Shoppertunities Kerry Chipp 15 May 2014 Note of thanks to sponsor - - PowerPoint PPT Presentation

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Shoppertunities Kerry Chipp 15 May 2014 Note of thanks to sponsor - - PowerPoint PPT Presentation

Shoppertunities Kerry Chipp 15 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


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Shoppertunities

Kerry Chipp 15 May 2014

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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”

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Background

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*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

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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

  • ne on entry and other on exit
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SLIDE 7

Who did we speak to?

Profiles

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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

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SLIDE 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

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SLIDE 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
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The mall differentiators

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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

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The unintentional shopper

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On average, mall goers visit 9 categories per visit

3 of 9 category

visits are unintended at the

  • utset

Mall goers buy a variety of items when shopping, a third outside of their original intention

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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
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SLIDE 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

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SLIDE 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

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Shopper behaviours

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The research identified 5 distinct shopper behaviours

Goal Directed Taking a Break Leisure Shopper General Shop Business Purpose

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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
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SLIDE 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
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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
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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
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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
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Actions and Attitudes

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𝑡𝑢𝑝𝑠𝑓 𝑤𝑏𝑠𝑗𝑓𝑢𝑧 + 𝑓𝑦𝑢𝑓𝑜𝑒𝑓𝑒 𝑐𝑠𝑝𝑥𝑡𝑗𝑜𝑕 𝑢𝑗𝑛𝑓 𝑏𝑤𝑏𝑗𝑚𝑏𝑐𝑚𝑓 = log𝑡𝑞𝑓𝑜𝑒

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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

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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

  • n 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

  • nce in the mall, which suggests

that triggers in the local environment are effective

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The importance of the last mile

says “name surname” –

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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

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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

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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
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The role of digital is significant in malls where the capabilities are higher

In malls with digital capabilities, di

digital gital di dire rector ctories ies and vi vide deo

  • walls

lls were

within the to

top 5 5

recalled advertising channels

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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

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Online shopping penetration is low currently but with access and mobility increasing

8%

  • f mall goers currently

report to use

  • nline shopping
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Key Take Outs

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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

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Implications for stakeholders

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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
  • f increased spend
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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

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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
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Thank you!

Kerry Chipp chippk@gibs.co.za