WEBVTT

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Last

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week

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Amazon

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announced

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that

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its

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machine

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learning

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service

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Amazon

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Personalize

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which

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is

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focused

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on

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helping

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developers

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create

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individualised

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recommendations

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on

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their

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platform

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for

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their

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users

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has

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now

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become

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generally

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available

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although

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initially

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in

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certain

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regions

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only

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This

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is

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a

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huge

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opportunity

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for

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companies

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who

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wish

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to

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bring

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a

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more

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personalised

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approach

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to

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one

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or

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more

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parts

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of

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their

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business

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which

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according

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to

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research

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is

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definitely

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something

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that

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companies

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should

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be

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focusing

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on

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more

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as

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they

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look

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towards

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the

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future

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Personalised

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content

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has

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become

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a

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huge

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part

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of

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today’s

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online

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experience

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Service

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users

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and

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online

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store

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customers

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have

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already

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become

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accustomed

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to

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personalised

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recommendations

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that

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help

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guide

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them

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to

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content

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and

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products

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they

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are

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more

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likely

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to

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be

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interested

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in

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based

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on

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data

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gathered

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about

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an

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individual’s

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usage

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on

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a

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website

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or

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webstore

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However

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this

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does

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not

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represent

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the

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full

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extent

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of

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possibilities

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that

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personalisation

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offers

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On

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the

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contrary

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personalisation

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can

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be

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implemented

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in

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other

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business

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areas

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as

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well

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which

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opens

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up

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a

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whole

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new

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world

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of

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opportunities

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For

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example

