:40
  that
• 0:40
  has
• 0:41
  no.
• 0:41
  Since
• 0:41
  2007.
• 0:42
  Since.
• 0:43
  So
• 0:43
  this
• 0:43
  is
• 0:43
  our
• 0:43
  19th
• 0:44
  detail
• 0:44
  west
• 0:46
  and
• 0:46
  probably
• 0:46
  30th
• 0:47
  overall
• 0:48
  detail.
• 0:48
  Yes.
• 0:48
  Okay.
• 0:49
  Well,
• 0:49
  let's
• 0:50
  start
• 0:50
  by
• 0:51
  sharing
• 0:51
  with
• 0:52
  our
• 0:52
  audience
• 0:53
  what
• 0:53
  Net
• 0:53
  Elixir
• 0:54
  does
• 0:54
  and
• 0:54
  a
• 0:55
  little
• 0:55
  bit
• 0:55
  about
• 0:55
  what
• 0:55
  you
• 0:55
  oversee
• 0:56
  in
• 0:56
  your
• 0:56
  role
• 0:56
  there.
• 0:57
  Okay.
• 0:57
  Amazing.
• 0:58
  So
• 0:58
  netalxin
• 0:59
  is
• 0:59
  an
• 0:59
  AI
• 0:59
  first
• 1:00
  digital
• 1:00
  marketing
• 1:00
  agency.
• 1:02
  So
• 1:02
  we
• 1:02
  are
• 1:02
  trying
• 1:02
  to
• 1:03
  really
• 1:03
  redefine
• 1:03
  as
• 1:04
  to
• 1:04
  how
• 1:05
  the
• 1:05
  performance
• 1:06
  marketing
• 1:06
  agency
• 1:07
  world
• 1:07
  should
• 1:08
  look
• 1:08
  like
• 1:08
  in
• 1:08
  the
• 1:08
  future.
• 1:09
  We
• 1:10
  have
• 1:10
  really
• 1:10
  built
• 1:10
  our
• 1:11
  entire
• 1:11
  suite
• 1:11
  of
• 1:12
  AI
• 1:12
  marketing
• 1:12
  solutions
• 1:13
  to
• 1:14
  work
• 1:14
  with
• 1:14
  our
• 1:14
  human
• 1:15
  experts
• 1:16
  who
• 1:16
  can
• 1:16
  really.
• 1:16
  So
• 1:17
  the
• 1:17
  goal
• 1:17
  is
• 1:18
  human
• 1:18
  expertise
• 1:19
  plus
• 1:19
  AI
• 1:20
  should
• 1:20
  be
• 1:20
  able
• 1:20
  to
• 1:20
  drive
• 1:21
  some
• 1:21
  exceptional
• 1:21
  results.
• 1:22
  So
• 1:22
  that's
• 1:23
  essentially
• 1:23
  what
• 1:23
  we
• 1:23
  are
• 1:24
  trying
• 1:24
  to
• 1:24
  do.
• 1:24
  So,
• 1:25
  again,
• 1:25
  AI
• 1:26
  plus
• 1:26
  humans
• 1:27
  will
• 1:27
  always
• 1:27
  beat
• 1:28
  out
• 1:28
  humans
• 1:28
  without
• 1:29
  AI
• 1:29
  or
• 1:29
  only
• 1:30
  AI.
• 1:30
  So
• 1:30
  that's
• 1:30
  our
• 1:30
  claim.
• 1:31
  I
• 1:32
  think
• 1:32
  that
• 1:32
  makes
• 1:32
  it.
• 1:32
  That
• 1:33
  makes
• 1:33
  a
• 1:33
  lot
• 1:33
  of
• 1:33
  sense
• 1:33
  and
• 1:34
  it
• 1:34
  breaks
• 1:34
  it
• 1:34
  down
• 1:34
  very
• 1:35
  simply
• 1:35
  for
• 1:36
  our
• 1:36
  audience.
• 1:36
  So
• 1:37
  thank
• 1:37
  you.
• 1:38
  You've
• 1:39
  been
• 1:39
  coming
• 1:39
  since
• 1:40
  2007.
• 1:40
  Udayn.
• 1:41
  Yeah.
• 1:41
  What's
• 1:42
  happening?
• 1:43
  What
• 1:43
  do
• 1:43
  you
• 1:43
  think
• 1:43
  is
• 1:44
  going
• 1:44
  to
• 1:44
  be,
• 1:44
  like,
• 1:44
  top
• 1:45
  of
• 1:45
  mind
• 1:45
  for
• 1:45
  people
• 1:46
  at
• 1:46
  this
• 1:46
  year's
• 1:47
  conference?
• 1:48
  And
• 1:48
  what
• 1:48
  have
• 1:48
  you
• 1:48
  been
• 1:48
  hearing
• 1:49
  from
• 1:49
  your
• 1:49
  clients?
• 1:49
  What
• 1:50
  are
• 1:50
  they
• 1:50
  focused
• 1:50
  on?
• 1:50
  I
• 1:51
  know
• 1:51
  just
• 1:51
  by
• 1:51
  saying
• 1:51
  2007,
• 1:52
  and
• 1:52
  I
• 1:52
  know
• 1:53
  I'm
• 1:53
  dating
• 1:54
  myself
• 1:54
  a
• 1:54
  lot,
• 1:55
  but
• 1:55
  I've
• 1:56
  seen
• 1:56
  all
• 1:56
  the
• 1:56
  different
• 1:56
  phases.
• 1:57
  2007,
• 1:58
  just
• 1:58
  for
• 1:58
  information,
• 1:59
  when
• 1:59
  we.
• 2:00
  Our
• 2:00
  first
• 2:01
  show,
• 2:02
  iPhone
• 2:02
  had
• 2:02
  not
• 2:03
  been
• 2:03
  launched
• 2:03
  yet.
• 2:03
  Can
• 2:03
  you
• 2:04
  believe
• 2:04
  it?
• 2:04
  I
• 2:04
  mean,
• 2:04
  it
• 2:04
  seems
• 2:04
  like
• 2:05
  another
• 2:05
  world
• 2:05
  altogether.
• 2:06
  No,
• 2:06
  I
• 2:06
  cannot.
• 2:06
  So
• 2:07
  from
• 2:07
  there
• 2:07
  to
• 2:07
  where
• 2:08
  we
• 2:08
  are,
• 2:08
  where
• 2:08
  we
• 2:08
  are
• 2:09
  talking
• 2:09
  about
• 2:09
  finally
• 2:10
  AI
• 2:10
  delivering
• 2:10
  outcomes
• 2:11
  and
• 2:12
  measurable
• 2:12
  outcomes.
