Salesforce Marketing Cloud Next30-Hour Deep-Dive Training & End-to-End POC
(Client Proposal | Data Cloud · Marketing Cloud Next · RCS · Einstein · Agentic Marketing ·Agentforce · Analytics · Latest Releases)
Master Salesforce Marketing Cloud Next through practical, industry-oriented training covering Data 360, audience segmentation, personalization, campaigns, Flow Builder, content management and Agentforce.
Learn how to build real-world marketing campaigns and customer journeys using unified customer data, actionable audiences, automated workflows and personalized engagement across channels.
Gain hands-on experience with Data 360, identity resolution, segmentation, Salesforce CMS, Marketing Campaigns, Flow Builder, consent management, marketing triggers and reporting through practical exercises.
Explore AI-powered marketing with Agentforce and Einstein, including AI-assisted campaign execution, personalization, audience insights and conversational customer engagement.
By the end of the 30-hour deep-dive training, you will complete an End-to-End POC and be prepared to work on real-world roles and projects involving Salesforce Marketing Cloud Next, Data 360, Marketing Automation, Personalization and Agentforce.
About The Instructor:
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Virender sir is an experienced Salesforce Marketing Cloud professional and trainer with 8+ years of industry experience, specializing in Salesforce Marketing Cloud Next, marketing automation, customer data, personalization, and AI-powered marketing solutions. He brings practical expertise in designing and implementing real-world marketing campaigns, customer journeys, audience segmentation, data-driven personalization, and end-to-end marketing solutions using the Salesforce ecosystem. His hands-on expertise includes Marketing Cloud Next, Data 360, Flow Builder, audience segmentation, campaign management, content creation, personalization, automation, Agentforce and AI-powered marketing. Marketing Cloud Next integrates Data 360, Flow Builder and Agentforce to support unified, automated and personalized customer engagement. With 8+ years of professional experience, Astro focuses on practical, hands-on learning through real-world scenarios, implementation exercises, and an End-to-End POC, helping learners develop job-ready skills for careers in Salesforce Marketing Cloud, Marketing Automation, Data 360, Personalization, and Agentforce. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 200 USD 159 119 USD Or USD15000 INR 13000 INR 9900 Rupees.
OR
Free Demo Session:
5th October @ 9:00 PM – 10:00 PM (IST) (Indian Timings)
5th October @ 11:30 AM – 12:30 PM (EST) (U.S. Timings)
5th October @ 4:30 PM – 5:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday, Tuesday, Thursday, and Friday @ 9:00 PM – 10:00 PM (IST)
For Participants in the US: Monday, Tuesday, Thursday, and Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday, Tuesday, Thursday, and Friday @ 4:30 PM – 5:30 PM (BST)
What student’s have to say about Trainer :
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⭐ A very practical and well-structured Salesforce Marketing Cloud Next training. The concepts around Data 360, segmentation, campaigns, and personalization were explained clearly with real-world examples.– Aarav Mehta ⭐ “Excellent training! The hands-on sessions on Marketing Cloud Next, Flow Builder, customer journeys, and campaign automation helped me understand how everything works in real projects.– Aisha Rahman ⭐ Virender’s teaching style is clear and easy to follow. The combination of theory, live demonstrations, practical exercises, and the 30-hour deep dive made the learning experience extremely valuable.– Joseph ⭐ “This training gave me a strong understanding of how Data 360 works with Marketing Cloud Next for unified customer data, segmentation, and personalized campaigns.– Ananya Reddy ⭐ “A highly recommended program for anyone looking to build practical skills in Salesforce Marketing Cloud Next, Data 360, automation, personalization, and Agentforce. – Sneha Iyer |
Who can enroll for this course?
- New folks who want to kick start there carreer in salesforce
- Salesforce Administrators
- Salesforce Developers
- Salesforce Marketing Cloud Professionals
- Marketing Cloud Administrators
- Salesforce Data Cloud Professionals
- Marketing Automation Specialists
- CRM & Customer Experience Professionals
- Digital Marketing Professionals working with Salesforce
- Salesforce Consultants and Solution Architects
- Data Analysts working with customer and marketing data
- Marketing Operations Professionals
- Email Marketing & Campaign Specialists
Salient Features:
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- 30 Hours of Live Training with real-time project demonstrations
- 1 Year Access to All Recorded Sessions for continuous learning and revision
- Industry-Recognized Course Completion Certificate upon successful completion
What will I Learn by end of this course?
- Landing pages how you can get data with web to lead for to MC Next for more Capabilities.
- Build and manage end-to-end marketing solutions using Salesforce Marketing Cloud Next and real-world marketing automation practices.
- Work with Data 360 to unify customer data, create unified profiles, and prepare data for personalized marketing experiences
- Create and manage audience segments, campaigns, customer journeys, and personalized experiences based on customer data and business requirements.
- Build marketing automations using Flow Builder, including event-triggered flows and automated customer engagement workflows
- Create engaging email, SMS, and WhatsApp campaigns with content creation, personalization, and multi-channel outreach.
- Implement AI-powered marketing with Agentforce and Einstein, including AI-assisted campaign creation, content generation, segmentation, and journey decisioning.
- Understand real-time personalization and journey decisioning, using customer behavior and context to deliver relevant experiences.
Course Syllabus:
FAQs for the Salesforce Marketing Cloud Next 30-Hour Deep-Dive Training & End-to-End POC Course:
How can I enroll for this course?
