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MCE Consultant (MCE-Consultant)
The course teaches the fundamentals of Salesforce Marketing Cloud Engagement consulting, covering strategy, data architecture, advanced Journey Builder, content strategy, and automation architecture, enabling consultants to design and implement effective marketing solutions.
Who Should Take This
Mid‑level marketing technologists, CRM managers, or consultants who already work with Salesforce Marketing Cloud and seek to deepen their expertise in building data‑driven journeys and scalable automation should enroll. They aim to validate their skills, lead implementation projects, and advance to senior consulting roles.
What's Covered
1
Domain 1: Marketing Strategy
2
Domain 2: Data Architecture
3
Domain 3: Journey Builder Advanced
4
Domain 4: Content Strategy
5
Domain 5: Automation Architecture
6
Domain 6: Analytics and Optimization
7
Domain 7: Deliverability
8
Domain 8: Implementation
What's Included in AccelaStudy® AI
Course Outline
64 learning goals
1
Domain 1: Marketing Strategy
2 topics
Digital Marketing Planning
- Identify digital marketing strategy components including audience segmentation channel planning content strategy and measurement
- Configure marketing planning artifacts including persona definitions journey maps and campaign calendars for strategic execution
- Configure goal frameworks including KPI definitions benchmark establishment and measurement cadence for marketing performance
- Analyze marketing requirements to design multi-channel engagement strategies aligned with business objectives and customer lifecycle
Customer Journey Design
- Identify customer journey concepts including touchpoints channels moments of truth and lifecycle stages for experience design
- Configure journey mapping including stage definitions touchpoint identification and channel selection for customer experience strategy
- Configure journey measurement including conversion tracking attribution models and engagement scoring for journey optimization
- Analyze customer journey data to design experience improvements addressing friction points and maximizing engagement at key stages
2
Domain 2: Data Architecture
2 topics
Data Model Design
- Identify MC data architecture including data extensions relational models subscriber attributes and data views for system design
- Configure data models including sendable extensions relational links and filtered extensions for complex segmentation architectures
- Configure data hygiene including deduplication routines data standardization and lifecycle management for data quality maintenance
- Analyze data requirements to design architectures supporting real-time personalization behavioral targeting and cross-channel reporting
Audience Segmentation
- Identify segmentation approaches including attribute-based behavioral engagement-based and predictive for audience targeting
- Configure SQL-based segmentation including complex joins conditional logic and dynamic audience generation for advanced targeting
- Configure audience automation including scheduled segmentation triggered audience updates and real-time filtering for timely targeting
- Analyze segmentation effectiveness to optimize audience strategies improving campaign relevance and reducing subscriber fatigue
3
Domain 3: Journey Builder Advanced
2 topics
Complex Journeys
- Identify advanced Journey Builder features including multi-entry journeys nested decisions custom activities and Einstein integration
- Configure multi-path journeys including complex decision logic engagement-based branching and A/B testing for optimization
- Configure journey entry and exit including re-entry rules contact evaluation modes and goal-based exit criteria for lifecycle management
- Analyze journey performance to design optimization strategies improving conversion rates engagement metrics and goal completion
Journey Integration
- Identify journey integration points including API events Salesforce triggers and third-party webhook connections for automation
- Configure API event-triggered journeys including event definitions payload mapping and real-time journey injection for activation
- Configure cross-cloud journey integration including Sales Cloud Service Cloud and Commerce Cloud triggers for unified experiences
- Analyze integration requirements to design journey architectures connecting marketing automation with CRM and commerce workflows
4
Domain 4: Content Strategy
2 topics
Personalization
- Identify personalization techniques including AMPscript dynamic content Einstein content selection and real-time content for emails
- Configure AMPscript personalization including variable declarations functions loops and error handling for dynamic email content
- Configure Einstein content selection including asset tagging selection rules and performance optimization for AI-driven personalization
- Analyze personalization effectiveness to recommend content strategies improving engagement through relevance and contextual messaging
Content Operations
- Identify content operations including template management asset libraries approval workflows and brand governance for consistency
