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WELDING Online & Offline
A Growth Hack to Leverage Both Worlds
Kshira Saagar
12 Jul, 2016
ksaagar@datalicious.com
AGENDA
Flashback
What is the hack?
How was the hack done?
So What can be done?
Questions
FLASHBACK
4
Share of Media Spend
Share of Time Spent
90%
Shift Away From Offline - TOO FAST TOO SOON?
48%
10%
52%
57% 64%
43%
36%
+ 42%
- 42%
42%
Disparity in
Time vs Money
ONLINE ONLINEOFFLINE OFFLINE
- 7%
+ 7%
7%
Disparity in
Time vs Money
ASIA AU/NZ42 cents per dollar
is spent in the wrong place
7 cents per dollar
is spent in the wrong place
Download the full study
http://data.li/media-index
WHAT
IS THE HACK?
6
100%
Overall Customers come via Welcome Email Clicks
Online campaigns driving offline sales
7
100%
73%
Offline Customers
Overall Customers come via Welcome Email Clicks
27%
Online Customers
Online campaigns driving offline sales
8
100%
73%
Overall Customers come via Welcome Email Clicks
27%
Online Customers
6%
21%Direct First Visit
Online Customers Online Campaign Driven
Online Customers
What is considered
6%
Online campaigns driving offline sales Impact of Online
Marketing Campaigns
Current
21%
1 Online Sale
9
100%
73%
Repeat Visitors + Offline Customers
45%28%
New Visitors + Offline Customers
Offline Customers
Overall Customers come via Welcome Email Clicks
27%
Online Customers
6%
21%Direct First Visit
Online Customers Online Campaign Driven
Online Customers
What is considered
6%
Online campaigns driving offline sales Impact of Online
Marketing Campaigns
Current
21%
1 Online Sale
10
100%
73%
Repeat Visitors + Offline Customers
45%28%
New Visitors + Offline Customers
Offline Customers
Overall Customers come via Welcome Email Clicks
27%
Online Customers
10%
Direct First Visit
Repeat Visitors + Offline Customers
6%
21%Direct First Visit
Online Customers Online Campaign Driven
Online Customers
What is considered
6%
Online campaigns driving offline sales Impact of Online
Marketing Campaigns
Current
21%
1 Online Sale
11
2.7x
100%
73%
Repeat Visitors + Offline Customers
45%28%
New Visitors + Offline Customers
Offline Customers
Overall Customers come via Welcome Email Clicks
27%
Online Customers
10%
Direct First Visit
Repeat Visitors + Offline Customers Online Campaign Driven
Repeat Visitors + Offline Customers
6%
21%Direct First Visit
Online Customers Online Campaign Driven
Online Customers
Impact of Online
Marketing Campaigns
Current
21%
Ideal
56%
21% + 35%
Offline Multiplier
1 Online Sale +
1.7 Offline Sale
# Sales Influenced by Online Campaigns = 2.7 x #Online Sales Influenced by Online Campaigns
35% / 21% = 1.7
What should ALSO be consideredWhat is considered
35%
6%
Online campaigns driving offline sales
HOW
WAS THE HACK DONE?
13
Online campaigns driving offline sales
Email, Login,
etc
14
What was the exact “hack” in GA? Just 3 Simple Steps
Send all your customers a
Welcome Email
Irrespective ofOnline/Offline
Purchase
Step 1 - Set Up Step 2 - Send Step 3 - Analyse
Tag welcome email with proper utm &
offline purchase identifications
Redirect all email link traffic to the main
site and drop the cookie
Set up the USER ID feature in Google
Analytics
In GA, just look for Page URLs and the
referrer content to filter for Offline folks
who come via Welcome emails
Use approximation hacks to
guesstimate the number of offline
purchasers who had researched online
Create User ID level report for these
offline purchasers to look into their past
actions
15
What if more detail is needed? What then?
Media Attribution
Detailed cookie-level stitched paths for offline purchasers
Understand at a creative site level what drove them “away” from online
Also, understand what messaging and time brings them closer to online
Quantify inherent product purchase biases across the known worlds
Accelerate a potential offline conversion faster with right messaging
SO WHAT
CAN BE DONE WITH IT?
17
Channel Level Breakdown
Offline Conversions predominantly have a
greater exposure to Emails followed by
Display Ads.
To encourage offliners to convert online,
messaging around the benefits of an online
purchase can be done via Emails & Display
Channel Breakdown
18
Product Level Breakdown
1 2 3 4 5
Product Breakdown
Product 2 Customers predominantly
research online and eventually purchase
offline
Understand why Product 2 customers are
hesitant to buy online and how to convert
them using Email & Display
19
Offline Converters mostly do their online
research and come across online ads before
the start and after the end of a working day
To target the huge chunk of offline specific
converters of specific products, time the
emails and display retargeting campaigns at
these specific times
Hour of Day Analysis
Hour of Day Breakdown
20
Offline Converters do most of their online
research via their mobile devices - it is
almost 5x more than Online Converters
Ensure the messaging via email and display
retargeting for specific products are mobile-
friendly and mobile display ad investment
needs to increase
Device Type Breakdown
Device Type Breakdown
IF YOU TORTURE THE DATA LONG
ENOUGH….
IT WILL CONFESS!
Ronald Coase & Every Data Scientist
QUESTIONS?