• 2:13
  I
• 2:13
  think
• 2:13
  it's
• 2:13
  a
• 2:13
  huge,
• 2:14
  huge
• 2:14
  shift
• 2:15
  which
• 2:15
  we
• 2:15
  have
• 2:15
  gone
• 2:15
  through.
• 2:16
  So
• 2:16
  essentially,
• 2:17
  I
• 2:17
  think
• 2:18
  the
• 2:18
  key
• 2:18
  buzz
• 2:19
  out
• 2:19
  here
• 2:19
  at
• 2:20
  the
• 2:20
  event
• 2:21
  has
• 2:21
  entirely
• 2:22
  been
• 2:22
  not
• 2:22
  only
• 2:22
  just
• 2:23
  AI,
• 2:23
  but
• 2:24
  how
• 2:24
  can
• 2:24
  really
• 2:24
  AI
• 2:25
  be
• 2:25
  utilized
• 2:26
  to
• 2:26
  deliver
• 2:26
  some
• 2:27
  tangible,
• 2:27
  quantifiable,
• 2:28
  measurable
• 2:28
  business
• 2:29
  outcomes.
• 2:30
  So
• 2:30
  that's
• 2:30
  something
• 2:30
  which
• 2:31
  is
• 2:31
  so
• 2:31
  refreshing
• 2:31
  because
• 2:32
  the
• 2:32
  last
• 2:32
  three
• 2:32
  Tales
• 2:33
  we
• 2:33
  have
• 2:33
  been
• 2:33
  talking
• 2:33
  about.
• 2:34
  I
• 2:34
  think
• 2:34
  initially
• 2:35
  AI
• 2:35
  was
• 2:35
  a
• 2:36
  buzzword,
• 2:37
  then
• 2:37
  last
• 2:37
  year
• 2:37
  AI
• 2:38
  used
• 2:38
  to
• 2:38
  be
• 2:39
  the
• 2:40
  next
• 2:40
  glitzy
• 2:40
  thing
• 2:41
  and
• 2:41
  it
• 2:41
  was
• 2:41
  more
• 2:42
  theoretical
• 2:42
  talk.
• 2:42
  But
• 2:43
  this
• 2:43
  time
• 2:43
  I
• 2:43
  am
• 2:43
  really
• 2:44
  so
• 2:44
  excited
• 2:45
  to
• 2:45
  see
• 2:45
  a
• 2:45
  lot
• 2:45
  of
• 2:45
  people
• 2:46
  asking
• 2:46
  that
• 2:47
  show
• 2:47
  me
• 2:47
  an
• 2:47
  AI
• 2:48
  which
• 2:48
  delivers
• 2:48
  results
• 2:48
  and
• 2:49
  outcomes.
• 2:49
  So
• 2:49
  that's
• 2:49
  I
• 2:50
  think
• 2:50
  the
• 2:50
  best
• 2:50
  part.
• 2:50
  Odin,
• 2:51
  what
• 2:51
  are
• 2:51
  some
• 2:51
  of
• 2:51
  those
• 2:52
  outcomes
• 2:52
  that
• 2:52
  your
• 2:53
  clients
• 2:53
  have
• 2:53
  seen
• 2:54
  or
• 2:54
  that
• 2:55
  you've
• 2:55
  been
• 2:55
  hearing
• 2:55
  other
• 2:56
  retailers
• 2:56
  and
• 2:56
  brands
• 2:57
  talk
• 2:57
  about
• 2:57
  that
• 2:57
  they've
• 2:58
  seen?
• 2:59
  And
• 2:59
  what's
• 2:59
  your
• 2:59
  advice
• 3:00
  for
• 3:00
  them?
• 3:00
  If
• 3:01
  they
• 3:01
  haven't
• 3:01
  started
• 3:02
  on
• 3:02
  their,
• 3:02
  their
• 3:03
  AI
• 3:03
  journey
• 3:04
  yet,
• 3:04
  how
• 3:04
  would
• 3:05
  you
• 3:05
  recommend
• 3:05
  they
• 3:05
  begin
• 3:06
  that?
• 3:06
  I
• 3:06
  think
• 3:06
  the
• 3:06
  first
• 3:07
  thing
• 3:07
  is
• 3:07
  just
• 3:07
  started
• 3:08
  now.
• 3:09
  It's
• 3:09
  still
• 3:09
  definitely
• 3:10
  not
• 3:10
  late
• 3:10
  by
• 3:10
  any
• 3:11
  means
• 3:11
  as
• 3:11
  such.
• 3:11
  Yeah.
• 3:12
  And
• 3:12
  just
• 3:13
  to
• 3:13
  simplify
• 3:13
  all
• 3:14
  the
• 3:14
  AI
• 3:14
  in
• 3:14
  marketing
• 3:15
  part,
• 3:15
  and
• 3:15
  I
• 3:16
  would
• 3:16
  break
• 3:16
  it
• 3:16
  down
• 3:16
  very
• 3:17
  simplistically
• 3:17
  into
• 3:18
  two
• 3:18
  parts
• 3:18
  of
• 3:18
  AI.
• 3:19
  One
• 3:19
  is
• 3:20
  the
• 3:20
  efficiency
• 3:20
  AI
• 3:21
  and
• 3:21
  the
• 3:21
  second
• 3:21
  part
• 3:21
  is
• 3:22
  performance
• 3:22
  AI.
• 3:23
  Okay,
• 3:23
  so
• 3:23
  efficiency
• 3:24
  AI
• 3:24
  is
• 3:24
  all
• 3:24
  the
• 3:25
  gen
• 3:25
  AI
• 3:25
  tools
• 3:25
  and
• 3:26
  what
• 3:26
  you
• 3:26
  really
• 3:26
  build
• 3:26
  on
• 3:26
  top
• 3:27
  of
• 3:27
  that
• 3:27
  to
• 3:27
  solve
• 3:28
  problems.
• 3:28
  Problems
• 3:29
  like
• 3:29
  maybe
• 3:30
  smarter
• 3:30
  reporting,
• 3:30
  campaign
• 3:31
  management,
• 3:32
  agenda
• 3:32
  creation
• 3:33
  and
• 3:33
  so
• 3:33
  on
• 3:33
  and
• 3:33
  so
• 3:33
  forth.
• 3:34
  Right.
• 3:34
  Like
• 3:34
  for
• 3:34
  example,
• 3:35
  at
• 3:35
  Net
• 3:35
  Elixir
• 3:35
  we
• 3:35
  have
• 3:36
  built
• 3:36
  a
• 3:36
  platform
• 3:36
  called
• 3:36
  LXR
• 3:37
  GPT
• 3:38
  which
• 3:39
  literally
• 3:39
  has
• 3:40
  reduced
• 3:40
  our
• 3:40
  overall
• 3:41
  team's
• 3:41
  campaign
• 3:42
  management
• 3:42
  time
• 3:43
  manual
• 3:43
  time
• 3:43
  by
• 3:44
  about
• 3:44
  30%
• 3:44
  already.
