Pinard Publishing

Advanced Digital Marketing Strategy & Data Science

profile
Instructor

Riccardo Pinard

Reviews

0 (0 Reviews)

Course Overview

In an era defined by algorithmic volatility and the rapid integration of artificial intelligence, the role of the marketing leader has transitioned from creative director to a hybrid of data scientist and business strategist. The Advanced Digital Marketing Strategy & Data Science program is a rigorous, postgraduate-level curriculum designed to equip senior practitioners with the technical depth and strategic foresight required to lead enterprise-level growth in 2026.

This course moves beyond the tactical execution of digital channels to focus on the underlying systems that drive modern commerce. Students begin by establishing a Strategic Foundation, analyzing the microeconomics of the digital marketplace and the psychology of the “algorithmic consumer.” As the curriculum progresses into Systems & Operations, participants will deconstruct the Marketing Technology (MarTech) stack, learning to architect data infrastructures that support real-time, privacy-compliant decision-making.

The program places a heavy emphasis on Marketing Science. Rather than relying on vanity metrics, students will master advanced statistical methodologies, including Marketing Mix Modeling (MMM), Causal Inference, and Predictive CLV (Customer Lifetime Value). These analytical frameworks enable leaders to move from correlation-based reporting to proving the true incremental impact of their investments.

As the modules transition into Acquisition and Retention Engines, the focus shifts to steering automated AI platforms like Google’s Performance Max and Meta’s interest graphs. Students will learn to balance “Content Velocity”—the rapid scaling of AI-assisted creative—with high-level brand storytelling. The program culminates in a focus on Digital Transformation and Leadership, preparing graduates to manage cross-functional growth squads and navigate the complex ethical landscapes of generative AI and global data privacy regulations. Graduates will emerge as “Growth Architects,” capable of synthesizing complex data into a cohesive, 3-year strategic roadmap that aligns marketing outcomes with bottom-line profitability.

Affiliate Disclosure Some of the links on this website are affiliate links. This means that if you click on the link and make a purchase, I may earn a commission at no additional cost to you. These commissions help support the content, resources, and work I provide through this site. I only recommend products, services, and resources that I personally believe will provide value to my readers and align with the mission of this website. Your trust is important, and I am committed to transparency.

What You'll Learn?

  • We believe that strategic thinking has no hierarchy. This course is structured to provide value across the professional spectrum:
  • Junior Practitioners benefit by learning the "language of the boardroom," understanding how their daily tasks impact the company’s balance sheet.
  • Mid-Level Managers benefit by gaining the technical vocabulary to lead data science and dev teams, bridging the gap between creative and code.
  • Senior Executives benefit by gaining a high-level framework to oversee digital transformation and ensure ethical AI governance within their firm.

  • This course is built for the "Lifelong Learner." Whether you are just beginning your journey or are a veteran in the field, this program is designed for those who recognize that the digital landscape of 2026 requires a fresh, analytical perspective.

  • The Aspiring Specialist

  • Profile: Recent graduates or junior marketers looking to leapfrog traditional entry-level roles.

  • Motivation: You want to master the "hard skills" of the future—AI, data science, and automation—to become an indispensable asset to any modern marketing team.

  • The Career Pivoter

  • Profile: Professionals from finance, IT, or traditional business backgrounds.

  • Motivation: You have a solid professional foundation and want to translate your existing analytical or management skills into the high-growth digital economy.

  • The Strategic Leader

  • Profile: Managers, Directors, and CMOs.

  • Motivation: You need to move beyond managing "people" to managing "systems." You are looking to audit your organization's technology and lead with data-backed confidence.

  • The Entrepreneurial Builder

  • Profile: Founders and small business owners.

  • Motivation: You want to stop "guessing" what works and start building a predictable, scalable growth engine for your own venture.

  • To ensure this program remains inclusive while upholding postgraduate standards, we have removed traditional barriers in favor of intellectual curiosity and commitment.

