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HERE
LEADING A CUSTOMER-CENTRIC EVOLUTION
Truths (and Misconceptions) of
Transformation
Merkle & Adobe’s Research on Transformation
250 senior level
executives in the US
Have
recently completed
a broad scale
marketing/technology
transformation
initiative
Company revenue
$1 billion or more
Spans industries as
well as B2B & B2C
Who were the respondents?
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Business impact is… Incremental Substantial
Strategy is… Improving what’s in place Challenging what’s in place
Tactics are… Defined upfront Refined as you go
Approach is… One and done Iterative
O P T I M I Z AT I O N T R A N S F O R M AT I O N
Optimization vs Transformation
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
of transformation
initiatives fail70%
#30Percenters
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Plan
Build
Sustain
Fail to Initiate
Plan never proceeded to
development
Fail to Adopt
Is not embraced by
organization, and abandoned
Fail to Launch
Enhancements never launch or
significantly under deliver against
expectations
Risks at Each Stage of the Transformation Process
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Transformation Success Requires…
Planning
Detailed plan and
formal PMO to
oversee work
streams and track
against milestones
Vision
Precise and shared
understanding of
business objective
and desired end
state
Organization
Processes, team in
place and ready to
support and
sustain change.
Team Skills
Team with the
right skill set and
allocated at an
adequate level
Sponsorship
Engagement,
commitment and
financial support of
senior executive to
the initiative
41% 42%
39%
43% 43%
24% 23%
16%
20%
17%
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
Vision Sponsorship Management Execution Operations
Key Competencies for Transformation
Initiative a Success Initiative Not a Success
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
“We don't need to waste time (and money)
on planning, we know what we want to do.”
Getting Planning Right is Critical to Project Success
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Planning: Vision Value Roadmap as the Foundation
Customer Journey Mapping Results
Roadmap
Value
Vision
Roadmap
Value
Vision
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Planning: Vision Value Roadmap as the Foundation
Roadmap
Value
Vision
Roadmap
Value
Vision
Benefit analysis, at actual realization
VALUE LEVERS (AT ACTUAL REALIZATION) 2014 2015 2016 2017 2018 2019 Total
FULFILLMENT(new accounts)
BENEFIT
IMPACT
85% $xx,036 $xx0,994 $3,598,034 $6,360,712 $7,982,265 $8,735,309 $xx,670,349
FULFILLMENT(existing accounts) 85% $13,620 $327,164 $xx07,419 $xx19,224 $xx43,134 $xx01,920 $9,412,480
CROSS-SELL (accounts) 74% $16,856 $xx0,975 $4,002,647 $6,183,391 $8,648,510 $8,933,262 $28,045,640
MIGRATEDCALLS (volume) 55% $4,560 $50,766 $134,155 $xx7,894 $221,911 $xx2,845 $852,132
ATTRITION IMPROVEMENT(existing HH) 74% $xx,274 $xx5,794 $xx46,999 $5,043,113 $xx23,857 $7,048,532 $xx,517,569
NEW CUSTOMERS (accounts) 86% $16,142 $469,572 $1,758,113 $xx08,044 $3,900,386 $xx68,347 $13,520,605
ATTRITION IMPROVEMENT(new accounts) 86% $xx,168 $xx3,040 $xx32,234 $4,653,342 $5,839,632 $6,390,540 $xx,242,956
$xx7,657 $xx08,304 $xx,679,600 $xx,665,721 $xx,159,694 $xx,620,756 $xx2,261,731
VALUE DRIVERS (AT ACTUAL REALIZATION) 2014 2015 2016 2017 2018 2019 Total
NEW CUSTOMER (ACQUISITION + ATTRITION + FULFILLMENT) $xx,347 $2,133,605 $7,988,381 $14,122,098 $xx,722,283 $xx,394,197 $xx,433,911
EXISTING CUSTOMER (CROSS-SELL + FULFILLMENT) $30,476 $xx8,139 $5,210,065 $xx02,615 $11,391,643 $11,935,182 $37,458,120
EXISTING CUSTOMER (ATTRITION) $xx,274 $235,794 $3,346,999 $5,043,113 $xx23,857 $xx48,532 $xx,517,569
CONTACT CENTER COST SAVINGS $4,560 $xx,766 $134,155 $xx7,894 $221,911 $242,845 $852,132
$xx7,657 $xx08,304 $xx,679,600 $xx,665,721 $xx,159,694 $xx,620,756 $xx2,261,731
TIMING IMPACT Weights
NON-FMP COSTS -> 6% 50% 71% 92% 100% 110% 40%
FMP -> 0% 10% 65% 100% 110% 120% 60%
NET -> 2% 26% 67% 97% 106% 116%
CROSS-SELL -> 1% 7% 75% 95% 112% 116%
BENEFITS 2014 2015 2016 2017 2018 2019 Total
FULFILLMENT(NEW + EXISTING)
BENEFIT
IMPACT
85% $xx,656 $xx88,157 $xx05,452 $8,479,936 $xx,725,399 $xx,737,229 $37,082,829
NEW CUSTOMER (ACQUISITION + ATTRITION) 86% $40,311 $1,172,611 $4,390,347 $xx61,387 $9,740,018 $10,658,888 $xx,763,561
EXISTING CUSTOMER (CROSS-SELL + ATTRITION) 74% $xx,130 $xx6,769 $xx49,646 $11,226,504 $xx,472,366 $xx,981,794 $50,563,209
CONTACT CENTER COST SAVINGS 55% $4,560 $50,766 $134,155 $xx7,894 $221,911 $242,845 $xx2,132
$xx7,657 $xx08,304 $xx,679,600 $xx,665,721 $xx,159,694 $xx,620,756 $xx,261,731
Recommendations - Mapping of recommendations based on effort and business impact
10
9
8
7
6
5
4
3
2
1
10987654321
LevelofImpact
Level of Effort
Quick Wins
Longer Term
The recommendations are plotted according to the prioritization exercise to determine potential quick win candidates
ab
c
d
e
f g
h
i
jk
a
b
c
d
e
a b
c
a
b
c
d
a
b
c
Ensure Data ConsistencyEstablish Data
Governance
Guidelines
Define Customer
Profile
Improve
Data Capture
& Integration
Centralized
Marketing
System
Determine DMP
Technology
Integrate
Digital Data
into DMP
Syndicate Data
From DMP Across
Digital Media
Consistent
Consumer Profile
Integrate Digital Data into
Event Stream
Increase Use of
3rd Party Data
Analytics &
Insights
Environment
Cross Media
Measurement
System
Media Scenario
Planning
Data
Visualization &
Reporting
Co-Marketing
Environments
Improve Visibility Over Current
Decision Management
Expand Rule Based Decisions
Across Channels & Media
Content
Management
Tool
Personalization
Across Media
Utilize
Addressable
Platforms
Expand Use of
Display Media
Site
Personalization
Change Content
Approval Process
Technology
Consistency
Across Brands
Centralized
Marketing
Technology
Ownership
25
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Planning: Vision Value Roadmap as the Foundation
Roadmap
Value
Vision
Roadmap
Value
Vision
Recommendations - Future state conceptual technology blueprint (Example 1)
© 2014 Merkle. All Rights Reserved. Confidential and Proprietary. 10
Fifth Third – Hadoop Sources
Media Execution (Experiential/Advertising)
Channel Execution (Commerce/Service/Sales)
Identity Management
Decision Platform
Data Management Platform (DMP)
Foundational Marketing Platform
· Full view of customer including longitudinal event
stream and digital persona (anonymous/semi-
anonymous) linked to a known individual
· Supports full lifecycle of an individual (Prospect &
Customer)
· Inclusive of all relevant and granular sales and
marketing data
· Single, conformed tool agnostic dimensional data
model
· Dimensions, Facts, and Aggregates supporting
