shopper typologies and segmentations 2014

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Shopper Typologies and Segmentations 2014 Evolution Insights Ltd Prospect House 32 Sovereign Street Leeds LS1 4BJ Tel: 0113 389 1038 http://www.evolution-insights.com Evolution Insights: Shopper Insight Series

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This research takes all of our data from our 2013 reports, examining shopper attitudes, behaviours and motivations across areas such as planning vs. impulse purchase, online shopping, the usage of shopper apps and more. Segmenting our shoppers by: • Age – young (18-34), middle aged (35-54) and older (55-65+) • Gender • Social Class • Gender and Social Class • Children Living at Home (under 16) – young families (18-34), older families (35-54) and empty nesters (shoppers aged 45+ with no children living at home) • Region Using these demographics we can look at how different the different groups behave comparing and contrasting the different attitudes amongst the key drivers listed. By using more detailed shopper demographics to examine our extensive catalogue of 2013 research we are able to present a thorough analysis of shopper behaviour for a more comprehensive range of shopper typologies than those presented in the individual reports.

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Page 1: Shopper Typologies and Segmentations 2014

Shopper Typologies and Segmentations 2014

Evolution Insights LtdProspect House

32 Sovereign StreetLeeds

LS1 4BJTel: 0113 389 1038

http://www.evolution-insights.com

Evolution Insights: Shopper Insight Series

Page 2: Shopper Typologies and Segmentations 2014

About Evolution Insights

Evolution offer a range of products & services for clients in the field of shopper research:

Off-the-shelf research

Evolution’s off the shelf research publications deliver affordable insight into shopper motivation and behaviours in UK food, drink and grocery

Insight Plus

Insight Plus offers your business the opportunity to engage in any of our regular shopper research projects in advance of publication, tailoring the scope to suit your needs

Bespoke Consulting

As publishers of research, we are able to draw upon a wealth of existing proprietary data for consulting projects – helping to better inform and shape any further research requirements

Our research and analysis helps clients develop targeted shopper marketing initiatives designed to influence shoppers at the point of purchase.

We use a range of research methodologies to discover genuine insights. Our research incorporates a broad spectrum of robust qualitative and quantitative research techniques.

As a leading publisher of shopper research, we are ideally placed to offer your business actionable shopper insight.

Evolution is a leading research consultancy specialising in shopper motivation and behaviour. We deliver off-the-shelf, tailored and bespoke research for manufacturers, retailers and agencies.

Sign up for Shopper Trend Report, our free monthly newsletter offering analysis and commentary on topical shopper issues.

Page 3: Shopper Typologies and Segmentations 2014

www.evolution-insights.com

Contents

Introduction

Definitions Gender Social Class Shopper Life Stages Families Older Shoppers Key Summary – Introduction

Overall Summary

Health

Introduction Shopper Profiles Geographic Spread Summary

Smartphone Ownership

Introduction Shopper Profiles Summary

Mobile Shopping

IntroductionShopper ProfilesGeographic SpreadSummary

Showrooming

IntroductionShopper ProfilesGeographic SpreadSummary

Grocery Apps

IntroductionShopper ProfilesGeographic SpreadSummary

Adult Lunchboxes

IntroductionShopper ProfilesSummary

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Page 4: Shopper Typologies and Segmentations 2014

www.evolution-insights.com

Contents

On-The-Go

IntroductionShopper ProfilesSummary

Contactless Payment

IntroductionShopper ProfilesGeographic SpreadSummary

The Importance of Brand

IntroductionShopper ProfilesGeographic SpreadSummary

Planning Shopping Trips

IntroductionShopper ProfilesGeographic SpreadSummary

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Retailer Choice

Shopper Share Vs. Market Share

In Store Retailer Choice

IntroductionGenderSocial ClassLife Stage

Online Retailer Choice

IntroductionGenderSocial ClassLife Stage

Spend

IntroductionConcern About Spend – DefinitionGenderAge GroupLife Stage

Methodology

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Page 5: Shopper Typologies and Segmentations 2014

By examining our collection of previous research we were able to identify 6 significant segmentations within the UK population. These typologies were created using four basic demographics; age, gender, Location, social class and whether the shopper has children living at home or not. Although these demographics are important on their own, interactions between them create further segmentations. As such young and childless, empty nesters, silver shoppers and also families by age.

These demographics cause individuals to have particular outlooks and perspectives on the world. They also act as a certain influence or predictor of shopper behaviours and attitudes.

From our previous reports we are able to identify and examine 6 main shopper demographics. These shopper profiles go some way to predict shopper beliefs and behaviours when shopping for food and groceries.

Introduction

Main Shopper Demographics

Gender

Age

Social Class

Life Stage: Families –Parents 18-34, Parents 35-54

Life Stage – 18-34s No Children, Empty Nesters and Silver Shoppers

Location

Page 6: Shopper Typologies and Segmentations 2014

Age

Gender

Social ClassLocation

Life Stage

Introduction – Definitions

Shoppers can be defined by their demographics. The very basic demographics included in all of our reports are categories such as age, gender, social class and life stage. These personal factors have an influence upon shopping behaviour and attitudes of the individual shopper.

Page 7: Shopper Typologies and Segmentations 2014

Definitions

• Male• Female

Gender

• 18-24• 25-34• 35-44• 45-54• 55-64• 65+

Age • AB• C1• C2• DE

Social Class

There are many preconceptions about how men and women shop differently and this report aims to explore these further.