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it

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is

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possible

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to

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implement

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personalisation

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in

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smaller

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details

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such

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as

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information

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panels

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as

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well

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as

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on

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a

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larger

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scale

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such

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as

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by

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creating

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a

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fully

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personalised

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user

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experience

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or

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a

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personalised

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sales

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experience

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e

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g

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for

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flight

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or

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bus

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tickets

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Another

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area

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where

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personalisation

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could

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and

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should

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definitely

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be

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used

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more

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is

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marketing

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The

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time

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of

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basic

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personalisation

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has

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already

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ended

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a

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fact

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that

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was

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already

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proven

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last

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year

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by

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Pure360

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whose

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research

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found

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that

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only

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8

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of

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customers

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are

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likely

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to

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engage

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with

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marketing

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material

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such

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as

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newsletters

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that

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addresses

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them

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by

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name

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This

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means

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that

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companies

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should

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endeavour

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to

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create

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more

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personalised

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marketing

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content

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if

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they

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hope

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to

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catch

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the

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attention

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of

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the

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other

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92

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of

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consumers

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To

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further

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bolster

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this

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idea

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SmarterHQ

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found

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in

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a

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survey

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they

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conducted

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that

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70

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of

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millennials

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are

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frustrated

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by

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companies

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who

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send

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them

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marketing

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emails

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that

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are

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irrelevant

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to

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them

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Only

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8

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is

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likely

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to

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engage

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with

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marketing

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material

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that

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addresses

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them

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by

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name

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and

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70

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of

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millennials

00:02:28.864 --> 00:02:29.104
are

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frustrated

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by

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companies

