Advanced Digital Marketing: Full-Funnel Growth, Analytics & Automation Masterclass
Digital MarketingMaster full-funnel digital marketing, SEO, paid ads, GA4 measurement, CRO, attribution, CRM automation, retention economics and ethical AI workflows through 25 text lessons with 50 embedded infographics and 50 final exam questions.
Course overview.
Advanced Digital Marketing: Full-Funnel Growth, Analytics & Automation MasterclassFREE advanced course | 25 text-based learning steps | 50 embedded educational infographics | 50-question final exam | 75% pass thresholdDevelop a professional, evidence-driven growth system from customer research to measurement, acquisition, conversion, lifecycle automation and retention. This course focuses on advanced strategy and operational decision-making rather than platform-button tutorials. Each lesson contains two self-contained Base64 PNG infographics inside its Rich Text lesson content, a worked case, a practical assignment, diagnostic guidance, metrics and a takeaway.Learning outcomesTranslate business objectives into a measurable customer-value growth model.Design need-based segmentation, positioning and lifecycle journeys.Specify analytics events, campaign tagging, QA and trustworthy reporting.Separate attribution reports from causal incrementality estimates.Run CRO research, A/B experiments, and SEO/content/paid-media systems.Build permission-based email journeys, CRM scoring and automation rules.Model retention, contribution margin, CAC, MER and budget scaling.Apply privacy, claim verification and human-reviewed AI operations.Deliver a defensible 90-day integrated growth plan.Course format25 self-paced text lessons, 2 embedded analytical images per lesson (50 total) and 50 MCQs with explanations. Every numerical chart is a synthetic educational example, not an industry benchmark or a promise of business performance. Certificate eligibility is subject to Chainbey Learning completion and verification requirements.Important noteSpecific analytics interfaces, advertising platform policies, privacy laws and deliverability requirements can change and vary by region. Check current official documentation and seek qualified legal guidance where necessary. The program is educational and does not guarantee marketing results.
Course curriculum.
25 learning steps
Step 1 · Growth Strategy, North Star Metrics & Unit Economics TEXT · Preview available
Growth Strategy, North Star Metrics & Unit Economics
Learning objectives
Connect acquisition activity with customer value rather than optimizing disconnected vanity metrics.
Infographic 1 — Strategic framework
Framework illustration — the sequence is a planning aid, not a universal mandatory workflow.
Core lesson
1. A growth model begins with a business objective, a target customer and a measurable value event. A North Star metric is useful only when it reflects customer value and is paired with financial and quality guardrails.
2. Build a driver tree from qualified reach to activation, retention, monetization and referrals. Define the owner, source and observation window for every metric so weekly decisions are comparable.
3. Distinguish leading indicators, such as activated trials, from lagging outcomes, such as retained revenue. Avoid treating clicks or impressions as evidence of durable growth.
4. Write the operating assumptions explicitly: gross margin, refund rate, variable fulfillment cost, capacity, purchase frequency and time-to-payback all shape a viable marketing target.
Infographic 2 — Analytical example
All chart numbers are synthetic examples for practice, not platform or industry benchmarks.
Worked example
A hypothetical learning business reaches 20,000 visitors, registers 1,200 leads, activates 360 learners and converts 72 to paid enrollment. Visitor-to-lead = 6%; lead-to-activated = 30%; activated-to-paid = 20%. Diagnose the largest preventable drop rather than celebrating visits.
Practical assignment
Draw a 4-level metric tree for one course business. Define a North Star candidate, three drivers, two guardrails and a weekly review owner.
Measurement and decision criteria
Recommended metrics: Qualified activation rate, retained customers, contribution per acquisition, payback period.
Explain your measurement window, segment, denominator and data quality assumptions. Make a recommendation, including an alternative explanation and a condition under which you would reverse the recommendation.
Common error to avoid
Maximizing traffic while refund rate, retention and contribution margin deteriorate.
Practitioner checklist
- I can define the business question and target audience.
- I can explain the mechanism connecting activity to outcome.
- I can identify one credible measurement source and a caveat.
- I can complete the applied exercise and propose a next decision.
Key takeaway
An advanced strategy optimizes the full value chain, not a channel dashboard.
Step 2 · Customer Research, JTBD & Segmentation TEXT · Preview available
Customer Research, JTBD & Segmentation
Learning objectives
Translate customer motivations and real behavior into actionable audiences and messages.
Infographic 1 — Strategic framework
Framework illustration — the sequence is a planning aid, not a universal mandatory workflow.
Core lesson
1. Jobs-to-be-Done asks which progress a customer is seeking in a specific situation. Interview recent buyers, non-buyers and churned customers separately so only enthusiastic users do not dominate the evidence.
2. Blend qualitative discovery with behavioral data: problem frequency, trigger, purchase barriers, current alternatives and willingness to change. Segment by a relevant need and observable behavior, not demographic labels alone.
3. Create evidence-backed personas with explicit assumptions. A persona is not proof until interview and performance data support the hypothesized pains, contexts and decision rules.
4. Prioritize segments by addressable demand, product fit, economic value, serviceability and ability to reach them ethically.
Infographic 2 — Analytical example
All chart numbers are synthetic examples for practice, not platform or industry benchmarks.
Worked example
Two course prospects may both be 30 years old. One wants an employment portfolio in 30 days; another wants structured skill building over six months. Their landing pages and proof requirements should differ even when their demographics match.
Practical assignment
Conduct a five-interview mini-study using non-leading questions. Extract triggers, desired outcomes, objections and verbatim language. Create two need-based segments.
Measurement and decision criteria
Recommended metrics: Research coverage, segment activation, objections by segment, qualified lead rate.
Explain your measurement window, segment, denominator and data quality assumptions. Make a recommendation, including an alternative explanation and a condition under which you would reverse the recommendation.
Common error to avoid
Confusing fictional persona narratives with validated customer evidence.
Practitioner checklist
- I can define the business question and target audience.
- I can explain the mechanism connecting activity to outcome.
- I can identify one credible measurement source and a caveat.
- I can complete the applied exercise and propose a next decision.
Key takeaway
Segments are useful when they change a decision about offer, message or journey.
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