key subject areas
· Central rationalization of permission, preferences,
and suppressions
· Marketing metadata and cost
· Supports Business Intelligence and Campaign
Management
Marketing Database
Core Marketing
Digital
Analytics Management Platform
Application
Integration
360 Known 360 Unknown Segment Profile
Decision Engine
(PEGA PRPC)
Personalization Engine
Web Services &
API’s
DSP
Syndication
Meassaging
Trigger
Forecasting/Simulation
· Media Mix Optimizaiton
· Scenario Planning
Response Attribution
· Advanced Attribution
Methods
· Attribution Engine
Advanced Analytics
· Analytic Models &
Segmentation
· Automated Scoring
Framework & Metadata
Analytics
Response
Attribution
Media Mix
Business Intelligence
· Reporting
· Visualization
· Dashboards
Real-time Data Management
· Enables 360 customer profile to organization
· Relevant Atomic level customer and marketing
data
· Synchronized with subset of Marketing Database
to ensure accuracy of matching/keys
· Informs Decisioning in real-time
· Captures real-time transactions, behavior, and
interaction details required for triggered
communications
Audience Management
· Data Exchange
Integration
· Audience Syndication
DemandSlidePlatformPlatformAudiencesContentManagementDigitalAssetManagementDigitalAnalytics
Event Managment
· Identity Resolution and XREF
Management
· Event Stream Parsing and
Rationalization
Digital Data Integration (DDI)
· Cookie/Session/Pixel Linking and
Aggregation
· Anonymous/Known and On-line/Off-
line Linking
Insight/Action
Data
Data to Drive Decisions
and Capture
Insight
Audience
Profile
Identity
Audience
Real-time
Response / Disposition Data
Audiences
Tags
Data
Profile
Decisions
Identity
Data
Data
Data
Scoring History
Metadata
Insights
Data
Prospect
Event Stream
Score
Data
Scores
Data
Profile
Events
Data
Real-time
Real-time
Real-time
Batch / Real-time
Batch
Batch
Batch
Batch
Real-time
Real-time
Campaigns
Leads
Real-Time/Batch
Preference
Management
Real-time CDI
Profile/Offer
Lookup
Tag Management
DSP
Mobile
Social
Web
Near-time&IncrementalBatchProcessing
Operational
Inquiries, Referrals, and
Transactions
Products, Accounts,
Customers, and Services
Quotes and Applications
Campaigns
Web and Mobile
Direct Mail and Email
Call Center, Branch, and
ATM
Digital
Email Activity and
Dispositions
Search and Display
Responses/Impressions
Social Profile and Activity
Web and Mobile Profile
and Activity
Lists & Overlays
Prospect Files & Vertical
Lists
Data Overlays & Appends
Suppressions, Segments,
and Scores
Other
Market/Consumer
Research
Mass Media Buy Activity
Econometric Data
Consumer
Checking
Savings
CDs
IRAs
Money Market
Wealth
Management
Investment
Services
Credit Cards
Mortgages
Auto Loan
Home Equity
Loan
Student Load
Personal
Installment
Load
Personal
Lines of
Credit
Protection
Services
Life
Insurance
Home
Insurance
Auto
Insurance
Credit Risk
Management
Institutional
Services
On-line
Banking
On-line Bill
Pay
Direct
Deposit
Check Card Rewards
Mobile
Banking
Premium
Banking
ECIF
EDW
UDS
ACAP
TSYS
BCRD
FSER
ALS
Zoot
FNA
IB
SBA
TDEP
GPR
AGL
ACE
Unica
Exact Target
Eloqua
ATG
CAMP
Chordiant
Phoenix (ATM)
Genesis (IVR)
Aspect Dialer
MGIC, Argus
S2S Acces DB
Dial America
Exact Target/Eloqua
Operational Email Systems
Seach Partners (Spark)
Display Partners (DART)
Landing Pages (Harte Hanks/IT)
Monetize and 53 Mobile (Mobile
Data Mart)
Preference Center (TBD)
Digital Analytics (TBD)
CoTweet (Social Activity)
Harte Hanks
Agus
Acxiom
IXI
Central Opt Out DB
DSG Customer Analytics
Preference Center (TBD)
Media Buying Partners
(Segment Level)
Internal Market Research
External Market Research
Integration Layer
Transformation
Data Quality
Normalization
(ODS Centric)
Dimensionalized
(Star Schema
Centric)
Business
Rules
Technical
Subject
Area
Loads
ETL-Real-time&BatchProcessing
Mobile Application
Optimize
· Personalization
· Targeted Offers
· Product/Service
Recommendations
· Remarketing
Collect
· Viewing history
· Contact History
· Site Activity
· Permission/Preference
Identify
· Latitude/
Longitude
· Device ID
· Email Address
· Customer ID
Inbound Call / Outbound
Optimize
· Preference History
· Purchase History
· Offer History
· Offer Management
· Call Routing
· Knowledge Bank
· Chat Response
Collect
· Contact History
· Call Center Activities
· Permission/Preference
· Offer Disposition
Identify
· 53 Account Number
· E-mail
· Name and Address
· Phone Number
53.com & Internet Banking
Optimize
· Personalization
· Targeted Offers
· Product / Service
Recommendations
· Remarketing
· Forum / FAQ
· Online Application
· eDocs with Deep
Linking
Collect
· Site Activity
· Landing Page Activity
· Content Impressions
· Permission/Preference
· eSignature
· Click to Chat / Call
· Issue / Support / Self
Service
· eDocuments
Identify
· Authenticated UID
· Session, Cookie, IP
Address
· Device ID
· Customer ID
· Email
· Name & Address
· Phone
Branch
Email – EXACT TARGET & ELOQUA
Optimize
· Personalization/
Landing Pages
· Targeted Offers Based
on Web Behavior
· Recommendations
Collect
· Sent
· Opens
· Clicks
· Forwards
· Spam/Opt Outs
Identify
· Phone
· Email Address
· Address
· STMS Account
Number
Display - SPARK
Optimize
· Retargeting
· Look-alike Models
· 3rd
Party Segments
· Direct Match List
Collect
· Ad Impressions
· Clicks
· Media Activities
· Profile
Identify
· Cookie
· IP Address
· Tracking Pixal
Social – Hearsey or Sprinklr
Optimize
· Retargeting
· Look-alike Models
· 3rd
Party Segments
· Direct Match List
Collect
· FB Parent-Child
Relationships
· Application Usage
· Ad Impressions
Identify
· User ID
· Email Address
· Zip Code
· Cookie
Search – SPARK & LEO BURNETT
Optimize
· Keyword Bidding by
Segment
· Creative Weights
· Remarketing
Collect
· Search Redirects
· Search Landing Page
Activity
· Key words
Identify
· Cookie
· IP Address
· Tracking Pixal
Direct Mail – HARTE HANKS
Optimize
· Personalization
· Targeted Offers
· Recommendations
Data Collection
· Contact History
Identity Attributes
· Name & Address
· Customer Number
ATM
Workflow
Unica Campaign
Email Service
Provider
Content/Asset
ManagementETL and Workflow
Management
· Data loading and
syncing
· Automation & Job
Control
· File Management
· Data Audit, Monitor &
Alert
Process Metadata &
Data Health
· Central identity store supports all
customer recognition
· Individual, ECIF Customer,
Household, Account Identity Map
and History
· On-line and Off-line
· Anonymous to Known
Recognition Database
Customer Data Integration (CDI)
· Parsing, Hygiene, Standardization
· Address Enrichment/NCOA
· 3rd
Party Match ID
· Digital Data Integration (DDI)
· Cookie/Session/Pixel Linking/
Aggregation
· Matching (Hard Key & Fuzzy Logic)
· Identity Resolution and XREF
Management
· Event Stream Management
· Channel and Media Event
Rationalization
CDI
Known
DDI
Anon.