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who

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send

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them

00:02:31.233 --> 00:02:31.737
marketing

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emails

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that

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are

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irrelevant

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to

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them

00:02:34.531 --> 00:02:34.931
A

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huge

00:02:35.502 --> 00:02:36.048
impact

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on

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revenue

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Detailed

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and

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in

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depth

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personalisation

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also

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yields

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incredible

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results

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in

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terms

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of

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revenue

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Barilliance

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found

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that

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in

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the

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case

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of

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product

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recommendations

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the

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AOV

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or

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average

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order

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value

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multiplies

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by

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369

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when

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customers

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engage

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with

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a

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single

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personalised

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recommendation

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Even

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further

00:03:00.428 --> 00:03:00.556
that

00:03:00.622 --> 00:03:00.952
value

00:03:01.012 --> 00:03:01.192
was

00:03:01.224 --> 00:03:01.352
seen

00:03:01.405 --> 00:03:01.511
to

00:03:01.564 --> 00:03:01.988
continue

00:03:02.048 --> 00:03:02.468
growing

00:03:02.508 --> 00:03:02.628
for

00:03:02.654 --> 00:03:02.706
at

00:03:02.759 --> 00:03:03.024
least

00:03:03.064 --> 00:03:03.344
another

00:03:03.408 --> 00:03:03.664
four

00:03:03.755 --> 00:03:04.301
clicks

00:03:04.877 --> 00:03:05.261
They

00:03:05.325 --> 00:03:05.581
also

00:03:05.647 --> 00:03:05.977
found

00:03:06.009 --> 00:03:06.137
that

00:03:06.177 --> 00:03:06.377
these

00:03:06.443 --> 00:03:06.773
kinds

00:03:06.799 --> 00:03:06.851
of

00:03:06.918 --> 00:03:07.722
personalised

00:03:07.797 --> 00:03:08.922
recommendations

00:03:09.034 --> 00:03:09.482
also

00:03:09.539 --> 00:03:09.881
helped

00:03:09.943 --> 00:03:10.439
increase

00:03:10.483 --> 00:03:10.835
customer

00:03:10.900 --> 00:03:11.550
conversion

00:03:11.982 --> 00:03:12.110
with

00:03:12.136 --> 00:03:12.188
an

00:03:12.250 --> 00:03:12.746
increase

00:03:12.799 --> 00:03:12.905
of

00:03:12.985 --> 00:03:14.023
288

00:03:14.609 --> 00:03:15.139
after

00:03:15.179 --> 00:03:15.299
the

00:03:15.352 --> 00:03:15.617
first

00:03:15.677 --> 00:03:16.337
interaction

00:03:16.577 --> 00:03:17.696
Accenture

00:03:17.776 --> 00:03:18.096
also

00:03:18.152 --> 00:03:18.656
conducted

00:03:18.709 --> 00:03:19.133
research

00:03:19.213 --> 00:03:19.373
on

00:03:19.426 --> 00:03:20.725
personalisation

00:03:20.825 --> 00:03:21.125
and

00:03:21.178 --> 00:03:21.443
found

00:03:21.475 --> 00:03:21.603
that

00:03:21.643 --> 00:03:21.683
a

00:03:21.741 --> 00:03:22.321
staggering

00:03:22.481 --> 00:03:23.281
91

00:03:23.627 --> 00:03:23.679
of

00:03:23.751 --> 00:03:24.399
consumers

00:03:24.559 --> 00:03:25.039
are

00:03:25.087 --> 00:03:25.279
more

00:03:25.347 --> 00:03:25.755
likely

00:03:25.781 --> 00:03:25.833
to

00:03:25.913 --> 00:03:26.073
do

00:03:26.117 --> 00:03:26.469
business

00:03:26.501 --> 00:03:26.629
with

00:03:26.697 --> 00:03:27.105
brands

00:03:27.145 --> 00:03:27.265
who

00:03:27.318 --> 00:03:27.742
remember

00:03:27.790 --> 00:03:27.982
them

00:03:28.122 --> 00:03:28.542
and

00:03:28.602 --> 00:03:29.022
provide

00:03:29.054 --> 00:03:29.182
them

00:03:29.230 --> 00:03:29.422
with

00:03:29.486 --> 00:03:29.742
only

00:03:29.795 --> 00:03:30.060
those

00:03:30.151 --> 00:03:30.697
offers

00:03:30.737 --> 00:03:30.857
and

00:03:30.917 --> 00:03:31.817
recommendations

00:03:31.913 --> 00:03:32.297
that

00:03:32.317 --> 00:03:32.377
are

00:03:32.430 --> 00:03:32.854
relevant

00:03:32.880 --> 00:03:32.932
to

00:03:33.012 --> 00:03:33.332
them

00:03:33.962 --> 00:03:34.452
Another

00:03:34.512 --> 00:03:35.172
significant

00:03:35.252 --> 00:03:35.572
fact

00:03:35.588 --> 00:03:35.652
that

00:03:35.712 --> 00:03:36.132
emerged

00:03:36.180 --> 00:03:36.372
from

00:03:36.392 --> 00:03:36.452
the

00:03:36.572 --> 00:03:37.172
study

00:03:37.272 --> 00:03:37.572
was

00:03:37.604 --> 00:03:37.732
that

00:03:37.812 --> 00:03:38.372
48

00:03:38.718 --> 00:03:38.770
of

00:03:38.834 --> 00:03:39.410
consumers

00:03:39.463 --> 00:03:39.887
admitted

00:03:39.940 --> 00:03:40.046
to

00:03:40.076 --> 00:03:40.286
leaving

00:03:40.339 --> 00:03:40.445
at

00:03:40.485 --> 00:03:40.685
least

00:03:40.805 --> 00:03:41.165
one

00:03:41.267 --> 00:03:41.879
online

00:03:42.012 --> 00:03:42.677
store

00:03:42.737 --> 00:03:43.157
because

00:03:43.205 --> 00:03:43.397
they

00:03:43.461 --> 00:03:43.717
felt

00:03:43.733 --> 00:03:43.797
that

00:03:43.823 --> 00:03:43.875
it

00:03:43.915 --> 00:03:44.035
was

00:03:44.115 --> 00:03:44.515
badly

00:03:44.595 --> 00:03:45.155
curated

00:03:45.208 --> 00:03:45.314
to

00:03:45.340 --> 00:03:45.470
their

00:03:45.563 --> 00:03:46.028
needs

00:03:46.428 --> 00:03:47.068
As

00:03:47.121 --> 00:03:47.386
noted

00:03:47.412 --> 00:03:47.464
in

00:03:47.484 --> 00:03:47.544
the

00:03:47.624 --> 00:03:48.184
results

00:03:48.552 --> 00:03:48.744
this

00:03:48.789 --> 00:03:49.059
number

00:03:49.099 --> 00:03:49.219
has

00:03:49.312 --> 00:03:49.777
grown

00:03:49.841 --> 00:03:50.097
over

00:03:50.193 --> 00:03:50.577
time

00:03:51.187 --> 00:03:51.687
indicating

00:03:51.703 --> 00:03:51.767
that

00:03:51.823 --> 00:03:52.327
companies

00:03:52.359 --> 00:03:52.487
have

00:03:52.547 --> 00:03:52.727
not

00:03:52.827 --> 00:03:53.127
put

00:03:53.207 --> 00:03:53.527
time

00:03:53.587 --> 00:03:53.767
and

00:03:53.835 --> 00:03:54.243
effort

00:03:54.371 --> 00:03:54.883
into

00:03:54.927 --> 00:03:55.279
creating

00:03:55.359 --> 00:03:55.439
a

00:03:55.500 --> 00:03:56.232
personalised

00:03:56.297 --> 00:03:56.947
experience

00:03:57.027 --> 00:03:57.267
for

00:03:57.293 --> 00:03:57.423
their

00:03:57.487 --> 00:03:58.063
customers

00:03:59.183 --> 00:03:59.823
91

00:04:00.116 --> 00:04:00.222
of

00:04:00.286 --> 00:04:00.862
consumers

00:04:00.902 --> 00:04:01.022
are

00:04:01.086 --> 00:04:01.342
more

00:04:01.399 --> 00:04:01.741
likely

00:04:01.767 --> 00:04:01.819
to

00:04:01.899 --> 00:04:02.059
do

00:04:02.103 --> 00:04:02.455
business

00:04:02.487 --> 00:04:02.615
with

00:04:02.695 --> 00:04:03.175
brands

00:04:03.275 --> 00:04:03.575
who

00:04:03.637 --> 00:04:04.133
remember

00:04:04.197 --> 00:04:04.453
them

00:04:04.573 --> 00:04:04.933
and

00:04:04.993 --> 00:04:05.413
provide

00:04:05.445 --> 00:04:05.573
them

00:04:05.621 --> 00:04:05.813
with

00:04:05.893 --> 00:04:06.213
only

00:04:06.266 --> 00:04:06.690
relevant

00:04:06.781 --> 00:04:07.327
offers

00:04:07.427 --> 00:04:07.727
and

00:04:07.792 --> 00:04:08.767
recommendations

00:04:08.991 --> 00:04:09.887
Data

00:04:09.951 --> 00:04:10.527
gathering

00:04:10.580 --> 00:04:10.686
in

00:04:10.726 --> 00:04:10.846
the

00:04:10.946 --> 00:04:11.246
era

00:04:11.326 --> 00:04:11.486
of

00:04:11.710 --> 00:04:12.606
GDPR

00:04:12.846 --> 00:04:13.326
Of

00:04:13.383 --> 00:04:13.725
course

00:04:14.085 --> 00:04:14.205
for

00:04:14.261 --> 00:04:14.765
companies

00:04:14.791 --> 00:04:14.843
to

00:04:14.896 --> 00:04:15.002
be

00:04:15.050 --> 00:04:15.242
able

00:04:15.295 --> 00:04:15.401
to

00:04:15.461 --> 00:04:16.121
incorporate

00:04:16.188 --> 00:04:16.992
personalised

00:04:17.065 --> 00:04:17.868
experiences

00:04:17.932 --> 00:04:18.188
into

00:04:18.214 --> 00:04:18.344
their

00:04:18.397 --> 00:04:18.821
business

00:04:19.413 --> 00:04:19.541
they

00:04:19.589 --> 00:04:19.781
need

00:04:19.834 --> 00:04:19.940
to

00:04:19.972 --> 00:04:20.100
have

00:04:20.202 --> 00:04:20.814
access

00:04:20.867 --> 00:04:20.973
to

00:04:20.999 --> 00:04:21.129
their

00:04:21.185 --> 00:04:21.769
customers’

