Footprints finally solves the fusion of shoppers’ real-world behavior with their digital data by using behavioral profiling through high-precision anonymous indoor tracking & proprietary AI.

1. Predict & Influence What
Your Shoppers Want

2. Footprints finally solves the fusion of
shoppers’ real-world behavior with their
digital data by using behavioral profiling
through high-precision anonymous
indoor tracking & proprietary AI.
Trusted by Tier 1 retail property owners & retailers in EMEA:
Strongest channel & tech partnerships:

3. Our mission is to become the global tech
provider of choice for O2O retail data,
enabling retail property investors to
capitalize on the rise of the AI.

4. Therefore, Footprints is the most intuitive
AI operating system for shopping centers
designed to predict & influence all interactions
with physical shoppers, inside and outside
retail properties.

5. Unify all your offline & online shopper data sources into
a single, scalable and robust AI platform:
Increase Your Shoppers' Visit
Duration
Analyze & Understand
Shopping Behaviors
Predict Shoppers’
Behavior & Footfall Traffic
Boost In-Store Traffic Influence In-Store Sales Increase Your Shoppers'
Frequency of Visits
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Automate Omnichannel
Content & Marketing
Personalization
Discover Audiences Having
A Similar Behavior to Your
Loyal Shoppers
Maximize Efficiency of
Your Multichannel
Marketing Spend
Target Precisely Your High-
Potential Shoppers, both at
home and on premise
Monetize Your Shoppers'
Behavioral Profiling Data

6. The Context

7. At this pivotal moment
for the physical retail,
COVID-19 pandemic
showed us that the
#futureofretail is about
the capitalization on the
rise of the AI.

8. COVID-19 came at a bad moment for retail properties.
This wake-up call will create both winners & losers.
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of all retail space to be closed by the end of
2021 in US (Green Street Advisors)
50% Yet, EMAAR & SONAE SIERRA
successfully launched their online
platforms in record time

9. What caused this?
Digital models took over our
expectations.
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Shopping habits are all about
convenience. And there was a
moment when convenience
changed to a new paradigm.

10. This moment of change in the expectations
around convenience generates…
moments of dissatisfaction for all physical
retail shoppers.

11. Shoppers now expect instance & memorable
experiences as their needs are outsourced to
algorithms, automation and smart devices.

12. Transformative Opportunity

13. We are living in a new stage of evolution for the
retail properties.
Asset
Development
Investors are only
concerned about
developing the best design
so they can attract paying
tenants and shoppers.
Physical Asset
Management
Investors realize they need to
invest in marketing & shopping
experience design in order to
drive value for their tenants
and their shoppers.
Digital Asset
Monetization
Investors realize data is
their biggest asset that can
help them drive sustainable
value for all stakeholders.
#futureofretail
1 2 3

14. If treating retail as
data, the physical retail
store would represent
the most powerful
media channel
available to brands.
Today, online shopping data feeds
a multi-industry market valued
annually at approx. $500 Bn.
Even with #COVID-19, there are
still 1.5 Bn. daily shopping visits in
indoor retail environments that
are unexploited.
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20%
Online
shopping data
80%
Physical
shopping data
The state of data in the global economy
This generates
$500Bn annually
This is not
monetized yet.

15. 15
The Value of Data For Retail Properties
This is how shoppers’ data
can help retail properties
drive more value for all
stakeholders.
Thus, Footprints can
transform the current
conflictual reality of retail
property model into a
balanced data-centric value
model.

16. The Solution

17. “Tell me where you
are, and I’ll tell you
what you want.”
Physical shopping behavior data
is the most valuable business
asset a retail property can use to
reimagine their economic model
in relation to brands.
We call this Indoor Location
Intelligence.

18. Footprints of shoppers inside retail property tell us what their current & future needs and
expectations are.
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Why Indoor Location Intelligence?
Transforming anonymous traffic into individualized shopping behavioral profiles.

