Session Name
Speaker Name, Company
Insurance Marketing:
How to Succeed In Era of Disruption
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Dave Edington
Epsilon
SVP, Strategy & Innovation
@Dave_Edington
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
3
Disruption?
2016 SIR_How To Succeed Final
5
Succeed?
2016 SIR_How To Succeed Final
7
What should research
look like now…moving
forward?
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
8
Source LIMRA: Big Data Analytics in Financial Services 2016
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
“The most active
area for big data
and analytics is
marketing.”
8
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
9
• An engagement maturity model
• Moving to deterministic and metronomic
• Conscious Content
Context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
10
• An engagement maturity model
• Moving to deterministic and metronomic
• Conscious Content
Context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Better Engagement Modelsophistication>>>
relevancy >>>
“your intent”
“their intent”
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
relevancy >>>
Default push
marketing:
Program-centric
(brand, channel)
messaging
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
sophistication>>>
“your intent”
“their intent”
Better Engagement Model
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
13
Push
Focus Product
Marketing Batch and blast marketing
Message Single message
Channel Single channel
Analytics Foundational
Technology No CRM, disconnected tools
Depth of customer connection
Level of
CRM
maturity
Marketing maturity building blocks
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
relevancy >>>
Default push
marketing:
Program-centric
(brand, channel)
messaging
Segment-driven
targeting:
Varying message by
targeting ‘like’ groups
of customers
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
sophistication>>>
“your intent”
“their intent”
Better Engagement Model
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
15
Segmented
Push
Focus Product Customer
Marketing Batch and blast marketing Segmentation marketing
Message Single message Single message
Channel Single channel Multiple channels
Analytics Foundational Descriptive
Technology No CRM, disconnected tools Underutilized CRM
Depth of customer connection
Level of
CRM
maturity
Marketing maturity building blocks
16
“Stop Segmenting; Start Individualizing”
Brendan Witcher
17
Stop thinking CX
Start thinking iX
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
relevancy >>>
Default push
marketing:
Program-centric
(brand, channel)
messaging
Segment-driven
targeting:
Varying message by
targeting ‘like’ groups
of customers
Real-time
contextual:
Varying message by
incorporating real-time
cues in context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
sophistication>>>
“your intent”
“their intent”
Better Engagement Model
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
19
Real-Time
Segmented
Push
Focus Product Customer Relationship
Marketing Batch and blast marketing Segmentation marketing
Automated, real-time
marketing
Message Single message Single message Targeted messages
Channel Single channel Multiple channels Cross-channel
Analytics Foundational Descriptive Strategic
Technology No CRM, disconnected tools Underutilized CRM Loyalty and/or CRM platform
Depth of customer connection
Level of
CRM
maturity
Marketing maturity building blocks
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
20
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
20
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
2121
Insurance
+19.0%Increase in quotes
+13.5%Increase in conversion
+13.4%Increase in PLE
+16.5%Increase in LPT
42%Policies/HH
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
22
Source: Forrester April 2016
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
of marketers are
to help
achieve their goals.
63%
prioritizing the
implementation of
technology
investments
22
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
relevancy >>>
Default push
marketing:
Program-centric
(brand, channel)
messaging
Segment-driven
targeting:
Varying message by
targeting ‘like’ groups
of customers
Anticipatory:
Dynamically controlling
messaging by
anticipating needs /
need states
Real-time
contextual:
Varying message by
incorporating real-time
cues in context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
sophistication>>>
“your intent”
“their intent”
Better Engagement Model
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
24
Anticipatory
Real-Time
Segmented
Push
Focus Product Customer Relationship Emotional Context
Marketing Batch and blast marketing Segmentation marketing
Automated, real-time
marketing
1:1 dialogue, anticipatory
marketing
Message Single message Single message Targeted messages 1:1 / Dynamic messages
Channel Single channel Multiple channels Cross-channel Optimized omnichannel
Analytics Foundational Descriptive Strategic Optimized
Technology No CRM, disconnected tools Underutilized CRM Loyalty and/or CRM platform CRM with Loyalty platform
Depth of customer connection
Level of
CRM
maturity
Marketing maturity building blocks
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
relevancy >>>
Default push
marketing:
Program-centric
(brand, channel)
messaging
Segment-driven
targeting:
Varying message by
targeting ‘like’ groups
of customers
Anticipatory:
Dynamically controlling
messaging by
anticipating needs /
need states
Real-time
contextual:
Varying message by
incorporating real-time
cues in context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
sophistication>>>
“your intent”
“their intent”
