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Shoppertunities
Kerry Chipp
May 2014
Note of thanks to sponsor
“there is extensive shopper behaviour
research conducted at the level of
individual malls, but limited
comparative data for the category.
Primedia Unlimited Mall Division seeks
to enable a better understanding of how
consumer intent translates into shopper
behaviour and retail sales”
Background
*SACS2013 Fact Sheet
*Average of audited foot counts across super regional and regional malls
With an estimated R407 billion* spent in shopping centres in 2013
Which accounts for 70% of all retail spend in 2013
And super regional and regional shopping centres attracting an average footcount of
800,000* consumers a month
Context
Understanding who these consumers are, how and what they buy and
what influences their purchases is paramount
Methodology
Fieldwork conducted by AC Nielsen, overseen by Dr Clive Corder and Kerry Chipp
7 Super regional and regional malls in Gauteng, KZN and Western Cape
Surveyed 4200 n = 600 per centre
Sampled two weeks at the end Nov 2013, every day across 4 intervals each day
Mall intercept questionnaire
randomly sampled across entrances, time of day and day of week
Two questionnaires
one on entry and other on exit
Who did we speak to?
Profiles
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Gauteng KZN Western Cape Pretoria
27% 28%
33%
12%
Total n = 10669
Please note data weighted
Un-weighted total 4200
Spread across the main centres
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
15 - 24 25 - 34 35 - 49 50+ Black White Indian Coloured Male Female Daily Weekly Monthly Less often
Age Race Gender Frequency of visit
27%
33%
26%
14%
63%
10%
12%
14%
36%
64%
15%
51%
30%
3%
Spread of ages, races and across week activity
More females than males
What did we ask?
On Entry
• Visit frequency; visit timing (day, week, month)
• Overlap with other malls in the region
• Travel time, mode and origin
• Planned visits
• Reason for coming to mall
On Exit (for a voucher)
• Types of stores visited
• Brands visited
• Purchase (planned and unplanned) and spend
• Reason for purchase
• Mall rating on list of criteria
• In mall advertising noticed
• Marketing activations noticed
• Shopper attitudinal statements
• Loyalty cards
• Cell phone questions (use, social media etc.)
• Standard demographics
The mall differentiators
The roles of Super-Regional vs. Regional malls are clearly differentiated by mall goers
Super-Regionals Regionals
 Centred around EXPERIENCE
 Rated positively in terms of
 Accessibility
 Comfort
 Discovery of new products
 Socialising
 Centred around FACILITATION
 Rated positively in terms of
 Purpose driven event
 Directed purchase
 Functional engagement
 Ease of navigation is a strong
influencer
Super-regionals are more likely
to be used for a wide variety of
activities by mall goers
Regionals are more likely to be
frequented regularly for
essential shopping and
activities
The unintentional shopper
On average, mall goers
visit 9 categories
per visit
3 of 9 category
visits are
unintended at the
outset
Mall goers buy a variety of items when shopping, a third outside of their original
intention
There are similarities between the top intended categories and top unintended
categories visited
Top Intended categories
visited
Top unintended categories
visited
 Food and household products  Clothing
 Department Stores  Restaurants and coffee bars
 Clothing  Food and household products
 Banking  Department stores
 Household groceries  Household groceries
8 in 10 mall goers purchase
during their visit
4 in 10 purchases are
unintended at the outset
Malls attract buyers, who buy things they didn’t even know they needed
This equates to R 13.5 billion a
month being generated by
unintended purchases
36% of spend was attributed to the
presence of in-mall advertising and
marketing activations
Marketing in the last mile contributes to the bottom line
In a mall with an average of
800,000 monthly visitors, 288,000
purport to be influenced by the
presence of in-mall advertising and
marketing activations
R 12.2 billion spend a month
being generated by response to
in-mall advertising and
activations
Shopper behaviours
The research identified 5 distinct shopper behaviours
Goal Directed Taking a Break
Leisure Shopper General Shop
Business
Purpose
Goal Directed
• Less frequent visitors
• Spend on average 1h27 a visit
• Value mall navigation tools
• Notice in-mall advertising and
marketing activations
• Although focused on what they
have come to buy, they do make
unintended purchases
This group generates around
R 48.3m in spend in an
average mall a month
Top 5 intended categories Top 5 unintended categories
 Food and Household  Clothing
 Clothing  Cellphone / electronics
 Department store  Department
 Accessory / Luggage  Restaurant / Coffee bar
 Cellphone / electronics  Food and household
Taking a Break
• Spend on average 1h27 a visit
• Get involved with the
demonstrations and engage in
marketing events
• Go primarily for food and
household goods, but often end up
buying other categories.
