Explore how Google Analytics measurement uses browser cookies to assign a client ID, track page views, and send data to analytics servers for reporting.

Identify GA4's users as the highest metric and track sessions and events. Use four identification methods—user ID, Google signals, device ID, and modeling—to identify users.

Explains ga4's session and engaged session concepts, including duration over 10 seconds, a conversion, or two page views, and how to adjust the 10-second threshold in the interface.

Navigate the GA interface to adjust session timeout and engage session settings, understanding how inactivity beyond 30 minutes defines session expiry and how engagement differs from bounce rate.

Explore how engagement rate and bounce rate relate in Google Analytics 4, including how engagement is calculated (for example a 10-second rule) and why both metrics coexist in reports.

Learn the difference between active users and total users in Google Analytics 4, where active users have at least one engaged session, and see how this appears in standard reports.

See how Google Analytics 4 uses an event-based model to measure engagement time across pages and domains, not just page loads.

Navigate the ga4 interface with the merchandise demo account, learn the shift from conversions to key events, and master date range comparisons for apples-to-apples insights.

Explore the real-time report in GA4 to monitor current website activity by region on a world map, track active users, and test new events for data flow.

Explore time series granularity in GA4 by selecting day, week, or month, view totals by plotting rows, and compare traffic sources in life cycle reports and traffic acquisition.

Learn to use the Ga4 interface to switch primary and secondary dimensions in the traffic acquisition report, revealing how session source medium and country break down metrics.

Learn to filter and sort GA4 data with the search tab and secondary dimensions, compare metrics like sessions and engagement rate, and filter by key events to analyze conversion rate.

Analytics is a way of thinking; frame analysis with a hypothesis. Context matters; watch high bounce rate on contact or information pages, and note GA cannot measure PII, with warnings.

Set up a Google Analytics 4 account, create a web data stream, and enable enhanced measurement to automatically track scrolls, outbound links, site search, and video engagement.

Implement GA4 hardcoded measurement by choosing website builders or manual copy-paste of the global site tag across all pages, then verify data in real-time reports and Google Tag Manager.

Learn GA4 measurement with google tag manager by installing GTM, creating a GA4 configuration tag, and using triggers and variables to fire on all pages and scroll tracking.

Implement advanced scroll tracking in GA4 with Google Tag Manager by creating a vertical scroll depth trigger at 25, 50, 75, and 100%, sending events with scroll depth parameters.

Extend data retention to 14 months, adjust session timeout and engaged thresholds, and use modify events to unify sources like Udemy while excluding paywall referrals in GA4.

This course explains GA4 conversions set up via automatic events, existing events, or conditional events such as a thank you page, with non-retroactive changes and per-event counting.

Compare Universal Analytics and GA4, highlighting the shift from session-based to user-centric analytics, with GA4 treating all interactions as events and introducing new session start events.

Use GA4 free form explorations to build custom reports from scratch or predefined types, adding dimensions and metrics and applying pre-filters, visualize with tables or line charts to compare segments.

Explore GA4 conversion rate concepts: session conversion rate and user conversion rate, illustrated with two users and four sessions to show their calculations and differences from Universal Analytics.

Explore GA4 funnel exploration and retroactive funnels, defining steps with events like view item list and add to cart, and analyzing abandonment and completion rates across devices.

Explore how GA4 path exploration reveals user journeys from a chosen start or end point, with granular steps, filters, and retroactive funnels to analyze purchases.

Explore GA4 segments overlap in the Explore tab by building desktop traffic and users with at least two purchases, then compare overlaps and break down top channels for insights.

Master GA4 reports customization by designing default dimensions and metrics, saving custom reports, and organizing the library to tailor pages and screens, landing pages, and lifecycle insights.

Build a custom GA4 report using browser language as a dimension, listing users, sessions, bounce rate, and engagement rate over a year to reveal where customers are and needed languages.

Learn to use location data in GA4, focusing on country and city dimensions (country from IP, language from browser) to map where customers live and tailor online and offline campaigns.

Build browser-focused conversion rate reports in GA4 using explore with totals like users, sessions, bounce rate, purchases, and ecommerce revenue; analyze browser differences and diagnose issues that block purchases.

Explore the device category dimension in Google Analytics 4, compare desktop and mobile traffic, and analyze mobile-first design implications for conversion rates on the Google merchandise store.

Analyze mobile performance by examining screen resolutions and device models to uncover conversion rate differences, and simulate exact resolutions in Chrome to spot and fix mobile experience issues.

Use Page Speed Insights to analyze your page for mobile and desktop performance, focusing on largest contentful paint and other load-time metrics with actionable optimization tips.

Add operating system and device brand dimensions and track average purchase revenue in GA4 to compare Android and iOS performance and focus on Apple users.

Learn how to link GA4 with Google Ads and Google Search Console to import queries and spend data, track ad spend and ROAS, and access retroactive reporting.

Learn how to use UTM parameters to track traffic across channels, including source, medium, campaign, content, and term, with examples and a campaign builder tool for accurate Google Analytics reporting.

Evaluate landing pages in GA4 by analyzing sessions and bounce rate, identifying top pages, and excluding not set data to inform promotion and site architecture.

Identify best and worst performing landing pages from paid search by filtering session source medium in Google Analytics 4, and reallocate budget toward pages that keep visitors on your site.

Master custom channel grouping in Google Analytics 4 by duplicating the default group, ordering channels (like Udemy) to refine reports, without altering underlying data.

Apply a GA4 traffic sources evaluation by breaking down session source medium into campaigns and landing pages, and use custom reports to identify underperforming Google CPC campaigns and avoid averages.

Learn to access and compare session and user conversion rates in GA4 by building a custom explore report, adding metrics like transactions and total users, and understanding current limitations.

Access internal site search data in GA4 by using the search term dimension and event count, then filter with the event name 'Use search results' to isolate real search activity.

Analyze product performance in GA4 by evaluating item views, add-to-cart, and purchases, and create relative metrics with calculated fields in Looker Studio for clear item comparisons.

Enable Google signals data collection to access demographics in GA4 and explore age and gender to identify top converters and spending patterns.

Create and use calculated metrics in GA4 to derive custom data like inactive users from total and active users, through the admin custom definitions and formulas.

Create a custom GA4 exit rate metric by building a report with page path and screen class, exporting data, and calculating exits divided by views to identify high-exit pages.

Build a custom GA4 report to see which search queries drove traffic, compare session volume and bounce rate, and use session Google Ads query for exact user inputs.

Connect Google Ads query data to landing page performance in GA4 by adding landing page as a report dimension, revealing how queries drive pages and where paid traffic lands.

Analyze a real checkout flow in GA4 by building a custom funnel from the begin checkout step to purchase, and using path exploration to identify drop-offs by device category.

Learn to set up custom alerts in Google Analytics 4, now called insights, to monitor thresholds and receive notifications when pageviews or transactions fall outside expectations.

Learn to use annotations in Google Analytics 4 to tag specific dates or date ranges for events like campaigns or outages, improving time-based analysis and data clarity.

Understand how data is organized in Google Analytics 4, with accounts and properties. Set up one domain per property, manage account and property permissions, and ensure at least two administrators.

Wrap up the course by embracing analytics thinking, verify hypotheses from multiple views, avoid hasty decisions, and invite feedback for ongoing improvement, and stay happy analyzing.