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Page 1: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 2: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Convert anonymous visitors into loyal

members ”

Jasper de Vreugt Managing Director, Mall-Connect

Page 3: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

July 1994

Amazon.com founded

Page 4: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Is Amazon.com a shopping mall?

74% Prefers physical

shops over online

shops. - ABN AMRO cross channel retail update 2014

Page 5: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

If you only knew…

Page 6: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

? ?

? ?

? ?

?

Page 7: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 8: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 9: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Showrooming “ ”

Kinect shop, Amsterdam

Page 10: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Find more information online

Page 11: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Compare prices

Page 12: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

How

WHERE WE SEARCH FOR PRODUCTS…

Page 13: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

How

…AND WHERE WE ACTUALLY BUY THEM.

PRE-PURCHASE ORIENTATION DONE

PURCHASE MADE NON-FOOD 2014

OFFLINE OFFLINE 34%

ONLINE ONLINE 32%

ONLINE OFFLINE

28%

OFFLINE ONLINE

3%

ONLINE-OFFLINE ONLINE

2%

OFFLINE-ONLINE OFFLINE

2%

Page 14: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Webrooming “ ”

Page 15: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

WEBROOMING / SHOWROOMING

28% / 3%

Page 16: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

“Ieder nadeel heb zijn voordeel”. “There is an advantage to every disadvantage.”

- Johan Cruyff

Page 17: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 18: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 19: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 20: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 21: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 22: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 23: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 24: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 25: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 26: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 27: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 28: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency
Page 29: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Click & Collect

Page 30: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Click & Collect

Page 31: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

“I skate where the puck is going to be, not where it has been”. - Wayne Gretzky, best NHL player of all times

Page 32: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

• What stores can I find? • What entertainment is around? • Are there any promotions? • How can I get there? • What are the opening hours? • Is it safe for my family?

Why should I go to this mall, and not the other?

In the dark & disconnected “

Page 33: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Wrong focus

• Asset managers spend their time on: • Analysis • Reporting • Optimization of the ‘as is’ situation.

• Marketing the shopping center often gets a low priority.

• There is understaffing on-site, at the mall.

Why should I go to this mall, and not the other?

Page 34: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Get fully consumer centric 1. Learn who your shoppers are & what they want 2. Learn the world of online retail 3. Exploit in-mall possibilities that cannot be

realized online 4. Translate successful online tactics to in-mall

opportunities

Page 35: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Convert anonymous visitors into loyal

members ”

Page 36: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Omni channel marketing

Cross channel marketing

Multi channel marketing

Static website

Opportunity

Room for improvement – at most malls

Page 37: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Prime shopping destinations

Convenience shopping locations

Prime or convenience – different approach

Page 38: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Become 100% customer centric

Page 39: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

time

data collected

Member

0. Anonymous

0. Build digital channels

1.

Identified

1. Start collecting data

2.

Engaged

2. Start 1 to 1 marketing

3.

Loyal

3. Identify top 20% customers

Journey to get loyal members 4. Engage customers with events

5. Continuous improvement & optimization

Page 40: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

0. Build digital channels

Pre-shopping orientation • What stores can I find? • What entertainment is around? • Are there any promotions? • How can I get there? • What are the opening hours? • Is it safe for my family?

Why should I go to this mall, and not the other?

Page 41: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Pre-shopping orientation Apps and responsive websites

0. Build digital channels

Page 42: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

In-mall engagement • Tenant advertising and events promotion across

screens • Wayfinding and practical information • Store directory and store details • Loyalty Programs

0. Build digital channels

Page 43: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Link Free Wifi to Membership & Promotions

0. Build digital channels

Welcome to DemoMall.

Become a Privilege Member and enjoy Wifi & Member Offers.

It’s Free!

I accept the terms.

NEXT >>

OR Create an account

CREATE ACCOUNT >>

email

Privilege Club # 123456

Member Offers

A-Z CATEGORY

Download our app to receive offer alerts while you shop

X

Page 44: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

In-mall engagement Bluetooth Beacons

0. Build digital channels

• Targeted based on proximity to a store or zone.

• Targeted to personal profiles.

• Should be capped at X number of promos per visit.

Page 45: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

In-mall engagement Video screens and touch screens

0. Build digital channels

Page 46: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

1. Start collecting customer data

From digital registration

Page 47: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

From smart surveys

1. Start collecting customer data

Page 48: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Style preference

1. Start collecting customer data

Page 49: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Style preference

1. Start collecting customer data

Page 50: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Purchase power

1. Start collecting customer data

Page 51: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Purchase intent

Family size

1. Start collecting customer data

Page 52: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Style book

1. Start collecting customer data

Page 53: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

‘Must haves’

Social share

1. Start collecting customer data

Page 54: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Recommended stores

1. Start collecting customer data

Page 55: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Recommended stores

1. Start collecting customer data

Page 56: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

From your mall loyalty program

1. Start collecting customer data

Page 57: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

From in-mall tracking

1. Start collecting customer data

Wifi Trackers • Behavioral data such

as: – New vs Returning

shoppers – Average Dwell Time – Average visit frequency – Average visit recency – Members vs

Anonymous

• Data can be used for retargeting banners on mobile websites.