  • Professional Curiosity: A strong desire to understand the "why" behind digital trends, not just the "how."

  • Foundational Literacy: Comfort with basic digital tools. You don’t need to be a coder, but you should be ready to engage with data dashboards and AI interfaces.

  • Time Commitment: An average of 10–12 hours per week for reading, lectures, and hands-on experimentation.

  • Resource Access: A computer with a stable internet connection and the ability to access cloud-based marketing tools (trial versions of most software will be utilized).

  • Open Mindset: A willingness to unlearn old marketing "rules of thumb" in favor of evidence-based, algorithmic strategies.

  • Note: While a prior degree is helpful, we prioritize relevant experience and a demonstrated aptitude for analytical thinking. We welcome applications from all backgrounds.

Course Content

  • Module 1: Foundations of Digital Marketing in a Data-Driven Economy

    • 1.1: Market Equilibrium in Digital Spaces: A Strategic Analysis

      00:04:37



    • Lesson: 1.2: The Algorithmic Consumer: Shaping Demand via AI

      00:04:54



    • 1.3: Digital Capital & Asset Valuation: Measuring Intangibles

      00:04:14



    • 1.4: Paradigms of Information Asymmetry: The Consumer Power Shift

      00:05:11



    • Paradigms of Information Asymmetry: The Consumer Power Shift

      00:10:00



    • 1.5: Marketing Theory Synthesis: Integrating 4Ps and 4Cs

      00:05:24



    • Module 1 Quiz: Unlocking Digital Frontiers: Mastering Marketing’s
  • Module 2: AI-Powered Marketing Strategy & Psychographics

    • 2.1: Psychographic Mapping: AI-Driven Consumer Clustering

      00:04:18



    • 2.2: Predictive Modeling: Forecasting Consumer Actions with AI

      00:04:34



    • Predictive Modeling: Forecasting Consumer Actions with AI

      00:10:00



    • 2.3: GenAI in Creative Strategy: Scaling Hyper-Personalization

      00:05:15



    • 2.4: Cognitive Bias in UX: Ethical Nudging & Strategy

      00:05:00



    • 2.5: Human-AI Collaboration: Designing Augmented Intelligence Workflows

      00:05:24



    • Module 2 Quiz: Unlocking AI's Secrets to Winning Marketing!
  • Module 3: Full-Funnel & CLV Modeling

    • 3.1: Mathematics of CLV: Historical vs. Predictive Analysis

      00:05:27



    • 3.2: Efficiency Ratios: Analyzing Sustainable Growth Thresholds

      00:05:15



    • 3.3: Nonlinear Journeys: Modeling the Messy Middle & Attribution

      00:06:00



    • 3.4: Churn Mitigation: Survival Analysis & Cohort Decay

      00:05:19



    • 3.5: Value Expansion Strategies: Mastering Upselling & Cross-Selling

      00:05:05



    • Mastering Module 3: The Exciting World of Funnels and CLV!
  • Module 4: Marketing Technology Stack & Data Infrastructure

    • 4.1: Data Orchestration & CDPs: Building a Single Source of Truth

      00:05:39



    • 4.2: API Economies: Strategic Data Flow & Integration

      00:05:00



    • API Economies: Strategic Data Flow & Integration

      00:10:00



    • 4.3: Marketing Technical Debt: Identifying & Mitigating Costs

      00:05:00



    • 4.4: Real-time Architectures: Infrastructure for Dynamic Pricing

      00:05:00



    • 4.5: Build vs. Buy Strategy: A Framework for Software Decisions

      00:05:00



    • Module 4 Quiz: The Ultimate Marketing Tech & Data Adventure!

