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eROI · PERFORMANCE IS ART · eROI.COM
Hyper-Personalized Email
using Modular Frameworks
AUGUST 17, 2016
@gripsmoke @phil_herbert
2
1. Learn about “hyper-personalization”
in emails.
2. Structure-based vs Content-based
hyper-personalization
3. Data examples and
code-walkthroughs
THREE BIG THINGS WE’LL COVER
@gripsmoke @phil_herbert
Matt Grantski
DEVELOPMENT LEAD
@gripsmoke
Phil Herbert
STRATEGY LEAD
@phil_herbert
3
#LITMUSLIVE
@gripsmoke @phil_herbert
4
1. Segmentation
2. Personalization
3. Hyper-Personalization
DEFINITIONS
*as told through the magic of
Mean Girls GIFs
@gripsmoke @phil_herbert
5
6
1. Segmentation
DEFINITIONS
Division of a subscriber
list into groups of users,
based on common
attributes.
7
8
1. Segmentation
2. Personalization
Using something we know
or assume about a subscriber
to try to make them feel valued.
9
10
1. Segmentation
2. Personalization
3. Hyper-Personalization
Using what you know about
someone to fundamentally change
their email experience
@gripsmoke @phil_herbert
11
1. Good Data
2. Development Resources
3. Long-term strategy
4. A capable ESP
THINGS YOU WILL NEED
@gripsmoke @phil_herbert
1. Good Data
2. Development Resources
3. Long-term strategy
4. A capable ESP
12
Preferences, Product,
and/or Behavioral data.
THINGS YOU WILL NEED
@gripsmoke @phil_herbert
1. Good Data
2. Development Resources
3. Long-term strategy
4. A capable ESP
13
Backend code work: scripting,
queries, or
heavy data processing
THINGS YOU WILL NEED
@gripsmoke @phil_herbert
1. Good Data
2. Development Resources
3. Long-term strategy
4. A capable ESP
14
NOT things you can build on the fly.
Make them future proof
THINGS YOU WILL NEED
@gripsmoke @phil_herbert
1. Good Data
2. Development Resources
3. Long-term strategy
4. A capable ESP
15
...We’ll get to this a bit later
THINGS YOU WILL NEED
@gripsmoke @phil_herbert
16
BUT, IF YOU HAVE...
IF YOU HAVE…
@gripsmoke @phil_herbert
17
BUT, IF YOU HAVE...
IF YOU HAVE…
Well–Defined Segments
Very Little Product Variation
No Development Resources
The Wrong ESP
@gripsmoke @phil_herbert
18
BUT, IF YOU HAVE...
IF YOU HAVE…
Well–Defined Segments
Very Little Product Variation
No Development Resources
The Wrong ESP
YOU DON’T NEED HYPER-PERSONALIZATION
@gripsmoke @phil_herbert
19
Let’s start with a case study.
@gripsmoke @phil_herbert
20
@gripsmoke @phil_herbert
21
CHALLENGES
Different product offerings
Facilities that didn’t participate
Different linking structures
@gripsmoke @phil_herbert
22
SOLUTION
A modular template that allowed
for dynamic product switching
based on facility availability.
@gripsmoke @phil_herbert
23
Modular design works
by adding content
in modules that you
can easily rearrange.
Think of it as
content Legos™
@gripsmoke @phil_herbert
24
iCARE CASE STUDY
New
Email Design
@gripsmoke @phil_herbert
25
iCARE CASE STUDY
New
Module Design
@gripsmoke @phil_herbert
26
IN YOY SITE
TRAFFIC
AFTER TWO MONTHS
⬆ 68%
IN REVENUE
PER SEND
⬆ 42%
@gripsmoke @phil_herbert
27
TWO WAYS TO HYPER-PERSONALIZE
1. Structure-based
2. Content-based
@gripsmoke @phil_herbert
1. Structure-based
2. Content based
28
An email is coded with
all possible modules.
