AI for Data– Driven Marketing Strategy and Operations by Dr. Amar Massoud

What you'll learn

⚡ Prioritize AI marketing opportunities by value, readiness, feasibility, risk, and decision impact
⚡ Build KPI trees and AI-ready customer-data and CRM feedback foundations
⚡ Interpret forecasts, propensity, churn, lead quality, CLV, thresholds, lift, and drift
⚡ Turn predictions into governed segments, next-best actions, content, and CRM journeys
⚡ Design credible experiments, holdouts, guardrails, stopping rules, and action trees
⚡ Steer automated campaigns and budgets with reliable signals and business constraints
⚡ Operate a human-AI marketing control room with roles, service levels, monitoring, and governance
⚡ Present a measurable 90-day transformation roadmap and executive business case

Requirements

❗ Basic familiarity with campaigns, audiences, funnels, or customer journeys
❗ Comfort reading a simple performance report or spreadsheet
❗ No programming, statistics, data-science, paid platform account, or API key is required

Description

This course contains the use of artificial intelligence.
Stop treating AI as a collection of disconnected tools. This course shows you how to turn strategy, customer data, predictive analytics, CRM journeys, automated testing, campaign optimization, and governance into one accountable marketing decision system.
You will followNorthstar Retail Group, a fictional omnichannel retailer facing rising media spend, declining contribution margin, inconsistent data, and a missed holiday forecast. Across 30 motion-driven lessons you will diagnose the system, build its measurement and data foundation, interpret forecasts and customer scores, orchestrate personalization, run credible experiments, control campaign automation, and deliver a 90-day transformation plan.
What you will be able to do
✨ Select the right AI capability for a marketing decision, and prioritize use cases by value, readiness, feasibility, risk, and decision impact.
✨ Create an AI-ready data, identity, consent, event, and CRM feedback design that survives an audit.
✨ Interpret forecasts, propensity, churn, lead quality, CLV, lift, thresholds, and model drift without a data-science background.
✨ Build governed segments, next-best actions, content workflows, and CRM journeys with suppression rules.
✨ Design A/B tests, holdouts, incrementality studies, guardrails, and stopping rules that force a business decision.
✨ Steer automated bidding, creative, audiences, placements, and budgets with real business constraints.
✨ Operate a human-AI marketing control room with roles, service levels, monitoring, and responsible-AI governance.
✨ Present a measurable 90-day roadmap, an operating scorecard, and an executive business case.
What is included
Seven section quizzes, four practical assignments, two guided labs, a final capstone, a 30-question practice exam, complete worked Northstar solutions, and a resource pack with more than 30 reusable templates you can copy straight into your own organization.

Who this course is for

⭐ Marketing, growth, CRM, lifecycle, and marketing-operations professionals
⭐ Performance marketers, analysts, product marketers, agencies, and consultants
⭐ Entrepreneurs and business owners responsible for marketing investment
⭐ Early-career learners and career switchers seeking an end-to-end operating model

Homepage

https://www.udemy.com/course/ai-for-data-driven-marketing-strategy-and-operations-x

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