    • Module 4 Quiz: The Ultimate Marketing Tech & Data Adventure!
  • Module 5: Data Analytics & Marketing Science

    • 5.1: Regression Analysis: Linear & Logistic Impact on Sales

      00:05:00



    • 5.2: Marketing Mix Modeling (MMM): Econometric Strategy & Optimization

      00:05:00



    • Marketing Mix Modeling (MMM): Econometric Strategy & Optimization

      00:10:00



    • 5.3: Causal Inference in Marketing: Proving Incremental Impact

      00:05:11



    • 5.4: Data Visualization for Executives: Designing Intuitive Dashboards

      00:04:00



    • 5.5: Bayesian Analytics: Updating Strategy via Probability

      00:04:25



    • Module 5 Quiz: Dive into Data: Unlocking the Secrets of Marketing Science
  • Module 6: Experimentation & Attribution

    • 6.1: Rigorous A/B Testing: Validating Experiments & Hypothesis

      00:05:00



    • 6.2: Algorithmic Attribution: Markov Chains vs. Shapley Values

      00:05:28



    • 6.3: Multi-Armed Bandits: Real-Time Traffic Optimization with ML

      00:05:00



    • 6.4: Privacy-Safe Attribution: Measurement in a Post-Cookie World

      00:05:00



    • 6.5: Building a Culture of Testing: Fail Fast, Learn Faster

      00:06:00



    • Module 6 Quiz: Test Your Knowledge: Experiment Like a Pro!
  • Module 7: Technical & Semantic SEO

    • 7.1: Entity-Based SEO: Mastering Semantic Search & Relationships

      00:05:17



    • 7.2: Architecture & Rendering: JavaScript, SSR & Core Web Vitals

      00:05:33



    • 7.3: SGE & Answer Engine Optimization: Ranking in AI Search

      00:05:42



    • 7.4: Advanced Schema Strategy: Mastering Complex JSON-LD Implementation

      00:06:00



    • 7.5: Semantic Content Audits: Boosting Topical Authority with NLP

      00:05:40



    • Semantic Content Audits: Boosting Topical Authority with NLP

      00:10:00



    • Module 7 Quiz: Master the Matrix: Dive into Module 7 of SEO Wizardry!
  • Module 8: High-ROI Paid Search & Performance Max

    • 8.1: Automated Bidding: Target ROAS & CPA in Competitive Auctions

      00:05:00



    • 8.2: PMax Architecture: Optimizing Asset Groups & Signals

      00:05:00



    • 8.3: Value-Based Bidding: Strategy for Profit-Driven Optimization

      00:05:00



    • Value-Based Bidding: Strategy for Profit-Driven Optimization

      00:10:00



    • 8.4: Google Ads Scripts: Automating Reporting & Adjustments

      00:04:00



    • 8.5: Search Incrementality: Measuring Brand vs. Non-Brand Lift

      00:05:45



    • Module 8 Quiz: Your Guide to High-ROI Search Strategies!
  • Module 9: Advanced Paid Social & Meta Ads Architecture

    • 9.1: Algorithmic Liquidity: Maximizing Signal Density for AI

      00:05:35



    • 9.2: Interest Graph vs. Social Graph: Strategic Hyper-Targeting

      00:05:00



    • 9.3: Creative as Targeting: Visual Strategy & Hook Analysis

      00:05:32



    • 9.4: Conversions API (CAPI): Server-Side Tracking Strategies

      00:05:00



    • 9.5: Social Commerce Strategy: Frictionless In-App Purchasing

      00:05:00



    • Module 9 Quiz: Mastering Meta Ads Magic: Unleash Your Social Superpowers!
  • Module 10: Content Strategy, Storytelling & Content Velocity

    • 10.1: Narrative Economics: Impact on Brand Equity & Loyalty

      00:05:33



    • Narrative Economics: Impact on Brand Equity & Loyalty

      00:10:00



    • 10.2: AI Content Velocity: Scaling Hero Assets for 2026

      00:05:15



    • 10.3: Creator Brand Integration: Strategic UGC & Influencer Partnerships

      00:05:35



    • 10.4: Semantic Content Maps: Aligning Intent & User Journey

      00:05:00



    • 10.5: Measuring Creative Efficiency: Computer Vision & Sentiment

      00:05:00



    • Module 10 Quiz: Unleash the Power of Words: Dive into the Content Strategy Universe!
  • Module 11: Email Lifecycle & Marketing Automation

