
Growth Marketing Manager Course
Master the skills that define today's most effective growth marketing managers — from funnel strategy and experimentation to data analytics and revenue optimisation. This course gives you a complete, practical framework for driving measurable business growth. Build the expertise that companies are actively hiring for right now.
What you'll learn:
You will learn how to define North Star Metrics, structure growth teams, and apply the AARRR funnel framework to any product. You will develop hands-on analytics skills, including cohort analysis, attribution modelling, and dashboard design. You will run rigorous A/B tests, build acquisition channel strategies grounded in unit economics, and optimise onboarding flows to improve activation rates. You will also master retention systems, monetisation tactics, and pricing strategy. By the end, you will have a complete 90-day growth roadmap ready to execute.
How you study in practice Growth Marketing Manager Course
How you practise Growth Marketing Manager Course
For businesses looking to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the way your company needs.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Growth Marketing
Foundations of Growth Marketing
Lesson 1 • Growth Team Structure and Roles
Outline how cross-functional growth teams are organised and how roles interact. Sets expectations for collaboration skills developed later.
Lesson 2 • The Growth Funnel Model
Map the full customer journey from awareness to referral using the AARRR framework. Provides the structural lens used in every subsequent chapter.
Lesson 3 • Growth Marketing vs. Traditional Marketing
Contrast growth marketing's data-driven, iterative approach with brand-led traditional methods. Establishes the mindset shift required throughout the course.
Lesson 4 • North Star Metric and KPIs
Define a single North Star Metric that reflects core product value and align supporting KPIs to it. Prevents metric confusion in later strategy work.
Chapter 2HideHide detailsSee detailsData Analytics for Growth Marketers
Data Analytics for Growth Marketers
Lesson 1 • Building Growth Dashboards
Design dashboards that surface the metrics most relevant to growth decisions in real time. Connects KPI frameworks from Chapter 1 to live data.
Lesson 2 • Attribution Modelling
Evaluate how credit for conversions is assigned across marketing touchpoints. Accurate attribution is essential for budget allocation decisions.
Lesson 3 • Core Analytics Concepts
Introduce sessions, events, funnels, and cohorts as the building blocks of growth analytics. Grounds all later data work in shared vocabulary.
Lesson 4 • Qualitative Data and User Research
Complement quantitative data with surveys, interviews, and session recordings to understand the why behind behaviour. Informs hypothesis generation for experiments.
Lesson 5 • Behavioural Data and Segmentation
Segment users by behaviour, demographics, and lifecycle stage to uncover growth opportunities. Feeds directly into targeting and personalisation strategies.
Chapter 3HideHide detailsSee detailsExperimentation and A/B Testing
Experimentation and A/B Testing
Lesson 1 • A/B and Multivariate Test Design
Design controlled experiments that isolate variables and produce reliable results. Covers test types appropriate for different traffic levels and goals.
Lesson 2 • Hypothesis Development
Translate data insights and user research into structured, testable hypotheses. Strong hypotheses are the foundation of every valid experiment.
Lesson 3 • Learning Documentation and Iteration
Capture experiment results in a shared knowledge base to compound learning over time. Prevents repeated mistakes and accelerates future test design.
Lesson 4 • Statistical Significance and Confidence
Interpret p-values, confidence intervals, and statistical power to make valid test decisions. Prevents false positives that waste resources.
Lesson 5 • Experiment Velocity and Prioritisation
Build systems to run more experiments faster without sacrificing rigour. High velocity is a competitive advantage in growth.
Chapter 4HideHide detailsSee detailsAcquisition Channel Strategy
Acquisition Channel Strategy
Lesson 1 • Referral and Viral Acquisition
Design referral programmes and viral loops that turn existing users into an acquisition channel. Lowers CAC by leveraging network effects.
Lesson 2 • SEO and Content-Led Acquisition
Drive sustainable organic traffic through keyword strategy, content creation, and technical site health. Builds long-term acquisition assets.
Lesson 3 • Channel Fit and Audience Mapping
Match acquisition channels to target audience behaviour and product type. Prevents wasted spend on channels misaligned with the customer profile.
Lesson 4 • Unit Economics of Acquisition
Calculate CAC, LTV, and payback period to evaluate channel profitability and set sustainable spend limits. Connects acquisition to business viability.
Lesson 5 • Paid Search and Social Advertising
Build and optimise paid campaigns across search and social platforms using audience targeting and bid strategies. Directly drives measurable acquisition volume.