SMART DATA
DRIVEN MARKETING
Kshira Saagar
Head of Insights
ksaagar@datalicious.com

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Growth hackers meetup attribution

  • 1. WELDING Online & Offline A Growth Hack to Leverage Both Worlds Kshira Saagar 12 Jul, 2016 ksaagar@datalicious.com
  • 2. AGENDA Flashback What is the hack? How was the hack done? So What can be done? Questions
  • 4. 4 Share of Media Spend Share of Time Spent 90% Shift Away From Offline - TOO FAST TOO SOON? 48% 10% 52% 57% 64% 43% 36% + 42% - 42% 42% Disparity in Time vs Money ONLINE ONLINEOFFLINE OFFLINE - 7% + 7% 7% Disparity in Time vs Money ASIA AU/NZ42 cents per dollar is spent in the wrong place 7 cents per dollar is spent in the wrong place Download the full study http://data.li/media-index
  • 6. 6 100% Overall Customers come via Welcome Email Clicks Online campaigns driving offline sales
  • 7. 7 100% 73% Offline Customers Overall Customers come via Welcome Email Clicks 27% Online Customers Online campaigns driving offline sales
  • 8. 8 100% 73% Overall Customers come via Welcome Email Clicks 27% Online Customers 6% 21%Direct First Visit Online Customers Online Campaign Driven Online Customers What is considered 6% Online campaigns driving offline sales Impact of Online Marketing Campaigns Current 21% 1 Online Sale
  • 9. 9 100% 73% Repeat Visitors + Offline Customers 45%28% New Visitors + Offline Customers Offline Customers Overall Customers come via Welcome Email Clicks 27% Online Customers 6% 21%Direct First Visit Online Customers Online Campaign Driven Online Customers What is considered 6% Online campaigns driving offline sales Impact of Online Marketing Campaigns Current 21% 1 Online Sale
  • 10. 10 100% 73% Repeat Visitors + Offline Customers 45%28% New Visitors + Offline Customers Offline Customers Overall Customers come via Welcome Email Clicks 27% Online Customers 10% Direct First Visit Repeat Visitors + Offline Customers 6% 21%Direct First Visit Online Customers Online Campaign Driven Online Customers What is considered 6% Online campaigns driving offline sales Impact of Online Marketing Campaigns Current 21% 1 Online Sale
  • 11. 11 2.7x 100% 73% Repeat Visitors + Offline Customers 45%28% New Visitors + Offline Customers Offline Customers Overall Customers come via Welcome Email Clicks 27% Online Customers 10% Direct First Visit Repeat Visitors + Offline Customers Online Campaign Driven Repeat Visitors + Offline Customers 6% 21%Direct First Visit Online Customers Online Campaign Driven Online Customers Impact of Online Marketing Campaigns Current 21% Ideal 56% 21% + 35% Offline Multiplier 1 Online Sale + 1.7 Offline Sale # Sales Influenced by Online Campaigns = 2.7 x #Online Sales Influenced by Online Campaigns 35% / 21% = 1.7 What should ALSO be consideredWhat is considered 35% 6% Online campaigns driving offline sales
  • 13. 13 Online campaigns driving offline sales Email, Login, etc
  • 14. 14 What was the exact “hack” in GA? Just 3 Simple Steps Send all your customers a Welcome Email Irrespective ofOnline/Offline Purchase Step 1 - Set Up Step 2 - Send Step 3 - Analyse Tag welcome email with proper utm & offline purchase identifications Redirect all email link traffic to the main site and drop the cookie Set up the USER ID feature in Google Analytics In GA, just look for Page URLs and the referrer content to filter for Offline folks who come via Welcome emails Use approximation hacks to guesstimate the number of offline purchasers who had researched online Create User ID level report for these offline purchasers to look into their past actions
  • 15. 15 What if more detail is needed? What then? Media Attribution Detailed cookie-level stitched paths for offline purchasers Understand at a creative site level what drove them “away” from online Also, understand what messaging and time brings them closer to online Quantify inherent product purchase biases across the known worlds Accelerate a potential offline conversion faster with right messaging
  • 16. SO WHAT CAN BE DONE WITH IT?
  • 17. 17 Channel Level Breakdown Offline Conversions predominantly have a greater exposure to Emails followed by Display Ads. To encourage offliners to convert online, messaging around the benefits of an online purchase can be done via Emails & Display Channel Breakdown
  • 18. 18 Product Level Breakdown 1 2 3 4 5 Product Breakdown Product 2 Customers predominantly research online and eventually purchase offline Understand why Product 2 customers are hesitant to buy online and how to convert them using Email & Display
  • 19. 19 Offline Converters mostly do their online research and come across online ads before the start and after the end of a working day To target the huge chunk of offline specific converters of specific products, time the emails and display retargeting campaigns at these specific times Hour of Day Analysis Hour of Day Breakdown
  • 20. 20 Offline Converters do most of their online research via their mobile devices - it is almost 5x more than Online Converters Ensure the messaging via email and display retargeting for specific products are mobile- friendly and mobile display ad investment needs to increase Device Type Breakdown Device Type Breakdown
  • 21. IF YOU TORTURE THE DATA LONG ENOUGH…. IT WILL CONFESS! Ronald Coase & Every Data Scientist
  • 23. SMART DATA DRIVEN MARKETING Kshira Saagar Head of Insights ksaagar@datalicious.com