    • 11.1: Behavioral Triggers: Optimizing Customer Lifecycle Interventions

      00:05:46



    • 11.2: Zero-Party Data Strategy: Collecting User Preferences

      00:05:00



    • 11.3: Predictive Personalization: AI & Next Best Action Strategy

      00:06:00



    • 11.4: Omnichannel Orchestration: Syncing Email, SMS & Push

      00:05:22



    • 11.5: Deliverability Science: SPF, DKIM, DMARC & Inbox Placement

      00:05:55



    • Module 11 Quiz: Email Lifecycle & Marketing Automation
  • Module 12: Retention & Loyalty Systems

    • 12.1: Loyalty Economics: Analyzing ROI & Points Liability

      00:05:27



    • 12.2: Habit Formation: The Hook Model & Digital Product Retention

      00:05:30



    • 12.3: Net Revenue Retention: NRR Strategy & Growth Accounting

      00:05:23



    • 12.4: Community as a Moat: Reducing Churn via Network Effects

      00:05:07



    • 12.5: Advocacy & Referrals: Viral Loops & K-Factor Strategy

      00:05:19



    • Module 12 Quiz: Retention & Loyalty Systems
  • Module 13: Conversion Rate Optimization (CRO) & UX

    • 13.1: LIFT Model Analysis: Value Prop, Clarity & Friction

      00:05:15



    • LIFT Model Analysis: Value Prop, Clarity & Friction

      00:10:00



    • 13.2: Heuristic UX Audits: Expert Interface Review Strategies

      00:05:00



    • 13.3: Qualitative Insights: Decoding the "Why" Behind the Data

      00:06:00



    • 13.4: Page Personalization: Dynamic Content & Visitor Intent

      00:05:20



    • 13.5: Mobile-First Optimization: UX Strategies for Conversion

      00:05:40



    • Module 13 Quiz: Conversion Rate Optimization (CRO) & UX
  • Module 14: Digital Transformation & Growth Hacking

    • 14.1: The North Star Metric: Defining Core Product Value

      00:05:00



    • 14.2: Agile Marketing Strategy: Implementing Sprints & Kanban

      00:05:00



    • 14.3: Cross-Functional Squads: Uniting Product, Marketing & Engineering

      00:05:00



    • Cross-Functional Squads: Uniting Product, Marketing & Engineering

      00:10:00



    • 14.4: Growth Loops: Sustainable Viral Engines & Flywheels

      00:05:00



    • 14.5: Change Management Strategies: Leading Digital Pivots

      00:05:00



    • Module 14 Quiz: Digital Transformation & Growth Hacking
  • Module 15: AI Marketing Operations, Ethics & Leadership

    • 15.1: AI Operations Strategy: Scaling AI with Governance Models

      00:05:00



    • 15.2: Ethics of Prediction: Balancing Personalization & Manipulation

      00:05:00



    • 15.3: Global Compliance Strategy: Navigating GDPR & CCPA

      00:05:00



    • 15.4: Stakeholder Management Strategy: Metrics to Business Outcomes

      00:05:00



    • 15.5: The Future of the CMO: Leading in an AI-Driven Era

      00:05:00



    • Module 15 Quiz: AI Marketing Operations, Ethics & Leadership
  • Course Conclusion: The Architect of the Future

    • Final Exam

    • Course Conclusion

      00:03:00



    • Appendix: The Executive Toolkit (2026 Edition)

No reviews yet. Be the first to leave one!


$99.99



  • Course Level
    Experts


  • Lessons
    86


  • Duration
    24 hr


  • Additional Resource
    0


  • Last Update
    February 2, 2026