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Google Analytics

Information Technology > Business intelligence and data analysis

Description

Google Analytics is an essential tool for an E-Commerce Experience Manager, focusing on digital analytics to enhance online business performance. It involves understanding and navigating the platform to track and analyze website traffic, user behavior, and conversion metrics. By setting up goals, creating custom reports, and utilizing advanced features like event tracking and e-commerce analytics, managers can gain insights into customer interactions and optimize marketing strategies. This skill enables the identification of key traffic sources, evaluation of campaign effectiveness, and improvement of user experience, ultimately driving sales and growth in the e-commerce sector. Proficiency in Google Analytics empowers managers to make data-driven decisions that align with business objectives.

Expected Behaviors

✎
LEVEL 1

Fundamental Awareness

At the fundamental awareness level, individuals are expected to have a basic understanding of Google Analytics, including navigating the interface and recognizing key metrics. They can set up an account and differentiate between users, sessions, and pageviews, laying the groundwork for further learning.

🌱
LEVEL 2

Novice

Novices can create and interpret basic reports, set up goals for conversion tracking, and apply simple filters. They begin to use real-time reports to monitor user activity, gaining a foundational ability to analyze data and understand its implications for digital analytics.

🌍
LEVEL 3

Intermediate

Intermediate users implement event tracking, create custom dashboards, and analyze traffic sources. They effectively use segments to dissect data, providing deeper insights into user behavior and acquisition channels, which supports more informed decision-making in e-commerce management.

⭐
LEVEL 4

Advanced

Advanced practitioners manage complex e-commerce tracking, cross-domain tracking, and utilize attribution models. They integrate Google Analytics with Google Ads, enhancing their ability to derive actionable insights and optimize marketing strategies based on comprehensive data analysis.

🏆
LEVEL 5

Expert

Experts customize data collection with Google Tag Manager, develop measurement plans, and conduct advanced analyses using the API. They leverage in-depth insights to optimize website performance, demonstrating a mastery of Google Analytics that supports strategic decision-making and business growth.

Micro Skills

✎
LEVEL 1

Fundamental Awareness

Identifying the main sections of the Google Analytics dashboard
Navigating between different reports and views
Understanding the purpose of the home, customization, and admin tabs
Locating help resources and support within the interface
Defining what metrics and dimensions are in the context of analytics
Recognizing common metrics such as sessions, users, and bounce rate
Understanding dimensions like source/medium, landing page, and device category
Interpreting data tables and visualizations in reports
Creating a new Google Analytics account
Configuring a property and view for a website
Installing the tracking code on a website
Verifying data collection in real-time reports
Defining what constitutes a user in Google Analytics
Explaining how sessions are initiated and terminated
Describing what counts as a pageview
Analyzing the relationship between users, sessions, and pageviews
🌱
LEVEL 2

Novice

Navigating to the Audience section in Google Analytics
Understanding demographic data such as age and gender
Analyzing geographic data to identify user locations
Interpreting interests and affinity categories
Comparing new vs. returning visitors
Defining business objectives to create relevant goals
Navigating to the Admin section to set up goals
Choosing the appropriate goal type (e.g., destination, duration)
Configuring goal details and verifying setup
Analyzing goal conversion rates in reports
Identifying the need for data filtering
Accessing the Admin section to create filters
Setting up predefined filters for common use cases
Creating custom filters for specific data needs
Testing filters to ensure accurate data representation
Accessing the Real-Time section in Google Analytics
Monitoring active users on site
Analyzing real-time traffic sources
Observing live pageviews and top active pages
Utilizing real-time data for immediate insights and actions
🌍
LEVEL 3

Intermediate

Identifying key user interactions to track
Setting up event categories, actions, and labels
Using Google Tag Manager to implement event tracking
Testing and verifying event tracking implementation
Identifying key performance indicators (KPIs) for the business
Using the Google Analytics interface to create custom reports
Adding widgets and visualizations to custom dashboards
Sharing and scheduling custom reports with stakeholders
Differentiating between organic, direct, referral, and paid traffic
Using the Acquisition report to analyze traffic sources
Understanding the role of UTM parameters in tracking campaigns
Evaluating the effectiveness of different acquisition channels
Creating new segments based on user behavior and demographics
Applying segments to reports for detailed analysis
Comparing multiple segments to identify trends
Saving and sharing segments for team collaboration
⭐
LEVEL 4

Advanced

Configuring enhanced e-commerce settings in Google Analytics
Implementing product impression, click, and purchase tracking
Setting up checkout behavior analysis
Analyzing shopping behavior reports for insights
Understanding the concept of cross-domain tracking
Configuring referral exclusion list to prevent self-referrals
Setting up linker plugin in Google Tag Manager
Testing cross-domain tracking setup using Google Tag Assistant
Exploring different attribution models available in Google Analytics
Comparing model performance using Model Comparison Tool
Customizing attribution models to fit business needs
Analyzing multi-channel funnels for conversion insights
Linking Google Analytics and Google Ads accounts
Importing Google Analytics goals into Google Ads
Analyzing Google Ads performance using Google Analytics data
Utilizing remarketing lists created in Google Analytics for Google Ads campaigns
🏆
LEVEL 5

Expert

Understanding the structure and components of Google Tag Manager
Creating and managing tags for various tracking needs
Setting up triggers to fire tags based on specific user actions
Utilizing variables to capture dynamic data
Debugging and testing tags using the preview mode
Implementing custom HTML tags for advanced tracking scenarios
Identifying key performance indicators (KPIs) aligned with business goals
Mapping out user journeys and defining critical touchpoints
Establishing data collection requirements for each KPI
Documenting a detailed measurement strategy
Collaborating with stakeholders to ensure alignment and understanding
Reviewing and updating the measurement plan regularly based on insights
Understanding the structure and capabilities of the Google Analytics API
Authenticating and accessing the API using OAuth 2.0
Writing scripts to automate data extraction and reporting
Analyzing large datasets using advanced querying techniques
Integrating API data with other business intelligence tools
Visualizing API data for enhanced decision-making
Identifying high-exit pages and analyzing user behavior
Conducting A/B testing to evaluate changes and improvements
Analyzing site speed reports and implementing performance enhancements
Utilizing user flow reports to streamline navigation paths
Implementing personalization strategies based on user segments
Monitoring and adjusting SEO strategies based on analytics data

Skill Overview

  • Expert2 years experience
  • Micro-skills92
  • Roles requiring skill2

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