00:04:21.822 --> 00:04:22.246
personal

00:04:22.326 --> 00:04:22.646
data

00:04:22.886 --> 00:04:23.366
But

00:04:23.419 --> 00:04:23.525
in

00:04:23.565 --> 00:04:23.605
a

00:04:23.669 --> 00:04:23.925
time

00:04:23.978 --> 00:04:24.084
of

00:04:24.180 --> 00:04:24.564
laws

00:04:24.644 --> 00:04:24.964
such

00:04:24.990 --> 00:04:25.042
as

00:04:25.082 --> 00:04:25.202
the

00:04:25.415 --> 00:04:25.921
EU’s

00:04:26.177 --> 00:04:27.201
GDPR

00:04:27.461 --> 00:04:28.001
how

00:04:28.049 --> 00:04:28.241
much

00:04:28.261 --> 00:04:28.321
are

00:04:28.377 --> 00:04:28.881
consumers

00:04:28.931 --> 00:04:29.281
willing

00:04:29.307 --> 00:04:29.359
to

00:04:29.425 --> 00:04:29.755
share

00:04:29.819 --> 00:04:30.075
such

00:04:30.128 --> 00:04:30.711
information

00:04:31.191 --> 00:04:33.031
SmarterHQ

00:04:33.084 --> 00:04:33.349
found

00:04:33.381 --> 00:04:33.509
that

00:04:33.553 --> 00:04:33.905
although

00:04:33.977 --> 00:04:34.625
consumers

00:04:34.673 --> 00:04:34.865
feel

00:04:34.913 --> 00:04:35.105
like

00:04:35.153 --> 00:04:35.585
companies

00:04:35.633 --> 00:04:35.825
have

00:04:35.865 --> 00:04:35.985
too

00:04:36.033 --> 00:04:36.225
much

00:04:36.271 --> 00:04:36.777
information

00:04:36.830 --> 00:04:37.095
about

00:04:37.127 --> 00:04:37.255
them

00:04:37.975 --> 00:04:38.375
90

00:04:38.815 --> 00:04:38.935
are

00:04:39.001 --> 00:04:39.331
still

00:04:39.371 --> 00:04:39.651
willing

00:04:39.677 --> 00:04:39.729
to

00:04:39.782 --> 00:04:40.047
share

00:04:40.100 --> 00:04:40.683
behavioural

00:04:40.763 --> 00:04:41.083
data

00:04:41.269 --> 00:04:41.641
in

00:04:41.698 --> 00:04:42.040
return

00:04:42.080 --> 00:04:42.200
for

00:04:42.240 --> 00:04:42.280
a

00:04:42.325 --> 00:04:42.595
better

00:04:42.653 --> 00:04:43.233
experience

00:04:43.265 --> 00:04:43.393
with

00:04:43.413 --> 00:04:43.473
the

00:04:43.533 --> 00:04:43.953
company

00:04:44.333 --> 00:04:44.993
The

00:04:45.025 --> 00:04:45.153
good

00:04:45.249 --> 00:04:45.633
news

00:04:45.713 --> 00:04:45.873
is

00:04:45.905 --> 00:04:46.033
that

00:04:46.081 --> 00:04:46.513
companies

00:04:46.553 --> 00:04:46.673
are

00:04:46.717 --> 00:04:47.069
starting

00:04:47.095 --> 00:04:47.147
to

00:04:47.204 --> 00:04:47.546
really

00:04:47.611 --> 00:04:48.261
understand

00:04:48.281 --> 00:04:48.341
the

00:04:48.413 --> 00:04:49.133
importance

00:04:49.186 --> 00:04:49.292
of

00:04:49.354 --> 00:04:50.410
personalisation

00:04:50.930 --> 00:04:51.370
A

00:04:51.427 --> 00:04:51.769
survey

00:04:51.817 --> 00:04:52.249
conducted

00:04:52.302 --> 00:04:52.408
by

00:04:52.488 --> 00:04:53.208
Evergage

00:04:53.341 --> 00:04:54.006
shows

00:04:54.022 --> 00:04:54.086
that

00:04:54.143 --> 00:04:54.485
nearly

00:04:54.585 --> 00:04:54.885
all

00:04:54.941 --> 00:04:55.445
marketers

00:04:55.505 --> 00:04:55.925
believe

00:04:55.957 --> 00:04:56.085
that

00:04:56.138 --> 00:04:57.122
personalisation

00:04:57.335 --> 00:04:57.761
is

00:04:57.861 --> 00:04:58.161
key

00:04:58.241 --> 00:04:58.401
to

00:04:58.465 --> 00:04:58.721
good

00:04:58.783 --> 00:04:59.279
customer

00:04:59.343 --> 00:04:59.919
relations

00:05:00.129 --> 00:05:01.039
However

00:05:01.503 --> 00:05:01.759
only

00:05:01.919 --> 00:05:02.319
12

00:05:02.799 --> 00:05:03.039
say

00:05:03.071 --> 00:05:03.199
that

00:05:03.231 --> 00:05:03.359
they

00:05:03.399 --> 00:05:03.519
are

00:05:03.599 --> 00:05:04.319
satisfied

00:05:04.505 --> 00:05:04.877
by

00:05:04.897 --> 00:05:04.957
the

00:05:05.010 --> 00:05:05.275
level

00:05:05.301 --> 00:05:05.353
of

00:05:05.415 --> 00:05:06.471
personalisation

00:05:06.551 --> 00:05:06.871
they

00:05:06.903 --> 00:05:07.031
have

00:05:07.079 --> 00:05:07.511
currently

00:05:07.577 --> 00:05:08.303
implemented

00:05:08.649 --> 00:05:09.181
At

00:05:09.201 --> 00:05:09.261
the

00:05:09.325 --> 00:05:09.581
same

00:05:09.661 --> 00:05:09.981
time

00:05:10.541 --> 00:05:11.181
55

00:05:11.554 --> 00:05:11.660
of

00:05:11.692 --> 00:05:11.820
them

00:05:11.860 --> 00:05:12.220
mentioned

00:05:12.332 --> 00:05:12.780
that

00:05:12.796 --> 00:05:12.860
they

00:05:12.940 --> 00:05:13.100
do

00:05:13.180 --> 00:05:13.420
not

00:05:13.452 --> 00:05:13.580
have

00:05:13.625 --> 00:05:13.895
enough

00:05:13.975 --> 00:05:14.295
data

00:05:14.375 --> 00:05:14.615
for

00:05:14.672 --> 00:05:15.014
proper

00:05:15.067 --> 00:05:16.051
personalisation

00:05:16.477 --> 00:05:17.009
It

