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Kjartan Slette
COO & Co-Founder, Unacast
It’s Time to Think Outside the (Black) Box
Better Products and Smarter Decisions
with Transparent Location Data
«Location data is central and mission critical to the
development of the world’s most exciting technologies»
Rajeev Misra, SoftBank’s Vision Fund ($93 billion)
2
70%of activity happens in
the real world
That’s why we built the Real World Graph®
3
70%of activity happens in
the real world
DATA
SOURCES
VERTICALS-
Beacon
QR
Raw GPS
Wi-Fi
Geofence Check-in
NFC
Research
Insurance
City
planning
Marketing
Finance
Retail
analytics
Real
estate
Trans-
saction
Demo-
graphic
Survey
Behavioral
Multiple
POI data
Telco
data
Online
data
Next
Now
Banking
AI/ML
Emergency
services
Smart
cities
Hospitality
E-
commerce
Transport
4
The location engine
We connect multiple signals to multiple verticals through the Real World Graph®
DATA
SOURCES
VERTICALS-
Beacon
QR
Raw GPS
Wi-Fi
Geofence Check-in
NFC
Research
Insurance
City
planning
Marketing
Finance
Retail
analytics
Real
estate
Trans-
saction
Demo-
graphic
Survey
Behavioral
Multiple
POI data
Telco
data
Online
data
Next
Now
Banking
AI/ML
Emergency
services
Smart
cities
Hospitality
E-
commerce
Transport
5
The location engine
We connect multiple signals to multiple verticals through the Real World Graph®
6
Trust through
transparency
We have four company values at Unacast
And one of the is our internal focus on Transparency
Location data is a boxLocation data is a black box
Seller Buyer
7
8
Accuracy
Our strict cleansing
process means you see
the most accurate, full
view of a device’s
activity we’re able to
provide.
Transparency
We believe you should know the
origins and quality of our data,
so we strive to provide
transparency in every step of our
process.
Context
We provide detailed context on our
datasets for a 360-degree view of
device behavior.
The Unacast Difference
Our focus on quality means we commit to transparency, accuracy and context in all of our
datasets. The result? Unprecedented knowledge and understanding of your audience
9
Transparency
We believe you should know the
origins and quality of our data,
so we strive to provide
transparency in every step of our
process.
No More Black Box Location Data
There's no such thing as 100% accuracy in location data, but we believe in being
transparent about exactly how we create a dataset, what attributes were used and how
confident we are in the correctness of the information
Pre-set minimum
dwell time
Greater
Attribution
detail
Better
understanding
of data origins
At least two data
points detected
before forming
a visit
And many
more…
10
How We Do It
Turning location data points to visits
11
What does
transparency look
like in practice?
Transparent Data Products from Unacast
12
Pure
A lightly filtered stream of
location data that we have
aggregated from our suppliers
and checked for overlapping
and fraudulent data
This is a good fit if you're a sophisticated
platform with the internal capabilities to
attach POI, analyze and extract value from
data in a raw form
Visits
A highly-curated database of
visits to known points of
interest (POIs)
This is a good fit if you prefer working with
a dataset that has been contextualized and
thoroughly vetted for accuracy
Home vs Work
A database of location data
designed to most accurately
understand a device’s home or
work
This is a good fit if you prefer working with
a dataset that has been contextualized and
thoroughly vetted for accuracy
Transparent Data Products from Unacast
13
One-bump
Visits
Transparency now lets us build one
bump visits because we tell our
clients exactly what they are getting
and trust them to make the best
decisions they can
14
Actual snapshot of Visits dataset sample
Get to Know the Unacast Visits Dataset
Our most refined, customizable dataset offers unprecedented transparency and has been
contextualized and thoroughly vetted on accuracy
15
Timestamp
Device ID
(Advertising ID) &
Type (IDFA, GAID)
Venue Name &
Address
Standard Visits Attributes
What do most companies provide when they offer a Visits product? It comes down to
three basic attributes
16
Unacast Transparent Visits Attributes
We offer more than just the industry standard. The Unacast Visits dataset digs deeper and
offers unparalleled detail and transparency
Timestamp
Device ID
(Advertising ID) &
Type (IDFA, GAID)
Venue Name &
Address
Latitude/
Longitude
Duration of
Visit
Number & Names
of nearby venues
Number of data
points in a visit
Category of
Venue (i.e.