DDI
Data
Exg.
Search
Insight/ Identity / Event Stream
Real-time
Responsition & Disposition Data
Insight
· Next best action
· Product
recommendation
· Available offers
· Profle/Demos
· Personalization
· Segment/Value
· Event Trigger
Data
· Cookie/IP, ECIF ID, Name/
Address, Device ID
· Events, Behavior, Session
· Disposition, Interests
Audience
Platforms
Hadoop Platform
Hadoop
 Pre-Processing – using big data capabilities as a “landing zone” before determining
what data should be moved to the data warehouse.
 Data Exploration – using big data capabilities to explore and discover new high value
data from massive amounts of raw data and free up the data warehouse for more
structured, deep analytics.
 Offloading – moving infrequently accessed data from data warehouses into
enterprise-grade Hadoop allows organizations the ability to store transaction-level data
for longer periods of time.
Digital Channel Event Stream
Real-Time / Batch
Optimize
· Preferences
· Purchase History
· Offer History
· Offer Management
Collect
· Contact History
· Call Center Activities
· Permission/Preference
· Offer Disposition
Identify
· 53 Account Number
· E-mail
· Name and Address
· Phone Number
Optimize
· Personalization
· Targeted Offers
· Product / Service
Recommendations
· Remarketing
Collect
· Visit
· Transaction
· Ad Impression
Identify
· 53 Account NumberKnowledge
Bank
Staging Exploration Event Streaming
Execution Systems
ACH
WIRE TX
CHECK IMAGE
AUTO BILL PAY
SUPERMICR
RAFT / TPP
Product Execution Systems
UDS
AFS
ALS
XAA
FINDUR
BANKTRADE
ACBS
NFS
TSYS
INFOLEASE
TRUST
FSER
GENERAL LEDGER
BUSINESS SOLUTIONS
CRM
CCAS
MDM
RAROC
FNA
CML PORTAL
IntegrationLayer
· Perform discrete transactions on
behalf of a customer (deposits,
funds, transfer, withdrawals)
· System of record for some
financial service or product-level
attributes
· Authoritative system of record for
client product or service and it’s
current state (balance)
· System of record for most product
or service specific or
characteristics (rate, term)
· Primarily internal-facing business
systems that create or derive
information about a customer or
transaction that has relevancy
elsewhere in the Organization
(RAROC Score, Service Tier, etc)
Fifth Third Sources & Extracts
Unica Detect
Upgrade
FileNet
Recommendations - Mapping of recommendations based on effort and business impact
10
9
8
7
6
5
4
3
2
1
10987654321
LevelofImpact
Level of Effort
Quick Wins
Longer Term
The recommendations are plotted according to the prioritization exercise to determine potential quick win candidates
ab
c
d
e
f g
h
i
jk
a
b
c
d
e
a b
c
a
b
c
d
a
b
c
Ensure Data ConsistencyEstablish Data
Governance
Guidelines
Define Customer
Profile
Improve
Data Capture
& Integration
Centralized
Marketing
System
Determine DMP
Technology
Integrate
Digital Data
into DMP
Syndicate Data
From DMP Across
Digital Media
Consistent
Consumer Profile
Integrate Digital Data into
Event Stream
Increase Use of
3rd Party Data
Analytics &
Insights
Environment
Cross Media
Measurement
System
Media Scenario
Planning
Data
Visualization &
Reporting
Co-Marketing
Environments
Improve Visibility Over Current
Decision Management
Expand Rule Based Decisions
Across Channels & Media
Content
Management
Tool
Personalization
Across Media
Utilize
Addressable
Platforms
Expand Use of
Display Media
Site
Personalization
Change Content
Approval Process
Technology
Consistency
Across Brands
Centralized
Marketing
Technology
Ownership
25
Initiative Description Objective
The management and association of identity attributes across all channels and media.
The creation of a longitudinal view of the experience a consumer has with Fifth Third
Bank (the consumer event stream)
• To enable accurate marketing to a customer/prospect with an intelligent solution to
identity management and association of identity attributes across all channels and media.
• Provide the ability to enhance the marketing platform with the organization of customer
event stream information in a chronological order of events for an individual, account,
and household.
Benefits & Pain Points Remediation Systems Impacted / Replaced
• The ability to scale and address digital event and activity data, as well as anonymous
and known prospect universe
• Increase the ROI of marketing programs by accurately identifying customers and
prospects and reducing the costs involved with additional data hygiene and
duplication
• Marketing Data Mart (MDM)
• ECIF
• EDW
• Foundational Marketing Platform (To be developed)
• Webtrends
• Akamai  Video Server
Estimated Costs and Duration – Cash View
• Total of 7 months across multiple phases (for onetime costs)
• One Time Cost: $500k
• Ongoing Cost: $416K until 2019
Risks, Assumptions, Dependencies
• Data availability and timeliness
• Client staffing availability and Skillset
• Business rules definitions
• Hadoop: Consideration for other data streams that haven’t been included (chat histories, etc.)
• Hadoop: Consistent follow on work for Merkle to sustain additional feeds
Identity Management Platform
Initiative Description Objective
The management and association of identity attributes across all channels and media.