In-Store Beacons • Conversion data such

as: – Offers sent – Offers viewed – Offers redeemed

• Interest data such as: – Stores visited – Store categories visited – Store visit frequency – Store visit recency – Next store visited – Previous store visited

• Data only available from ‘members’

Footfall counters • ‘Hard’ number of

people going in and out the shopping center.

Page 58: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

One single customer database across all channels

1. Start collecting customer data

SOCIAL ACTIVITY MALL ACTIVITY

W IFI HOTSPOTS

ONLINE ACTIVITY

LOYALTY

DATA

DATA DATA

Page 59: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

One single view on each customer

1. Start collecting customer data

Store preference

Visit history

Demographics

Membership

Channel usage

Registration info

Page 60: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

2. Start 1 to 1 marketing

Welcome messages

• Based on GPS or Bluetooth Beacons

• Only to ‘Members’ • Reminding them to open the

Promotions. • Providing them last minute

member benefits.

Page 61: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Personalised, targeted promotions

2. Start 1 to 1 marketing

Promotions can be created by Users, Shops or Shopping Centre Management.

Every promotion is based on a template with title, description, begin- and end-date, image and video

Promotions can be published in all digital channels, with one single click.

Promotions can be send to different segments based on demographics, personal interests, geo-location or the proximity to the stores.

Mobile Apps iOS, Android

Social Networks Facebook, Twitter, Pinterest

Responsive Web Mobile, tablet, desktop

Touch Screens

Video Walls

Page 62: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

2. Start 1 to 1 marketing

Personalised, targeted newsletters

Golden rules: • Segment • Personalise • The Subject Line • Design & Copy • And…not too often

Page 63: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Rewards for loyal members

2. Start 1 to 1 marketing

[hier het filmpje van ‘The List’

• Free services • Valet Parking • Car wash • Porter service • Lounge access • Private shopping

• Preview sale invitations • Invitations to preview

new collections • Member Discounts

Page 64: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Loyalty programs can provide valuable data

3. Identify top-20% customers

• # Purchases made • Purchase amount • Store categories • Purchase frequency • Purchase recency • Customer LTV

Page 65: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Win a Kot (win an apartment)

4. Engage members with events

Page 66: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

4. Engage members with events

Rewards for loyal members

Klubshopping

Page 67: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

5. Improvement & optimization

Dwell time By day, week, month

Most popular routing From, To, Visitors, Unique

Footfall Total, Unique, New, Returning, Member

Footpath Direction, Visitors Zone activity

Color and size show visitor activity

Summary Visitors, unique, dwell time

In-mall tracking

Page 68: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

5. Improvement & optimization

Online tracking

Page 69: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Convert anonymous visitors into loyal

members ”

“ Show me the Money! ” “

Page 70: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

Why we need to do this

Example calculation of ROI

Assume a mall with… • Combined annual store revenue: EUR 50 million • Annual footfall: 4.5 million shoppers • Average value per shopper: EUR 25 • Turnover rent percentage: 8% • Footfall uplift realized from targeted marketing &

loyalty program: 5% or 225,000 shoppers The uplift of your turnover rent will be: 225,000 shoppers * EUR 25 * 8% = EUR 450,000

Page 71: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

INTEGRATED DIGITAL MARKETING PLATFORM

CMS

Marketing reports

Targeted promotions

Big Data / Shopper Database

Events

Loyalty

Newsletters

API

DIGITAL CHANNELS

Responsive websites

Mobile Apps Android & iOS

Video Walls

Touch Screens

Home and ‘On the Go’

Inside Shopping Mall

Bluetooth beacons

Social Media

Existing CRM systems

Existing Asset Management

Systems

User accounts

Footpath tracking

Footfall counters, Wifi Trackers

External ad networks

To summarize

Marketing Technology

Page 72: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

To summarize

• Build digital channels • Start collecting data • Start 1 to 1 marketing • Identify top-20% customers • Engage customers with events • Continuous improvement & optimization

Roadmap

Page 73: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

[

To summarize

• Shift focus to consumer marketing • Free up resources & budget – at least 25% of the

marketing budget should go to digital. • Start small – build early success • Involve key tenants in an early stage

Business change

Page 74: Convert anonymous³n_Jasp… · Wifi Trackers • Behavioral data such as: – New vs Returning shoppers – Average Dwell Time – Average visit frequency – Average visit recency

Questions