00:05:17.049 --> 00:05:17.169
was

00:05:17.233 --> 00:05:17.489
also

00:05:17.555 --> 00:05:17.885
found

00:05:17.917 --> 00:05:18.045
that

00:05:18.151 --> 00:05:18.363
on

00:05:18.433 --> 00:05:18.923
average

00:05:19.376 --> 00:05:19.800
customer

00:05:19.880 --> 00:05:20.200
data

00:05:20.262 --> 00:05:20.758
relevant

00:05:20.784 --> 00:05:20.836
to

00:05:20.889 --> 00:05:21.873
personalisation

00:05:22.059 --> 00:05:22.431
is

00:05:22.495 --> 00:05:22.751
kept

00:05:22.831 --> 00:05:22.991
in

00:05:23.071 --> 00:05:23.391
four

00:05:23.431 --> 00:05:23.791
different

00:05:23.871 --> 00:05:24.431
systems

00:05:24.431 --> 00:05:24.751
Although

00:05:24.811 --> 00:05:24.991
all

00:05:25.055 --> 00:05:25.631
marketers

00:05:25.701 --> 00:05:26.191
believe

00:05:26.223 --> 00:05:26.351
that

00:05:26.413 --> 00:05:27.469
personalisation

00:05:27.575 --> 00:05:27.787
is

00:05:27.907 --> 00:05:28.267
key

00:05:28.320 --> 00:05:28.426
to

00:05:28.474 --> 00:05:28.666
good

00:05:28.719 --> 00:05:29.143
customer

00:05:29.207 --> 00:05:29.783
relations

00:05:30.343 --> 00:05:30.583
only

00:05:30.743 --> 00:05:31.063
12

00:05:31.543 --> 00:05:31.783
say

00:05:31.815 --> 00:05:31.943
that

00:05:31.975 --> 00:05:32.103
they

00:05:32.143 --> 00:05:32.263
are

00:05:32.351 --> 00:05:33.143
satisfied

00:05:33.276 --> 00:05:33.542
by

00:05:33.562 --> 00:05:33.622
the

00:05:33.675 --> 00:05:33.940
level

00:05:33.966 --> 00:05:34.018
of

00:05:34.071 --> 00:05:35.132
personalisation

00:05:35.196 --> 00:05:35.452
they

00:05:35.484 --> 00:05:35.612
have

00:05:35.652 --> 00:05:36.012
currently

00:05:36.085 --> 00:05:36.888
implemented

00:05:37.068 --> 00:05:37.608
The

00:05:37.720 --> 00:05:38.168
path

00:05:38.274 --> 00:05:38.486
to

00:05:38.548 --> 00:05:39.842
personalisation

00:05:40.002 --> 00:05:40.482
But

00:05:40.562 --> 00:05:40.802
how

00:05:40.828 --> 00:05:40.958
would

00:05:40.998 --> 00:05:41.038
a

00:05:41.098 --> 00:05:41.518
company

00:05:41.578 --> 00:05:41.758
who

00:05:41.798 --> 00:05:41.918
has

00:05:41.998 --> 00:05:42.398
never

00:05:42.446 --> 00:05:42.638
done

00:05:42.700 --> 00:05:43.833
personalisation

00:05:44.019 --> 00:05:44.391
go

00:05:44.457 --> 00:05:44.787
about

00:05:44.837 --> 00:05:45.187
setting

00:05:45.213 --> 00:05:45.265
it

00:05:45.371 --> 00:05:45.583
up

00:05:46.063 --> 00:05:46.863
In

00:05:46.903 --> 00:05:47.023
the

00:05:47.087 --> 00:05:47.343
case

00:05:47.369 --> 00:05:47.421
of

00:05:47.481 --> 00:05:47.661
our

00:05:47.751 --> 00:05:48.381
clients

00:05:48.981 --> 00:05:49.101
for

00:05:49.149 --> 00:05:49.341
them

00:05:49.367 --> 00:05:49.419
to

00:05:49.472 --> 00:05:49.578
be

00:05:49.626 --> 00:05:49.818
able

00:05:49.844 --> 00:05:49.896
to

00:05:49.952 --> 00:05:50.456
implement

00:05:50.496 --> 00:05:50.536
a

00:05:50.586 --> 00:05:50.936
service

00:05:51.000 --> 00:05:51.256
like

00:05:51.347 --> 00:05:51.893
Amazon

00:05:51.955 --> 00:05:52.850
Personalize

00:05:53.170 --> 00:05:53.650
the

00:05:53.690 --> 00:05:53.890
first

00:05:53.930 --> 00:05:54.130
thing

00:05:54.162 --> 00:05:54.290
they

00:05:54.316 --> 00:05:54.446
would

00:05:54.494 --> 00:05:54.686
need

00:05:54.712 --> 00:05:54.764
to

00:05:54.870 --> 00:05:55.082
do

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is

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ensure

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that

00:05:56.308 --> 00:05:56.436
they

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have

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the

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data

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required

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for

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personalisation

00:05:59.696 --> 00:05:59.952
such

00:06:00.005 --> 00:06:00.111
as

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clicks

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signups

00:06:02.191 --> 00:06:02.511
page

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views

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etc

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Generally

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online

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stores

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or

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websites

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that