• 3:45
  We
• 3:45
  expect
• 3:45
  it
• 3:46
  to
• 3:46
  go
• 3:46
  to
• 3:46
  about
• 3:46
  50%.
• 3:47
  But
• 3:47
  the
• 3:47
  other
• 3:47
  part
• 3:48
  is
• 3:48
  performance
• 3:48
  AI
• 3:49
  whereby
• 3:50
  essentially
• 3:50
  you're
• 3:50
  talking
• 3:51
  about
• 3:51
  can
• 3:51
  we
• 3:51
  use
• 3:51
  machine
• 3:52
  learning
• 3:52
  and
• 3:52
  predictive
• 3:53
  analytics
• 3:53
  to
• 3:53
  drive
• 3:54
  quantifiable
• 3:55
  measurable
• 3:55
  business
• 3:56
  outcomes
• 3:56
  by
• 3:57
  identifying
• 3:57
  opportunities
• 3:58
  which
• 3:59
  in
• 3:59
  normal
• 4:00
  campaign
• 4:00
  management
• 4:00
  or
• 4:01
  normally
• 4:01
  we
• 4:01
  don't
• 4:02
  as
• 4:02
  visible
• 4:02
  as
• 4:03
  such.
• 4:03
  And
• 4:04
  what
• 4:04
  does
• 4:04
  the
• 4:04
  ROI
• 4:05
  look
• 4:05
  like?
• 4:06
  Like
• 4:06
  what,
• 4:06
  what
• 4:06
  can
• 4:07
  happen
• 4:07
  if
• 4:07
  you
• 4:07
  deploy
• 4:08
  the
• 4:08
  tactics
• 4:09
  that
• 4:09
  you're
• 4:09
  advising
• 4:10
  retailers
• 4:10
  do.
• 4:11
  See,
• 4:11
  I
• 4:11
  think
• 4:11
  on
• 4:12
  the,
• 4:12
  on
• 4:12
  the
• 4:12
  journey
• 4:13
  or
• 4:13
  let
• 4:13
  us
• 4:13
  say
• 4:13
  the,
• 4:14
  the
• 4:14
  Alexa
• 4:14
  GPT
• 4:15
  front,
• 4:15
  we
• 4:16
  have
• 4:16
  seen
• 4:16
  already
• 4:16
  a
• 4:16
  30%
• 4:17
  time
• 4:17
  saving.
• 4:17
  Right.
• 4:18
  That's
• 4:18
  a
• 4:18
  very
• 4:18
  quantifiable
• 4:19
  thing.
• 4:19
  But
• 4:20
  that
• 4:20
  time
• 4:20
  has
• 4:21
  been
• 4:21
  reinvested
• 4:22
  in
• 4:22
  identifying
• 4:23
  new
• 4:23
  areas
• 4:23
  of
• 4:23
  opportunity.
• 4:24
  I
• 4:24
  think
• 4:24
  it
• 4:25
  really
• 4:25
  has
• 4:25
  gotten
• 4:25
  diverted
• 4:26
  into
• 4:26
  more
• 4:26
  strategic
• 4:27
  areas
• 4:27
  and
• 4:28
  that's
• 4:28
  where
• 4:28
  our
• 4:29
  Alexa
• 4:29
  Insights,
• 4:30
  which
• 4:30
  is
• 4:30
  our
• 4:30
  tool,
• 4:31
  which
• 4:31
  essentially
• 4:32
  is
• 4:32
  more
• 4:32
  of
• 4:32
  an
• 4:32
  AI
• 4:33
  marketing
• 4:33
  experimentation
• 4:34
  platform.
• 4:35
  That
• 4:35
  is
• 4:35
  the
• 4:35
  reason.
• 4:35
  And
• 4:35
  we
• 4:35
  have
• 4:35
  been
• 4:36
  wearing
• 4:36
  these
• 4:36
  lab
• 4:36
  coats.
• 4:36
  You're
• 4:37
  in
• 4:37
  a
• 4:37
  lab
• 4:37
  coat.
• 4:38
  We
• 4:38
  are
• 4:38
  experimenters
• 4:39
  to
• 4:40
  identifying
• 4:40
  new
• 4:40
  opportunities
• 4:41
  where
• 4:41
  you
• 4:41
  can
• 4:42
  really
• 4:42
  find
• 4:42
  revenues.
• 4:43
  And
• 4:43
  that
• 4:43
  has
• 4:44
  been
• 4:44
  really
• 4:45
  a
• 4:45
  game
• 4:45
  changer
• 4:46
  because
• 4:46
  we
• 4:47
  are
• 4:47
  able
• 4:47
  to
• 4:47
  identify
• 4:47
  revenue
• 4:48
  opportunities
• 4:49
  which
• 4:49
  normally
• 4:50
  in
• 4:50
  regular
• 4:50
  campaign
• 4:51
  management,
• 4:51
  on
• 4:51
  meta,
• 4:52
  Google,
• 4:52
  even
• 4:53
  email
• 4:53
  marketing,
• 4:54
  there
• 4:54
  was
• 4:54
  no
• 4:54
  way
• 4:54
  for
• 4:54
  us
• 4:54
  to
• 4:55
  do
• 4:55
  that.
• 4:55
  So
• 4:56
  the
• 4:56
  ROI
• 4:56
  there
• 4:57
  has
• 4:57
  been
• 4:58
  close
• 4:58
  to
• 4:58
  20x
• 4:59
  for
• 4:59
  the
• 5:00
  performance
• 5:01
  efficiency
• 5:01
  component
• 5:02
  on
• 5:02
  the
• 5:02
  gen
• 5:03
  AI
• 5:03
  or
• 5:03
  the
• 5:03
  Alexa
• 5:04
  GPT
• 5:04
  component
• 5:05
  has
• 5:05
  been
• 5:05
  just
• 5:05
  a
• 5:05
  saving
• 5:06
  of
• 5:06
  time
• 5:06
  and
• 5:06
  huge
• 5:07
  increase
• 5:07
  in
• 5:07
  efficiency
• 5:08
  boost.
• 5:08
  Okay.
• 5:09
  One
• 5:09
  of
• 5:09
  the
• 5:09
  things
• 5:09
  that
• 5:10
  you
• 5:10
  mentioned
• 5:10
  and
• 5:11
  why
• 5:11
  you're
• 5:11
  wearing
• 5:11
  this
• 5:12
  lab
• 5:12
  coat
• 5:12
  is
• 5:13
  about
• 5:13
  experimentation.
