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Include the hashtag #thinkppc
in your Twitter tweets, or use
the webinar question box to
send us questions.
What is your
estimated
monthly
advertising
budget?
A. $1 - $5000
B. $5,001 - $10,000
C. $10,001 - $50,000
D. $50,001+
We make our clients the
heroes of their organization.
We’re a digital marketing agency with deep
expertise in a narrow-range of high-growth
digital marketing solutions including
paid search, paid social, programmatic
and conversion rate optimization.
We help complex businesses that have multiple
brands, products, locations and/or services
grow and expand their business.
Hanapin also produces:
Why Tracking Offline Conversions matters?
● Welcome to a world with no Pixel
○ POS machines
○ Complex (offline) sales processes
○ Event attendance
Bridging The Online-Offline Gap
● Which Campaign / Ad set / Creative generated the most
successful phone calls?
● What age group / geo / gender / placement performed the
best in terms of generating MQL/SQL?
● What Campaign / Ad set / Creative has generated the highest
amount of in-store sales?
Matching Transactions to Campaign Audience
Your Customer Transactions Your Facebook Campaign Audience
CRM or POS data
Attributed Transactions
Facebook Data Sources
Creating an Offline Event Set
Assigning the Event Set to Ad Accounts
Uploading Offline Event Data
Uploading Offline Event Data
Data Preparation Best Practices
● Upload often (at least every other week)
● Format properly
● Upload as much information as available
● CRM Integrations: Marketo, Square, Salesforce Sales Cloud,
Segment, Zapier.
Reporting and Analyzing Offline Conversions
Optimization and Audience Opportunities
● Optimize for Offline Conversions
○ 50 Conversions / ad set / week
● Optimize for Life Time Value
● Lookalikes based on Offline Conversions
● Retargeting
○ Follow-up campaigns for audiences who have completed
certain offline actions but not the “final” conversion
○ Frequency and Recency
Putting Facebook offline conversion to work
for retail locations
#CustomersNotClicks
In-store commerce is still 85% of retail
Source: Internet Retailer, U.S. Commerce Department
U.S. eCommerce and in-store retail sales, $trillions
#CustomersNotClicks
So how do you drive customers to
your retail stores, and measure the results?
#CustomersNotClicks
20
Segment
and target
Measure
outcomes
Optimize
performance
Cookie (identity) + Pixel (behavior)
Understanding customer behavior
is key to digital marketing
21
How do you
measure visit
behavior?
Can you
attribute results
to advertising?
What result do
you use for
optimization?
Real world
But identity and behavior are much
harder to track in stores
22
Relying on online
signals can be
misleading
Facebook
Instagram
$14,000
$22,000
15,635
12,793
$0.90
$1.72
Ad spend Engagements CPE
23
Facebook
Instagram
$14,000
$22,000
15,635
12,793
$0.90
$1.72
4,593
8,916
Ad spend Engagements CPE Walk-Throughs
$3.06
$2.46
CPW
Relying on online
signals can be
misleading
How can you track visitor behavior in
real-world locations?
#CustomersNotClicks
Know your customers, and discover the invisible ones
Customer walks in Logs into WiFi with email
Detect every visit Discover invisible customers
Bring in new customers
Target store visitor Measure Walk-Through
Performance reporting Optimize performance for Walk-Throughs
27
Activate Facebook
playbook with
in-store behavior
Drive new customers
into store locations
Win back lost customers
prioritized by LTV
Convert visitors into
loyal customers
Over 3x ROAS for 72% of Zenreach
new customer acquisition campaigns
10+MM lost customers every year
~60% of retail customers visit once
and never return
Targeting
● Combine customer lists from in-store and network data to
create lookalike audiences
● Segment based on visit frequency or purchase history
● Suppress current customers to avoid redundancy
Measurement
● Track Walk-Throughs using WiFi signal
● Use transaction data to calculate precise ROAS
What Zenreach has seen
● Opportunity to see performance improvements as high as 7X
based on optimizing channel and target audiences to offline
conversions
Segment customers by visit behavior and use best customers as
seed audience to create high-performing lookalike audiences.
Attract new customers
Targeting
● Use visit data to calculate average visit frequency
● Analyze visit history to identify customers who haven’t visited
in 1-2x average visit frequency, and build target list
● Segment by LTV based on purchases or number of visits
prior to lapse, and weight audience by potential value
Measurement
● Track Walk-Throughs using WiFi signal
● Use transaction data to calculate precise ROAS
What Zenreach has seen
● Lapsed customer campaigns have delivered an average 6:1
ROAS
In many categories, more than 60% of first-time customers never
come back. Bring back customers who have visited but not
returned.
Win back lapsed customers
Targeting
● Use visit data to create cohorts based on visit frequency
● Target customer cohorts who have visited but fall short
of ‘loyal’
Measurement
● Track Walk-Throughs using WiFi signal to monitor visits
● Measure loyalty program sign-ups
What Zenreach has seen
● Customer loyalty and LTV increase with successive visits,
from 37% after first visit to over 63% after third visit
Use visit behavior to target casual customers with loyalty offers.
Nurture casual to loyal
31
Key points to remember
● High-performing digital marketing is driven by customer data
● Real-world retailers can use WiFi as cookie for the offline world
● Seed audiences built from best customers outperform
● Use offline conversions to measure success and optimize
performance
© 2019 Zenreach. Proprietary & Confidential.
This presentation material contains information which is proprietary to Zenreach, Inc.
Information contained herein shall not be disclosed or shared with others, copied, reproduced or otherwise used in whole or in part without written consent.
Q&A
For our webinar
attendees today:
A. I’d like the guide from
Zenreach.
B. I’d like more information
about Hero Conf Austin.