The creation of a longitudinal view of the experience a consumer has with Fifth Third
Bank (the consumer event stream)
• To enable accurate marketing to a customer/prospect with an intelligent solution to
identity management and association of identity attributes across all channels and media.
• Provide the ability to enhance the marketing platform with the organization of customer
event stream information in a chronological order of events for an individual, account,
and household.
Benefits & Pain Points Remediation Systems Impacted / Replaced
• The ability to scale and address digital event and activity data, as well as anonymous
and known prospect universe
• Increase the ROI of marketing programs by accurately identifying customers and
prospects and reducing the costs involved with additional data hygiene and
duplication
• Marketing Data Mart (MDM)
• ECIF
• EDW
• Foundational Marketing Platform (To be developed)
• Webtrends
• Akamai  Video Server
Estimated Costs and Duration – Cash View
• Total of 7 months across multiple phases (for onetime costs)
• One Time Cost: $500k
• Ongoing Cost: $416K until 2019
Risks, Assumptions, Dependencies
• Data availability and timeliness
• Client staffing availability and Skillset
• Business rules definitions
• Hadoop: Consideration for other data streams that haven’t been included (chat histories, etc.)
• Hadoop: Consistent follow on work for Merkle to sustain additional feeds
Identity Management Platform
Initiative Description Objective
The management and association of identity attributes across all channels and media.
The creation of a longitudinal view of the experience a consumer has with Fifth Third
Bank (the consumer event stream)
• To enable accurate marketing to a customer/prospect with an intelligent solution to
identity management and association of identity attributes across all channels and media.
• Provide the ability to enhance the marketing platform with the organization of customer
event stream information in a chronological order of events for an individual, account,
and household.
Benefits & Pain Points Remediation Systems Impacted / Replaced
• The ability to scale and address digital event and activity data, as well as anonymous
and known prospect universe
• Increase the ROI of marketing programs by accurately identifying customers and
prospects and reducing the costs involved with additional data hygiene and
duplication
• Marketing Data Mart (MDM)
• ECIF
• EDW
• Foundational Marketing Platform (To be developed)
• Webtrends
• Akamai  Video Server
Estimated Costs and Duration – Cash View
• Total of 7 months across multiple phases (for onetime costs)
• One Time Cost: $500k
• Ongoing Cost: $416K until 2019
Risks, Assumptions, Dependencies
• Data availability and timeliness
• Client staffing availability and Skillset
• Business rules definitions
• Hadoop: Consideration for other data streams that haven’t been included (chat histories, etc.)
• Hadoop: Consistent follow on work for Merkle to sustain additional feeds
Identity Management Platform
Roadmap -Multi-phase Future State Enablement Roadmap
Addressable Messaging and Targeting
Consumer Analytics and Insights
Comprehensive Display Program
Decision Management
Cross-Media Measurement
Technology Alignment, Roles, Responsibilities, and Ownership
Media Scenario Planning
Content Approval Refinements
Data Quality
Improve Data Capture and Integration
Identity
Insights
Personalization
Channel Execution
Content Management
Quick Wins
3-6 Months
Phase 1: Foundation
12 Months(FY ’16)
Phase 2: Activation
12 Months(FY ’17)
Phase 3: Expansion
12-18 Months(FY ‘18-’19)
Phase 4: Efficiency
12-18 Months(FY ‘19-’20)
Ongoing
FY ’20-on
Operating Model
Foundational Marketing Database
Data Management Platform and Integrations
Data Visualization
Co-Marketing Platform (Wholesale & Affiliates)
Omni-Channel Personalization Capabilities
Site Personalization and Testing
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
“Getting the technology right will be the
hardest part.”
Operationalizing the Changes to Sustain Transformation
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Organizational Readiness: Organizational Strategy
» Organization structure to deliver
integrated programs
‣ Does your current organization
structure allow you to easily
collaborate and coordinate across
product/business unit silos to deliver a
customer- (vs. product-) centric
program?
‣ If not, is there a way to accomplish
that without a huge “re-org” effort?
Organizational Readiness: Operating Model
» Mapping current state
» Identifying gaps, pain points
» Defining future state flow
» Provide details about each step
including input, outcome, key
players, skill set
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
Organizational Readiness: Roles & Responsibilities
» List of required role
based on defined process
» Indicate RACI for each of the
functional roles
» Develop position description
for each role
» Map roles and staffing level
against current team
Learn all of the truths and misconceptions of transformation in Merkle’s
Customer-Centric Transformation white paper. Click here to read the full report.
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Customer-Centric Transformation

  • 1. 1 © 2016 Merkle. All Rights Reserved. Confidential PLACE IMAGE HERE LEADING A CUSTOMER-CENTRIC EVOLUTION
  • 2. Truths (and Misconceptions) of Transformation
  • 3. Merkle & Adobe’s Research on Transformation 250 senior level executives in the US Have recently completed a broad scale marketing/technology transformation initiative Company revenue $1 billion or more Spans industries as well as B2B & B2C Who were the respondents? Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 4. Business impact is… Incremental Substantial Strategy is… Improving what’s in place Challenging what’s in place Tactics are… Defined upfront Refined as you go Approach is… One and done Iterative O P T I M I Z AT I O N T R A N S F O R M AT I O N Optimization vs Transformation Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 5. of transformation initiatives fail70% #30Percenters Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 6. Plan Build Sustain Fail to Initiate Plan never proceeded to development Fail to Adopt Is not embraced by organization, and abandoned Fail to Launch Enhancements never launch or significantly under deliver against expectations Risks at Each Stage of the Transformation Process Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 7. Transformation Success Requires… Planning Detailed plan and formal PMO to oversee work streams and track against milestones Vision Precise and shared understanding of business objective and desired end state Organization Processes, team in place and ready to support and sustain change. Team Skills Team with the right skill set and allocated at an adequate level Sponsorship Engagement, commitment and financial support of senior executive to the initiative 41% 42% 39% 43% 43% 24% 23% 16% 20% 17% 0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% Vision Sponsorship Management Execution Operations Key Competencies for Transformation Initiative a Success Initiative Not a Success Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 8. “We don't need to waste time (and money) on planning, we know what we want to do.”