• 5:14
  Y
• 5:16
  How
• 5:16
  should
• 5:16
  a
• 5:16
  retailer
• 5:17
  approach
• 5:17
  experimentation?
• 5:18
  Because
• 5:18
  it
• 5:18
  can
• 5:19
  be
• 5:19
  costly
• 5:19
  and
• 5:19
  it
• 5:19
  can
• 5:20
  be,
• 5:20
  you
• 5:20
  know,
• 5:20
  you,
• 5:21
  you
• 5:21
  may
• 5:21
  fail,
• 5:21
  it's
• 5:22
  higher,
• 5:22
  a
• 5:22
  very
• 5:23
  high
• 5:23
  likelihood
• 5:23
  that
• 5:23
  you
• 5:23
  could
• 5:24
  fail.
• 5:24
  So
• 5:24
  how
• 5:24
  are
• 5:25
  you
• 5:25
  advising
• 5:26
  that
• 5:26
  retailers
• 5:26
  take
• 5:27
  the
• 5:27
  first
• 5:27
  step
• 5:28
  into
• 5:28
  experimenting?
• 5:30
  Yeah,
• 5:30
  I
• 5:30
  think
• 5:30
  the
• 5:30
  first
• 5:31
  part
• 5:31
  essentially
• 5:32
  is
• 5:32
  really
• 5:32
  identifying
• 5:33
  what
• 5:33
  your
• 5:34
  business
• 5:34
  outcomes
• 5:35
  or
• 5:35
  problem
• 5:35
  says.
• 5:35
  Right.
• 5:36
  And
• 5:36
  then
• 5:37
  identifying
• 5:37
  a
• 5:38
  very
• 5:38
  simple
• 5:38
  question.
• 5:40
  I
• 5:40
  am
• 5:40
  really
• 5:40
  trying
• 5:40
  to
• 5:41
  define
• 5:41
  a
• 5:41
  campaign,
• 5:41
  let
• 5:42
  us
• 5:42
  say
• 5:42
  a
• 5:42
  campaign
• 5:42
  on
• 5:42
  Google
• 5:43
  Meta
• 5:43
  and
• 5:43
  so
• 5:43
  on
• 5:44
  in
• 5:44
  a
• 5:44
  certain
• 5:44
  way.
• 5:44
  Right.
• 5:44
  Within
• 5:45
  the
• 5:45
  campaign
• 5:45
  management.
• 5:45
  Yeah.
• 5:46
  What
• 5:46
  may
• 5:47
  I
• 5:47
  be
• 5:47
  missing
• 5:47
  out,
• 5:48
  which
• 5:48
  the
• 5:48
  regular
• 5:49
  campaign
• 5:49
  management
• 5:49
  is
• 5:50
  not?
• 5:50
  So
• 5:50
  I
• 5:50
  think
• 5:50
  just
• 5:51
  first
• 5:51
  is
• 5:51
  acknowledging
• 5:52
  that
• 5:52
  you
• 5:52
  may
• 5:52
  be
• 5:52
  missing
• 5:53
  out
• 5:53
  on
• 5:53
  a
• 5:53
  bigger
• 5:54
  opportunity
• 5:54
  is
• 5:54
  the
• 5:54
  first
• 5:55
  step.
• 5:55
  The
• 5:55
  second
• 5:56
  part
• 5:56
  is
• 5:56
  identifying
• 5:57
  hypothesis.
• 5:57
  For
• 5:57
  example,
• 5:58
  we
• 5:58
  had
• 5:59
  a
• 5:59
  tremendously
• 6:00
  successful
• 6:00
  run
• 6:00
  with
• 6:01
  a
• 6:01
  company
• 6:01
  called
• 6:01
  CarParts.com.
• 6:02
  yes.
• 6:03
  They
• 6:03
  sell
• 6:03
  obviously
• 6:04
  car
• 6:04
  parts.
• 6:05
  They
• 6:05
  had
• 6:05
  about
• 6:05
  40
• 6:06
  million
• 6:06
  SKUs
• 6:07
  that
• 6:07
  they
• 6:08
  sell
• 6:08
  normally.
• 6:09
  40
• 6:09
  million
• 6:09
  SKUs
• 6:10
  out
• 6:10
  of
• 6:11
  which
• 6:11
  about
• 6:11
  3
• 6:11
  million
• 6:12
  SKUs
• 6:12
  did
• 6:13
  not
• 6:13
  sell
• 6:13
  for
• 6:13
  the
• 6:13
  last
• 6:14
  two
• 6:14
  years.
• 6:14
  Now
• 6:14
  there
• 6:15
  is
• 6:15
  an
• 6:15
  inventory
• 6:15
  carrying
• 6:15
  cost
• 6:16
  which
• 6:16
  is
• 6:16
  quite
• 6:17
  ginormous.
• 6:17
  Absolutely.
• 6:18
  Yeah.
• 6:18
  So
• 6:18
  their
• 6:19
  challenge
• 6:19
  to
• 6:19
  us
• 6:19
  was,
• 6:20
  let
• 6:20
  us
• 6:20
  see
• 6:20
  how
• 6:21
  many
• 6:21
  of
• 6:21
  these
• 6:21
  SKUs,
• 6:22
  dormant
• 6:22
  SKUs,
• 6:22
  are
• 6:23
  you
• 6:23
  able
• 6:23
  to
• 6:23
  reactivate?
• 6:24
  So
• 6:24
  we
• 6:25
  set
• 6:25
  up
• 6:25
  those
• 6:25
  campaigns
• 6:26
  on
• 6:26
  Google
• 6:26
  Ads
• 6:26
  using,
• 6:27
  and
• 6:27
  then
• 6:27
  really
• 6:28
  fed
• 6:28
  them
• 6:28
  Alexa
• 6:29
  insights
• 6:29
  powered
• 6:29
  audiences,
• 6:30
  the
• 6:31
  high
• 6:31
  quality
• 6:31
  audiences
• 6:32
  or
• 6:32
  the
• 6:32
  high
• 6:32
  value
• 6:32
  audiences.
• 6:33
  And
• 6:34
  in
• 6:34
  just
• 6:34
  four
• 6:34
  months
• 6:35
  we
• 6:35
  were
• 6:35
  able
• 6:35
  to
• 6:35
  reactivate
• 6:36
  1100
• 6:36
  SKUs
• 6:37
  that
• 6:37
  they
• 6:37
  had
• 6:38
  not
• 6:38
  sold
• 6:38
  in
• 6:39
  24
• 6:39
  months.
• 6:39
  That's
• 6:40
  just
• 6:40
  insane.
• 6:41
  Right?