Course Features
- Lectures 139
- Quiz 0
- Duration 30 hours
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
- 5 Sections
- 139 Lessons
- 30 Hours
- Data Foundation & Audience Intelligence15
- 1.1Salesforce & CRM Foundation
- 1.2Core CRM objects, relationships, users, permissions and Setup
- 1.3Identify the CRM data relevant to the business scenario
- 1.4Data Cloud Foundation
- 1.5Data Streams, Data Bundles and Connectors
- 1.6Data Lake Objects (DLOs) and Data Model Objects (DMOs)
- 1.7Data Mapping and Data Explorer
- 1.8Calculated Insights and Data Graph concepts
- 1.9Map CRM, web and transaction data into the learning model
- 1.10Identity, Segmentation & Activation
- 1.11Identity Resolution
- 1.12Unified Individual
- 1.13Profile Explorer
- 1.14Segmentation and Activation
- 1.15Create a target audience for the campaign POC
- Marketing Cloud Next Core45
- 2.1Architecture & Setup
- 2.2MCN architecture
- 2.3CRM and Data Cloud relationship
- 2.4Setup, Data Kits and Business Units
- 2.5Access and channel foundations
- 2.6Audiences, Consent & Preferences
- 2.7Audience selection
- 2.8Contact Point Consent
- 2.9Consent enforcement
- 2.10Double opt-in
- 2.11Preference management
- 2.12Content, Personalization & Email
- 2.13Content Workspace and Content Builder
- 2.14Templates and Dynamic Content
- 2.15Merge Fields
- 2.16Email
- 2.17Marketing Objects
- 2.18Scripting awareness
- 2.19Forms, Landing Pages & Growth
- 2.20Forms and Form Handlers
- 2.21Landing Pages
- 2.22Website Tracking
- 2.23UTM Attribution
- 2.24Progressive Profiling
- 2.25Signup Experiences
- 2.26Campaigns & Marketing Flows
- 2.27Campaign Briefs
- 2.28Campaign Creation
- 2.29Audience Orchestration
- 2.30Marketing Flows
- 2.31Triggers and Decisioning
- 2.32Consent and Testing
- 2.33RCS & Interactive Messaging
- 2.34RCS fundamentals
- 2.35Sender Identity
- 2.36Media and Rich Cards
- 2.37Carousels and Suggestions
- 2.38Campaign use cases
- 2.39Path Optimization & Experimentation
- 2.40Random Split
- 2.41Path Experiment
- 2.42Outcome Metrics
- 2.43Optimization Logic
- 2.44Phase 2 POC
- 2.45Build a complete campaign journey from Audience → Consent → Personalized Content → Campaign → Marketing Flow → Email/RCS → Optimization
- AI-Powered & Agentic Marketing28
- 3.1Einstein Intelligence
- 3.2Send Time Optimization
- 3.3Engagement Scoring concepts
- 3.4Engagement Frequency
- 3.5AI-assisted Segmentation
- 3.6Predictive Marketing Intelligence
- 3.7Agentic Marketing
- 3.8Business Brief to Campaign support
- 3.9AI-assisted Content Creation
- 3.10AI-assisted Audience Creation
- 3.11Campaign Decision Support
- 3.12Agentforce
- 3.13Agent concepts
- 3.14Agentforce Architecture
- 3.15Topics, Actions and Instructions
- 3.16Marketing Use Cases
- 3.17Agentforce Studio
- 3.18Studio Builder orientation
- 3.19Agent Configuration
- 3.20Templates
- 3.21Testing
- 3.22Observability awareness
- 3.23Marketing Agents
- 3.24Campaign Creation Assistance
- 3.25Journey Decisioning concepts
- 3.26Account Nurturing Agent
- 3.27Phase 3 POC
- 3.28Take a business brief and demonstrate how AI can support Audience Definition → Content Creation → Campaign Execution
- Intelligence, Measurement & Optimization18
- 4.1Marketing Performance Intelligence
- 4.2Campaign Performance
- 4.3Email Performance
- 4.4Engagement Metrics
- 4.5Outcome Metrics
- 4.6Website & Form Analytics
- 4.7Website Analytics concepts
- 4.8Form Analytics concepts
- 4.9Marketing KPIs
- 4.10Calculated Insights for Marketing KPIs
- 4.11Performance Measurement
- 4.12Optimization
- 4.13Measure campaign outcomes
- 4.14Learn from engagement data
- 4.15Identify winning approaches
- 4.16Recommend the next optimization action
- 4.17Phase 4 POC
- 4.18Review campaign outcomes, identify the winning approach and recommend the next optimization action
- Latest Releases & End-to-End POC33
- 5.1RCS
- 5.2Native RCS capabilities
- 5.3Rich Cards
- 5.4Interactive Suggestions
- 5.5Sender Identity concepts
- 5.6Audience & Growth
- 5.7Signup Flow capabilities
- 5.8Actionable Audience Targeting
- 5.9Content & Personalization
- 5.10Content Variants
- 5.11Personalization
- 5.12Marketing Objects
- 5.13Scripting awareness
- 5.14Campaigns
- 5.15AI-assisted Automation
- 5.16Collaboration
- 5.17Campaign Execution Enhancements
- 5.18Agentic Marketing
- 5.19Agent Templates
- 5.20Campaign Assistance
- 5.21Account Nurturing capabilities
- 5.22Messaging
- 5.23Recent Messaging enhancements
- 5.24WhatsApp-related capabilities relevant to market use cases
- 5.25Business Operations
- 5.26Business Unit considerations
- 5.27Content-sharing considerations
- 5.28Future Awareness
- 5.29Upcoming and Preview capabilities
- 5.30Clearly distinguish preview features from generally available features
- 5.31Phase 5 POC
- 5.32Connect all phases into an End-to-End Marketing Cloud Next POC
- 5.33Demonstrate the complete journey from Customer Data → Audience → Consent → Content → Campaign → AI/Agents → Messaging → Measurement → Optimization