  • 9. Getting Planning Right is Critical to Project Success Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 10. Planning: Vision Value Roadmap as the Foundation Customer Journey Mapping Results Roadmap Value Vision Roadmap Value Vision Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 11. Planning: Vision Value Roadmap as the Foundation Roadmap Value Vision Roadmap Value Vision Benefit analysis, at actual realization VALUE LEVERS (AT ACTUAL REALIZATION) 2014 2015 2016 2017 2018 2019 Total FULFILLMENT(new accounts) BENEFIT IMPACT 85% $xx,036 $xx0,994 $3,598,034 $6,360,712 $7,982,265 $8,735,309 $xx,670,349 FULFILLMENT(existing accounts) 85% $13,620 $327,164 $xx07,419 $xx19,224 $xx43,134 $xx01,920 $9,412,480 CROSS-SELL (accounts) 74% $16,856 $xx0,975 $4,002,647 $6,183,391 $8,648,510 $8,933,262 $28,045,640 MIGRATEDCALLS (volume) 55% $4,560 $50,766 $134,155 $xx7,894 $221,911 $xx2,845 $852,132 ATTRITION IMPROVEMENT(existing HH) 74% $xx,274 $xx5,794 $xx46,999 $5,043,113 $xx23,857 $7,048,532 $xx,517,569 NEW CUSTOMERS (accounts) 86% $16,142 $469,572 $1,758,113 $xx08,044 $3,900,386 $xx68,347 $13,520,605 ATTRITION IMPROVEMENT(new accounts) 86% $xx,168 $xx3,040 $xx32,234 $4,653,342 $5,839,632 $6,390,540 $xx,242,956 $xx7,657 $xx08,304 $xx,679,600 $xx,665,721 $xx,159,694 $xx,620,756 $xx2,261,731 VALUE DRIVERS (AT ACTUAL REALIZATION) 2014 2015 2016 2017 2018 2019 Total NEW CUSTOMER (ACQUISITION + ATTRITION + FULFILLMENT) $xx,347 $2,133,605 $7,988,381 $14,122,098 $xx,722,283 $xx,394,197 $xx,433,911 EXISTING CUSTOMER (CROSS-SELL + FULFILLMENT) $30,476 $xx8,139 $5,210,065 $xx02,615 $11,391,643 $11,935,182 $37,458,120 EXISTING CUSTOMER (ATTRITION) $xx,274 $235,794 $3,346,999 $5,043,113 $xx23,857 $xx48,532 $xx,517,569 CONTACT CENTER COST SAVINGS $4,560 $xx,766 $134,155 $xx7,894 $221,911 $242,845 $852,132 $xx7,657 $xx08,304 $xx,679,600 $xx,665,721 $xx,159,694 $xx,620,756 $xx2,261,731 TIMING IMPACT Weights NON-FMP COSTS -> 6% 50% 71% 92% 100% 110% 40% FMP -> 0% 10% 65% 100% 110% 120% 60% NET -> 2% 26% 67% 97% 106% 116% CROSS-SELL -> 1% 7% 75% 95% 112% 116% BENEFITS 2014 2015 2016 2017 2018 2019 Total FULFILLMENT(NEW + EXISTING) BENEFIT IMPACT 85% $xx,656 $xx88,157 $xx05,452 $8,479,936 $xx,725,399 $xx,737,229 $37,082,829 NEW CUSTOMER (ACQUISITION + ATTRITION) 86% $40,311 $1,172,611 $4,390,347 $xx61,387 $9,740,018 $10,658,888 $xx,763,561 EXISTING CUSTOMER (CROSS-SELL + ATTRITION) 74% $xx,130 $xx6,769 $xx49,646 $11,226,504 $xx,472,366 $xx,981,794 $50,563,209 CONTACT CENTER COST SAVINGS 55% $4,560 $50,766 $134,155 $xx7,894 $221,911 $242,845 $xx2,132 $xx7,657 $xx08,304 $xx,679,600 $xx,665,721 $xx,159,694 $xx,620,756 $xx,261,731 Recommendations - Mapping of recommendations based on effort and business impact 10 9 8 7 6 5 4 3 2 1 10987654321 LevelofImpact Level of Effort Quick Wins Longer Term The recommendations are plotted according to the prioritization exercise to determine potential quick win candidates ab c d e f g h i jk a b c d e a b c a b c d a b c Ensure Data ConsistencyEstablish Data Governance Guidelines Define Customer Profile Improve Data Capture & Integration Centralized Marketing System Determine DMP Technology Integrate Digital Data into DMP Syndicate Data From DMP Across Digital Media Consistent Consumer Profile Integrate Digital Data into Event Stream Increase Use of 3rd Party Data Analytics & Insights Environment Cross Media Measurement System Media Scenario Planning Data Visualization & Reporting Co-Marketing Environments Improve Visibility Over Current Decision Management Expand Rule Based Decisions Across Channels & Media Content Management Tool Personalization Across Media Utilize Addressable Platforms Expand Use of Display Media Site Personalization Change Content Approval Process Technology Consistency Across Brands Centralized Marketing Technology Ownership 25 Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 12. Planning: Vision Value Roadmap as the Foundation Roadmap Value Vision Roadmap Value Vision Recommendations - Future state conceptual technology blueprint (Example 1) © 2014 Merkle. All Rights Reserved. Confidential and Proprietary. 10 Fifth Third – Hadoop Sources Media Execution (Experiential/Advertising) Channel Execution (Commerce/Service/Sales) Identity Management Decision Platform Data Management Platform (DMP) Foundational Marketing Platform · Full view of customer including longitudinal event stream and digital persona (anonymous/semi- anonymous) linked to a known individual · Supports full lifecycle of an individual (Prospect & Customer) · Inclusive of all relevant and granular sales and marketing data · Single, conformed tool agnostic dimensional data model · Dimensions, Facts, and Aggregates supporting key subject areas · Central rationalization of permission, preferences, and suppressions · Marketing metadata and cost · Supports Business Intelligence and Campaign Management Marketing Database Core Marketing Digital Analytics Management Platform Application Integration 360 Known 360 Unknown Segment Profile Decision Engine (PEGA PRPC) Personalization Engine Web Services & API’s DSP Syndication Meassaging Trigger Forecasting/Simulation · Media Mix Optimizaiton · Scenario Planning Response Attribution · Advanced Attribution Methods · Attribution Engine Advanced Analytics · Analytic Models & Segmentation · Automated Scoring Framework & Metadata Analytics Response Attribution Media Mix Business Intelligence · Reporting · Visualization · Dashboards Real-time Data Management · Enables 360 customer profile to organization · Relevant Atomic level customer and marketing data · Synchronized with subset of Marketing Database to ensure accuracy of matching/keys · Informs Decisioning in real-time · Captures real-time transactions, behavior, and interaction details required for triggered communications Audience Management · Data Exchange Integration · Audience Syndication DemandSlidePlatformPlatformAudiencesContentManagementDigitalAssetManagementDigitalAnalytics Event Managment · Identity Resolution and XREF Management · Event Stream Parsing and Rationalization Digital Data Integration (DDI) · Cookie/Session/Pixel Linking and Aggregation · Anonymous/Known and On-line/Off- line Linking Insight/Action Data Data to Drive Decisions and Capture Insight Audience Profile Identity Audience Real-time Response / Disposition Data Audiences Tags Data Profile Decisions Identity Data Data Data Scoring History Metadata Insights Data Prospect Event Stream Score Data Scores Data Profile Events Data Real-time Real-time Real-time Batch / Real-time Batch Batch Batch Batch Real-time Real-time Campaigns Leads Real-Time/Batch Preference Management Real-time CDI Profile/Offer Lookup Tag Management DSP Mobile Social Web Near-time&IncrementalBatchProcessing Operational Inquiries, Referrals, and Transactions Products, Accounts, Customers, and Services Quotes and Applications Campaigns Web and Mobile Direct Mail and Email Call Center, Branch, and ATM Digital Email Activity and Dispositions Search and Display Responses/Impressions Social Profile and Activity Web and Mobile Profile and Activity Lists & Overlays Prospect Files & Vertical Lists Data Overlays & Appends Suppressions, Segments, and Scores Other Market/Consumer Research Mass Media Buy Activity Econometric Data Consumer