Master Google Analytics 4 Reports and GTM Basics

Explore beginner traffic data in Google Analytics, analyzing user trends, anomalies, and patterns across time ranges to infer marketing insights for e-commerce and B2B contexts.

Explore how to analyze website traffic in GA4 using the user acquisition report, distinguishing direct, organic, and referral sources, and interpret spikes across channels for data-driven insights.

Explore how GA4 defines users and visitors, including total, new, active, and returning users, and learn how events and first-visit interactions shape your traffic analysis through cookies and client ids.

Learn to track channels, sources, and mediums with utm parameters in Google Analytics 4, and classify traffic by campaigns, terms, and source medium for precise reports.

Customize channel groups in Google Analytics 4 by creating groups with conditions like UTM medium contains email, then apply them in reports to organize traffic by source and campaign.

Identify relevant traffic by building audience profiles through segmentation and targeting, using Google Analytics to analyze visitors' devices, behavior, and product interests like hiking gear and groceries.

Explore GA4 demographics of visitors, analyzing user attributes by country, city, gender, age, and interests, with examples like technology, media and entertainment, travel buffs, and unknown age data.

Explore Google Analytics 4 device analytics to understand visitors by operating system, browser, and screen resolution across web and apps, and use these insights to tailor marketing and product strategy.

Identify user attributes and build audiences in Google Analytics to analyze behavior, using events and user properties like add to cart and non-purchasers.

learn how to gather user details for Google Analytics using events and custom audiences, utilizing quick popups to reveal interests in hiking, travel, or cycling products while respecting privacy.

Explore the explore section in Google Analytics to build custom segment overlap reports, comparing up to three segments like paid traffic, mobile devices, and add to cart users.

Discover how Google Analytics channels website data into an account via data streams and a measurement id, using a JavaScript code in the head sections of pages to fire events.

Explore how Google Analytics models data through events—automatic, recommended, custom, and enhanced—using measurement ID and Google Tag Manager to capture page views, menu clicks, and view item lists.

Explore how GA4 events transmit user-scoped and event-scoped data, configure event parameters and user properties in Tag Manager or code, and model data to reveal audience segments like hoodie lovers.

Explore how Google Tag Manager connects your website to GA4 from a non-developer perspective, using containers, measurement IDs, tags, triggers, and variables to capture page views and events.

Analyze events in Google Analytics 4 to measure website engagement, examining view search results, view item, and purchase events, and how event parameters and GTM enable deeper revenue insights.

Explore page-level analytics in Google Analytics 4, analyzing pages and screens, engagement time, and key events like add to cart and purchase to optimize conversions.

Explore the path exploration report to map the visitor journey from page titles to events like view item and add to cart, revealing leakage and funnel dynamics on e-commerce pages.

Discover the four GA4 event types: automatically collected, enhanced measurement, recommended, and custom events. Learn how to configure them, use data streams, and leverage GTM for advanced setup.

Master GA4 enhanced measurement by turning on and configuring pre-built events like page views, scrolls, outbound clicks, site search, form interactions, video engagement, and file downloads across data streams.

Identify how key events, the renamed conversions in GA4, are managed in admin data display to mark purchases and other actions for analysis in traffic acquisition reports.

Explore cohort analysis reports in Google Analytics to measure visitor sustainability, retention, repeat visitors, and return on spend, guiding profitable marketing decisions.

Explore Google Analytics 4 retention reports to analyze new and returning users, cohort retention, and engagement trends with forward-looking day-by-day cohorts.

Explore the cohort exploration report in Google Analytics 4 to analyze new user cohorts, retention, and conversions over weekly, daily, or monthly granularity, with customizable event and metric views.

Explore how GA4 tracks individual user actions with the user explorer report, client IDs, and events like view item and add to cart, plus user ID tracking for targeting.

Explore the concept of user ID tracking in Google Analytics, linking a user ID to CRM data with permission to stitch visits across devices, implementing via data layer or cookies.

Explore funnel concepts in Google Analytics 4, tracing user steps from product views to checkout, and learn how open and closed funnels reveal drop-offs and funnel strength for optimization.

Master funnel-based goal analysis in Google Analytics by building journeys from visits to product views to purchases, customizing steps, analyzing drop-offs, and using device and country segments to optimize outcomes.

Examine retention and lifetime value to quantify user value over time, understand purchases and stagnation, and define conversions and events for e-commerce and meetings.

Explore monetization reports in Google Analytics 4, including ecommerce revenue, ad revenue, and in-app purchases, and learn to analyze revenue by item, brand, purchaser type, and data modeling.

Explore what attribution modeling is and why it matters, using multi-channel journeys to illustrate first-click credit allocation and its limitations for guiding marketing spend.

Compare attribution models from first click to data driven, including last click, linear, position-based, and time decay. See how Analytics uses last-click and data driven credit to allocate conversions.

Explore attribution modeling reports in Google Analytics 4 by comparing models like last-click and linear, and evaluate revenue and conversions across channels, sources, and conversion paths.

Learn how to model website data for analytics by mapping business questions to user interactions and events. Explore funnel-based insights, event naming, and scalable data structures to handle complex sites.

Design data models for an e-commerce site by mapping events and parameters to reveal how users navigate from product views to checkout, enabling funnel-based insights.

Model a typical ecommerce funnel in Google Analytics 4, tracing the customer journey from first visit to purchase and using event parameters to track product views, add-to-cart, and checkout.

Learn ecommerce data modeling with Google Analytics 4, mapping events from view item list to purchase, including variants, transaction details, and key events like add to cart and checkout.

Learn to model Google Analytics 4 data for non-standard websites by creating homogeneity across heterogeneous flows, mapping to GA concepts like view item, view item list, and add to cart.

Model heterogeneous website interactions into GA4 events—view item, view item list, add to cart, checkout, and purchase—to form a unified funnel across pages.

Revisit monetization reports in Google Analytics 4 to analyze ecommerce purchases metrics, including item names, item views, add to cart, purchases, and revenue, and note funnel clarity issues.

Create custom GA4 tabular reports with freeform layouts, using rows and columns, dimensions and metrics, and manage segments and custom events for insights.

Discover how to customize Google Analytics 4 reports using the library, collections, and drag-and-drop features to tailor dimensions, metrics, and visualizations.

Explore Google Data Studio basics to visualize Google Analytics data, connect data sources, and build clear reports with charts and dashboards.

Master Data Studio chart types to visualize Google Analytics data, using time series, pie, bubble charts, and a bubble map with dimension and metric customization.

Explore data filters and controls in Google Analytics 4 reports, including date range filters, ecommerce purchase segmentation, and basic report design in Data Studio.

Learn to customize data in Google Data Studio with formulas and arithmetic, creating custom metrics like ecommerce purchases proportions and product funnels from view item list to purchase.

Explore advanced custom funnels in Data Studio by building pivot tables, ordering event names, applying filters, and exporting insights from Google Analytics dashboards.

Identify digital marketers and analysts as target learners; this six-chapter, code-light hands-on project teaches Google Analytics data customization with Google Tag Manager through a website, exercises, and event implementation.

Install project by setting up a local WordPress site with Local WP Ecom and importing wp file via All-in-One WP Migration to explore Google Analytics and Google Tag Manager basics.