@gripsmoke @phil_herbert
29
TWO WAYS TO HYPER-PERSONALIZE
1. Structure-based
2. Content-based
@gripsmoke @phil_herbert
30
TWO WAYS TO HYPER-PERSONALIZE
1. Structure based
2. Content-based
Using Data to Swap Content
@gripsmoke @phil_herbert
31
TWO WAYS TO HYPER-PERSONALIZE
1. Structure based
2. Content-based
Using Data to Swap Content
BONUS! Backend Data Processing
@gripsmoke @phil_herbert
32
THE BRUNCH INDEX
We picked a
Portland brunch
spot based on
your preferences
and our backend
algorithm.
@gripsmoke @phil_herbert
33
MODULAR DESIGN
Weather dependent
background image tells
you the forecast.
@gripsmoke @phil_herbert
34
MODULAR DESIGN
We show you how well
that choice fits your
stated criteria using a
spider graph.
@gripsmoke @phil_herbert
And now, code examples…
35
@gripsmoke @phil_herbert
36
http://eroi.com/litmus
Fill out the short form to see glimpses
of hyper-personalization.
@gripsmoke @phil_herbert
37
First, an example of how the data
might be structured.
Email Address
(KEY)
Fave Mean
Girl
Email
Interest
Web
Interest
Social
Interest
matt@eroi.com Janis Ian Y Y
phil@eroi.com Regina
George
Y Y Y
@gripsmoke @phil_herbert
We can create structure-based
hyper-personalization through
the use of AMPScript.
38
@gripsmoke @phil_herbert
39
AMPScript. Vintage!
So adorable!
@gripsmoke @phil_herbert
40
Setting up your variables
(Subscriber List)
%%[
VAR @meangirl, @email_i, @web_i, @social_i
SET @meangirl = [Mean Girl]
SET @email_i = [Email Interest]
SET @web_i = [Web Interest]
SET @social_i = [Social Interest]
]%%
@gripsmoke @phil_herbert
41
Setting up your variables
(Data Extension)
1 VAR @meangirl
2 SET @rowcount = RowCount(LookUpRows(“DE
NAME”, “SubscriberKey”, SubscriberKey))
3 IF @rowcount > 0 THEN
SET @rows = LookUpRows("DE NAME",
"SubscriberKey", SubscriberKey)
SET @row = ROW(@rows,1)
SET @meangirl = Field(@row, "Mean Girl")
ENDIF
@gripsmoke @phil_herbert
42
%%[IF @email_i == ‘Y’ THEN]%%
<table><tr><td>Special module about email</td></tr></table>
%%[ENDIF]%%
%%[IF @social_i == ‘Y’ THEN]%%
<table><tr><td>Special module about social</td></tr></table>
%%[ENDIF]%%
AMPScript
@gripsmoke @phil_herbert
43
We can also do it in IBM Marketing
Cloud (née Silverpop) through the
use of relational tables and queries
to fetch our information.
@gripsmoke @phil_herbert
44
We can also do it in IBM Marketing
Cloud (née Silverpop) through the
use of relational tables and queries
to fetch our information.
@gripsmoke @phil_herbert
45
A query can fetch subscriber keys
to match with relational tables,
and dynamically bring that data in.
No need for defining any variables!
@gripsmoke @phil_herbert
46
Query in an email
Seasonal Items:
%%RT_LOOKUP_BEGIN query="/Shared/
seasonal_query" max_rows="1" %%
%%RT_ROW_BEGIN%%
<table><tr><td>
....
</td></tr></table>
%%RT_ROW_END%%
@gripsmoke @phil_herbert
47
When evaluating ESPs for Hyper-Personalization,
you’ll want to look for specific features:
@gripsmoke @phil_herbert
48
When evaluating ESPs for Hyper-Personalization,
you’ll want to look for specific features:
Structure-based
Dynamic logic inside the email
(AMPScript, Queries)
Content-based
Dynamic personalization from data
tables used creatively in the email
@gripsmoke @phil_herbert
49
When evaluating ESPs for Hyper-Personalization,
you’ll want to look for specific features:
Structure-based
Dynamic logic inside the email
(AMPScript, Queries)
Content-based
Dynamic personalization from data
tables used creatively in the email
50
EVALUATING ESPs
How many
permutations
are possible?
Actual Coworker,
Not an Actor ➜
51
@gripsmoke @phil_herbert
52
Thank you!
@eroi
eroi.com/litmus
@gripsmoke @phil_herbert

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Hyper-Personalize Email using Modular Frameworks