Understandably, the age of a shopper has a significant impact on their behaviour and attitudes.

Social class in this case refers to the main wage earner in the house.

Page 8: Shopper Typologies and Segmentations 2014

Definitions

• Parents aged 18-34• Parents aged 35-54

Life Stage: Families

• 18-34 year olds with no children living at

home• Empty Nesters • Silver Shoppers

Life Stage

Families are split by the age of the parents in order to identify any differences in attitudes and behaviours between young (18-34) and older families (35-54). Families are determined by having one or more child under 16 living at home.

Empty Nesters are shoppers aged between 35 and 54 with no children under the age of 16 living at home. Silver shoppers are shoppers aged 55+ (the UK’s fastest growing demographic)

Page 9: Shopper Typologies and Segmentations 2014

Gender

48.1%

51.9%

• The population is almost equally split between male and females. 48.1% of the population are men and the remaining 51.9% are women. As such, both genders are just as important when it comes to studying shopper behaviour, although almost three quarters of primary food and grocery shoppers are women.

• To ensure the data we examine is representative of the UK population we use a sample size reflecting the overall gender size (as above).

Male

Female

Page 10: Shopper Typologies and Segmentations 2014

Social Class

AB C1 C2 DE

23.4%

30.7%

19.6%

26.3%

The SEG in this case refer to the main wage earner in the house, depending on the occupation of this shopper they are divided into one of the above groups. ABs are the most affluent of the four groups, this group has the most spending power, and DEs have the least spending power.

SEG alone does not determine shopper behaviour, as the consumption of food is stable with a finite amount of food and groceries needed to be purchased by shoppers; this limits spend.

Page 11: Shopper Typologies and Segmentations 2014

Shopper Life Stages

18-34 No Children Living at home

Family LifeThe empty nest,35-54s with no

children at home

Silver Shoppers, 55+

Shoppers have been split by life stage for the purpose of this research.

Page 12: Shopper Typologies and Segmentations 2014

Families

15.6%

21.8%

37.4% of the population has a child dependent on them, in this case the child (under 16) is living with the parents.

For the purposes of this research we have split families by the ages of the parents. This is in order to determine whether younger families (18-34) have different shopping habits to their older counterparts (35-54). Older shoppers are more likely to have one or more children living at home.

Young 18-34

Older 35-54

Page 13: Shopper Typologies and Segmentations 2014

Older Shoppers

35.5%

28.2%Empty Nesters

35-54

Silver Shoppers 55+

Increasing longevity means that, for the rest of this century, the fastest-growing consumer group will be over the age of 60. 35.5% of the population are empty nesters. These shoppers are over 35 and don’t have any children at home.

Page 14: Shopper Typologies and Segmentations 2014

Shopper Typologies – Key

Health The Importance of

Brand

Showrooming Smartphone Ownership

Online Grocery Apps

Mobile Shopping

Spend

On-The-Go Contactless PaymentCard & NFC (mobile)

Planning and Lists

Lunchbox In Store Retailer Choice

Online Retailer Choice

The following icons will be used throughout this research as a means of understanding which Evolutions Insights’ report (from 2013) the data has been

collated from, also to clarify the topic being discussed.

Page 15: Shopper Typologies and Segmentations 2014

Health – Shopper Profiles

HealthProfile of Shoppers who say they are eating healthily*.

Gender Age Social Class

Families

Life Stage

%

As of January 2014*

Page 16: Shopper Typologies and Segmentations 2014

In Store Retailer Choice by Gender

In Store Retailer Choice by GenderThe retailer logos below show the In Store retailer (Primary store) choice of each demographic and how they compare to the overall shopper share (below left).

Overall Shopper Share

Page 17: Shopper Typologies and Segmentations 2014

Online Retailer Choice by Gender

Online Retailer Choice by GenderThe retailer logos below show the online retailer (primary store) choice of each gender and how they compare to the average (left).

Page 18: Shopper Typologies and Segmentations 2014

Spend – Concern by Gender

January

February

March April

May

JuneJuly

August

September

October

November

December

40

45

50

55

60

65

70

75 Male

Female

Female Average Spend In store £78. Average Spend Online £83.

Male Average Spend In store £75. Average Spend Online £84.

%

Concern by Gender

Page 19: Shopper Typologies and Segmentations 2014

Secondary and desk research

Preliminary quantitative survey

Main quantitative surveyFocus groups

Insights

• All this information is taken from our 2013 report catalogue.

• Evolution carries out a preliminary survey of around 100 shoppers, to test questions for the main survey.

• Detailed secondary and desk research is conducted to define the topic area, macro drivers and trends, scope and examples of within the research topic.

• Initial insights gained are used to help further design the main survey.

• A main survey is completed by at least 1,000 UK adults who are the primary household shopper for food & grocery.

• Focus groups are carried out to further enhance the secondary research and main quantitative survey.

• Comprehensive and detailed assessment of all the data received was then used to discover insights.

• Throughout this process, primary research was supported by secondary research drawing on Evolution’s proprietary databases, national statistics, news and industry resources.

Methodology

Source: Evolution Insights

Evolution’s methodology

Page 20: Shopper Typologies and Segmentations 2014

Contact us

Evolution Insights Ltd

Prospect House32 Sovereign Street

LeedsLS1 4BJ

Telephone: 0113 336 6035

e-mail: [email protected]

Web: http://www.evolution-insights.com

Company No. 07006001Country of Incorporation: United Kingdom