Checking Savings CDs IRAs Money Market Wealth Management Investment Services Credit Cards Mortgages Auto Loan Home Equity Loan Student Load Personal Installment Load Personal Lines of Credit Protection Services Life Insurance Home Insurance Auto Insurance Credit Risk Management Institutional Services On-line Banking On-line Bill Pay Direct Deposit Check Card Rewards Mobile Banking Premium Banking ECIF EDW UDS ACAP TSYS BCRD FSER ALS Zoot FNA IB SBA TDEP GPR AGL ACE Unica Exact Target Eloqua ATG CAMP Chordiant Phoenix (ATM) Genesis (IVR) Aspect Dialer MGIC, Argus S2S Acces DB Dial America Exact Target/Eloqua Operational Email Systems Seach Partners (Spark) Display Partners (DART) Landing Pages (Harte Hanks/IT) Monetize and 53 Mobile (Mobile Data Mart) Preference Center (TBD) Digital Analytics (TBD) CoTweet (Social Activity) Harte Hanks Agus Acxiom IXI Central Opt Out DB DSG Customer Analytics Preference Center (TBD) Media Buying Partners (Segment Level) Internal Market Research External Market Research Integration Layer Transformation Data Quality Normalization (ODS Centric) Dimensionalized (Star Schema Centric) Business Rules Technical Subject Area Loads ETL-Real-time&BatchProcessing Mobile Application Optimize · Personalization · Targeted Offers · Product/Service Recommendations · Remarketing Collect · Viewing history · Contact History · Site Activity · Permission/Preference Identify · Latitude/ Longitude · Device ID · Email Address · Customer ID Inbound Call / Outbound Optimize · Preference History · Purchase History · Offer History · Offer Management · Call Routing · Knowledge Bank · Chat Response Collect · Contact History · Call Center Activities · Permission/Preference · Offer Disposition Identify · 53 Account Number · E-mail · Name and Address · Phone Number 53.com & Internet Banking Optimize · Personalization · Targeted Offers · Product / Service Recommendations · Remarketing · Forum / FAQ · Online Application · eDocs with Deep Linking Collect · Site Activity · Landing Page Activity · Content Impressions · Permission/Preference · eSignature · Click to Chat / Call · Issue / Support / Self Service · eDocuments Identify · Authenticated UID · Session, Cookie, IP Address · Device ID · Customer ID · Email · Name & Address · Phone Branch Email – EXACT TARGET & ELOQUA Optimize · Personalization/ Landing Pages · Targeted Offers Based on Web Behavior · Recommendations Collect · Sent · Opens · Clicks · Forwards · Spam/Opt Outs Identify · Phone · Email Address · Address · STMS Account Number Display - SPARK Optimize · Retargeting · Look-alike Models · 3rd Party Segments · Direct Match List Collect · Ad Impressions · Clicks · Media Activities · Profile Identify · Cookie · IP Address · Tracking Pixal Social – Hearsey or Sprinklr Optimize · Retargeting · Look-alike Models · 3rd Party Segments · Direct Match List Collect · FB Parent-Child Relationships · Application Usage · Ad Impressions Identify · User ID · Email Address · Zip Code · Cookie Search – SPARK & LEO BURNETT Optimize · Keyword Bidding by Segment · Creative Weights · Remarketing Collect · Search Redirects · Search Landing Page Activity · Key words Identify · Cookie · IP Address · Tracking Pixal Direct Mail – HARTE HANKS Optimize · Personalization · Targeted Offers · Recommendations Data Collection · Contact History Identity Attributes · Name & Address · Customer Number ATM Workflow Unica Campaign Email Service Provider Content/Asset ManagementETL and Workflow Management · Data loading and syncing · Automation & Job Control · File Management · Data Audit, Monitor & Alert Process Metadata & Data Health · Central identity store supports all customer recognition · Individual, ECIF Customer, Household, Account Identity Map and History · On-line and Off-line · Anonymous to Known Recognition Database Customer Data Integration (CDI) · Parsing, Hygiene, Standardization · Address Enrichment/NCOA · 3rd Party Match ID · Digital Data Integration (DDI) · Cookie/Session/Pixel Linking/ Aggregation · Matching (Hard Key & Fuzzy Logic) · Identity Resolution and XREF Management · Event Stream Management · Channel and Media Event Rationalization CDI Known DDI Anon. DDI Data Exg. Search Insight/ Identity / Event Stream Real-time Responsition & Disposition Data Insight · Next best action · Product recommendation · Available offers · Profle/Demos · Personalization · Segment/Value · Event Trigger Data · Cookie/IP, ECIF ID, Name/ Address, Device ID · Events, Behavior, Session · Disposition, Interests Audience Platforms Hadoop Platform Hadoop  Pre-Processing – using big data capabilities as a “landing zone” before determining what data should be moved to the data warehouse.  Data Exploration – using big data capabilities to explore and discover new high value data from massive amounts of raw data and free up the data warehouse for more structured, deep analytics.  Offloading – moving infrequently accessed data from data warehouses into enterprise-grade Hadoop allows organizations the ability to store transaction-level data for longer periods of time. Digital Channel Event Stream Real-Time / Batch Optimize · Preferences · Purchase History · Offer History · Offer Management Collect · Contact History · Call Center Activities · Permission/Preference · Offer Disposition Identify · 53 Account Number · E-mail · Name and Address · Phone Number Optimize · Personalization · Targeted Offers · Product / Service Recommendations · Remarketing Collect · Visit · Transaction · Ad Impression Identify · 53 Account NumberKnowledge Bank Staging Exploration Event Streaming Execution Systems ACH WIRE TX CHECK IMAGE AUTO BILL PAY SUPERMICR RAFT / TPP Product Execution Systems UDS AFS ALS XAA FINDUR BANKTRADE ACBS NFS TSYS INFOLEASE TRUST FSER GENERAL LEDGER BUSINESS SOLUTIONS CRM CCAS MDM RAROC FNA CML PORTAL IntegrationLayer · Perform discrete transactions on behalf of a customer (deposits, funds, transfer, withdrawals) · System of record for some financial service or product-level attributes · Authoritative system of record for client product or service and it’s current state (balance) · System of record for most product or service specific or characteristics (rate, term) · Primarily internal-facing business systems that create or derive information about a customer or transaction that has relevancy elsewhere in the Organization (RAROC Score, Service Tier, etc) Fifth Third Sources & Extracts Unica Detect Upgrade FileNet Recommendations - Mapping of recommendations based on effort and business impact 10 9 8 7 6 5 4 3 2 1 10987654321 LevelofImpact Level of Effort Quick Wins Longer Term The recommendations are plotted according to the prioritization exercise to determine potential quick win candidates ab c d e f g h i jk a b c d e a b c a b c d a b c Ensure Data ConsistencyEstablish Data Governance Guidelines Define Customer Profile Improve Data Capture & Integration Centralized Marketing System Determine DMP Technology Integrate Digital Data into DMP Syndicate Data From DMP Across Digital Media Consistent Consumer Profile Integrate Digital Data into Event Stream Increase Use of 3rd Party Data Analytics & Insights Environment Cross Media Measurement System Media Scenario Planning Data Visualization & Reporting Co-Marketing Environments Improve Visibility Over