Chapter 5HideHide detailsSee detailsActivation and Onboarding Optimisation
Activation and Onboarding Optimisation
Lesson 1 • In-App Messaging and Tooltips
Use contextual in-app messages, tooltips, and checklists to guide users toward activation actions. Complements flow design with real-time behavioural nudges.
Lesson 2 • Onboarding Experimentation
Apply A/B testing frameworks from Chapter 3 specifically to onboarding flows to systematically improve activation rates. Closes the loop between testing and activation.
Lesson 3 • Defining and Measuring Activation
Identify the specific actions that signal a user has experienced core product value. A precise activation definition enables accurate measurement and optimisation.
Lesson 4 • Onboarding Flow Design
Map and design the step-by-step journey that guides new users to activation efficiently. Reduces friction and drop-off in the critical first session.
Lesson 5 • Email Onboarding Sequences
Build automated email sequences that re-engage users who stall before activation. Extends onboarding beyond the product interface.
Chapter 6HideHide detailsSee detailsRetention and Engagement Strategy
Retention and Engagement Strategy
Lesson 1 • Retention Metrics and Benchmarks
Define Day 1, Day 7, and Day 30 retention rates and interpret retention curves. Establishes the measurement baseline for all retention work.
Lesson 2 • Loyalty and Rewards Programmes
Design loyalty mechanics that increase purchase frequency and emotional brand attachment. Complements behavioural retention with structured incentive systems.
Lesson 3 • Habit Formation and Engagement Loops
Apply behavioural psychology models to design product features and communications that build user habits. Habit formation is the engine of long-term retention.
Lesson 4 • Churn Prediction and Prevention
Identify leading indicators of churn and intervene before users disengage permanently. Proactive prevention is more cost-effective than win-back.
Lesson 5 • Push, Email, and SMS Retention Campaigns
Design multi-channel re-engagement campaigns triggered by behavioural signals to bring lapsing users back. Directly improves Day 30 and Day 90 retention rates.
Chapter 7HideHide detailsSee detailsRevenue Optimisation and Monetisation
Revenue Optimisation and Monetisation
Lesson 1 • Subscription and Recurring Revenue Growth
Optimise subscription billing, trial-to-paid conversion, and renewal rates for recurring revenue models. Directly impacts MRR and ARR growth.
Lesson 2 • Revenue Experimentation Framework
Apply structured experimentation to pricing pages, paywalls, and upgrade flows to compound revenue gains. Integrates Chapter 3 testing rigour into monetisation.
Lesson 3 • Conversion Rate Optimisation
Systematically improve the percentage of users who complete purchase or upgrade actions. Applies experimentation skills to revenue-critical pages and flows.
Lesson 4 • Upsell and Cross-Sell Strategies
Design in-product and email upsell flows that increase average revenue per user without harming retention. Expands revenue from the existing user base.
Lesson 5 • Pricing Strategy for Growth
Evaluate value-based, freemium, and tiered pricing models and their impact on acquisition and LTV. Pricing is a growth lever, not just a finance decision.
Chapter 8HideHide detailsSee detailsGrowth Strategy and Roadmap Planning
Growth Strategy and Roadmap Planning
Lesson 1 • Cross-Functional Alignment and Buy-In
Secure commitment from product, engineering, and leadership to execute the growth roadmap. Execution fails without organisational alignment.
Lesson 2 • OKR and Goal-Setting for Growth
Translate business objectives into measurable growth OKRs that align team effort to company priorities. Prevents misaligned work and wasted resources.
Lesson 3 • Measuring and Iterating on Growth Strategy
Establish a regular cadence for reviewing strategy performance and adjusting based on results. Continuous iteration is what separates good growth teams from great ones.
Lesson 4 • Growth Audit and Opportunity Sizing
Conduct a full-funnel audit to identify the highest-impact growth opportunities across acquisition, activation, retention, and revenue. Grounds strategy in data.
Lesson 5 • Building the 90-Day Growth Roadmap
Sequence experiments, campaigns, and product initiatives into a realistic 90-day execution plan. Balances quick wins with longer-term strategic bets.
Your valid completion certificate
This course is for you:
Digital marketer: ready to move beyond execution into strategy and ownership.
Product manager: wanting to add growth experimentation skills to their toolkit.
Startup founder: seeking a repeatable system to scale user acquisition and retention.
Marketing analyst: looking to translate data skills into cross-functional growth leadership.
Career changer: transitioning from sales or operations into a growth-focused marketing role.
Brand marketer: shifting toward performance and data-driven growth methodologies professionally.
What our students say
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