2. Location helps you understand a moment.
MOVEMENT helps you understand a life.
3. PlaceIQ Builds Audiences with Movement Data
Heads Home
Lifestyle: Gym Visitor
Lifestyle: Health Conscious
Commute Path: Commuter
Job: Finance
Shopping: Fashionista Dining: QSR Restaurant
Lifestyle: Bar Goer
Auto Ownership
CRM Segments
Demographic: Hispanic
Household Income: $100k+
Grabs Dinner & DrinksGoes ShoppingDrives to WorkWorks Out
4. Lifestyle: Gym Visitor
Lifestyle: Health Conscious
Commute Path: Commuter
Job: Finance
Shopping: Fashionista Dining: QSR Restaurant
Lifestyle: Bar Goer
Auto Ownership
CRM Segments
PlaceIQ Builds Audiences with Movement Data
Demographic: Hispanic
Household Income: $100k+
Demographic: HispanicCommute Path: Commuter
Fashionable Hispanic Millennial
Demographic: Hispanic
Commute Path: Commuter
Shopping: Fashionista
Shopping: Fashionista
14. • It’s worthwhile to find outlier days that aren’t saturated
with competitive messaging.
• These micro-holidays can change competitive
marketplaces and upset existing customer habits creating
an opportunity for trial
• These holiday and micro-holiday shifts can occur on
regional levels as well
• Location intelligence at scale lets you observe subtle
changes and connect with shifting customers
When Days
Aren’t Like
Sunday
15. EV ERY DAY I S
L I KE SUNDAY
SPRI NG B REAK! KI NDS OF LOYALT Y
3 Customer Stories We Learn With Location
20. 0
100
200
300
400
500
600
700
800
1/7/17 1/14/17 1/21/17 1/28/17 2/4/17 2/11/17 2/18/17 2/25/17 3/4/17 3/11/17 3/18/17 3/25/17 4/1/17 4/8/17 4/15/17 4/22/17
Buffalo Wild Wings Chick Fil A IHOP Publix
Panama City Beach: Visits, Winners & Losers
Spring Break!
21. 0
20
40
60
80
100
120
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160
180
200
1/7/17 1/14/17 1/21/17 1/28/17 2/4/17 2/11/17 2/18/17 2/25/17 3/4/17 3/11/17 3/18/17 3/25/17 4/1/17 4/8/17 4/15/17 4/22/17
Buffalo Wild Wings Chick Fil A IHOP Publix
Panama City Beach: Visits per Store, Winners & Losers
Spring Break!
22. • In divergent periods – during vacations – we can see what
people seek out and enjoy.
• We can isolate outlier periods and contexts, like vacations
and holidays, to encourage changes in behavior.
• Pickup in local regions or among specific audiences can
measure and quantify success
• Location intelligence at scale lets you identify, learn fron,
message to, and measure to trends
Breaking from
the Norms
23. EV ERY DAY I S
L I KE SUNDAY
SPRI NG B REAK! KI NDS OF LOYALT Y
3 Customer Stories We Learn With Location
25. • Most Kroger shoppers return on a weekly or biweekly basis, over 58%!
• Shoppers use Trader Joe’s & Whole Foods as supplements to their daily grocer, not a routine destination
Loyalty: Is it defined by frequency?
58%
7%
10%
0% 10% 20% 30% 40% 50% 60% 70%
Kroger
Trader Joe's
Whole Foods
Miles
26. • When observed on an average store traffic level, Trader Joe’s and Whole Foods are quite competitive – though
unlike many other niche players in other categories – they still fall behind the market leader.
Loyalty: Is it defined by store traffic?
27. • Despite having a customer base in dense, urban environments, Trader Joe’s and Whole Foods customers are
driving significantly further than Kroger Shoppers – up to 60% further!
Loyalty: Is it defined by how far people travel?
3.42
4.85
5.51
0 1 2 3 4 5 6
Kroger
Trader Joe's
Whole Foods
Miles
28. Distance Traveled: Median
Distance from Home to Store
• Store availability – convenience – matters
more than urban density when it comes to
distance traveled
• Still, distance traveled varies significantly
from store-to-store
2.8 Miles
5.6 Miles
29. • Many factors can be used to define loyalty, but it depends
on the role you fulfill.
• With location intelligence, you can mix different
measured behaviors into a complex, but easy to handle
audience definition for analysis or targeting.
• Location intelligence at scale lets you segment
customers granularly based on observed behaviors.
Define Loyalty
Based on Your
Goals