© 2021 merkle, inc. all rights reserved. confidential
TRANSCRIPT
© 2021 Merkle, Inc. All Rights Reserved. Confidential.
© 2021 Merkle, Inc. All Rights Reserved. Confidential.
HOW TO GET STARTED WITH CUSTOMER JOURNEY ANALYTICSJuly 14, 2021
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Today’s Speakers
Shirli ZelcerHead of Analytics & Data
Merkle
Scott NuernbergerHead of Analytic Solutions
Merkle
Amanda GessertHead of BI & Visualization
Merkle
Alice HarmonHead of Health Analytics
Merkle
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OUR VISION
We are a customer experience transformation business partner
to the Fortune 1000
The future of brand loyalty and competitive advantage is the
customer experience
We empower the world’s leading brands to transform their
data, technology, and organizational capabilities to deliver
differentiated customer experiences
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AGENDA • Importance of Customer Journey Analytics • Customer Journey Analytics Framework• Case Study• How to get started?
Customer Journey Analytics Accelerator
• Q&A
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The Customer Experience is Now on Every CEO’s Agenda
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66% of consumerscare more about experience than they do price when making a buying decision.
56% of shoppershave stopped shopping a brand site due to poor experiences.
61% of customerssay connected and personalized interactions are very important to winning their business.
5%increase in
customer retention rates increases profits anywhere from 25% to 95%
67%loyal customers
spend 67% more than new customers
88%of customers are
less likely to return to a website where
they had an unpleasant experience
Why is Customer Journey Important?
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60% of execs said they will increase spending to strengthen their first-party data since Google announced the discontinuation of third-party cookies.
-2020 Winterberry Group “State of Data” survey
65% of ad buyers will be relying more heavily on ID graphs built on first-party data in 2021.
-2020 Advertiser Perceptions “ID Resolution Marketplace Report”
Marketers cited martech for first-party data initiatives as their “top technology investment priority”.
—2018 Forbes “Real-Time Marketing Accountability” Report
The Rising Importance of First-Party Data
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Today’s Environment Leads these Analytic Focus Areas
CUSTOMER DATA PLATFORM (CDP)• Central store for
customer data• Enabling technology• “The Chassis”
CUSTOMER JOURNEY ANALYTICS• How to turn customer
data into actionable insights
• Establishes decisioning and closed loop measurement
• “The Engine”
DATA• First-Party• Second-Party• Third-Party
PRIVACY• Data usage in a privacy
driven world• How to take advantage
of clean rooms for audience creation and measurement
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06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
360O CUSTOMER JOURNEY VIEW
A Framework for Customer Journey Analytics
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06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
01. Connect & Enhance DataA Framework for Customer Journey Analytics
Third-Party IDs
First-Party IDs
Email Linkage
CONNECT DATA: IDENTITY GRAPH
LAURA SMITH123 Main St.
Centerport, NY 11721617-435-2867
• Third-party data appends• Segmentation/Clustering• Propensity models• LTV models• Non-PII data (economic, geo summarized,
competitive, etc.)
ENHANCE DATA: APPENDS AND MODELS
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Map out what the ideal customer journeys should be, along with what data and measurement should
be occurring at each touchpoint
06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
02. Data-Driven Journey DefinitionA Framework for Customer Journey Analytics
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Let the data tell the story of the current customer journey. Stitch together data to determine what is actually happening to customers and prospects at various points in the funnel.
06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
02. Data-Driven Journey DefinitionA Framework for Customer Journey Analytics
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06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
03. Test Design & Contact StrategyA Framework for Customer Journey Analytics
Key activities to consider• Define primary/secondary KPIs, and define what success is ahead of time• Resist overcomplicating test designs at first• Ensure test sizes are large enough to confidently lead to conclusive results• Consider complexity of execution (operationalize)
Nobody succeeds if a program is executed, and the results are inconclusive.