• 6:41
  It
• 6:41
  generated
• 6:42
  in
• 6:42
  just
• 6:42
  in
• 6:43
  four
• 6:43
  months
• 6:43
  a
• 6:43
  billion
• 6:43
  dollar
• 6:44
  extra
• 6:44
  revenue
• 6:45
  for
• 6:45
  them.
• 6:46
  In
• 6:46
  a
• 6:46
  span
• 6:46
  of
• 6:46
  12
• 6:46
  months,
• 6:47
  the
• 6:47
  same
• 6:47
  new
• 6:48
  customers,
• 6:48
  we
• 6:48
  got
• 6:49
  about
• 6:49
  30%
• 6:49
  new
• 6:50
  customers
• 6:50
  out
• 6:50
  of
• 6:50
  that.
• 6:51
  They
• 6:51
  sort
• 6:52
  of
• 6:52
  went
• 6:52
  ahead
• 6:52
  and
• 6:52
  spent
• 6:52
  about
• 6:53
  two
• 6:53
  and
• 6:53
  a
• 6:53
  half
• 6:53
  million
• 6:54
  dollars,
• 6:55
  the
• 6:55
  ones
• 6:55
  just
• 6:56
  by
• 6:56
  reactivating
• 6:57
  these
• 6:57
  dormant
• 6:57
  skills
• 6:58
  which
• 6:58
  otherwise
• 6:59
  regular
• 6:59
  campaign
• 6:59
  management
• 7:00
  was
• 7:00
  unable
• 7:00
  to
• 7:01
  do
• 7:01
  for
• 7:01
  the
• 7:01
  last
• 7:01
  two
• 7:01
  years.
• 7:02
  And
• 7:02
  yeah,
• 7:02
  you
• 7:02
  can't
• 7:03
  find
• 7:03
  those
• 7:03
  without
• 7:04
  tools
• 7:04
  like
• 7:04
  AI
• 7:05
  supporting
• 7:05
  your
• 7:06
  business,
• 7:06
  giving
• 7:07
  your
• 7:07
  data
• 7:07
  analysts
• 7:08
  the
• 7:08
  information
• 7:09
  that
• 7:09
  they
• 7:09
  need
• 7:09
  to
• 7:09
  make
• 7:10
  the
• 7:10
  next
• 7:10
  step
• 7:10
  in
• 7:11
  the
• 7:11
  next
• 7:11
  decision.
• 7:12
  All
• 7:12
  right,
• 7:12
  Udane,
• 7:12
  let's
• 7:13
  close
• 7:14
  by
• 7:15
  talking
• 7:15
  about
• 7:15
  something
• 7:16
  that
• 7:16
  you
• 7:16
  mentioned,
• 7:16
  performance
• 7:17
  AI.
• 7:18
  Now
• 7:18
  what
• 7:18
  is
• 7:19
  your
• 7:19
  advice
• 7:19
  for
• 7:20
  retailers
• 7:21
  as
• 7:21
  they're
• 7:21
  trying
• 7:21
  to
• 7:22
  figure
• 7:22
  out
• 7:22
  how
• 7:23
  to
• 7:23
  apply
• 7:23
  this
• 7:23
  in
• 7:24
  their
• 7:24
  business
• 7:24
  today?
• 7:25
  Absolutely.
• 7:26
  So
• 7:26
  I
• 7:27
  think
• 7:27
  there
• 7:27
  has
• 7:27
  been
• 7:28
  very
• 7:28
  clear
• 7:29
  message
• 7:29
  being
• 7:30
  sent
• 7:30
  by
• 7:30
  all
• 7:30
  the
• 7:31
  channels
• 7:31
  like
• 7:31
  Google
• 7:32
  and
• 7:32
  Meta
• 7:32
  and
• 7:32
  even
• 7:33
  Amazon
• 7:34
  that
• 7:34
  they
• 7:35
  will
• 7:35
  be
• 7:35
  implementing
• 7:36
  AI
• 7:36
  to
• 7:36
  take
• 7:36
  off
• 7:36
  all
• 7:37
  the
• 7:37
  manual
• 7:37
  work
• 7:37
  or
• 7:37
  campaign
• 7:38
  management
• 7:38
  work
• 7:39
  or
• 7:39
  the
• 7:39
  work
• 7:39
  that
• 7:41
  marketers
• 7:41
  have
• 7:42
  really
• 7:42
  been
• 7:42
  used
• 7:42
  to
• 7:42
  doing
• 7:43
  for
• 7:43
  the
• 7:43
  last
• 7:43
  many
• 7:43
  years
• 7:44
  now.
• 7:44
  Right.
• 7:45
  So
• 7:45
  understandably
• 7:46
  those.
• 7:46
  And
• 7:47
  they
• 7:47
  essentially
• 7:48
  package
• 7:48
  it
• 7:48
  almost
• 7:49
  like
• 7:49
  as
• 7:49
  a
• 7:49
  black
• 7:49
  box.
• 7:51
  Now
• 7:51
  the
• 7:51
  only
• 7:51
  way
• 7:52
  to
• 7:52
  crack
• 7:52
  the
• 7:52
  black
• 7:52
  box
• 7:53
  because
• 7:53
  the
• 7:53
  moment
• 7:54
  you
• 7:54
  tamper
• 7:54
  with
• 7:54
  their
• 7:54
  algorithm,
• 7:55
  let
• 7:55
  us
• 7:55
  say
• 7:55
  Performance
• 7:56
  Max
• 7:56
  or
• 7:56
  Advantage
• 7:57
  plus,
• 7:59
  it
• 7:59
  really
• 7:59
  sort
• 7:59
  of
• 8:00
  the
• 8:00
  performance
• 8:00
  gets
• 8:01
  impacted.
• 8:01
  Right.
• 8:02
  So
• 8:02
  essentially
• 8:02
  what
• 8:02
  we
• 8:03
  are
• 8:03
  seeing
• 8:03
  is
• 8:04
  the
• 8:04
  only
• 8:04
  way
• 8:04
  that
• 8:05
  you
• 8:05
  can
• 8:05
  really
• 8:05
  tap
• 8:05
  into
• 8:06
  the
• 8:06
  power
• 8:06
  beyond
• 8:07
  just
• 8:07
  what
• 8:07
  Google
• 8:07
  and
• 8:08
  Meta
• 8:08
  sort
• 8:08
  of
• 8:09
  really
• 8:09
  provides
• 8:09
  to
• 8:09
  you
• 8:10
  is
• 8:10
  through
• 8:10
  the
• 8:10
  experimentation
• 8:11
  part.
• 8:11
  So
• 8:12
  Alexa
• 8:12
  Insights,
• 8:13
  what
• 8:13
  we
• 8:13
  do
• 8:13
  is
• 8:13
  pretty
• 8:13
  straightforward.
