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Training Day – 31 st October, 2011 Segmentation 101: Segmentation in 20 Minutes Sue York - NewMR A Presenta*on from the Fes*val of NewMR Training Day – October 31, 2011

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Training  Day  –  31st  October,  2011  

Segmentation 101: Segmentation in 20 Minutes Sue York - NewMR  

A  Presenta*on  from  the  Fes*val  of  NewMR  Training  Day  –  October  31,  2011  

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Segmentation 101 Segmentation in 20 minutes

Sue York NewMR.org

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Today?

1.  Why 2.  What 3.  How 4.  Techniques 5.  Cluster analysis

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Why?

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Consumers vary in their needs & wants

One product can’t meet the needs of all consumers

BUT

One product can meet needs of a group (segment) of customers

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Market Segmentation . . . Breaking the market into groups of people who are similar (on some basis)

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Alternatives to Segmentation?

•  Enormous stock levels (Amazon)

•  Mass customisation (Expedia)

•  One size fits all – Niche (luxury, economy) – Mass (used to be more common, e.g. utilities)

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Bases for Segmentation

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Characteristics

•  Demographic e.g. Age •  Geographic e.g. Region •  Socioeconomic e.g. Income, occupation •  Psychographic e.g. Lifestyle

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Behavioural

•  Benefits sought •  Occasions used •  Usage or Purchase Frequency •  Loyalty •  Other attitudes

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Supplier perspective

•  Price •  Where buy •  Type of product •  Promotion

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Bases for Segmentation

Variables for Analysis

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Segmentation Variable

Use Categories or Distribution e.g. How often – Daily, weekly, monthly, less Usage – Heavy, Moderate, Light

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Segmenting Two Variables

•  Cross-tabulation •  Quadrant Chart •  Perceptual Map

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Time and Money Cash  Rich  

Cash  Poor  

Time  Rich  Time  Poor  

Re#red  with  good  pension  

Re#red  with  state  pension  

Unemployed  

SEG  A  

SEG  B  

SEG  C1  

SEG  C2  

Students  

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Many Segmentation Variables

•  Cluster analysis

•  Decision trees e.g. CHAID/CaRT

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Many Segmentation Variables

•  Cluster analysis – k-means Cluster Analysis – TwoStep Cluster Analysis – Fuzzy Clusters – Latent Class Cluster Analysis – Hierarchical Clustering

•  Decision trees e.g. CHAID/CaRT

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Cluster Analysis

Ronald  Aylmer  Fisher  1936  mul#variate  analysis  

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Cluster Analysis

Basis of much of segmentation – But not all of it

An interdependence technique – No dependent variable

Today cluster analysis often means – SPSS and K Means – But, consider Q Software

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Within and Between Differences

X  

Y  

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

The Reality

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

The Reality

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

The Reality

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

K Means Clustering

An iterative technique The most common choice in market research

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

What the User Decides

•  Which variables to cluster •  What treatment to apply to the variables* •  What to do with missing data •  Measures of linkage •  Numbers of iterations •  Exclude outliers * •  The number of clusters*

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Outliers

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Collinearity

Slow  

Quick  Fast  

Speedy  

Happy  

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

How Many Clusters?

•  The  researcher  determines  how  many  clusters  there  should  be.  

•  The  answer  ‘informed’  by  sta#s#cs  as  well  as  what  “looks”  correct  

•  How  big  is  the  sample?      – Max  clusters  =  N/75  

•  What  is  the  client  capable  of  working  with?  •  Common  approach  is  to  look  at  a  scree  plot  (percent  variance  explained,  within  group  standard  devia#on,  F  sta#s#c)*  

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Solutions are NOT stable

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Cluster Analysis is Qualitative

Quant → Discovering and measuring something that ‘exists’

Qual → Social actions are constructed by participants, including the researcher

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Qualitative Issues •  There are no real clusters

•  The number of clusters is arbitrary

•  The choice of attributes is arbitrary

•  Different software provide different solutions

•  Changing the parameters and scaling provide different solutions

Look  for  a  ‘useful’  solu#on,  not  the  ‘true’  solu#on  

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Effective Segmentation

•  Measurable •  Accessible •  Substantial •  Operational •  Actionable •  Similar within segment – Homogenous •  Different to other segments -

Heterogenous

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Want to learn more ?

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Thank you

Sue York NewMR.org

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Q & A

Pravin Shekar krea

Sue York NewMR

Sue York, NewMR, Australia Training Day - Festival of NewMR 2011 - Session 3 Schedule: 7:40-8:05 (GMT)

Sue York

Follow  Sue’s  tweets  at  @  h`p://twi`er.com/1sue3  Connect  with  Sue  on  LinkedIn  

Training  Day  –  31st  October,  2011  

Segmentation 101: Segmentation in 20 Minutes Sue York - NewMR  

A  Presenta*on  from  the  Fes*val  of  NewMR  Training  Day  –  October  31,  2011