Better Engagement Model
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
26
360
o
, real-time, actionable consumer profile - for every individual
Who they are
• 120M households; 200M consumer profiles
• Demographic composition: age, gender, HHI, occupation,
• Life-stage (new mover, pre-mover, marriage, baby)
• Automotive (year/make/model, mileage, etc.)
• Neighborhood-level and property data
What they buy
• 86 million purchases per day
• More than Amazon & eBay combined
• Over 4,000 retailer CRM integrations
• SKU level; on & offline
Cross-channel marketing activity
• 42B annual email opens
• Catalog, direct mail, loyalty activity, credit card
applications and survey
• Social media: How I share, what I follow, what I like
What they watch
• In-depth consumer understanding of contextual
video consumption
• 60MM new digital videos tracked monthly
Where they go
• 4B verified lat:long data points a day
• 200 unique points of interest
• Accurate within 10 feet
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
26
What’s their worth
• Value scores
• Wealth scores
• RFM data
• Economic Activity Index
How they spend
• Channel preferences, seasonality, categories, etc.
• 200+ propensity models (i.e. Uninsured health households,
insurance switchers, Medicaid potential qualified HHs, etc.)
• Self-reported purchase behaviors and brand preferences
• Unique plan-to-buy intentions not found anywhere else
What they browse
• 86B interactions a day (2nd only to Google)
• 400 days of browsing, engagement
and download activity
• 2nd largest display network (comScore)
• 170K SDK-integrated mobile apps
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
27
• An engagement maturity model
• Moving to deterministic and metronomic
• Conscious Content
Context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
28
deterministic and metronomic
vs
probabilistic and episodic
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
29
Episodic Metronomic
Probabilistic
Deterministic
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
30
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Marketing technology pillars
Recognition
& reach
Brand
experience
Analytics
& insight
Marketing
operations
ID & profile
Know your
customers through
their lifestyles,
attitudes and
behaviors, and
create the most
complete
individual profile
Find and
communicate with
those customers
where they are
engaging today
Engage them with
individualized
experiences
based on what
you know and
what you are
learning in
real-time
Track the impact
of those
experiences to
optimize your
message or to
adjust for changes
in market
conditions
Assemble a
team that can
align activities
against business
objectives and
execute
flawlessly
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
31
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Marketing technology pillars
Recognition
& reach
Brand
experience
Analytics
& insight
Marketing
operations
ID & profile
Know your
customers through
their lifestyles,
attitudes and
behaviors, and
create the most
complete
individual profile
Find and
communicate with
those customers
where they are
engaging today
Engage them with
individualized
experiences
based on what
you know and
what you are
learning in
real-time
Track the impact
of those
experiences to
optimize your
message or to
adjust for changes
in market
conditions
Assemble a
team that can
align activities
against business
objectives and
execute
flawlessly
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
32
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
33
Thru the arc of the day
6am 12pm 6pm
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
34
If / then decision-tree logic.
So models, business rules, logic and governance…
… that inform marketing automation / decisioning will
increasingly take more precedence.
Journey Maps
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
35
• An engagement maturity model
• Moving to deterministic and metronomic
• Conscious Content
Context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
36
Emotional Need States
Emotional Context
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
37
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Customer Experience Trends for 2016
(The Year of Emotion)
Emotion Arising. Research shows that emotion is the component of
customer experience that has the largest impact on loyalty, but it is also the
area where companies are least adept and often seemingly ignore.
Over the past few years, neuroscience and behavioral science research has
begun to fuel new techniques for affecting human emotions.
In 2016, expect to see a major jump in the number of companies that discuss,
measure, and design for emotion.
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
38
39
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
Conscious Context: Aligning with individual’s current emotional state
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
40
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
40
Detecting Emotions on:
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
41
Source: Forrester April 2016
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
of businesses
consider improving the
72%
customer experience
a top priority.
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
41
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
42
• An engagement maturity model
• Moving to deterministic and metronomic
• Conscious Content
Make progress:
Copyright©Epsilon2016EpsilonDataManagement,LLC.Allrightsreserved.
43
Can Succeed In Era of Disruption
Thank You
Dave Edington
SVP Industry Strategist - Insurance @Dave_Edington
312.752.8482

