Sentiance can make your smartphone truly intelligent. We unlock contextual mobile experiences by mining sensor data on smartphones, wearables and connected devices. This enables companies worldwide to tap into a new level of mobile personalization and engagement. From mobile data to smart life.

1. making your
smartphone
truly
intelligent

2. Sentiance unlocks mobile
experiences by mining
sensor data on
smartphones, wearables
and connected devices
… to understand and
predict the context,
behavior and mood of your
mobile audience.
what we do
From mobile data to smart life
www.sentiance.com

3. US$ 19
Trillion in global GDP
due to the Internet of
Everything by 2020
Cisco & GE
US$ 300
Billion incremental
revenue by 2020
Gartner
40.9
billion
connected devices
by 2020
155
million
connected cars
by 2020
100
million
connected light bulbs
by 2020
1
trillion
connected
sensors
by 2020
2.5
billion
smartphones
by 2020
US$ 12
billion
wearable market size
by 2020
where we play

4. 1. We enrich & create REAL profiles – based on sensor data – to create
more personalized real-time interactions in the right context, higher
conversion & increased customer engagement.
2. We make smart devices truly intelligent, therefore offer a more
convenient user experience.
3. We make mobile apps context aware, and therefore more relevant.
4. We offer a centralized sensor processing platform for storing &
handling sensor data, including Audience Manager.
what we offer

5. geo-
fencing
≠
context

6. the sentiance context suite
sentiance
context suite
sentiance
platform
night owl
easy commute
aggressive driver
at lunch
shopping
L2 moments
commute home
L3 profile segments
SDK
L1 events
at the gym
parent (has kids)
driving
noisy environment
in company
SENSOR DATA

7. sense and interpret
the contextual cues
of a mobile user
uncover habits and
predict human behavior
learn about the ever-
changing personalities
of a mobile user
Layer 1
Layer 2
Layer 3
aggressive driver
…
…waking up
…
pet owner
sleeping
walking running
car subwaytrain
on the bus
boat
sitting standing
airplane*
biking
arriving at home, work, the gym, ...
shopping
lunchinactive
noisy environment*
in a meeting
horse*
home
working
in company*
full-time worker
workaholic
urban
CONTEXT
defines the moment
L2 moments
L3 profile segments
L1 events
resources
watching tv
motorcycle
agitated*
suddenly stopped
tram
climbing*
*subject to sensor availability/capability and/or user permissions

8. every that do
workaholic
aggressive driver
about to commute
<4h sleep
drivingstarted
Insurance App
Don’t forget to hydrate
plenty today and drive
safely. Do you want me
to build a playlist to help
you focus?
Dismiss OK
creating a personalized campaign
example: car insurance app

9. platform services
productsolutionchannel mobile context aware & behavioral
profiling platform
selfserviceportal
insights&analytics
professionalservices&expertise
integrationservices
in-app DMP push CRM chat
recom-
mender
voice mail SMS video ... ...
contextual
interactions
mobile
personalization
proactive
engagement
profiles & context data layer
integration layer
context aware engagement
mobile SDK profile store context store
the sentiance context suite

10. ubiquitous insights
for personalization
and optimization
improved user
engagement & ROI
deep mobile profiling
context-aware & multi
layered
321
what you get

11. 1
2
3
4
sample use cases

12. create individual driver profiles
behavior modeled in function of the condition in which the
measurements are taken
(‘breaking on a rainy highway with little traffic’ vs.’ breaking in front of traffic lights’)
monitor the behavior at all times, model evolution, but
also detect sudden changes in behavior
(changes related to lack of sleep, alcohol, schedule stress, …)
use case 1: usage based car insurance

13. external contextual influencers
behavioral influencers
WEATHER
TIME OF
DAY
ROAD
TYPES
TRAFFIC
SPEED
LIMITS
STOP
LIGHTS
VEHICLE
TYPES
VEHICLE
CONDITION
examples of human behavior and mindset that we can take into account are phone
interaction and usage, alertness and stress, schedule, night out, hours slept, ..
brake stop lane change turn accelerate
driving events
context aware driving profiling

14. 1 anticipating behavior
sequence analyses, accelerating, breaking, coasting,
cruising, left & right turn, …
aggressiveness
intense accelerations, turns and breaking, lane
switching, tailgating, ..
legal driving
short term speed averages (e.g. 50 – 120 vs. 70 – 140)
speeding violations (map matching / road type /
speed limit), u-turns
prior risks
drive frequency, driving times (day vs. night), driving
durations (time without breaks), risk areas – city vs
countryside, traffic jams, dirt roads, …
2
3
4
multi-layered driver profile