• 8:14
  We
• 8:14
  use
• 8:14
  the
• 8:15
  first
• 8:15
  party
• 8:15
  data,
• 8:16
  we
• 8:16
  really
• 8:17
  run
• 8:17
  our
• 8:18
  algorithms,
• 8:18
  the
• 8:19
  machine
• 8:19
  learning
• 8:19
  and
• 8:19
  predictive
• 8:20
  analytics
• 8:20
  algorithms
• 8:21
  to
• 8:22
  really
• 8:22
  create
• 8:22
  cohorts
• 8:23
  like
• 8:23
  who's
• 8:23
  likely
• 8:24
  to
• 8:24
  buy
• 8:24
  from
• 8:24
  you
• 8:24
  in
• 8:24
  the
• 8:25
  next
• 8:25
  two
• 8:25
  months,
• 8:26
  which
• 8:26
  of
• 8:26
  the
• 8:27
  specific
• 8:27
  customers
• 8:28
  are
• 8:28
  likely
• 8:28
  to
• 8:28
  churn
• 8:28
  in
• 8:29
  the
• 8:29
  next
• 8:29
  12
• 8:29
  months.
• 8:30
  And
• 8:30
  then
• 8:30
  we
• 8:30
  are
• 8:31
  able
• 8:31
  to
• 8:31
  inject
• 8:32
  these
• 8:32
  audience
• 8:33
  into
• 8:33
  Google
• 8:33
  and
• 8:33
  Meta
• 8:34
  and
• 8:34
  get
• 8:34
  them
• 8:34
  to
• 8:34
  find
• 8:34
  lookalikes.
• 8:35
  Yeah.
• 8:35
  So
• 8:36
  you're
• 8:36
  slowly
• 8:36
  expanding
• 8:37
  the
• 8:37
  quality
• 8:38
  of
• 8:38
  customer
• 8:39
  that
• 8:39
  you
• 8:39
  are
• 8:39
  able
• 8:39
  to
• 8:40
  acquire
• 8:40
  through
• 8:40
  Google
• 8:40
  and
• 8:41
  Meta
• 8:41
  through
• 8:41
  smarter
• 8:42
  experimentation.
• 8:42
  Right.
• 8:43
  So
• 8:43
  the
• 8:44
  plan
• 8:45
  should
• 8:45
  be
• 8:45
  to
• 8:46
  not
• 8:47
  only
• 8:47
  personalize
• 8:48
  your,
• 8:49
  you
• 8:49
  know,
• 8:49
  your
• 8:49
  experiences
• 8:50
  for
• 8:51
  your
• 8:51
  consumers,
• 8:52
  but
• 8:52
  now
• 8:53
  you're
• 8:53
  able
• 8:53
  to
• 8:54
  personalize
• 8:54
  who
• 8:54
  you're
• 8:55
  targeting
• 8:56
  using
• 8:56
  these
• 8:56
  tools.
• 8:56
  Absolutely.
• 8:57
  This
• 8:57
  performance
• 8:58
  AI
• 8:58
  that
• 8:58
  you're
• 8:58
  targeting.
• 8:59
  Absolutely,
• 8:59
  absolutely.
• 9:00
  I
• 9:00
  think
• 9:00
  look
• 9:00
  beyond
• 9:00
  because
• 9:01
  there
• 9:01
  are
• 9:01
  opportunities
• 9:02
  have
• 9:02
  really
• 9:02
  exploded
• 9:03
  and
• 9:03
  AI
• 9:03
  really
• 9:04
  helps
• 9:04
  us
• 9:04
  to
• 9:04
  tap
• 9:04
  into
• 9:04
  these
• 9:05
  opportunities.
• 9:05
  My
• 9:05
  big
• 9:06
  message
• 9:06
  would
• 9:06
  that
• 9:06
  be
• 9:07
  that
• 9:07
  utilize
• 9:08
  these
• 9:08
  AI
• 9:09
  tools,
• 9:09
  AI
• 9:09
  will
• 9:09
  not
• 9:10
  be
• 9:10
  only
• 9:10
  Geni.
• 9:11
  Like
• 9:11
  I
• 9:11
  am
• 9:11
  a
• 9:11
  huge
• 9:12
  advocate
• 9:12
  for
• 9:12
  machine
• 9:13
  learning.
• 9:13
  Right.
• 9:13
  And
• 9:14
  deep
• 9:14
  learning.
• 9:14
  So
• 9:14
  those
• 9:15
  are
• 9:15
  the
• 9:15
  old
• 9:15
  school
• 9:15
  AIs,
• 9:16
  but
• 9:16
  the
• 9:16
  impact
• 9:17
  that
• 9:17
  they
• 9:17
  can
• 9:18
  have
• 9:18
  working
• 9:18
  with
• 9:18
  your
• 9:18
  first
• 9:19
  party
• 9:19
  data
• 9:20
  is
• 9:20
  just
• 9:20
  ginormous.
• 9:21
  And
• 9:21
  I
• 9:21
  mean
• 9:21
  we
• 9:21
  are
• 9:21
  seeing
• 9:22
  transformations.
• 9:22
  I
• 9:23
  have
• 9:23
  shared
• 9:23
  with
• 9:23
  you
• 9:24
  the
• 9:24
  car
• 9:24
  part
• 9:24
  story.
• 9:24
  Yeah.
• 9:25
  I
• 9:25
  mean
• 9:25
  those
• 9:25
  guys
• 9:25
  were
• 9:26
  so
• 9:26
  happy.
• 9:26
  Think
• 9:26
  of
• 9:27
  the
• 9:27
  impact
• 9:27
  on
• 9:27
  the
• 9:27
  business.
• 9:28
  Right.
• 9:29
  Well,
• 9:29
  again,
• 9:30
  is
• 9:30
  there,
• 9:30
  I
• 9:30
  have
• 9:30
  to
• 9:31
  ask
• 9:31
  too,
• 9:31
  is
• 9:31
  there
• 9:31
  anything
• 9:32
  that
• 9:32
  you
• 9:32
  would
• 9:32
  recommend
• 9:33
  that
• 9:33
  people
• 9:33
  do
• 9:34
  not
• 9:35
  invest
• 9:35
  in
• 9:36
  right
• 9:36
  now
• 9:36
  when
• 9:36
  it
• 9:36
  comes
• 9:37
  to
• 9:37
  AI
• 9:37
  tools?
• 9:38
  Or
• 9:38
  like,
• 9:38
  have
• 9:38
  you
• 9:39
  seen,
• 9:39
  have
• 9:39
  you
• 9:40
  seen
• 9:40
  things
• 9:40
  that
• 9:40
  retailers
• 9:41
  or
• 9:41
  brands
• 9:41
  that
• 9:41
  you've
• 9:42
  worked
• 9:42
  with
• 9:42
  have
• 9:42
  tried
• 9:43
  that
• 9:43
  didn't
• 9:44
  work
• 9:44
  that
• 9:44
  you
• 9:44
  would
• 9:45
  say?