• Higher propensity to make
unplanned purchases
This group generates around
R41.6 m in spend in an
average mall a month
Top 5 intended categories Top 5 unintended categories
 Food and household  Clothing
 Clothing  Restaurants / coffee bars
 Department Stores  Household groceries
 Household groceries  Food and household
 Banking  Department stores
Leisure Shopper
• Spend on average 1h42 per visit
• Prime purpose is socialising and
entertainment
• Tend to travel distance to the mall for
the occasion
• Open to in-mall advertising and
demonstrations – like new
experiences
• Active on social media and utilise it
extensively This group
generates around
R 18.3m in spend in
an average mall a
month
Top 5 intended categories Top 5 unintended
categories
 Clothing  Clothing
 Food and household  Restaurants / coffee
bars
 Entertainment  Food and household
 Department stores  Department store
 Accessories / luggage  Accessories / luggage
General Shop
• Less frequent visitors but travel
from far
• Spend on average 1h31 per visit
• Higher propensity for visit intention
to be vague at the outset
• Aware and interested in in-mall
advertising and marketing
activations
This group generates around
R 9.7m in revenue in an
average mall a month
Top 5 intended categories Top 5 unintended
categories
 Food and household  Clothing
 Clothing  Restaurant / coffee
bar
 Department store  Food and household
 Banking  Department store
 Household groceries  Household groceries
The Business Purpose
• High frequency visits from local
catchment
• High propensity to engage in
unplanned purchases
• Significantly open to marketing
activities and in-mall advertising
• Engaged actively in online and
social media
This group generates around
R 3.9m in sales in an average
mall a month
Top 5 intended categories Top 5 unintended categories
 Food and household  Clothing
 Clothing  Food and household
 Department stores  Department stores
 Banking  Household groceries
 Household groceries  Restaurants / coffee bar
Actions and Attitudes
𝑠𝑡𝑜𝑟𝑒 𝑣𝑎𝑟𝑖𝑒𝑡𝑦 +
𝑒𝑥𝑡𝑒𝑛𝑑𝑒𝑑 𝑏𝑟𝑜𝑤𝑠𝑖𝑛𝑔
𝑡𝑖𝑚𝑒 𝑎𝑣𝑎𝑖𝑙𝑎𝑏𝑙𝑒
= log 𝑠𝑝𝑒𝑛𝑑
R 0
R 100 000
R 200 000
R 300 000
R 400 000
R 500 000
R 600 000
R 700 000
R 800 000
R 113 046
R 360 123
R 789 384
R 358 041
R 30 883
R 107 891
R 72 015
R 11 424
R 32 678
R 160 418
R 40 343
R 24 311
R 114 908
R 31 083
R 115 495
R 81 171
R 35 803
Purpose of visit
Shoppers come to shop, but shoppers with time on their hands are a lucrative market
Shoppers tend to say and do very different things
They say advertising gets
them there
They say they are cautious, but
also that they are willing to use
credit
They say they like to buy items
on special
They say advertising and special
promotions influence them
Few were brought in on the
strength of an offer
advertised outside the mall
High propensity to visit stores
not intended and purchase
items not planned for
They respond well to specials
which shows they are deal
prone
High propensity to only
remember things they need
once in the mall, which suggests
that triggers in the local
environment are effective
The importance of the last mile
In-mall advertising and marketing activations have a significant impact on consumer
purchases
 Advertising and mall activations accumulate
 Mall activations create unplanned browsing (statistically significant correlation r
= .256)
 Engaging in product demonstrations
 Receive store marketing messages
 Attend marketing events during visit
 Enter a promotion
In-mall advertising and marketing activations have a significant impact on consumer
purchases
 Advertising and mall activations accumulate and explains 36% spend in malls
 Mall activations factors into spend (statistically significant correlation β = .223)
 Mall advertising factors into spend (statistically significant correlation β = .248)
 When combined in concerted campaigns – an amalgam creates the impact – so
rather own a mall than spread efforts thinly across malls
R 12.2 billion spend a month
being generated by response to
in-mall advertising and
activations
In-mall advertising is recalled by those with unplanned visits and purchases to be
influential
Top 3 recalled in-mall advertising platforms
1. Escalator branding 2. Hanging banners 3. Lift door branding
The role of digital is significant in malls where the capabilities are higher
In malls with digital
capabilities, digital
directories and
video walls were
within the top 5
recalled advertising
channels
While smartphone penetration is high, the usage of devices for wifi in the malls isn’t
significantly high
62%
Smart Feature Basic
26%12%