More Related Content

PDF
Big Data - How Marketing Has Revolutionised - by Sean Singleton
PDF
3 Steps for Measuring ROI of Data Quality for Data-Driven Marketers
PDF
The Data Centric Organization 2018
PPTX
The Big Data Revolution in Retail
PPTX
SUPERWEEK Analytics Presentation
PDF
Moving Forward with Big Data: The Future of Retail Analytics
PDF
How the Game is Changing: Big Data in Retail
PPTX
Pactera Big Data Solutions for Retail
Big Data - How Marketing Has Revolutionised - by Sean Singleton
3 Steps for Measuring ROI of Data Quality for Data-Driven Marketers
The Data Centric Organization 2018
The Big Data Revolution in Retail
SUPERWEEK Analytics Presentation
Moving Forward with Big Data: The Future of Retail Analytics
How the Game is Changing: Big Data in Retail
Pactera Big Data Solutions for Retail

What's hot (20)

PPTX
Rulex big data and analytics
PDF
Big Data and Advertising
PPTX
Omma display 1245 pam horan
PPTX
Big Data – Marketing Challenge or Opportunity?
PDF
2015-16 Global Chief Procurement Officer Survey - CPO
PDF
2015-16 CPO Survey_Final
PDF
Connecting the Customer Data Dots
PPT
Using Social Media to Capture Reference Content From The Other 90% of Your Cu...
PPTX
McKinsey MassTLC Big Data Seminar Keynote - February 28, 2014
PPTX
Using New Forms of Analytics - Slide Deck
PDF
Big Data - an actuarial perspective
PPTX
Use of Big Data Analytics in Advertising
PPTX
Open analytics summit nyc
PDF
Emergence of Big Data in Digital Marketing
PPTX
Adoption of analytics in retail | Retail Analytics
PDF
TechConnectr's Big Data Connection. Digital Marketing KPIs, Targeting, Analy...
PPTX
Elevating customer analytics - how to gain a 720 degree view of your customer
PPTX
Behold, Magical Conversions with Predictive Content
PDF
When_will_Marketers_be_promoted_to_the_boardroom
PPTX
Building an Effective Data Governance Framework
Rulex big data and analytics
Big Data and Advertising
Omma display 1245 pam horan
Big Data – Marketing Challenge or Opportunity?
2015-16 Global Chief Procurement Officer Survey - CPO
2015-16 CPO Survey_Final
Connecting the Customer Data Dots
Using Social Media to Capture Reference Content From The Other 90% of Your Cu...
McKinsey MassTLC Big Data Seminar Keynote - February 28, 2014
Using New Forms of Analytics - Slide Deck
Big Data - an actuarial perspective
Use of Big Data Analytics in Advertising
Open analytics summit nyc
Emergence of Big Data in Digital Marketing
Adoption of analytics in retail | Retail Analytics
TechConnectr's Big Data Connection. Digital Marketing KPIs, Targeting, Analy...
Elevating customer analytics - how to gain a 720 degree view of your customer
Behold, Magical Conversions with Predictive Content
When_will_Marketers_be_promoted_to_the_boardroom
Building an Effective Data Governance Framework
Ad

Viewers also liked (6)

PPTX
Towards a better higher education system by Shady Selim
PPTX
Get your head in the cloud
PPTX
6 Ways Technology is Changing Education for the Better
PPT
Why 21 centrury skills?
PPT
21st Century Skills In The Middle School
PPT
Curriculum Innovation
Towards a better higher education system by Shady Selim
Get your head in the cloud
6 Ways Technology is Changing Education for the Better
Why 21 centrury skills?
21st Century Skills In The Middle School
Curriculum Innovation
Ad

Similar to 2016 SIR_How To Succeed Final (20)

PDF
Final_Epsilon LIMRA presentation_102416
PDF
Why true digital transformation must take place across the entire banking ent...
PDF
Disruptors in Digital Marketing - Ken Vandre
PPT
Accelerating Customer Insights & enhancing Business impact
PPT
The Age Of New Reality Marketing V5.1 Final
PPTX
10 Ways to Leverage the Power of Marketing Automation
PPTX
Real Time at the Right Time: Driving Real-Time Connections with Offline and O...
PPTX
Real Time at the Right Time: Driving Real-Time Connections with Offline and O...
PDF
Six Building Blocks Of Digital Evolution PowerPoint Presentation Slides
PDF
Marketing Science for the VUCA world
PDF
Determine Your Data Strategy
PDF
Minneapolis, Mn - AMA Fall Workshops 2015
PDF
2015 Minneapolis, Mn - Fall AMA Workshops
PDF
The 2016 Digital Marketer
PPTX
The State of Predictive Marketing
PDF
Data-driven Marketing and Sales 2016 Predictions - Lattice Engines
PDF
The Race to Real-Time Marketing
PPT
Presentation to the Worksite Benefits Mania Conference in Las Vegas 29-30 Jul...
PPT
Jim Ouimet: Presentation to the Worksite Benefits Mania Conference in Las Veg...
PDF
Marketing Decision Makers: Stop Thinking Tactics, Start Thinking Campaigns - ...
Final_Epsilon LIMRA presentation_102416
Why true digital transformation must take place across the entire banking ent...
Disruptors in Digital Marketing - Ken Vandre
Accelerating Customer Insights & enhancing Business impact
The Age Of New Reality Marketing V5.1 Final
10 Ways to Leverage the Power of Marketing Automation
Real Time at the Right Time: Driving Real-Time Connections with Offline and O...
Real Time at the Right Time: Driving Real-Time Connections with Offline and O...
Six Building Blocks Of Digital Evolution PowerPoint Presentation Slides
Marketing Science for the VUCA world
Determine Your Data Strategy
Minneapolis, Mn - AMA Fall Workshops 2015
2015 Minneapolis, Mn - Fall AMA Workshops
The 2016 Digital Marketer
The State of Predictive Marketing
Data-driven Marketing and Sales 2016 Predictions - Lattice Engines
The Race to Real-Time Marketing
Presentation to the Worksite Benefits Mania Conference in Las Vegas 29-30 Jul...
Jim Ouimet: Presentation to the Worksite Benefits Mania Conference in Las Veg...
Marketing Decision Makers: Stop Thinking Tactics, Start Thinking Campaigns - ...

2016 SIR_How To Succeed Final