grocery store, gas
station)
IP AddressSensor type
The total
day/bump/hours
that we have seen
the device
anywhere
17
Unacast Transparent Visits Attributes
We offer more than just the industry standard. The Unacast Visits dataset digs deeper and
offers unparalleled detail and transparency
Timestamp
Device ID
(Advertising ID) &
Type (IDFA, GAID)
Venue Name &
Address
Latitude/
Longitude
Duration of
Visit
Number & Names
of nearby venues
Number of data
points in a visit
Category of
Venue (i.e.
grocery store, gas
station)
IP AddressSensor type
The total
day/bump/hours
that we have seen
the device
anywhere
Latitude/
Longitude
Duration of
Visit
Number & Names
of nearby venues
Number of data
points in a visit
Category of
Venue (i.e.
grocery store, gas
station)
IP AddressSensor type
The total
day/bump/hours
that we have seen
the device
anywhere
18
Unacast Transparent Visits Attributes
We offer more than just the industry standard. The Unacast Visits dataset digs deeper and
offers unparalleled detail and transparency
Timestamp
Device ID
(Advertising ID) &
Type (IDFA, GAID)
Venue Name &
Address
Unascore
19
A real-world
example
20
From Data Points to Visits
Data points from the Pool
21
From Data Points to Visits
Data points from the Pool
Data point groups
2222
From Data Points to Visits
Data points from the Pool
Data point groups
Visits
Unused bumpgroup
(Home or work?)
Unused bumpgroup
(Traffic light?)
Ad Id: 435
Venue: Academy Sports + Outdoors
Date and time: 19.02.2018 16:45
Duration: 43 min
Ad Id: 435
Venue: AMC CLASSIC
Date and time: 19.02.2018 18:42
Duration: 120 min
Which venue to assign?
23
Venue Assignment in Detail
Data points from the Pool
Data point groups
24
Which venue to assign?
Venue Assignment in Detail
Data points from the Pool
Data point groups
Data point group center
2525
Which venue to assign?
Venue Assignment in Detail
Data points from the Pool
Data point groups
Data point group center
POI distance
Why pay
50x more
than you
need?
26
Kjartan Slette
COO & Co-founder
kjartan.slette@unacast.com
+47 408 72 805

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PlaceConf London 2018: Radical Transparency - Unlocking the Black Box of Location (Unacast)

  • 1. Kjartan Slette COO & Co-Founder, Unacast It’s Time to Think Outside the (Black) Box Better Products and Smarter Decisions with Transparent Location Data
  • 2. «Location data is central and mission critical to the development of the world’s most exciting technologies» Rajeev Misra, SoftBank’s Vision Fund ($93 billion) 2 70%of activity happens in the real world
  • 3. That’s why we built the Real World Graph® 3 70%of activity happens in the real world
  • 4. DATA SOURCES VERTICALS- Beacon QR Raw GPS Wi-Fi Geofence Check-in NFC Research Insurance City planning Marketing Finance Retail analytics Real estate Trans- saction Demo- graphic Survey Behavioral Multiple POI data Telco data Online data Next Now Banking AI/ML Emergency services Smart cities Hospitality E- commerce Transport 4 The location engine We connect multiple signals to multiple verticals through the Real World Graph®
  • 5. DATA SOURCES VERTICALS- Beacon QR Raw GPS Wi-Fi Geofence Check-in NFC Research Insurance City planning Marketing Finance Retail analytics Real estate Trans- saction Demo- graphic Survey Behavioral Multiple POI data Telco data Online data Next Now Banking AI/ML Emergency services Smart cities Hospitality E- commerce Transport 5 The location engine We connect multiple signals to multiple verticals through the Real World Graph®
  • 6. 6 Trust through transparency We have four company values at Unacast And one of the is our internal focus on Transparency
  • 7. Location data is a boxLocation data is a black box Seller Buyer 7
  • 8. 8 Accuracy Our strict cleansing process means you see the most accurate, full view of a device’s activity we’re able to provide. Transparency We believe you should know the origins and quality of our data, so we strive to provide transparency in every step of our process. Context We provide detailed context on our datasets for a 360-degree view of device behavior. The Unacast Difference Our focus on quality means we commit to transparency, accuracy and context in all of our datasets. The result? Unprecedented knowledge and understanding of your audience