71% currently don’t have wifi enabled on
their wifi enabled phones when coming to the
malls
Online shopping penetration is low currently but with access and mobility increasing
8%
of mall goers currently
report to
use
online shopping
Key Take Outs
With consumers being deal prone and value conscious, in mall promotions work well
to drive behaviour
With a high propensity to engage in the mall environment for relaxation and
socialising, mall demonstrations are attractive
In-mall marketing activities play a far larger role in unplanned purchases than
advertising
In-mall marketing activities correlates to unplanned visits of mall retailers
There is a direct correlation between amount of time spent in the mall and the
presence of in-mall advertising to drive unplanned purchases
Implications for stakeholders
Mall Owners
• Aware of mall position and role it serves in lives of shoppers
• Store and occasion mix important
• Positioning of smaller occasion shops near big retail increases foot-traffic for
large retail
• Clothing and department stores should remain as the anchor tenants
• Gauteng large malls are more of a social outing than coastal and smaller
malls, so can capitalise on many shopping occasions
• Encourage browsing opportunities where ever possible as they are a key part
of increased spend
Brand Owners
• Advertising needs to be coordinated between large scale above the line brand
building and below the line sealing of the deal
• Differentiate between volume drivers below the line and brand symbolism
above
• Opportunity to energise brand through experiential occasions when shoppers
are at leisure
Retailers
• Be cognisant of positioning of refreshment occasions within large retail
• Business meetings and other activity generates a great deal of opportunistic
spend for the mall
• Browsing is the second biggest event associated with spend – underscoring
the need for footfall
• Build on segments of shoppers and their needs
Thank you!
Kerry Chipp
chippk@gibs.co.za

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Gibs shoppertunties

  • 2. Note of thanks to sponsor “there is extensive shopper behaviour research conducted at the level of individual malls, but limited comparative data for the category. Primedia Unlimited Mall Division seeks to enable a better understanding of how consumer intent translates into shopper behaviour and retail sales”
  • 4.
  • 5. *SACS2013 Fact Sheet *Average of audited foot counts across super regional and regional malls With an estimated R407 billion* spent in shopping centres in 2013 Which accounts for 70% of all retail spend in 2013 And super regional and regional shopping centres attracting an average footcount of 800,000* consumers a month Context Understanding who these consumers are, how and what they buy and what influences their purchases is paramount
  • 6. Methodology Fieldwork conducted by AC Nielsen, overseen by Dr Clive Corder and Kerry Chipp 7 Super regional and regional malls in Gauteng, KZN and Western Cape Surveyed 4200 n = 600 per centre Sampled two weeks at the end Nov 2013, every day across 4 intervals each day Mall intercept questionnaire randomly sampled across entrances, time of day and day of week Two questionnaires one on entry and other on exit
  • 7. Who did we speak to? Profiles
  • 8. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Gauteng KZN Western Cape Pretoria 27% 28% 33% 12% Total n = 10669 Please note data weighted Un-weighted total 4200 Spread across the main centres
  • 9. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 15 - 24 25 - 34 35 - 49 50+ Black White Indian Coloured Male Female Daily Weekly Monthly Less often Age Race Gender Frequency of visit 27% 33% 26% 14% 63% 10% 12% 14% 36% 64% 15% 51% 30% 3% Spread of ages, races and across week activity More females than males
  • 10. What did we ask? On Entry • Visit frequency; visit timing (day, week, month) • Overlap with other malls in the region • Travel time, mode and origin • Planned visits • Reason for coming to mall On Exit (for a voucher) • Types of stores visited • Brands visited • Purchase (planned and unplanned) and spend • Reason for purchase • Mall rating on list of criteria • In mall advertising noticed • Marketing activations noticed • Shopper attitudinal statements • Loyalty cards • Cell phone questions (use, social media etc.) • Standard demographics