- Configure content workflows including creation approval publishing and archival processes for marketing asset lifecycle management
- Configure brand governance including template standards asset libraries and compliance reviews for consistent cross-channel messaging
- Analyze content performance to design operations strategies optimizing production efficiency quality and brand consistency
5
Domain 5: Automation Architecture
2 topics
Advanced Automation
- Identify advanced automation features including triggered sends scripting activities and SSJS for complex marketing workflows
- Configure triggered send automation including event-based triggers real-time processing and transactional messaging for communications
- Configure server-side JavaScript activities including API calls data manipulation and custom logic for advanced automation tasks
- Analyze automation architecture to design scalable workflows handling high-volume triggered sends and complex data processing
Cross-Channel Orchestration
- Identify cross-channel features including email push SMS and advertising with their orchestration patterns in Marketing Cloud
- Configure multi-channel campaigns including channel coordination timing optimization and message frequency management for outreach
- Configure preference management including channel selection frequency caps and fatigue rules for subscriber experience optimization
- Analyze cross-channel performance to design orchestration strategies optimizing channel mix timing and message frequency for engagement
6
Domain 6: Analytics and Optimization
2 topics
Advanced Analytics
- Identify MC analytics including Discover Reports data views Einstein analytics and custom reporting for marketing measurement
- Configure advanced reporting including data view queries cross-journey analytics and custom dashboards for marketing insights
- Configure Einstein engagement scoring including feature configuration score interpretation and action recommendations for targeting
- Analyze marketing analytics to design measurement frameworks connecting campaign performance to business outcomes and ROI
Testing and Optimization
- Identify testing methods including A/B testing multivariate testing and send time optimization for campaign performance tuning
- Configure A/B testing including variable selection sample sizing statistical significance thresholds and winner selection criteria
- Configure send time optimization including Einstein STO configuration time zone management and engagement pattern analysis
- Analyze test results to design ongoing optimization programs systematically improving open rates click rates and conversion
7
Domain 7: Deliverability
2 topics
Reputation Management
- Identify deliverability factors including sender reputation authentication IP warming and ISP relationships for inbox placement
- Configure deliverability monitoring including reputation dashboards blocklist alerts and engagement metrics for health tracking
- Configure IP warming plans including volume ramp schedules engagement-based sending and reputation monitoring for new infrastructure
- Analyze deliverability data to diagnose inbox placement issues and recommend remediation strategies for reputation recovery
Compliance
- Identify compliance requirements including CAN-SPAM GDPR CASL and industry-specific regulations for marketing communications
- Configure compliance frameworks including consent management preference centers and suppression handling for regulatory adherence
- Configure audit and documentation including consent records processing logs and compliance reporting for regulatory accountability
- Analyze compliance requirements to design governance frameworks supporting multi-jurisdiction marketing operations
8
Domain 8: Implementation
2 topics
Solution Architecture
- Identify MCE architecture components including business units data models automation frameworks and integration patterns for design
- Configure solution designs including BU architecture data extension models journey frameworks and integration blueprints for delivery
- Configure environment strategy including sandbox management deployment procedures and testing protocols for development lifecycle
- Analyze business requirements to design MCE solution architectures optimizing scalability maintainability and marketing effectiveness
Project Delivery
- Identify implementation methodologies including Agile waterfall and hybrid approaches for MCE consulting project delivery
- Configure project governance including sprint planning stakeholder reviews and quality gates for MCE implementation management
- Configure training and enablement including administrator training marketer training and documentation for organizational adoption
- Analyze implementation outcomes to recommend ongoing optimization and roadmap priorities for long-term marketing platform success
Scope
Included Topics
- Salesforce Certified Marketing Cloud Engagement Consultant exam topics.
Not Covered
- Custom Apex/LWC development.
Official Exam Page
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