  • 9. 9 Transparency We believe you should know the origins and quality of our data, so we strive to provide transparency in every step of our process. No More Black Box Location Data There's no such thing as 100% accuracy in location data, but we believe in being transparent about exactly how we create a dataset, what attributes were used and how confident we are in the correctness of the information Pre-set minimum dwell time Greater Attribution detail Better understanding of data origins At least two data points detected before forming a visit And many more…
  • 10. 10 How We Do It Turning location data points to visits
  • 12. Transparent Data Products from Unacast 12 Pure A lightly filtered stream of location data that we have aggregated from our suppliers and checked for overlapping and fraudulent data This is a good fit if you're a sophisticated platform with the internal capabilities to attach POI, analyze and extract value from data in a raw form Visits A highly-curated database of visits to known points of interest (POIs) This is a good fit if you prefer working with a dataset that has been contextualized and thoroughly vetted for accuracy Home vs Work A database of location data designed to most accurately understand a device’s home or work This is a good fit if you prefer working with a dataset that has been contextualized and thoroughly vetted for accuracy
  • 13. Transparent Data Products from Unacast 13 One-bump Visits Transparency now lets us build one bump visits because we tell our clients exactly what they are getting and trust them to make the best decisions they can
  • 14. 14 Actual snapshot of Visits dataset sample Get to Know the Unacast Visits Dataset Our most refined, customizable dataset offers unprecedented transparency and has been contextualized and thoroughly vetted on accuracy
  • 15. 15 Timestamp Device ID (Advertising ID) & Type (IDFA, GAID) Venue Name & Address Standard Visits Attributes What do most companies provide when they offer a Visits product? It comes down to three basic attributes
  • 16. 16 Unacast Transparent Visits Attributes We offer more than just the industry standard. The Unacast Visits dataset digs deeper and offers unparalleled detail and transparency Timestamp Device ID (Advertising ID) & Type (IDFA, GAID) Venue Name & Address Latitude/ Longitude Duration of Visit Number & Names of nearby venues Number of data points in a visit Category of Venue (i.e. grocery store, gas station) IP AddressSensor type The total day/bump/hours that we have seen the device anywhere
  • 17. 17 Unacast Transparent Visits Attributes We offer more than just the industry standard. The Unacast Visits dataset digs deeper and offers unparalleled detail and transparency Timestamp Device ID (Advertising ID) & Type (IDFA, GAID) Venue Name & Address Latitude/ Longitude Duration of Visit Number & Names of nearby venues Number of data points in a visit Category of Venue (i.e. grocery store, gas station) IP AddressSensor type The total day/bump/hours that we have seen the device anywhere
  • 18. Latitude/ Longitude Duration of Visit Number & Names of nearby venues Number of data points in a visit Category of Venue (i.e. grocery store, gas station) IP AddressSensor type The total day/bump/hours that we have seen the device anywhere 18 Unacast Transparent Visits Attributes We offer more than just the industry standard. The Unacast Visits dataset digs deeper and offers unparalleled detail and transparency Timestamp Device ID (Advertising ID) & Type (IDFA, GAID) Venue Name & Address Unascore
  • 20. 20 From Data Points to Visits Data points from the Pool
  • 21. 21 From Data Points to Visits Data points from the Pool Data point groups
  • 22. 2222 From Data Points to Visits Data points from the Pool Data point groups Visits Unused bumpgroup (Home or work?) Unused bumpgroup (Traffic light?) Ad Id: 435 Venue: Academy Sports + Outdoors Date and time: 19.02.2018 16:45 Duration: 43 min Ad Id: 435 Venue: AMC CLASSIC Date and time: 19.02.2018 18:42 Duration: 120 min
  • 23. Which venue to assign? 23 Venue Assignment in Detail Data points from the Pool Data point groups
  • 24. 24 Which venue to assign? Venue Assignment in Detail Data points from the Pool Data point groups Data point group center
  • 25. 2525 Which venue to assign? Venue Assignment in Detail Data points from the Pool Data point groups Data point group center POI distance Why pay 50x more than you need?
  • 26. 26 Kjartan Slette COO & Co-founder kjartan.slette@unacast.com +47 408 72 805