Transcript Slide 1

Consumer Behaviour,
Second Edition
Martin Evans,
Ahmad Jamal
Gordon Foxall
Cardiff Business School
ISBN:978-0-470-99465-8
© 2009 John Wiley & Sons Ltd.
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Chapter 11
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Chapters Objectives
• Explore the trend towards knowledge generation of
consumer characteristics and lifestyle
• Analyse and evaluate the role and nature of
geodemographics and contemporary life style research
in understanding and profiling consumer behaviour
• Discuss the importance of privacy concerns in the
context of database marketing
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Declining Effectiveness
of Traditional Media
• Increasing media costs
• Diminishing/Fragmented
audiences
• Clutter
Need for Better
Targeting
Technology Drivers
•
•
•
•
•
rise of the database
Improvements in capacity
Analytical systems
Digital Printing
Developments in telephone
technology (mobiles/GPS)
• Internet
Growth in
Data Informed
Marketing
• Changes in market
behaviour: more complex
consumers
(Individualism/time
hungry/cash rich/cynical)
Changes in
Market Information
• Electronic point of sale & Transactional Data,
Geodemographics
• Compilation of Lists = Biographics
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Behavioural
Transactional Data: company
Transactional Data: consortia
Transactional Data: pre-purchase
data
Surveillance data: RFID, GPS, Biometrics
Neurolinguistics (NLP)
Data
Fusion
Profile/enhancement
Post Code, Census & Electoral Roll
(Contemporary) Lifestyle
Geodemographics
C2C data (eg Social Network data)
Lists
Data
Mining
data
Competitive Intelligence
Genetic Data
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Data Sources: Behavioural
Data
Transactional Data
Mail order Data Tracking
Loyalty Scheme Data Tracking
Online Data Tracking
Credit/Debit Card Data Tracking
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Transactional Data
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Transactional
Data: Data
Consortia
If you have a Nectar card, are you aware of all of the organisations in the
consortia?
They include BP, Barclaycard, Sainsbury’s, First Quench (Thresher, Victoria
Wine, Wine Rack, Bottoms Up, Drinks Cabin, Haddows, Huttons), Adams,
Ford, Vodafone, EDF Energy, London Energy, Seeboard Energy, SWEB
Energy, Hertz, Brewsters, TNS Market Research surveys, Blockbusters,
Cannons Health Clubs, Alton Towers, Argos, Winemark, AllSports, Magnet,
Beefeaters, eBookers, Carphone Warehouse, Racecourses and 160online
brands (Anon, 2007).
The ‘small print’ states that data will only be used within group & where
needed to operate the system. You may want a relationship with some but how
do you feel about ‘all’?
Transactis hosts a data consortia of mail order companies whose customer
transactional data is pooled to provide profiles of the ‘best ‘ mail order
consumers across sectors – even by RFM score (Anon 2004).
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Transactional Data:
Prepurchase
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Surveillance: RFID
• Radio Frequency Identification Tags: surveillance through
supply chain and maybe in use and through to disposal?
• Tesco, Marks & Spencer, Asda – deny using tags to trace
past purchase but need to be deactivates leaving store (or
microwaved)
• Used as implants/tags for German Club members and for
some Health Care in the USA and now in the UK
2006 trial – RFID tags in loyalty cards – allow retailers to
identify when a customer enters a store and can approach
them with offers or send offers to them via mobile phones
(Benjamin, 2006)
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Surveillance: GPS
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Neurolinguistics (NLP)
(remember…chapter 5)
Evans et al (2000) The Hidden
Sex Life of the Male and Female
Shot, International Journal of
Advertising 19.1 pp43-65
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• Profiling and enhancement data
• Postcode system
• Electoral roll
• Census
• Life style
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Geodemographics:
Postal Geography
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Census
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Census
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(Contemporary) Lifestyle
Contemporary Lifestyle Data: NOT anonymous
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CF10 3EU
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C2C Data
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Competitive
Intelligence
Consumer Panels..
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Fusion of Data Sources = buying
biography
Biographics
Individualised (custom) segmentation or mass customisation
is the legitimate polar opposite of undifferentiated or large
segments based on, eg just gender..
Biographic segmentation
Marketers are more able now to analyse customer behaviour
at an individual level and target as individuals
Is the segment of one possible?
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Behavioural
Transactional Data: company
Transactional Data: consortia
Transactional Data: pre-purchase
data
Surveillance data: RFID, GPS, Biometrics
Neurolinguistics (NLP)
Data
Fusion
Profile/enhancement
Post Code, Census & Electoral Roll
(Contemporary) Lifestyle
Geodemographics
C2C data (eg Social Network data)
Lists
Data
Mining
data
Competitive Intelligence
Genetic Data
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Biographics
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Marketing Metrics: Data Mining
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‘The digital computer… provide… the means to treat
individuals as individuals… protection of privacy
will be at large”
Shubik 1967
Or is it (cynically?)
“We cant rewind, we’ve gone too far…”
Horn 1979
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References
Evans M, Patterson M, O’Malley L (2001) The Direct Marketing-Direct
Consumer Gap: Qualitative Insights, Qualitative Market Research: An
International Journal, Vol 4 No 1 pp17-24
O’Malley L, Patterson M and Evans M, (1999) Data Fusion and Data Control:
Privacy Problems - and Solutions? Journal of Targeting, Measurement and
Analysis for Marketing Vol 7 No 1, pp288-302
Evans M, O’Malley L and Patterson M (1998) Relationship Marketing and
Privacy Issues: Building Bonds or Barriers Journal of Database Marketing, Vol
6 No 1, pp34-47
O’Malley L, Patterson M and Evans M (1997) Intimacy or Intrusion? The
Privacy Dilemma for Relationship Marketing in Consumer Markets, Journal of
Marketing Management, vol 3 no 6, pp541-559
Evans M (2005)The Data Informed Marketing Model and its Social
Responsibility, IN Lace S (Ed (2005) The Glass Consumer, Policy Press/NCC
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