making your smartphone truly intelligent

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!

!

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!

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!

geo-

fencing

≠ context

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

! 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! subway!train!

on the bus!

boat!

sitting! standing!

airplane*!

biking!

arriving at home, work, the gym, ...!

shopping!

lunch!inactive!

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

every !that !do !workaholic!

aggressive driver!

about to commute!

<4h sleep!

driving!started!

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!

platform! services!

prod

uct!

solu

tion!

chan

nel!

mobile context aware & behavioral profiling platform!

self

serv

ice

port

al!

insi

ghts

& a

naly

tics!

prof

essi

onal

ser

vice

s &

expe

rtis

e!

inte

grat

ion

serv

ices!

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!

ubiquitous insights for personalization and optimization!

improved user!engagement & ROI!

deep mobile profiling context-aware & multi layered!

3!2!1!

what you get!

1!

2!

3!

4!

sample use cases!

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!

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!

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!

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!

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!

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!

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!

•  smartphones, tablets & connected devices!•  no user interaction required!

use case 3: media recommendations!

watching tv!

running (20 mins ago)! sitting!

inactive!

calm environment! alone!

at home (15 min)!

morning person!

active!

7h sleep!

petrol head!

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

anticipate how, when and for how long a user watches video!

media on the move!

context defines the moment!

socialite, shopaholic, parent!7.5h sleep, weekend!

walking, out and about!

use case 4:!retail loyalty cards & vouchers!

every !that !push!! ! ad!

shopaholic!

heavy commuter!

leaving train/subway!

close to Starbucks!

walking!started!

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!

building your campaign!

Dog owner, workaholic, golfer!on his way to a meeting!in a car, skyping!

WHO WHEN WHAT

SELF SERVICE PORTAL!

selected audience!profile 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!

city person, sportive, workaholic!on her way to work!commute, standing!

technology!

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!

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

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

thank you!