Marketing and Technical Analytics using Google AI

This course has integrated digital marketing strategies with Google AI to help trainees analyze user behavior, campaign performance, and market trends. They learn Google Analytics, AI-driven insights, and data interpretation techniques. At Cronus Consultants, practical assignments simulate real marketing campaigns to improve their analytical and technical efficiency. Trainees learn to optimize marketing strategies with AI, enabling them to drive measurable business growth in competitive digital ecosystems.

Why choose Cronus Consultants to learn Google AI-driven marketing analytics?

This course integrates Google AI tools with marketing analytics to enable learners to work on campaign optimization, audience insights, and predictive analytics. At Cronus Consultants, they gain hands-on experience with real datasets, automation techniques, and AI-driven reporting. From this course, the professionals bridge marketing strategy with technical execution.

Curriculum Overview

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The AI landscape in marketing: Shifting from descriptive to predictive analytics.
Setting up GA4 for AI: Advanced data collection, linking Google Ads, and custom event tracking.
Privacy and data ethics: Adapting to cookie-less systems with consent mode.
Introduction to generative AI: Using Gemini for marketing strategy brainstorming and planning.

AI-powered keyword research: Focusing on search intent using AI clustering.
Technical AI search optimization (AISO): Schema markup, site speed optimization, and log file analysis.
Content generation and optimization: Using AI to improve content, metadata, and topical authority.
Google Search Console & AI: Analyzing query performance and identifying technical errors.

Segmentation and audience analysis: Creating predictive audiences using BigQuery ML.
Behavioral flow analysis: Identifying user journey bottlenecks.
Conversion modeling and attribution: Using machine learning to understand campaign impact.
Practical session: Setting up BigQuery with Google Analytics 4 for deeper data analysis.

Performance Max campaigns: Using Google AI to automate ad placements across channels.
Smart bidding strategies: Using AI to optimize for CPA/ROAS.
Ad copy and creative optimization: Using generative AI to create effective ad variations.
Competitor intelligence: Using AI tools for ad transparency and keyword gap analysis.

Building automated dashboards: Creating real-time, actionable dashboards in Looker Studio.
AI-driven reporting: Using AI insights to create automated executive reports.
Data narratives: Creating stories from data to inform decisions.

Hands-on project: Developing a marketing funnel, tracking plan, and dashboard.
Real-world case studies: Analyzing successful AI implementations (e.g., in e-commerce or SaaS).
AI and personalization: Using AI for real-time personalization and CRM integration.