2. 22 million digital screens worldwide
300,000+ in the UK alone
+6 Million new screens this year 26% Growth Rate
Retail analytics - $3.2 Billion (USD)
Growth: 18.6%
Content Management Software - $456 Million
Growth : 13.3%
Market Size
Global
Intel digital signage report - All number are for 2017 - All growth is CARG
3. • Digital screen content management systems (CMS) are
inefficient & have no way to adapt content to the viewer -
meaning the wrong message is often delivered to the wrong
customer.
• CMS systems are expensive and time consuming to install
• 75% want to identify when customers walk into their store
but don’t know how.
Problem
Owners of digital signage screens face significant problems:
Boston Retail Consulting report - All number are for 2017 - All growth is CARG
4. Real Life Analytics enables targeted
advertising on any digital screen in real time
Using plug and play hardware that determine the age, gender &
engagement of the viewer
and provide insight into customer demographics & behaviour
Our Solution
5. Plug & Play Hardware
The smartest way to power your digital displays
Connect the RLA little black box to any display and start
targeting images, video, social media content and much more,
using powerful facial detection technology
6. Plug and Play Install
Super easy to install, just plug and play.
HDMI
Ethernet or
Wifi connection
Standard power
USB cameraHDMI
7. Select Detect Display Analyse
Upload artwork (static,
dynamic or video), select
target audience, location
and even time of day
Detect the demographic
information of the
person/people in front
of the screen
Display content (ad,
product or social media)
that is targeted and
relevant to the
person/people currently in
front of that display
Analyse the effectiveness of
the content as well as the
demographic profiles of the
customers’ gender, age and
much more
How It Works
8. The Benefits
Targeted advertising is
2.7x
more effective than
random adverts
Increase sales Monetise screens
£
Increased
Customer engagement &
satisfaction
9. Amazing insight
Age, gender & engagement analytics
Including: Number of viewers, Dwell Time, Attention time & Opportunity to see (OTS)
10. No privacy concerns, as only aggregated statistics are
collected, no images are saved & all processing is done locally
on the device.
11. Neural Trimming Technology
20ms
Video
Input
Real Time
Accuracy
• Our software mimics the
human brains temporal
and optical lobes.
• Can be taught to look for
specific objects, not just
facial features.
• Localized processing, no
server or data
transmission needed.
Our Competitive Advantage
Secret Sauce
12. • Distance: Up to 10m (33 feet) away
• Multi-person Detection: Up to 7 people
• Speed: 20 Milliseconds
• Accuracy: 75 -85%
Our Competitive Advantage
14. How We Stack Up
Detailed competitor analysis
Demographic
Targeting
Customers
captured
Real Time? Analytics Content
Management
100%
N/A
100%
N/A
N/A
100%
<10%
N/A
iBeacons
15. Tech Roadmap
New features coming soon
• API for multiple CMS integration (Q1 2016)
• API for web integration (Q1 2016)
• In-Store Inventory Integration (Q1 2016)
• Emotion Detection (2016)
• Clothing detection (Q2 2016)
• Facial hair (Q1 2016)
• Glasses (Q1 2016)
• Dress Size (build) (2016)
• Link advertisements to weather (Q1 2016)
• Identify what car a customer is driving (Petrol station & car parks)
• Brand
• Make
• Model
16. Team
Introducing the Dream Team
Adam Carrigan
Co-Founder & CEO
Education:
University of Cambridge
Experience:
Deloitte – Consulting
Judge Business School -
Research
Jorge Torres
Co-Founder & CTO
Education:
Australian National University –
Computer Science
Experience:
Couch Surfing
SKILLSHARE
Mauricio Pacheco
Full Stack Engineer
Education:
Pontifical Bolivarian University
– Electronics engineering
Experience:
Allfreed – Developer
Big Holidings – Front End
Developer
17. Advisors
Introducing the Dream Team 2.0
Richard Fearn
Director – Friday Club &
Tech Investor
uk.linkedin.com/in/rfearn
Francis Goodenday
VP – Tetra Pak
uk.linkedin.com/in/goodenday
Ralph Kugler
Board Director –
Unilever, IHG, former
global president Unilever
uk.linkedin.com/pub/ralph-
kugler/5/b1b/2b1
Rahul Gautam
Retail, Media &
Entertainment Partner
EY
uk.linkedin.com/in/rsgautam
Sam Sahana
CIO/CTO - Consumer,
Leisure, Retail and Digital
linkedin.com/in/samsahana
18. Real Life Analytics
We collect data nobody else can using intelligent computer vision
Real Life Analytics is changing the way brands and retailers interact with their customers in-store, collecting
customer data and analytics where none existed before. We do this through intelligent computer vision
technology. Retailers can now collect demographic data - age, gender and engagement - from customers by
simply walking in front of our cameras, without opting into any program or requiring a purchase.
Our app can be installed on digital screens or tablets with cameras allowing demographically targeted ads,
flash sales or customer specific promotions to appear instantly on screens. Brick and mortar locations can now
move away from the current static advertisements and instead target content to their customers in-store.
The data collected can be accessed easily via an online dashboard, improving the speed and understanding of
customers. This creates real time data, which has never existed before, so retailers can interact with their
customers in-store the same way they do online.
www.RealLifeAnalytics.com
@RLAnalytics
adam@reallifeanalytics.com