• 9:45
  I
• 9:45
  would
• 9:45
  avoid
• 9:46
  that
• 9:46
  listener.
• 9:46
  So
• 9:47
  I
• 9:47
  would
• 9:47
  think
• 9:47
  one
• 9:47
  of
• 9:47
  the
• 9:47
  trends,
• 9:48
  I
• 9:48
  think
• 9:48
  some
• 9:48
  of
• 9:48
  you
• 9:48
  may
• 9:49
  already
• 9:49
  sort
• 9:49
  of
• 9:49
  know
• 9:49
  about
• 9:49
  it,
• 9:50
  that
• 9:50
  there
• 9:51
  are
• 9:51
  a
• 9:51
  lot
• 9:51
  of
• 9:51
  applications
• 9:52
  that
• 9:52
  mushroomed
• 9:53
  last
• 9:53
  year
• 9:54
  actually
• 9:54
  at
• 9:54
  the
• 9:54
  same
• 9:54
  event,
• 9:55
  and
• 9:55
  this
• 9:55
  year
• 9:56
  I'm
• 9:56
  seeing
• 9:56
  some
• 9:56
  of
• 9:56
  them
• 9:56
  as
• 9:57
  well,
• 9:57
  which
• 9:57
  essentially
• 9:58
  slapping
• 9:59
  a
• 9:59
  different
• 9:59
  skin
• 10:00
  or
• 10:00
  an
• 10:00
  application
• 10:00
  layer
• 10:01
  on
• 10:01
  top
• 10:01
  of
• 10:02
  the
• 10:02
  core
• 10:02
  LLMs.
• 10:03
  Now,
• 10:03
  if
• 10:03
  you
• 10:03
  really
• 10:04
  look
• 10:04
  at
• 10:04
  it,
• 10:04
  if
• 10:04
  you
• 10:04
  have
• 10:04
  been
• 10:04
  following
• 10:05
  the
• 10:05
  news,
• 10:05
  Claude
• 10:06
  has
• 10:06
  been
• 10:07
  systematically
• 10:08
  removing
• 10:08
  all
• 10:08
  those
• 10:08
  application
• 10:09
  layers.
• 10:10
  So
• 10:10
  don't
• 10:10
  jump
• 10:11
  in
• 10:11
  just
• 10:11
  because
• 10:11
  that's
• 10:12
  the
• 10:12
  next
• 10:12
  glitzy
• 10:12
  gem
• 10:13
  thing,
• 10:13
  but
• 10:14
  jump
• 10:14
  in
• 10:14
  because
• 10:15
  it
• 10:15
  really
• 10:15
  is
• 10:15
  meaningful,
• 10:16
  different
• 10:16
  for
• 10:16
  your
• 10:17
  business
• 10:17
  and
• 10:17
  can
• 10:17
  really
• 10:17
  help
• 10:18
  you
• 10:18
  scale
• 10:18
  and
• 10:18
  grow.
• 10:19
  So
• 10:19
  that
• 10:19
  would
• 10:19
  be
• 10:19
  my
• 10:20
  request
• 10:21
  because
• 10:21
  I
• 10:21
  feel
• 10:22
  at
• 10:22
  the
• 10:22
  end
• 10:22
  of
• 10:22
  it,
• 10:22
  the
• 10:22
  LLMs,
• 10:23
  whether
• 10:23
  it
• 10:23
  is
• 10:23
  ChatGPT
• 10:24
  or
• 10:24
  Claude,
• 10:25
  will
• 10:25
  actually
• 10:25
  build
• 10:25
  those
• 10:26
  applications
• 10:26
  very
• 10:26
  quickly
• 10:27
  or
• 10:27
  someone
• 10:27
  will
• 10:28
  and
• 10:29
  suddenly
• 10:29
  that
• 10:29
  tool
• 10:30
  that
• 10:30
  you
• 10:30
  had
• 10:30
  really
• 10:30
  invested
• 10:31
  in
• 10:31
  goes
• 10:31
  for
• 10:32
  a
• 10:32
  toss
• 10:32
  because
• 10:32
  it
• 10:32
  doesn't
• 10:33
  really
• 10:33
  add
• 10:33
  any
• 10:33
  extra
• 10:33
  value
• 10:34
  and
• 10:34
  you
• 10:34
  are
• 10:34
  ending
• 10:34
  paying
• 10:35
  up
• 10:35
  for
• 10:35
  it,
• 10:35
  right?
• 10:36
  Yeah.
• 10:36
  Okay.
• 10:37
  Uday,
• 10:37
  thank
• 10:38
  you
• 10:38
  so
• 10:38
  much.
• 10:39
  If
• 10:39
  people
• 10:40
  want
• 10:40
  to
• 10:40
  learn
• 10:40
  more
• 10:41
  about
• 10:41
  how
• 10:41
  to
• 10:42
  smartly
• 10:42
  experiment
• 10:43
  with
• 10:43
  AI,
• 10:44
  how
• 10:44
  to
• 10:45
  see
• 10:46
  their
• 10:46
  business
• 10:47
  transform
• 10:47
  with
• 10:48
  the
• 10:48
  digital
• 10:49
  agency
• 10:49
  of
• 10:50
  the
• 10:50
  future,
• 10:51
  how
• 10:51
  do
• 10:51
  they
• 10:51
  get
• 10:51
  in
• 10:51
  touch
• 10:52
  with
• 10:52
  you
• 10:52
  and
• 10:52
  Netalix?
• 10:53
  Come
• 10:53
  over
• 10:54
  at
• 10:54
  booth
• 10:54
  number
• 10:54
  501.
• 10:55
  That's
• 10:55
  I
• 10:55
  think
• 10:55
  the
• 10:55
  first
• 10:56
  starter.
• 10:56
  We'll
• 10:56
  have
• 10:56
  a
• 10:57
  mad
• 10:57
  scientist
• 10:58
  coming
• 10:58
  up
• 10:59
  soon
• 10:59
  in
• 10:59
  about
• 10:59
  the
• 10:59
  next
• 11:00
  10
• 11:00
  minutes.
• 11:00
  Okay.
• 11:01
  So
• 11:01
  I
• 11:01
  think
• 11:02
  sort
• 11:02
  of
• 11:03
  come
• 11:03
  to
• 11:03
  us
• 11:04
  at
• 11:04
  the
• 11:04
  booth
• 11:04
  and
• 11:04
  talk
• 11:04
  to
• 11:04
  us.
• 11:05
  501.
