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Hear Lutz speaking at Social CRM 2012 in Brussels, 26th September 2012 about The Challenges of Social Data Mapping & Management. http://www.oursocialtimes.com/socialcrmbrussels
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Analy&cal(CRM(
Start with the Question and Mind the Data….
More is not better…
By#@LutzFinger#
Lutz(Finger(─ #Quantum#Physicist#
─ #Journalist#─ #Incubator#for#new#Media#
─ #MBA#@#INSEAD#2004#
─ #Sales#Manager#@#Dell#
─ #CoIFounder#of#Fisheye#─ #Researcher#at#INSEAD##
#
#
#
(
All#displayed#Logos#are#trademark#protected#by#the#respecMve#companies.#
And 47 different Social Media Profiles
Not all up-to-date. Mind the Data
Two(People:((Who(are(they?(● Male#
● Born#in#1948#● BriMsh#NaMonality#● 2nd#Marriage#
● Rich#● Well#known#
Segmenta&on(is(missing(something(
Source:#Annet#Aris#3#
The#missing#informaMon#is#behavior#informaMon.#
Social(as(Indica&on(
Source:#www.newsoXheworld.co.uk#4#
10th#June#2011#–#2.6(million(readers(had#to#look#for#a#new#SUNDAY#paper#
All#displayed#Logos#are#trademark#protected#by#the#respecMve#companies.#
5#
To(find(poten&al(customers…(
Indicated#
desire#to#
switch#
1%#
Former#NOTW#
subscribers#
4%#
Daily#star#on#
Sunday#
15%#
Daily#Mail#
22%#
Sunday#Mirror#
26%#
Sun#On#
Sunday#
8%#
Sunday#Herald#
2%#
Sunday#Time#
7%#
The#Observer#
2%#
Sunday#Star#
2%#
Sunday#Sport#Standard##
2%#
Star#on#
Sunday#
9%#
General#/#Misc#
5%#
Sunday(papers(people(may(switch(to(Discussion(in(TwiIer:(Ready(to(Switch?(
95%#no#info#on#switching##
Source:#Fisheye#AnalyMcs#I#Note:#Twider#Data#only#Jul#2011#
Only#4%:#Choose#the#right#ones!
And(to(Reach(out(● But#even#if#you#got#the#
RELEVANT#data#
● How(to(reach(out?#
Reach#out#!#
outreach#can#be#creepy
Source:#Fisheye#AnalyMcs#
To(get(Social(Data(is(easy…(
Please#note#that#there#could#be#easily#privacy#concerns.##
# 7#
Use#Email#Find#
Profile ##Aggregate#
Ask#
Consumer#
Aggregate
##
Aggregate#
Via#Filter#
Social Media�Profiles�
Source:#Lutz#Finger#All#displayed#Logos#are#trademark#protected#by#the#respecMve#companies.#
To(organize(not.(
8#
Male# Female#
EU#Countries:#
##548#Segments#
Social#graph:#
##500#m#Segments#
#
Level#of#EducaMon:#
#8#Segments#
Products#bought:#
##24#Segments#
High#School#School# University#Second#
Degree#
Sex:##2#Segments#
Sunday#
Paper#
News#
Paper#
Journal#
Paper#
The Adventurer, Blue Collar, Emerging Adults, Health/ Fitness, Hispanics, Women With Children ...�
“There#are#7#billion#people#in#the#world#and#my#dream#is#to#have#7#
billion#individual#relaMonships”#by#Robert#McDonald##
Source:#Lutz#Finger#
Customer(Rela&onship(Management((● The#Customer#
should#be#in#the#
Center#
● It#starts#with#the#Customer#
● Be#open#/#be#transparent#
Center:(Customer(or(You?(
9#
Analy&cal(CRM((● Start#with#the#
quesMon#
● It#is#all#about#YOU#and#your#PRODUCT#
● Data#Mine#for#
your#needs#
Source:#Lutz#Finger#
For(Analy&c(CRM(N(Ques&on(is(key(
Source:#hdp://www.youtube.com/watch?v=aboZctrHfK8#
Source:#www.google.com#
Source:#Strata#2012#–#Xavier#Amatriain#
#
10#
Deep#Thought:#“it#
would#have#been#
simpler#of#course#
to#have#known#
what#the#actual#
quesMon#was.”#
“Data#without#sound#approach#is#just#NOISE.”#I#Xavier#
Amatriain,#Netlix
Source:#Lutz#Finger#
Great(Examples(
11#
Measurable#
Direct#QuesMon#
Structured#
&#unstructured#Data#
ConMnuous#Machine#
Learning#
● Tinyclues#opMmizes#EIshot#markeMng#
based#on#machine#learning#
● Orange#connect#Survey#Data#to#
Network#InformaMon#
● Wonga#uses#the#way#people#fill#out#an#
applicaMon#to#predict#Risk#
● Semasio#uses#content#of#pages#you#
have#been#on#to#improve#markeMng#
efficiency#
● Target#can#predict#who#of#their#
customers#is#pregnant#
● Walt#Disney#use#Social#Media#
Discussion#to#predict#privacy#
● Google#and#GFK#set#up#One#Source#
Panel#to#create#a#holisMc#View#on#a#
consumer#
All#displayed#Logos#are#trademark#protected#by#the#respecMve#companies.#
Source:#Lutz#Finger#
● TradiMonal#SegmentaMon#is#too#limited#for#todays#needs#
● Social#Media#Can#find#new#Clients#
● To#get#social#data#is#easy#● To#organize#them#is#the#hard#part#
● Start#with#the#QuesMon#● Use#Machine#Learning#to#find#a#structure#
Summary(
12#