📈 Become a Data-Driven Marketing Leader with AI-Powered Intelligence!
In today’s competitive landscape, marketing success depends on more than just creativity — it requires intelligent use of data, AI, and automation.
This Marketing Intelligence Masterclass is your step-by-step guide to transforming traditional marketing strategies into data-driven, AI-powered systems that work at scale.
Whether you’re a marketer, analyst, business owner, or aspiring growth strategist, this course will show you how to integrate analytics, machine learning, automated workflows, and marketing platforms to gain deep insights, improve targeting, and optimize your ROI.
✅ What You’ll Learn:
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What is Marketing Intelligence and how it works
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Using data analytics to drive smarter marketing decisions
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Introduction to AI tools for marketers (ChatGPT, Claude, Bard, etc.)
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Predictive analytics & customer behavior modeling
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Automating customer segmentation and personalization
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Integrating marketing data from multiple sources (Google, Meta, CRM, etc.)
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Real-time dashboards and marketing performance tracking
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How to set up automated marketing intelligence pipelines
✅ Technologies & Tools Covered:
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ChatGPT / OpenAI / Claude AI
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Google Analytics 4 (GA4)
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HubSpot / Salesforce / Zoho CRM
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Google Looker Studio (Data Studio)
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Excel / Power BI
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Zapier / Make (Integromat)
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Segment, BigQuery, SQL (Intro level)
✅ Who This Course Is For:
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Digital marketers and growth hackers
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Marketing managers and strategists
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Business owners and startup founders
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Data analysts interested in marketing
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Students exploring modern marketing careers
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11 - Introduction
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22 - Learn how DS can drive Marketing Strategy Decision Making
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33 - Data Science LifeCycle ML Algorithm
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44 - GenAI LLMs
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55 - Understanding Consumer Behavior Through Data Analysis Segmentation
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66 - Behavioral Segmentation Mini Project Demo
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77 - Predictive Modelling of Customer Lifetime ValueCLV
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88 - Customer Journey Mapping
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99 - Explore Techniques for Personalized Marketing Targeted Advertising
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1010 - Predictive Lead Scoring using Machine Learning Models
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1111 - Demo
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1212 - Machine Learning for Realtime Personalization
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1313 - Market Mix Modeling
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1414 - Introduction
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1515 - Practical Implementation
Lessons:
