Skyhook provides location data and insights to help companies leverage their first-party data. With over 14 years of experience and 450 patents, Skyhook uses Wi-Fi, cell signals, and IP addresses to accurately locate devices both indoors and outdoors. Skyhook's global location network processes over 400 billion location transactions annually. They provide competitive insights, targeted marketing, customer analytics, and other services by analyzing users' location data and comparing them to their database of over 20 million venues and user profiles.

1. Driving Performance Through Intelligent Location Data
“Companies will lose a great advantage if they do not
leverage their first-party data in an integrated way.”

2. ©2017 Skyhook • Proprietary and Confidential2
14 years of experience + 450 patents.
Use of real signal data to position
devices, trigger actions and build context.
GLOBAL
LOCATION
NETWORK
20 Million +
Actionable Venues
(U.S. only)
175 Million +
Geolocated
Cell Towers
3 Billion +
Geolocated
Wi-Fi Networks
400 Billion+
Location Transactions
Processed Annually
Geolocated
IP Addresses
1 Billion ++
IP
Established in 2003.
Hybrid positioning using A-GNSS, Wi-Fi, Cell
IDs and IP Addresses.
Accurate location in all environments –
indoors, outdoors, urban, suburban and
rural.

3. ©2017 Skyhook • Proprietary and Confidential3
How can Geospatial Insights help you?
Competitive
Insights
Market
Research
Targeted
Marketing
Measurement
and Attribution
Event
Analytics
Customer
Insights
VERIFIED VENUE VISITS

4. ©2017 Skyhook • Proprietary and Confidential4
Segments Index
Restaurant Diner 51%
Family Shopper 48%
Apparel Shopper 51%
QSR Diner 53%
Casual Diner 52%
Fitness Enthusiast 47%
Auto Owner 47%
Budget Shopper 40%
Auto Shopper 43%
Pet Owners 43%
Behavioral Insights
Skyhook utilizes its
database of 20 million
actionable and highly
curated venues and its
proprietary data cleansing
techniques to match
users’ locations to venues.
This process provides
numerous insights into
your customers’
behaviors.
0%
10%
20%
30%
40%
50%
60%
70%
80%
Brand Index

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Persona Name Index
High Income 7.5%
Graduate Degrees 7.0%
College Educated 8.0%
No Children 0.1%
Young Adults 0.8%
Low Income -5.6%
Associates Degree -3.5%
Senior Citizens -3.9%
Lower Middle Income -4.6%
Early Middle Age 0.5%
Upper Middle Income -0.6%
Middle Income -1.3%
Late Middle Age -0.1%
Families with Children -0.6%
No College -0.7%
Demographics Insights
Homing algorithms can
identify the census block
group that your customers
reside in, identify their
demographic attributes,
providing a more complete
picture of who they are and
how they compare to the
rest of the population.
0%
5%
10%
15%
20%
25%
30%
35%
Brand Index

6. ©2017 Skyhook • Proprietary and Confidential6
Where do your customers live?
Using proprietary homing
algorithms, we can show
unique insights into which
states, countries, or census
block group your customers
reside in

7. ©2017 Skyhook • Proprietary and Confidential7
Brand Loyalty Analysis
QSR
Total
Visits
Unique
Visitors
Return
Visitors
Return
Rate
McDonald's 3,639,993 935,887 642,397 69%
Subway 3,229,037 934,067 617,639 66%
Burger King 847,998 422,104 173,535 41%
Wendy's 894,576 423,127 186,273 44%
Taco Bell 919,400 420,767 192,233 46%
Pizza Hut 674,603 347,657 132,762 38%
Domino's Pizza 629,006 324,887 121,028 37%
KFC 480,670 276,454 92,969 34%
Panera Bread 532,843 281,818 101,654 36%
Panda Express 591,590 298,777 119,334 40%
Chick-fil-A 815,717 336,176 162,544 48%
Dairy Queen 434,416 245,169 84,128 34%
Five Guys 361,975 213,486 63,499 30%
Popeye's 500,003 247,153 97,187 39%
Show the loyalty of the
typical customer for a
particular brand or brands.
The data shows how many
unique visits to a venue
occur and how many of
those visitors return.

8. ©2017 Skyhook • Proprietary and Confidential8
Determine how many users
are loyal to one chain over
another, and how many
users frequent other
competitors’ locations. This
type of analysis allow
brands to target specific
users with specific
messaging to increase foot
traffic to their stores.
Brand Loyalty Analysis
48%
12.3%
8.1%
1.7%
8.9%
8.7%
12.4%

9. ©2017 Skyhook • Proprietary and Confidential9
Foot Traffic Analysis
Foot traffic analysis is easy
to visualize. Allowing you to
see the best times to send
your message or the best
locations to expand your
footprint.

10. ©2017 Skyhook • Proprietary and Confidential10
Event Analysis
Gain deeper understanding
of consumers at events.
Learn when they attend and
how the crowd travels.
Identify where they visited
before, during, and after the
event.
2017 Women’s March
Black Friday 2017 Foot Traffic

11. ©2017 Skyhook • Proprietary and Confidential11
Automated Store Monitoring
Skyhook’s patented VenueLock technology
uncovers previously undocumented Amazon
locations and infrastructure.
Skyhook Amazon Signal Detection
Amazon Notifies Customers
of New Pickup Location
Skyhook identifies signal for
new Chicago Pickup locations
How it works
1. Existing known Amazon locations seed the
Skyhook venue database
2. Skyhook identifies signal from the these
facilities.
3. Skyhook finds unpublished Amazon
locations based on signal patterns.
4. New venues are automatically labeled as
categorized based on pattern recognition. 9/21/17 10/12/17

12. ©2017 Skyhook • Proprietary and Confidential12
Attribution Reports help
illuminate ROI based on
measuring the impact of foot
traffic from an advertisement.
We compare exposed users to a
control group that has similar
characteristics.
WHOL E F OOD S
SHO P P ER S
Exposed Users are the number of devices
that were served Whole Foods ads. Engaged
Users are Exposed Users that visited a
Whole Foods within the last 30 days. The
Index is based on the comparison of
Exposed Users to a Control group.
457,984 89,165 8.5%E X P O S E D U S E R S E N G A G E D U S E R S V S I N D E X
Attribution:
Measuring the
Results

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Location and Mobile
Created for Skyhook
Created by Jay Graves

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Thanks
We are passionate about the mobile apps we work on and are eager to work on
projects that make a difference.
Sample of our mobile app clients

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19. ©2017 Skyhook • Proprietary and Confidential19

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THANK YOU | CONTACT INFORMATION
Jay Graves
CTO, POSSIBLE MOBILE
DENVER, CO
jay.graves@possible.com
303.947.0446