  • 12. The roles of Super-Regional vs. Regional malls are clearly differentiated by mall goers Super-Regionals Regionals  Centred around EXPERIENCE  Rated positively in terms of  Accessibility  Comfort  Discovery of new products  Socialising  Centred around FACILITATION  Rated positively in terms of  Purpose driven event  Directed purchase  Functional engagement  Ease of navigation is a strong influencer Super-regionals are more likely to be used for a wide variety of activities by mall goers Regionals are more likely to be frequented regularly for essential shopping and activities
  • 14. On average, mall goers visit 9 categories per visit 3 of 9 category visits are unintended at the outset Mall goers buy a variety of items when shopping, a third outside of their original intention
  • 15. There are similarities between the top intended categories and top unintended categories visited Top Intended categories visited Top unintended categories visited  Food and household products  Clothing  Department Stores  Restaurants and coffee bars  Clothing  Food and household products  Banking  Department stores  Household groceries  Household groceries
  • 16. 8 in 10 mall goers purchase during their visit 4 in 10 purchases are unintended at the outset Malls attract buyers, who buy things they didn’t even know they needed This equates to R 13.5 billion a month being generated by unintended purchases
  • 17. 36% of spend was attributed to the presence of in-mall advertising and marketing activations Marketing in the last mile contributes to the bottom line In a mall with an average of 800,000 monthly visitors, 288,000 purport to be influenced by the presence of in-mall advertising and marketing activations R 12.2 billion spend a month being generated by response to in-mall advertising and activations
  • 19. The research identified 5 distinct shopper behaviours Goal Directed Taking a Break Leisure Shopper General Shop Business Purpose
  • 20. Goal Directed • Less frequent visitors • Spend on average 1h27 a visit • Value mall navigation tools • Notice in-mall advertising and marketing activations • Although focused on what they have come to buy, they do make unintended purchases This group generates around R 48.3m in spend in an average mall a month Top 5 intended categories Top 5 unintended categories  Food and Household  Clothing  Clothing  Cellphone / electronics  Department store  Department  Accessory / Luggage  Restaurant / Coffee bar  Cellphone / electronics  Food and household
  • 21. Taking a Break • Spend on average 1h27 a visit • Get involved with the demonstrations and engage in marketing events • Go primarily for food and household goods, but often end up buying other categories. • Higher propensity to make unplanned purchases This group generates around R41.6 m in spend in an average mall a month Top 5 intended categories Top 5 unintended categories  Food and household  Clothing  Clothing  Restaurants / coffee bars  Department Stores  Household groceries  Household groceries  Food and household  Banking  Department stores
  • 22. Leisure Shopper • Spend on average 1h42 per visit • Prime purpose is socialising and entertainment • Tend to travel distance to the mall for the occasion • Open to in-mall advertising and demonstrations – like new experiences • Active on social media and utilise it extensively This group generates around R 18.3m in spend in an average mall a month Top 5 intended categories Top 5 unintended categories  Clothing  Clothing  Food and household  Restaurants / coffee bars  Entertainment  Food and household  Department stores  Department store  Accessories / luggage  Accessories / luggage
  • 23. General Shop • Less frequent visitors but travel from far • Spend on average 1h31 per visit • Higher propensity for visit intention to be vague at the outset • Aware and interested in in-mall advertising and marketing activations This group generates around R 9.7m in revenue in an average mall a month Top 5 intended categories Top 5 unintended categories  Food and household  Clothing  Clothing  Restaurant / coffee bar  Department store  Food and household  Banking  Department store  Household groceries  Household groceries
  • 24. The Business Purpose • High frequency visits from local catchment • High propensity to engage in unplanned purchases • Significantly open to marketing activities and in-mall advertising • Engaged actively in online and social media This group generates around R 3.9m in sales in an average mall a month Top 5 intended categories Top 5 unintended categories  Food and household  Clothing  Clothing  Food and household  Department stores  Department stores  Banking  Household groceries  Household groceries  Restaurants / coffee bar