15. LEFT LANE
DRIVER
these drivers
consistently
prefer the
fast lane
ZEN
DRIVER
courteous and
calm, nobody
more pleasant
to encounter
on the road
THE
TAILGATER
let us hope the
person in front
does not decide
to hit the
breaks
ASOCIAL
DRIVER
familiar to all of
us, these drivers
that do not
realize there are
others on the
road as well
LANE
SWITCHER
left, right, left
… then right
seems faster;
maybe middle
lane now?
10%
DRIVER
at least there’s
consistency in
their speeding;
an average 10%
above the limit
driver profiles

16. context-aware security
stop mobile fraud before it happens, by looking at the context of a
transaction rather than the content of a transaction
behavioral identification (in research)
even when the PIN code or password is compromised an attacker cannot authorize a
mobile transaction because this behavior will not be recognized
contextual transactions
include the contextual information under which a transaction has been executed,
this means that anti fraud systems now can evaluate the circumstances in which a
transaction has been made
use case 2: mobile banking

17. By smart sensing the circumstances of a mobile user, a real time risk
profile is built on the contextual elements that are observed. Based
on this profiling practice, strict or relaxed security controls can be
enforced.
if then
arrived at home
alone
Banking App
User is at home.
Transfer limit is
increased to
2.500 EUR.
context-aware security

18. profile + context + transaction
pet owner
family man
late at work ✗
alone ✓
out of routine ✗
Banking App
transaction denied
please contact your bank
contextual transactions
transfer
2.450 EUR
time 19:31
sentiance enriches transactions with observed contextual information, so anti fraud systems can
profile the normal conditions of which a typical transaction is executed
new account
international
transaction

19. • smartphones, tablets & connected devices
• no user interaction required
use case 3: media recommendations

20. watching tv
running (20 mins ago) sitting
inactive
calm environment alone
at home (15 min)
morning person
active
7h sleep
petrol head

21. suggestions are
based on Ann &
Yves’ activity levels,
post-commute
preferences, their
estimated time to
bed, and what
content they prefer
to watch together
(this also allows for multi-
party desynchronized
episode watching)
same room
recommendations

22. anticipate how, when and for how long a user watches video
media on the move

23. context defines the moment
socialite, shopaholic, parent
7.5h sleep, weekend
walking, out and about
use case 4:
retail loyalty cards & vouchers

24. every that push
ad
shopaholic
heavy commuter
leaving train/subway
close to Starbucks
walkingstarted
creating a personalized campaign
example: loyalty card app
coffee drinker
Why not stop at Starbucks
and get a free brownie
with your favorite coffee?
Click OK to receive your
free voucher.
Dismiss OK
commute to work

25. building your campaign
Dog owner, workaholic, golfer
on his way to a meeting
in a car, skyping

26. WHO WHEN WHAT
SELF SERVICE PORTAL
selected audienceprofile library
Search for profiles
! transport
Die Hard Driver
Green Commuter
Easy Commute
Heavy Commute
" driving
! location
City Worker
Town Worker
City Home
Rural/Town Home
City Life
Rural/Town Life
" life
estimated daily users
audience size
events
City workers who work nearby and have a short commute
CITY WORKER (LOCATION)
Works mostly in the city
SPORTY COMMUTERS (TRANSPORT BEHAVIOR)
People who have a rather short but healthy morning commute on foot, by bike, motorcycle, …
commute distance clear filter commute duration clear filter
November December 2015 February
November December 2015 February
km minutes
dashboard audiences contexts campaigns apps account docs
audiences / City workers who work nearby and have a short commute
collapse all

27. city person, sportive, workaholic
on her way to work
commute, standing
technology

28. profiling
map/reduce sensor
and context data
CRM
DMP
context store
API
mobile app
insights
analytics
performance
reporting
dashboard
real-time layer
compute layer
training layer
campaign execution
• ads
• audience
segmentation
• push notification
• email
• SMS
• voice
• CRM updates
profile
model store
external
campaign
context
model store
raw data
(sensors, events)
our technology stack
profile store
SDK
in app
action
moment &
context
detection
self service
campaign
suite

29. 1 day
on a single battery charge
means your mobile users
won’t experience any
inconvenience…

30. 1 line of code
is required to integrate our
mobile SDK and start building
intelligent and personalized
user experiences!

31. thank you