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06Measurement
01Connect & Enhance Data
02Data Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
04. OperationalizeA Framework for Customer Journey Analytics
• Keep communicating the ‘why’• Ensure you have strong communication and organization• Consider all groups involved as stakeholders, keep stakeholders informed with insights
and results
Silos are everywhere, and corporate culture doesn’t always make it easy to execute an end-to-end experience from a customer journey perspective
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06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
05. Real-Time Decisioning & OptimizationA Framework for Customer Journey Analytics
Life Cycle JourneyOMNI CHANNEL
Macro Journey Macro Journey Macro JourneyCROSS CHANNEL
SINGLE CHANNEL Micro Micro Micro Micro Micro Micro Micro MicroJourney Journey Journey Journey Journey Journey Journey Journey
CUSTOMER
CENTRICITY
PROGRESSION OF CUSTOMER JOURNEYS TOWARD CENTRICITY AND MATURITY JOURNEY
MATURITY
EDGE DECISIONING CENTRALIZED DECISIONING
TYPES OF DECISIONING MODELS
HYBRIDDECISIONING
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JOURNEY PROGRESSION
CHANNEL PERFORMANCE
CUSTOMER INSIGHTS
Visualize key paths along the customer journey
Show how media drives improved customer engagement
Highlight customer behaviors by segments
• Reporting results of test designs• Dashboards of what happened• Multi-touch attribution
06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
06. MeasurementA Framework for Customer Journey Analytics
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Customer Journey Analytics Offering Framework
Unlocking the Customer Journey with Journey Analytics:• Provides the necessary data-driven understanding of the
current state experience (pre and post purchase) across all channels and all media
• Illuminates key insights to optimize the non-linear, complex, and difficult journey
• Positively impacts the customer and client brand• Improves business outcomes
Each of the six offerings can be approached as stand-alone.
However, realizing the 360o Customer Journey View:• Requires all six framework solutions• Results in the greatest improvement to business outcomes
06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
360O CUSTOMER JOURNEY VIEW
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CASE STUDY
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Objective
Addressable Ecosystem EffectivenessDetermine Rx impact driven by HCP addressable ecosystem• Which tactics drive highest Rx impact?• Has there been improvement with various marketing changes?
BundlesIdentify highest impact tactic combinations• What is the Rx contribution of each tactic in a bundle?• What is the optimal tactic order?
ContentPinpoint optimal content by tactic• Which content/message types have most Rx impact?• What email tactics have highest impact?
Deliver insights and recommendations in order to optimize the physician experience
06Measurement
01Connect & Enhance Data
02Data-Driven Journey Definition
05Real-Time Decisioning & Optimization
03Test Design & Contact Strategy
04Operationalize
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Labor intensive data collection and validation process resulting in slow turnaround time.
Results that were obsolete by the time they became available for Marketing & Brand teams.
Solution enhancements delayed or abandoned in exchange for delivering existing results.
Challenge
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Solution
Centralized cloud-based data platform to streamline data processing and validation.
Automated end-to-end system for continuous data ingestion, modeling, and reporting.
Online reporting with dynamic insights generation.
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End-To-End Attribution Solution
Event stream establishes the foundational data layer for attribution.
Machine Learning to algorithmically assign credit to each touchpoint in the event stream.
Calibration to align KPIs across the organization.
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Automation of event stream creation and modeling allows for ongoing reporting
Rx
Begin modeling weekly response
Establish look-back window
Ongoing Reporting of Results
Month 1
Month 2
Month 3
Month 4
Month 5
Month 6
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BundlesIdentify highest impact tactic combinationsResults
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The result is the ability to deliver automated insights and recommendations in “real-time” in
order to optimize the physician experience.
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CUSTOMER JOURNEY ANALYTICS IN ACTION
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Closing Thoughts
• Better customer experience drives competitive advantage• Effective customer journey analytics requires coordination across the
organization• Think of ways to get started
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QUESTIONS?
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THANK [email protected]
© 2021 Merkle, Inc. All Rights Reserved. Confidential.