  • 26. 𝑠𝑡𝑜𝑟𝑒 𝑣𝑎𝑟𝑖𝑒𝑡𝑦 + 𝑒𝑥𝑡𝑒𝑛𝑑𝑒𝑑 𝑏𝑟𝑜𝑤𝑠𝑖𝑛𝑔 𝑡𝑖𝑚𝑒 𝑎𝑣𝑎𝑖𝑙𝑎𝑏𝑙𝑒 = log 𝑠𝑝𝑒𝑛𝑑
  • 27. R 0 R 100 000 R 200 000 R 300 000 R 400 000 R 500 000 R 600 000 R 700 000 R 800 000 R 113 046 R 360 123 R 789 384 R 358 041 R 30 883 R 107 891 R 72 015 R 11 424 R 32 678 R 160 418 R 40 343 R 24 311 R 114 908 R 31 083 R 115 495 R 81 171 R 35 803 Purpose of visit Shoppers come to shop, but shoppers with time on their hands are a lucrative market
  • 28. Shoppers tend to say and do very different things They say advertising gets them there They say they are cautious, but also that they are willing to use credit They say they like to buy items on special They say advertising and special promotions influence them Few were brought in on the strength of an offer advertised outside the mall High propensity to visit stores not intended and purchase items not planned for They respond well to specials which shows they are deal prone High propensity to only remember things they need once in the mall, which suggests that triggers in the local environment are effective
  • 29. The importance of the last mile
  • 30. In-mall advertising and marketing activations have a significant impact on consumer purchases  Advertising and mall activations accumulate  Mall activations create unplanned browsing (statistically significant correlation r = .256)  Engaging in product demonstrations  Receive store marketing messages  Attend marketing events during visit  Enter a promotion
  • 31. In-mall advertising and marketing activations have a significant impact on consumer purchases  Advertising and mall activations accumulate and explains 36% spend in malls  Mall activations factors into spend (statistically significant correlation β = .223)  Mall advertising factors into spend (statistically significant correlation β = .248)  When combined in concerted campaigns – an amalgam creates the impact – so rather own a mall than spread efforts thinly across malls R 12.2 billion spend a month being generated by response to in-mall advertising and activations
  • 32. In-mall advertising is recalled by those with unplanned visits and purchases to be influential Top 3 recalled in-mall advertising platforms 1. Escalator branding 2. Hanging banners 3. Lift door branding
  • 33. The role of digital is significant in malls where the capabilities are higher In malls with digital capabilities, digital directories and video walls were within the top 5 recalled advertising channels
  • 34. While smartphone penetration is high, the usage of devices for wifi in the malls isn’t significantly high 62% Smart Feature Basic 26%12% 71% currently don’t have wifi enabled on their wifi enabled phones when coming to the malls
  • 35. Online shopping penetration is low currently but with access and mobility increasing 8% of mall goers currently report to use online shopping
  • 37. With consumers being deal prone and value conscious, in mall promotions work well to drive behaviour With a high propensity to engage in the mall environment for relaxation and socialising, mall demonstrations are attractive In-mall marketing activities play a far larger role in unplanned purchases than advertising In-mall marketing activities correlates to unplanned visits of mall retailers There is a direct correlation between amount of time spent in the mall and the presence of in-mall advertising to drive unplanned purchases
  • 39. Mall Owners • Aware of mall position and role it serves in lives of shoppers • Store and occasion mix important • Positioning of smaller occasion shops near big retail increases foot-traffic for large retail • Clothing and department stores should remain as the anchor tenants • Gauteng large malls are more of a social outing than coastal and smaller malls, so can capitalise on many shopping occasions • Encourage browsing opportunities where ever possible as they are a key part of increased spend
  • 40. Brand Owners • Advertising needs to be coordinated between large scale above the line brand building and below the line sealing of the deal • Differentiate between volume drivers below the line and brand symbolism above • Opportunity to energise brand through experiential occasions when shoppers are at leisure
  • 41. Retailers • Be cognisant of positioning of refreshment occasions within large retail • Business meetings and other activity generates a great deal of opportunistic spend for the mall • Browsing is the second biggest event associated with spend – underscoring the need for footfall • Build on segments of shoppers and their needs