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implement

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some

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form

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of

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self

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service

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will

00:06:09.854 --> 00:06:10.344
already

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have

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this

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type

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of

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data

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gathered

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in

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one

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place

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However

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if

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a

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client

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has

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the

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data

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but

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it

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is

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not

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easily

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accessible

00:06:18.661 --> 00:06:18.721
for

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example

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if

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the

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data

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is

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spread

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out

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across

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old

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and

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new

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systems

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or

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as

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was

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the

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case

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in

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Evergage’s

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survey

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the

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data

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is

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kept

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in

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multiple

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systems

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then

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the

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first

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step

00:06:30.254 --> 00:06:30.384
would

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be

00:06:30.502 --> 00:06:30.622
the

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creation

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of

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a

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data

00:06:31.932 --> 00:06:32.380
lake

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along

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with

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data

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processing

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solutions

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to

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help

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aggregate

00:06:36.070 --> 00:06:36.130
the

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data

00:06:36.630 --> 00:06:36.930
and

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process

00:06:37.623 --> 00:06:37.729
it

00:06:37.782 --> 00:06:37.888
in

00:06:37.928 --> 00:06:37.968
a

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suitable

00:06:38.565 --> 00:06:38.925
way

00:06:39.309 --> 00:06:40.205
Once

00:06:40.253 --> 00:06:40.445
this

00:06:40.509 --> 00:06:40.765
data

00:06:40.818 --> 00:06:40.924
is

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available

00:06:41.524 --> 00:06:41.644
for

00:06:41.764 --> 00:06:42.124
use

00:06:42.630 --> 00:06:42.682
it

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will

00:06:42.895 --> 00:06:43.001
be

00:06:43.072 --> 00:06:43.640
combined

00:06:43.688 --> 00:06:43.880
with

00:06:43.924 --> 00:06:44.276
whatever

00:06:44.296 --> 00:06:44.356
the

00:06:44.413 --> 00:06:44.755
client

00:06:44.823 --> 00:06:45.231
wishes

00:06:45.257 --> 00:06:45.309
to

00:06:45.373 --> 00:06:45.949
recommend

00:06:46.002 --> 00:06:46.108
to

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their

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customers

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e

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g

00:06:48.681 --> 00:06:49.137
products

00:06:49.548 --> 00:06:50.094
videos

00:06:50.476 --> 00:06:50.972
articles

00:06:51.072 --> 00:06:51.372
and

00:06:51.452 --> 00:06:51.612
so

00:06:51.678 --> 00:06:52.008
forth

00:06:52.461 --> 00:06:53.047
If

00:06:53.067 --> 00:06:53.127
the

00:06:53.184 --> 00:06:53.526
client

00:06:53.583 --> 00:06:53.925
wishes

00:06:54.005 --> 00:06:54.165
to

00:06:54.581 --> 00:06:54.645
they

00:06:54.685 --> 00:06:54.805
can

00:06:54.869 --> 00:06:55.125
also

00:06:55.215 --> 00:06:55.845
specify

00:06:55.915 --> 00:06:56.405
further

00:06:56.471 --> 00:06:57.197
demographic

00:06:57.257 --> 00:06:57.917
information

00:06:58.010 --> 00:06:58.475
about

00:06:58.515 --> 00:06:58.715
their

00:06:58.821 --> 00:06:59.351
users

00:06:59.479 --> 00:06:59.991
that

00:07:00.039 --> 00:07:00.231
they

00:07:00.295 --> 00:07:00.551
wish

00:07:00.604 --> 00:07:00.710
to

00:07:00.770 --> 00:07:01.430
incorporate

00:07:01.510 --> 00:07:01.830
into

00:07:01.870 --> 00:07:02.070
their

00:07:02.123 --> 00:07:03.107
personalisation

00:07:03.461 --> 00:07:04.625
Amazon

00:07:04.687 --> 00:07:05.501
Personalize

00:07:05.621 --> 00:07:05.981
can

00:07:06.013 --> 00:07:06.141
then

00:07:06.221 --> 00:07:06.781
process

00:07:06.881 --> 00:07:07.181
all

00:07:07.229 --> 00:07:07.421
this

00:07:07.492 --> 00:07:08.060
combined

00:07:08.172 --> 00:07:08.620
data

00:07:08.753 --> 00:07:09.019
to

00:07:09.099 --> 00:07:09.739
identify

00:07:09.779 --> 00:07:09.899
the

00:07:09.949 --> 00:07:10.449
meaningful

00:07:10.521 --> 00:07:11.241
components

00:07:11.294 --> 00:07:11.400
in

00:07:11.506 --> 00:07:11.718
it

00:07:11.818 --> 00:07:12.118
and

00:07:12.184 --> 00:07:12.514
apply

00:07:12.576 --> 00:07:13.072
suitable

00:07:13.144 --> 00:07:13.864
algorithms

00:07:13.944 --> 00:07:14.104
to

00:07:14.157 --> 00:07:14.263
it

00:07:14.879 --> 00:07:15.383
resulting

00:07:15.436 --> 00:07:15.542
in

00:07:15.582 --> 00:07:15.622
a

00:07:15.675 --> 00:07:16.575
personalisation

00:07:16.641 --> 00:07:16.971
model

00:07:17.051 --> 00:07:17.371
that

00:07:17.424 --> 00:07:17.530
is

00:07:17.598 --> 00:07:18.326
customised

00:07:18.399 --> 00:07:19.275
specifically

00:07:19.375 --> 00:07:19.675
for

00:07:19.715 --> 00:07:19.835
our

00:07:19.903 --> 00:07:20.391
client’s

00:07:20.471 --> 00:07:20.791
data

00:07:21.415 --> 00:07:21.831
This

00:07:21.897 --> 00:07:22.227
model

00:07:22.259 --> 00:07:22.387
will

00:07:22.435 --> 00:07:22.627
then

00:07:22.675 --> 00:07:22.867
help

00:07:22.907 --> 00:07:23.027
our

00:07:23.084 --> 00:07:23.426
client

00:07:23.492 --> 00:07:23.822
reach

00:07:23.862 --> 00:07:23.982
the

00:07:24.042 --> 00:07:24.462
coveted

00:07:24.526 --> 00:07:24.782
next

00:07:24.848 --> 00:07:25.178
level

00:07:25.231 --> 00:07:25.337
of

00:07:25.390 --> 00:07:26.374
personalisation

00:07:26.470 --> 00:07:26.854
that

00:07:26.910 --> 00:07:27.414
consumers

00:07:27.494 --> 00:07:28.214
worldwide

00:07:28.254 --> 00:07:28.374
are

00:07:28.414 --> 00:07:28.694
looking

00:07:28.794 --> 00:07:29.094
for

00:07:29.190 --> 00:07:29.574
when

00:07:29.627 --> 00:07:30.210
interacting