Current Decision Management Expand Rule Based Decisions Across Channels & Media Content Management Tool Personalization Across Media Utilize Addressable Platforms Expand Use of Display Media Site Personalization Change Content Approval Process Technology Consistency Across Brands Centralized Marketing Technology Ownership 25 Initiative Description Objective The management and association of identity attributes across all channels and media. The creation of a longitudinal view of the experience a consumer has with Fifth Third Bank (the consumer event stream) • To enable accurate marketing to a customer/prospect with an intelligent solution to identity management and association of identity attributes across all channels and media. • Provide the ability to enhance the marketing platform with the organization of customer event stream information in a chronological order of events for an individual, account, and household. Benefits & Pain Points Remediation Systems Impacted / Replaced • The ability to scale and address digital event and activity data, as well as anonymous and known prospect universe • Increase the ROI of marketing programs by accurately identifying customers and prospects and reducing the costs involved with additional data hygiene and duplication • Marketing Data Mart (MDM) • ECIF • EDW • Foundational Marketing Platform (To be developed) • Webtrends • Akamai Video Server Estimated Costs and Duration – Cash View • Total of 7 months across multiple phases (for onetime costs) • One Time Cost: $500k • Ongoing Cost: $416K until 2019 Risks, Assumptions, Dependencies • Data availability and timeliness • Client staffing availability and Skillset • Business rules definitions • Hadoop: Consideration for other data streams that haven’t been included (chat histories, etc.) • Hadoop: Consistent follow on work for Merkle to sustain additional feeds Identity Management Platform Initiative Description Objective The management and association of identity attributes across all channels and media. The creation of a longitudinal view of the experience a consumer has with Fifth Third Bank (the consumer event stream) • To enable accurate marketing to a customer/prospect with an intelligent solution to identity management and association of identity attributes across all channels and media. • Provide the ability to enhance the marketing platform with the organization of customer event stream information in a chronological order of events for an individual, account, and household. Benefits & Pain Points Remediation Systems Impacted / Replaced • The ability to scale and address digital event and activity data, as well as anonymous and known prospect universe • Increase the ROI of marketing programs by accurately identifying customers and prospects and reducing the costs involved with additional data hygiene and duplication • Marketing Data Mart (MDM) • ECIF • EDW • Foundational Marketing Platform (To be developed) • Webtrends • Akamai Video Server Estimated Costs and Duration – Cash View • Total of 7 months across multiple phases (for onetime costs) • One Time Cost: $500k • Ongoing Cost: $416K until 2019 Risks, Assumptions, Dependencies • Data availability and timeliness • Client staffing availability and Skillset • Business rules definitions • Hadoop: Consideration for other data streams that haven’t been included (chat histories, etc.) • Hadoop: Consistent follow on work for Merkle to sustain additional feeds Identity Management Platform Initiative Description Objective The management and association of identity attributes across all channels and media. The creation of a longitudinal view of the experience a consumer has with Fifth Third Bank (the consumer event stream) • To enable accurate marketing to a customer/prospect with an intelligent solution to identity management and association of identity attributes across all channels and media. • Provide the ability to enhance the marketing platform with the organization of customer event stream information in a chronological order of events for an individual, account, and household. Benefits & Pain Points Remediation Systems Impacted / Replaced • The ability to scale and address digital event and activity data, as well as anonymous and known prospect universe • Increase the ROI of marketing programs by accurately identifying customers and prospects and reducing the costs involved with additional data hygiene and duplication • Marketing Data Mart (MDM) • ECIF • EDW • Foundational Marketing Platform (To be developed) • Webtrends • Akamai Video Server Estimated Costs and Duration – Cash View • Total of 7 months across multiple phases (for onetime costs) • One Time Cost: $500k • Ongoing Cost: $416K until 2019 Risks, Assumptions, Dependencies • Data availability and timeliness • Client staffing availability and Skillset • Business rules definitions • Hadoop: Consideration for other data streams that haven’t been included (chat histories, etc.) • Hadoop: Consistent follow on work for Merkle to sustain additional feeds Identity Management Platform Roadmap -Multi-phase Future State Enablement Roadmap Addressable Messaging and Targeting Consumer Analytics and Insights Comprehensive Display Program Decision Management Cross-Media Measurement Technology Alignment, Roles, Responsibilities, and Ownership Media Scenario Planning Content Approval Refinements Data Quality Improve Data Capture and Integration Identity Insights Personalization Channel Execution Content Management Quick Wins 3-6 Months Phase 1: Foundation 12 Months(FY ’16) Phase 2: Activation 12 Months(FY ’17) Phase 3: Expansion 12-18 Months(FY ‘18-’19) Phase 4: Efficiency 12-18 Months(FY ‘19-’20) Ongoing FY ’20-on Operating Model Foundational Marketing Database Data Management Platform and Integrations Data Visualization Co-Marketing Platform (Wholesale & Affiliates) Omni-Channel Personalization Capabilities Site Personalization and Testing Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 13. “Getting the technology right will be the hardest part.”
  • 14. Operationalizing the Changes to Sustain Transformation Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 15. Organizational Readiness: Organizational Strategy » Organization structure to deliver integrated programs ‣ Does your current organization structure allow you to easily collaborate and coordinate across product/business unit silos to deliver a customer- (vs. product-) centric program? ‣ If not, is there a way to accomplish that without a huge “re-org” effort?
  • 16. Organizational Readiness: Operating Model » Mapping current state » Identifying gaps, pain points » Defining future state flow » Provide details about each step including input, outcome, key players, skill set Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 17. Organizational Readiness: Roles & Responsibilities » List of required role based on defined process » Indicate RACI for each of the functional roles » Develop position description for each role » Map roles and staffing level against current team Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.
  • 18. Download the Full Report 18 Learn all of the truths and misconceptions of transformation in Merkle’s Customer-Centric Transformation white paper. Click here to read the full report.

