Advanced Google Analytics 4: Optimization and Attribution

Board Infinity via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

16 hours 7 minutes
Sessions

Self-Paced
Level

Advanced
Subtitles

English

Found in

Overview

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Learn how to optimize marketing performance using Google Analytics 4 (GA4), Google Ads, Looker Studio, and BigQuery in this advanced analytics course. This hands-on training helps marketers automate insights, analyse attribution paths, and build AI-driven dashboards to improve campaign ROI using modern marketing analytics strategies. In Module 1, you will begin by learning how to connect GA4 with marketing and reporting tools. The course shows how to integrate GA4 with Google Ads and Looker Studio to automate reporting and generate faster insights. Next, you will explore advanced audience segmentation to create predictive audiences and apply personalization strategies using GA4 data. You will also learn multi-touch attribution analysis to understand how different marketing channels contribute to conversions and how to optimize campaign budgets using GA4 attribution models. The course ends with a practical capstone project where you build dashboards, automate reporting workflows, and design a campaign optimization plan. By the end, you will: • Build automated GA4 dashboards using Looker Studio • Create predictive audiences and personalization strategies • Analyse attribution models to improve campaign ROI • Integrate GA4 with Google Ads and BigQuery • Develop a data-driven campaign optimization strategy This course is ideal for: • Digital marketers optimizing campaigns with GA4 • Marketing analysts learning advanced analytics • Professionals upgrading Google Analytics skills • Marketing teams seeking automated reporting Start applying advanced GA4 techniques to make smarter marketing decisions with confidence. Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.

Syllabus

Integrating AI and GA4 for Advanced Insights

This module introduces learners to the power of combining Google Analytics 4 with AI-driven marketing tools to create automated, intelligent insight systems. It explores how GA4 integrates seamlessly with Google Ads, Looker Studio, BigQuery, and natural-language analytics to unlock cross-platform visibility. Learners gain hands-on experience connecting data pipelines, configuring integrations, and validating data accuracy across platforms. The module also focuses on AI-assisted reporting—using chat-based analytics, automated summaries, and natural-language queries to speed up decision-making. Finally, students learn essential governance and data integrity practices to prevent errors from being amplified across automated systems. By the end of this module, learners will understand how GA4 functions as the analytical backbone of an AI-enhanced marketing ecosystem and be able to build reliable, automated insight workflows.

Predictive Audience Segmentation and Personalization

This module teaches learners how to harness GA4’s predictive metrics to build smarter, high-impact audience strategies. It begins with the foundations of predictive segmentation—showing how purchase probability, churn likelihood, and behavioral patterns can be used to construct forward-looking audience groups. Learners then explore how these segments integrate with Google Ads to deliver personalized campaigns, dynamic creative optimization, and message tailoring at scale. The module also covers how to measure personalization performance using GA4 reports, analyze uplift, and validate whether predictive strategies are driving meaningful results. Finally, students learn how to refine segmentation rules, manage audience overlap, and maintain scalable, AI-driven targeting frameworks. By the end, learners will be able to design, activate, and optimize predictive audiences that enhance targeting accuracy, improve engagement, and support data-driven personalization across channels.

Attribution Analysis and Optimization

This module gives learners a deep understanding of how attribution models shape marketing decisions, ROI evaluation, and budget allocation. It begins by breaking down the differences between rule-based and data-driven attribution, helping learners understand how each model distributes credit across touchpoints. Students then analyze how attribution settings in GA4 influence performance insights, compare model outcomes, and build custom attribution reports to visualize results. The module also teaches how to interpret ROI shifts under different models and use attribution outputs to make smarter spending decisions. Through scenarios and guided examples, learners practice reallocating budgets, planning optimization actions, and identifying high-value channels based on multi-touch paths. By the end of this module, participants will be able to confidently analyze attribution data, evaluate its business impact, and apply insights to improve campaign efficiency and strategic investment.

Capstone — AI-Driven Campaign Optimization Plan

This final module brings together all the skills learned in the course and guides learners through designing a complete, AI-driven campaign optimization plan. It begins with defining objectives, KPIs, and selecting the right GA4 datasets to build a strong analytical foundation. Learners then execute a full optimization analysis by integrating predictive metrics, segmentation insights, and attribution findings to uncover performance opportunities. The module also covers how to document insights clearly, design executive-ready dashboards in Looker Studio, and communicate recommendations with persuasive storytelling. Finally, students will prepare and present a polished optimization report supported by evidence, forecasts, and strategic actions. By the end of this capstone, learners will be able to deliver a professional, AI-powered optimization plan that demonstrates mastery of advanced analytics and real-world marketing decision-making.