C. All of the above.
D. No, thanks.

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Drive Offline Retail Conversions with Location Data

  • 2. Join the Conversation Include the hashtag #thinkppc in your Twitter tweets, or use the webinar question box to send us questions.
  • 3. What is your estimated monthly advertising budget? A. $1 - $5000 B. $5,001 - $10,000 C. $10,001 - $50,000 D. $50,001+
  • 4. We make our clients the heroes of their organization. We’re a digital marketing agency with deep expertise in a narrow-range of high-growth digital marketing solutions including paid search, paid social, programmatic and conversion rate optimization. We help complex businesses that have multiple brands, products, locations and/or services grow and expand their business. Hanapin also produces:
  • 5. Why Tracking Offline Conversions matters? ● Welcome to a world with no Pixel ○ POS machines ○ Complex (offline) sales processes ○ Event attendance
  • 6. Bridging The Online-Offline Gap ● Which Campaign / Ad set / Creative generated the most successful phone calls? ● What age group / geo / gender / placement performed the best in terms of generating MQL/SQL? ● What Campaign / Ad set / Creative has generated the highest amount of in-store sales?
  • 7. Matching Transactions to Campaign Audience Your Customer Transactions Your Facebook Campaign Audience CRM or POS data Attributed Transactions
  • 10. Assigning the Event Set to Ad Accounts
  • 13. Data Preparation Best Practices ● Upload often (at least every other week) ● Format properly ● Upload as much information as available ● CRM Integrations: Marketo, Square, Salesforce Sales Cloud, Segment, Zapier.
  • 14. Reporting and Analyzing Offline Conversions
  • 15.
  • 16. Optimization and Audience Opportunities ● Optimize for Offline Conversions ○ 50 Conversions / ad set / week ● Optimize for Life Time Value ● Lookalikes based on Offline Conversions ● Retargeting ○ Follow-up campaigns for audiences who have completed certain offline actions but not the “final” conversion ○ Frequency and Recency
  • 17. Putting Facebook offline conversion to work for retail locations #CustomersNotClicks
  • 18. In-store commerce is still 85% of retail Source: Internet Retailer, U.S. Commerce Department U.S. eCommerce and in-store retail sales, $trillions #CustomersNotClicks
  • 19. So how do you drive customers to your retail stores, and measure the results? #CustomersNotClicks
  • 20. 20 Segment and target Measure outcomes Optimize performance Cookie (identity) + Pixel (behavior) Understanding customer behavior is key to digital marketing
  • 21. 21 How do you measure visit behavior? Can you attribute results to advertising? What result do you use for optimization? Real world But identity and behavior are much harder to track in stores
  • 22. 22 Relying on online signals can be misleading Facebook Instagram $14,000 $22,000 15,635 12,793 $0.90 $1.72 Ad spend Engagements CPE
  • 23. 23 Facebook Instagram $14,000 $22,000 15,635 12,793 $0.90 $1.72 4,593 8,916 Ad spend Engagements CPE Walk-Throughs $3.06 $2.46 CPW Relying on online signals can be misleading
  • 24. How can you track visitor behavior in real-world locations? #CustomersNotClicks
  • 25. Know your customers, and discover the invisible ones Customer walks in Logs into WiFi with email Detect every visit Discover invisible customers
  • 26. Bring in new customers Target store visitor Measure Walk-Through Performance reporting Optimize performance for Walk-Throughs
  • 27. 27 Activate Facebook playbook with in-store behavior Drive new customers into store locations Win back lost customers prioritized by LTV Convert visitors into loyal customers Over 3x ROAS for 72% of Zenreach new customer acquisition campaigns 10+MM lost customers every year ~60% of retail customers visit once and never return
  • 28. Targeting ● Combine customer lists from in-store and network data to create lookalike audiences ● Segment based on visit frequency or purchase history ● Suppress current customers to avoid redundancy Measurement ● Track Walk-Throughs using WiFi signal ● Use transaction data to calculate precise ROAS What Zenreach has seen ● Opportunity to see performance improvements as high as 7X based on optimizing channel and target audiences to offline conversions Segment customers by visit behavior and use best customers as seed audience to create high-performing lookalike audiences. Attract new customers
  • 29. Targeting ● Use visit data to calculate average visit frequency ● Analyze visit history to identify customers who haven’t visited in 1-2x average visit frequency, and build target list ● Segment by LTV based on purchases or number of visits prior to lapse, and weight audience by potential value Measurement ● Track Walk-Throughs using WiFi signal ● Use transaction data to calculate precise ROAS What Zenreach has seen ● Lapsed customer campaigns have delivered an average 6:1 ROAS In many categories, more than 60% of first-time customers never come back. Bring back customers who have visited but not returned. Win back lapsed customers
  • 30. Targeting ● Use visit data to create cohorts based on visit frequency ● Target customer cohorts who have visited but fall short of ‘loyal’ Measurement ● Track Walk-Throughs using WiFi signal to monitor visits ● Measure loyalty program sign-ups What Zenreach has seen ● Customer loyalty and LTV increase with successive visits, from 37% after first visit to over 63% after third visit Use visit behavior to target casual customers with loyalty offers. Nurture casual to loyal
  • 31. 31 Key points to remember ● High-performing digital marketing is driven by customer data ● Real-world retailers can use WiFi as cookie for the offline world ● Seed audiences built from best customers outperform ● Use offline conversions to measure success and optimize performance
  • 32. © 2019 Zenreach. Proprietary & Confidential. This presentation material contains information which is proprietary to Zenreach, Inc. Information contained herein shall not be disclosed or shared with others, copied, reproduced or otherwise used in whole or in part without written consent. Q&A
  • 33. For our webinar attendees today: A. I’d like the guide from Zenreach. B. I’d like more information about Hero Conf Austin. C. All of the above. D. No, thanks.