• 11:05
  We
• 11:06
  also
• 11:06
  are
• 11:06
  sponsoring
• 11:07
  a
• 11:07
  wine
• 11:07
  and
• 11:07
  lunch
• 11:07
  session
• 11:08
  today
• 11:08
  afternoon
• 11:09
  and
• 11:10
  I
• 11:10
  know
• 11:10
  it's
• 11:10
  already
• 11:11
  pretty
• 11:11
  booked,
• 11:12
  but
• 11:12
  do
• 11:12
  come
• 11:13
  over
• 11:13
  and
• 11:13
  we
• 11:14
  will
• 11:14
  try
• 11:14
  to
• 11:14
  sort
• 11:14
  of
• 11:14
  get
• 11:14
  you
• 11:15
  in
• 11:15
  the
• 11:15
  room
• 11:15
  for
• 11:15
  the
• 11:16
  wine
• 11:16
  and
• 11:16
  lunch
• 11:16
  session.
• 11:17
  We
• 11:17
  we
• 11:17
  are
• 11:17
  also
• 11:17
  hosting
• 11:18
  a
• 11:18
  private
• 11:19
  client
• 11:19
  only
• 11:19
  dinner.
• 11:20
  So
• 11:20
  if
• 11:21
  we
• 11:21
  have
• 11:21
  about
• 11:21
  three
• 11:22
  seats
• 11:22
  available
• 11:23
  and
• 11:23
  if
• 11:23
  some
• 11:23
  of
• 11:23
  you
• 11:23
  are
• 11:24
  available,
• 11:24
  feel
• 11:24
  free
• 11:25
  to
• 11:25
  come
• 11:25
  over
• 11:25
  but
• 11:25
  through
• 11:26
  an
• 11:26
  introduction
• 11:26
  preferably
• 11:27
  and
• 11:28
  we'll
• 11:28
  try
• 11:28
  to
• 11:28
  absolutely
• 11:29
  get
• 11:29
  you
• 11:29
  to
• 11:29
  meet
• 11:29
  with
• 11:29
  our
• 11:30
  clients.
• 11:31
  The
• 11:31
  clients
• 11:31
  essentially
• 11:32
  are
• 11:32
  the
• 11:32
  reason
• 11:32
  why
• 11:33
  we
• 11:33
  are
• 11:33
  here.
• 11:33
  And
• 11:35
  just
• 11:35
  one
• 11:35
  last
• 11:36
  claim,
• 11:36
  a
• 11:36
  little
• 11:36
  bit
• 11:37
  of
• 11:37
  a
• 11:37
  brag
• 11:37
  I'll
• 11:37
  end
• 11:38
  with
• 11:38
  because
• 11:38
  this
• 11:38
  is
• 11:39
  not
• 11:39
  for
• 11:39
  me,
• 11:39
  for
• 11:39
  my
• 11:40
  team.
• 11:40
  Yes,
• 11:40
  we
• 11:41
  are
• 11:41
  actually
• 11:41
  the
• 11:42
  so
• 11:42
  called
• 11:42
  the
• 11:42
  performance
• 11:43
  marketing
• 11:43
  or
• 11:43
  AI
• 11:44
  digital
• 11:44
  agency
• 11:45
  with
• 11:45
  the
• 11:45
  highest
• 11:46
  NPA
• 11:46
  score
• 11:47
  net
• 11:47
  promoter
• 11:47
  score
• 11:48
  in
• 11:48
  the
• 11:48
  US
• 11:48
  of
• 11:49
  84.4.
• 11:50
  Wow.
• 11:51
  Prior
• 11:51
  to
• 11:51
  us
• 11:51
  there
• 11:52
  has
• 11:52
  been
• 11:52
  no
• 11:52
  other
• 11:52
  agency
• 11:53
  which
• 11:53
  has
• 11:53
  gone
• 11:53
  beyond
• 11:54
  80.
• 11:55
  So
• 11:55
  I
• 11:55
  think
• 11:55
  it
• 11:55
  gives
• 11:56
  the
• 11:56
  client
• 11:56
  love
• 11:56
  that
• 11:56
  I'm
• 11:57
  extremely
• 11:57
  thankful
• 11:57
  for.
• 11:57
  Many
• 11:58
  of
• 11:58
  the
• 11:58
  clients
• 11:58
  are
• 11:58
  here
• 11:59
  today,
• 11:59
  so
• 11:59
  thank
• 12:00
  you
• 12:00
  very
• 12:00
  much.
• 12:00
  Opportunity
• 12:01
  again.
• 12:01
  If
• 12:02
  people
• 12:02
  are
• 12:02
  listening
• 12:02
  at
• 12:03
  home,
• 12:03
  what's
• 12:04
  the
• 12:04
  best
• 12:04
  way
• 12:04
  for
• 12:04
  them
• 12:05
  to
• 12:05
  get
• 12:05
  in
• 12:05
  touch
• 12:05
  with
• 12:05
  you
• 12:06
  after
• 12:06
  the
• 12:06
  show?
• 12:07
  I
• 12:07
  would
• 12:07
  think
• 12:07
  just
• 12:07
  come
• 12:08
  to
• 12:08
  our
• 12:08
  website
• 12:08
  or
• 12:08
  just
• 12:09
  email
• 12:09
  me
• 12:09
  uden
• 12:10
  u
• 12:10
  D
• 12:10
  a
• 12:10
  y
• 12:10
  n
• 12:11
  et
• 12:11
  alexa.com
• 12:12
  any
• 12:12
  t
• 12:13
  elixir
• 12:14
  com
• 12:15
  and
• 12:16
  we
• 12:16
  are
• 12:16
  pretty
• 12:17
  quick
• 12:17
  in
• 12:17
  terms
• 12:17
  of
• 12:17
  getting
• 12:17
  back
• 12:18
  to
• 12:18
  you.
• 12:18
  I
• 12:19
  can
• 12:19
  attest
• 12:19
  to
• 12:19
  that.
• 12:20
  They
• 12:20
  are
• 12:20
  great
• 12:20
  again
• 12:21
  in
• 12:21
  the
• 12:21
  team.
• 12:22
  Thank
• 12:22
  you
• 12:22
  so
• 12:22
  much
• 12:23
  for
• 12:23
  helping
• 12:23
  us
• 12:23
  bring
• 12:24
  all
• 12:24
  of
• 12:24
  our
• 12:25
  coverage
• 12:25
  to
• 12:25
  those
• 12:26
  listening
• 12:26
  at
• 12:26
  home.
• 12:26
  Such
• 12:27
  a
• 12:27
  pleasure.
• 12:28
  And
• 12:28
  until
• 12:29
  the
• 12:29
  next
• 12:29
  interview,
• 12:30
  stay
• 12:30
  tuned.