Google Analytics Advanced Training - Master Google Analytics

Create and analyze Google Analytics goals to measure conversions and engagement, using templates or custom goals, and explore goals reports and acquisition channels.

Discover how to track campaigns in Google Analytics with five parameters, including the required utm_source and optional utm_medium, utm_campaign, utm_content, and utm_term, using consistent naming.

Use the URL builder to create campaign tracking URLs with destination URL, campaign source, media, and name, and learn to handle spaces with percent encoding or underscores.

Learn how attribution models in Google Analytics allocate credit across a customer journey through search, social, email, and direct channels. Compare last, first, linear, time decay, and position-based models.

Learn to create and apply Google Analytics segments, both system generated and custom, using demographic, technology, and behavior data; compare female and all users to uncover trends.

Explore how the secondary dimension in Google Analytics drills down data by device category to compare pages viewed on desktop versus mobile, with two dimensions on a single report.

Discover how to configure custom reports in Google Analytics, drill down into landing pages with keywords, and combine sessions, bounce rate, and revenue across views, tables, and maps.

Discover how Google Tag Manager uses a container to manage tags, triggers, and variables, enabling Google Analytics deployment and publishing across all pages.

Learn how to track user interactions as events in Google Analytics using event category, action, label, and value, and implement with JavaScript or Google Tag Manager for videos like YouTube.

Enable cross-device tracking in Google Analytics with universal analytics using a first-party cookie user I.D. Read the cookie via Google Tag Manager, pass it to GA, and view cross-device reports.

Explore custom dimensions in Google Analytics to capture non analytics data for deeper insights, segmentation, and remarketing by creating a user-level dimension and passing a user ID via cookies.

Integrate offline CRM data with Google Analytics by creating custom dimensions, capturing the user ID from a first-party cookie with Google Tag Manager, and importing CRM data for deeper analysis.

Create and use custom metrics in Google Analytics to track video progress, such as reaching 50 percent. Use these metrics in custom reports and for segments and Google Ads remarketing.

Content grouping in Google Analytics categorizes pages into groups and lets you compare metrics by group. Configure up to five groups in the GA view using code, extraction, or rules.

Learn how to track user journeys across subdomains with Google Analytics by using a root domain cookie, configuring Google Tag Manager variables, and applying referral exclusion to stitch sessions.

Learn how to enable cross domain tracking in Google Analytics to stitch a single user journey across domains using linker parameters, with or without Google Tag Manager.

Understand how Google Analytics uses default channel grouping to categorize traffic by source and medium, and explore how to view, edit, and interpret channel definitions in acquisition reports.

Create custom channel groupings in Google Analytics to categorize sources like newsletters beyond the default, and promote them to the view level for all users.

Create calculated metrics in Google Analytics by defining a name and a formula that combines standard and custom metrics, then apply the metric to a custom report.

Explore Google Analytics annotations and custom alerts to track trends and receive prompts when visits fall, using admin view and report annotations.

Stay tuned as the Google Analytics advanced training evolves with your questions and new features. Share your burning questions to receive answers and maximize your learning and career in analytics.