Growth Marketing Pro: Campaigns, Analytics & Automation

Who needs this Growth Marketing Pro course?

This course is designed for:

• Marketers moving from execution to growth ownership, whose weekly reports stop at platform numbers without explaining what those numbers mean for the business.
• Campaign owners responsible for paid-media planning, budgets, and channel decisions, who need to justify where the next riyal should go and why.
• Performance marketers responsible for connecting spend to business outcomes, who need to separate campaign performance issues from tracking, measurement, or attribution issues.
• Marketing coordinators supporting tracking, reporting, and delivery, who need to catch setup gaps before campaigns go live.
• Marketing professionals who report performance to stakeholders and need to separate facts, interpretation, and the action that should follow.
• Team leads overseeing paid campaigns without a dedicated analytics team, who still own questions about tracking, dashboards, and budget decisions.

What are the skills acquired from this Growth Marketing Pro course?

By completing this course, learners will gain the ability to:

• Allocate budget according to buying intent, campaign role, and business objectives rather than platform preference.
• Identify tracking, naming, and conversion-event issues before they compromise the data used for campaign decisions.
• Distinguish a campaign performance issue from a measurement or attribution issue before deciding whether the campaign itself needs to change.
• Interpret performance signals together to diagnose what changed before deciding what to optimize next.
• Explain attribution limits without overstating what the available data can prove.
• Design tests around one clear hypothesis and one success metric, then use the evidence to prioritize the next optimization decision.
• Assess lead quality through fit and engagement signals, and define when a lead should move from marketing to sales.
• Synthesize campaign planning, measurement, CRM, automation, workflow, and B2B considerations into clear recommendations for leadership review.

Module 1: Performance Marketing Strategy and Channel Planning

1. Performance marketing compared with general digital promotion
2. Campaign objectives, funnel stages, and buying intent
3. Channel roles across Google Search, Meta, LinkedIn, TikTok, and X
4. Audience selection, exclusions, and campaign-role rules before launch
5. Practical output: Paid Media Channel Plan

Module 2: Campaign Structure, Budgeting and Bidding

1. Campaign architecture as a measurement design choice
2. Campaigns, ad sets, audiences, and creatives in practice
3. Budget allocation based on learning needs and conversion quality
4. Bidding approaches, seasonality, and market timing
5. Practical output: Budget and Campaign Structure Worksheet

Module 3: Tracking, Conversion Setup and Privacy Basics

1. Tracking as part of campaign design
2. UTM parameter governance and naming rules
3. Pixels, tags, Google Tag Manager, and Google Analytics 4 events
4. Conversion events, consent, and privacy realities
5. Practical output: Tracking Plan and UTM Governance Sheet

Module 4: Analytics, Attribution and Dashboard Reporting

1. Core paid-media metrics: click-through rate (CTR), cost per click (CPC), cost per lead (CPL), cost per acquisition (CPA), and return on ad spend (ROAS)
2. Metric relationships for performance diagnosis and optimization decisions
3. Attribution models, practical interpretation, and limitations
4. Google Analytics 4 reporting and dashboard storytelling around the decision the report must support
5. Practical output: Campaign Performance Dashboard Outline

Module 5: Optimization, Testing, CRO and Remarketing

1. Optimization as a repeatable learning cycle
2. Testable hypotheses and success metrics defined before testing
3. CRO and landing-page quality within campaign performance
4. Remarketing segments, exclusions, and tests prioritized by impact and effort
5. Practical output: Optimization Backlog

Module 6: CRM, Lead Scoring and Marketing Automation

1. Customer relationship management as the system for lead and customer data
2. Lifecycle stages and segmentation for automation
3. Lead scoring using fit and engagement signals
4. Nurture workflows and automation governance rules
5. Practical output: Lifecycle Automation Map

Module 7: Marketing Productivity and Workflow Automation

1. Productivity as a growth capability
2. Campaign workflow from brief to launch checklist to learning log
3. Launch checklists and workflow automation use cases
4. Content repurposing under governance without sacrificing speed
5. Practical output: Campaign Workflow Pack

Module 8: B2B and Product Marketing Essentials

1. B2B buying dynamics and buying committee participants
2. Ideal Customer Profile versus persona and the decision each supports
3. LinkedIn campaign role, lead quality, and sales handoff
4. Product positioning, messaging, and competitive analysis
5. Practical output: ICP and Product Messaging One-Pager

Module 9: Capstone: Launch, Measure and Optimize

1. Integration of channel planning, campaign structure, tracking, dashboards, and automation
2. 90-day campaign execution roadmap
3. Results analysis by separating facts, interpretation, and action before the next change
4. Practical output: Campaign Launch and Optimization Memo