00:07:30.242 --> 00:07:30.370
with

00:07:30.438 --> 00:07:30.846
brands

00:07:30.971 --> 00:07:31.721
online

00:07:32.041 --> 00:07:33.001
Amazon

00:07:33.063 --> 00:07:33.799
Personalize

00:07:33.879 --> 00:07:34.599
processes

00:07:34.679 --> 00:07:34.999
data

00:07:35.052 --> 00:07:35.158
to

00:07:35.220 --> 00:07:35.716
identify

00:07:35.776 --> 00:07:35.956
the

00:07:36.006 --> 00:07:36.506
meaningful

00:07:36.564 --> 00:07:37.144
components

00:07:37.197 --> 00:07:37.303
in

00:07:37.409 --> 00:07:37.621
it

00:07:37.721 --> 00:07:38.021
and

00:07:38.074 --> 00:07:38.339
apply

00:07:38.401 --> 00:07:38.897
suitable

00:07:38.977 --> 00:07:39.777
algorithms

00:07:39.830 --> 00:07:39.936
to

00:07:39.989 --> 00:07:40.095
it

00:07:40.703 --> 00:07:41.135
resulting

00:07:41.161 --> 00:07:41.213
in

00:07:41.253 --> 00:07:41.293
a

00:07:41.346 --> 00:07:42.246
personalisation

00:07:42.299 --> 00:07:42.564
model

00:07:42.676 --> 00:07:43.124
that

00:07:43.150 --> 00:07:43.202
is

00:07:43.282 --> 00:07:44.082
customised

00:07:44.162 --> 00:07:45.122
specifically

00:07:45.222 --> 00:07:45.522
for

00:07:45.562 --> 00:07:45.682
our

00:07:45.739 --> 00:07:46.241
client’s

00:07:46.305 --> 00:07:46.561
data

00:07:47.041 --> 00:07:47.841
In

00:07:47.921 --> 00:07:48.321
cases

00:07:48.347 --> 00:07:48.477
where

00:07:48.517 --> 00:07:48.557
a

00:07:48.614 --> 00:07:48.956
client

00:07:48.988 --> 00:07:49.116
does

00:07:49.176 --> 00:07:49.356
not

00:07:49.404 --> 00:07:49.596
have

00:07:49.636 --> 00:07:49.756
the

00:07:49.820 --> 00:07:50.076
data

00:07:50.147 --> 00:07:50.715
required

00:07:50.755 --> 00:07:50.875
for

00:07:50.928 --> 00:07:51.828
personalisation

00:07:51.908 --> 00:07:52.068
at

00:07:52.168 --> 00:07:52.468
all

00:07:52.894 --> 00:07:53.426
we

00:07:53.506 --> 00:07:53.666
at

00:07:53.806 --> 00:07:54.226
ADM

00:07:54.292 --> 00:07:54.622
Group

00:07:54.734 --> 00:07:55.182
have

00:07:55.230 --> 00:07:55.662
different

00:07:55.728 --> 00:07:56.058
units

00:07:56.122 --> 00:07:56.698
dedicated

00:07:56.724 --> 00:07:56.776
to

00:07:56.826 --> 00:07:57.176
helping

00:07:57.216 --> 00:07:57.336
our

00:07:57.406 --> 00:07:57.896
clients

00:07:57.944 --> 00:07:58.376
determine

00:07:58.436 --> 00:07:58.616
the

00:07:58.680 --> 00:07:58.936
best

00:07:58.996 --> 00:07:59.176
way

00:07:59.229 --> 00:07:59.335
to

00:07:59.401 --> 00:07:59.731
start

00:07:59.787 --> 00:08:00.291
gathering

00:08:00.331 --> 00:08:00.451
the

00:08:00.507 --> 00:08:01.011
necessary

00:08:01.091 --> 00:08:01.411
data

00:08:01.831 --> 00:08:02.611
The

00:08:02.661 --> 00:08:03.011
purpose

00:08:03.064 --> 00:08:03.170
of

00:08:03.234 --> 00:08:03.490
this

00:08:03.676 --> 00:08:04.048
is

00:08:04.101 --> 00:08:04.207
to

00:08:04.255 --> 00:08:04.447
help

00:08:04.479 --> 00:08:04.607
make

00:08:04.647 --> 00:08:04.767
the

00:08:04.837 --> 00:08:05.327
process

00:08:05.353 --> 00:08:05.405
of

00:08:05.454 --> 00:08:06.042
implementing

00:08:06.104 --> 00:08:07.076
personalisation

00:08:07.167 --> 00:08:07.713
easier

00:08:07.773 --> 00:08:07.953
for

00:08:08.013 --> 00:08:08.193
our

00:08:08.263 --> 00:08:08.753
clients

00:08:08.953 --> 00:08:09.553
and

00:08:09.617 --> 00:08:09.873
once

00:08:09.905 --> 00:08:10.033
that

00:08:10.073 --> 00:08:10.193
has

00:08:10.225 --> 00:08:10.353
been

00:08:10.433 --> 00:08:10.673
set

00:08:10.779 --> 00:08:10.991
up

00:08:11.471 --> 00:08:11.711
to

00:08:11.759 --> 00:08:11.951
help

00:08:11.983 --> 00:08:12.111
them

00:08:12.175 --> 00:08:12.431
grow

00:08:12.471 --> 00:08:12.671
their

00:08:12.741 --> 00:08:13.231
revenue

00:08:13.377 --> 00:08:14.107
which

00:08:14.320 --> 00:08:14.426
as

00:08:14.490 --> 00:08:14.746
seen

00:08:14.778 --> 00:08:14.906
from

00:08:14.946 --> 00:08:15.066
the

00:08:15.132 --> 00:08:15.462
above

00:08:15.542 --> 00:08:15.857
mentioned

00:08:15.919 --> 00:08:16.415
research

00:08:16.715 --> 00:08:17.135
can

00:08:17.199 --> 00:08:17.455
grow

00:08:17.535 --> 00:08:18.255
immensely

00:08:18.303 --> 00:08:18.495
from

00:08:18.575 --> 00:08:18.895
this

00:08:19.105 --> 00:08:20.405
Originally

00:08:20.461 --> 00:08:20.965
published

00:08:21.045 --> 00:08:21.205
at

00:08:21.485 --> 00:08:22.885
https

00:08:24.805 --> 00:08:26.164
www

00:08:26.510 --> 00:08:28.082
admcloudtech

00:08:28.282 --> 00:08:28.882
com

00:08:29.122 --> 00:08:29.602
on

00:08:29.682 --> 00:08:30.002
June

00:08:30.082 --> 00:08:30.802
17

00:08:31.282 --> 00:08:32.240
2019