Hinweis der Redaktion

  1. This truly is an incredible time to be a marketer. The reality of what media and channel technology can do today is finally catching up to the dream and promise of customer-driven, 1 to 1 marketing. In recent years the number of companies that are exploring broad-scale, customer centric transformation has absolutely skyrocketed. And it occurred to us that while there’s a lot of information about the tactics and technologies, there isn’t a lot of discussion about how to ensure a successful transformation. I’ll start with highlighting findings from our research on the Truths and the Misconceptions of Transformation. [*] Then I’ll hand it off to Andre who will give us his first hand view of Lessons Learned from the Field as a leading vendor partner in the marketing technology space.
  2. We’ll be discussing excerpts from our recently published white paper “The case for change” which is based on findings from our research on transformation, sponsored by our partner Adobe. We asked 250 senior executives to describe their company…their approach to transformation and to evaluate a recent broad scale initiative. The companies had revenue of $1 billion or more and spans multiple industries as well as across B2B and B2C.
  3. Let’s come to a common definition of transformation. In particular the difference between optimization and transformation. [*] “Optimization” typically means driving incremental impact and working with and within what’s in place. Tactics are usually clearly defined, and the approach is one and done. [*]On the other hand, transformation is another animal altogether. Unlike optimization, the expected benefit is substantial and it’s all about questioning and challenging what’s in place. Also, unlike change, what’s needed to be done is often fluid and iterative and not always clearly defined. Optimization can be successful within a business as usual environment. But transformation is much bigger, more complex and require… a broader scope, a more rigorous approach and specific competencies that may not be in place today.
  4. So what exactly are the odds of success? [*] This topic has been studied by a lot of smart people over the years and the research have been fairly consistent in finding that 70 percent of complex, large-scale change programs don’t reach their stated goals. So let’s talk about how you can improve your odds of joining the 30% [*] who do succeed.
  5. Typically we think of success and failure as all or nothing. But the truth is that when evolving an idea into reality, there’s the risk at every stage, starting with Planning. [*] These would be the projects that never make it into development – whether because funding wasn’t approved or the project just lost steam along the way. [*] Next is the Build phase and there’s all sorts of ways for things to go sideways – maybe the enhancements are never launched or more commonly, significantly under deliver on expectations and probably over deliver on cost and timeline. [*] Finally there’s the Sustain phase where the initiative is launched but doesn’t take hold and is ultimately abandoned. As we review our findings we will be calling out where success factors may be specific to one or more of the stages.
  6. So here are the key competencies required for a successful transformation and below you can see how the difference between those companies who had a successful transformation and those that did not in terms of their mastery of these pillars. First we start with Vision… In this presentation I’ll be focusing on several of these competencies and referring to specific attributes that roll up underneath them
  7. We’re going to present our research findings by framing them around some of the missteps or misconceptions that get in the way of success. Let’s start with this one [*] I get it – you and your team want to make things happen and want to spend less time thinking and just jump into the action. However, committing to a formal planning process that’s appropriately staffed and adequately funded is essential. This is where an idea materializes into something more tangible.
  8. Shortchanging this critical phase will have repercussions downstream in the project. We found in our research that companies with successful transformation initiatives were 2.2x more likely to have a formal program management office in place, 2.8x to require a business case and 2.5x more likely to develop and adhere to a multi-phased road map that helped them prioritize and plan out their efforts.
  9. So what might a comprehensive Plan look like? Here at Merkle we think about the three tiers of Vision, Value, Roadmap [*] First we start with an in-depth understanding of the current state. [*] Bringing the teams together to collaborate on identifying the pain points in the current customer experience and overall infrastructure and to begin creating the desired future state. This exercise is important for two reasons – first is that you are gaining the perspective and expertise of a broad array of team members from across the organization. But just as important is that this and subsequent activities builds ownership and ultimately buy-in toward the transformation. From this, we would build out the requirements for a subset of the highest priority interactions. [*] This results in the future state vision - one of the assets would be a future state customer journey to illustrate the desired experience flow but also to map out the data, technology, measurement and organizational infrastructure needed to support the future state. As with the exercise of evaluating the current state, this map also does double duty in that it’s a tremendous communication and socialization tool. It bring to life the end state in a way that can be understood across every level of the organization.
  10. [*] The Value part starts with a [*] prioritization of the interactions that make up the customer journey vision – with heavier weighting on those interactions that will drive high business impact. This becomes the input to a value tree analysis [*] where we understand the capabilities that enable each use case but also the KPIs and specific value drivers. Finally, these input roll up into the [*] overall investment and benefit calculations in the form of a Business Case
  11. Finally, there’s the Roadmap [*] The prioritization that’s used for the value case is also a key input here [*] in that it informs the detailed description [*] of capabilities and enablers required to bring the use case to life as well as the accompanying blueprint [*] and flows into the final roadmap [*] which will guide the development process.
  12. And our next misconception… [*] [As we saw with our poll, technology is typically not the biggest barrier to success] Of course, getting the technology components right is critical to a program’s success. However, it is the people factor of organizational readiness that will ultimately trip up your efforts.
  13. This is the category where we see the big difference between successful and failure, in particular as it relates to sustaining the vision of your transformation A key reinforcing mechanism to sustaining change is aligning incentives to the desired behavior. Successful initiatives were 3.3x more likely to focus on it. In addition to product-focused conversion and profitability metrics, the organization needs to incorporate an enterprise-level view of customer value that spans across products as a key performance indicator and rewarding the behavior we’re looking for… As the saying goes, “that which is measured, improves.” Other areas of focus includes adapting workflow, processes and work groups where successful initiatives were respectively 2.5 times and 1.9 times more likely to address. There are 3 components to address on this topic – Organizational Strategy, Operating Model and Roles & Responsibilities.
  14. Let’s start with Organizational Model…All too often, it’s assumed that a transformation initiative will require a major “re-org.” But the truth is, the current structure may not need to change at all, or may only need minor tweaks. In fact, given the level of disruption and the complexities, a re-org is probably the last thing you’d want to consider. Really, who wants to deal with this? So, before we go to the extreme of even considering re-org, let’s start with a couple of questions [read] <*> Chances are, there are ways to get your organization closer to a people-based marketing vision without dramatic org changes.
  15. Now let’s get into Operating Model. This is really the make or break of whether transformation can be sustained. First you need to map the current state process and highlight gaps that will hinder the organization’s ability to execute customer-driven programs. You will do this through a combination of individual and group interviews as well as review of any existing documentation. The next step is to define what the future state flow should be [*] – in this example it’s the process of creating a Campaign Playbook. And For each process, you’ll want to double click on details, such as the step here of Developing Campaign Objectives. We’ll spell out what’s needed to execute this step including the input, the output, key players and skills set. It’s a lot of work but this is the level of detail that’s needed, because you don’t want any surprises down the line.
  16. Next is Roles & Responsibilities. Following through with our example of developing a Campaign Playbook, [*] here’s an example of the future state process, which then is laid out against the required people for each step. [*] You want to start with a higher level RACI for each of the roles but very quickly will need to get into the details, including position descriptions as well as coming to terms about how your current team maps against the future state. In our experience, you will very likely need to make changes to the team – whether that’s rebalancing current skill set and or ramping up your team size to deliver on the vision.