19. STEP 1: We do indoor shopping behavioral profiling.
How We Generate Indoor Location Intelligence?
Collect mobile data via
ambient connectivity &
mobile sensors.
Apply Machine Learning &
building information mapping
in order to generate indoor
paths.
Create affinity profiling,
behavioral clusters and
predictions for individual
shoppers.
We mine indoor shopping behavior data in a
frictionless manner. We use existing Wi-Fi & BLE
beacons infrastructure.
This is how we track & profile the indoor
shopping paths of 85% of all shoppers.

20. STEP 2: We do online user acquisition & behavioral profiling.
How We Generate Indoor Location Intelligence?
We collect user identity & profiling data from all
digital channels of a shopping center,
and we merge it into a single 360° shopper
profile view.
Mobile Device
GPS Data
Wi-Fi Captive
Portal
Mobile Apps
Registration Data
Website
Registration Data
Website Usage
Data
Mobile Apps
Usage Data
Generic
Survey Forms
Net Promoter Score
Survey Forms
In-store Data
Collector App
Social Media
Engagement Data
Consent
Management Forms
Online Campaign
Engagement Data

21. How We Generate Indoor Location Intelligence?
STEP 3: We have our unique AI for offline to online data fusion. It matches shoppers with
their digital twins based on behavioral data. No app, no unique ID, no low audience volumes.
Just advanced AI.
This is how our HOMOMORPHISM™ technology works.

22. STEP 4: We enrich user profiles with
predictions & recommendations
around their indoor shopping
behavior for a 30-day forecast.
How We Generate Indoor Location Intelligence?

23. Our Predictive Audiences & Campaign Automation Models can instantly decrease
your marketing spend and help your marketing team do less, yet more effective work.
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How You Can Use Indoor Location Intelligence
Drive Brand
Awareness
Drive In-store
Traffic
Increase
Cross-shopping
Increase Visit
Duration
Increase Frequency
Of Visits
Generate
Marketing Leads
Generate Sales
Leads
Increase Shopper
Engagement
Drive Loyalty Increase Event
Attendance
Measure Visitor
Satisfaction

24. Use Indoor Location Intelligence
& Predictive Audiences to
enable One-to-One & One-To-
Many marketing strategies for
your physical retail.
5x - 8x
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Grow engagement while shoppers
are inside your center.
And reach out to your shoppers
while in your catchment area.
Up to 75%
25% - 50%
45%
more clicks for
your campaigns.
increase on
shopper basket
value with just-
before-visit ads.
growth on
frequency of visits.
decrease on your
marketing
operational costs.
Next-Gen Marketing Tech
In proximity Inside shops On way out
At home
At work

25. See our success stories.
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Case Study: Marketing Efficiency
27.5% 42%
average
engagement
rate in digital
advertising
(increase
from 4.7%).
more actions
on spend and
generated cost
efficiency.
Over 5X engagement
rate increase for
NEPI Rockcastle.
Our technology is the solution of
choice for marketing & advertising
in 25 shopping centers within NEPI
Rockcastle’s portfolio.

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Case Study: Sales Efficiency
16%
visible uplift in shopping basket
value on average across all
shopping behavioral segments.
16% increase of basket
value for CARREFOUR
Carrefour’s Scan & Pay solution
is using Footprints product
recommendation engine and
Propensity to Visit predictions
at individual level to personalize
the app experience.

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Case Study: Sales Efficiency
45% more footfall
traffic for McDonald’s
McDonald’s Romania uses
Footprints to connect low traffic
moments with Happy Hour offers
sent to audiences in proximity of
their indoor restaurants.
24% 45%
decrease in
cost per visit
and increased
advertising
efficiency.
growth in
conversions
at low traffic
hours and
generated
more sales.

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Use case: measuring the online value of a
physical asset
Determining the
ecommerce uplift
generated by a central
London store
Awareness uplift – Tracking search
keywords, mentions, improved CTR on
ads within catchment area
Traffic uplift – Tracking direct online
traffic within catchment area
Conversion uplift – Tracking online sales
Developing a methodology to
track, attribute and measure online
traffic in relation with offline
physical retail assets.

30. Let’s get your retail properties
to capitalize on the rise of the AI.
Request your free trial now and see how Footprints can work for you.
www.footprintsforretail.com Join the #futureofretail