Web Analytics Techniques for Data-Driven Decision Making

Free Download Web Analytics Techniques for Data-Driven Decision Making
Published 5/2024
Created by Uplatz Training
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 5 Lectures ( 2h 38m ) | Size: 689 MB

Unlock the Power of Data. Learn Web Analytics Tools & Technologies including Google Analytics 4 for enhanced performance
What you’ll learn:
Understand the fundamental concept of web analytics, its purpose, and its significance in the digital landscape
Learn the step-by-step process of web analytics, including data collection, data processing, analysis, and reporting
Explore the different categories of web analytics, such as descriptive, diagnostic, predictive, and prescriptive analytics
Gain knowledge about the most popular tools in web analytics, including Google Analytics, Adobe Analytics, and others
Learn why web analytics is crucial for businesses, including its role in improving website performance, enhancing user experience, and driving business growth
Become familiar with essential web analytics terminology and metrics, such as sessions, users, bounce rate, conversion rate, and more
Learn various strategies to effectively use web analytics data for decision-making and strategy formulation.
Explore best practices for leveraging insights to improve website performance and achieve business objectives
Get introduced to the basic concepts and features of Google Analytics
Learn about the standard terms and metrics used in Google Analytics, such as pageviews, average session duration, and goal completions
Understand the structure and components of Google Analytics, including properties, views, and accounts
Learn how data is organized and reported in Google Analytics
Observe a live demonstration of Google Analytics in action
Take a deep-dive into how to navigate the GA4 interface, set up tracking, create reports, and analyze data in real-time
Learn how to apply theoretical knowledge to practical scenarios, reinforcing their understanding of how to use Google Analytics for web analytics purposes
Requirements:
Enthusiasm and determination to make your mark on the world!
Description:
A warm welcome to the Web Analytics course by Uplatz.Web Analytics is the process of collecting, measuring, analyzing, and reporting web data to understand and optimize web usage. It helps businesses and website owners understand how visitors interact with their sites, which pages they visit, how long they stay, and what actions they take. This information is crucial for improving user experience, driving traffic, and achieving business goals.How Web Analytics WorksData Collection: Web analytics tools (like Google Analytics) use JavaScript code embedded in web pages to collect data about user interactions. This includes page views, clicks, session duration, and other user behaviors.Data Processing: The collected data is processed to filter out irrelevant information, such as bot traffic, and to organize it into meaningful categories.Data Analysis: The processed data is analyzed to identify trends, patterns, and insights. This analysis can reveal information about user demographics, behavior flows, and conversion rates.Reporting: The insights from the analysis are presented in various reports and dashboards. These reports help stakeholders understand the performance of their website and the effectiveness of their marketing strategies.Benefits of Learning Web AnalyticsImproved Decision Making: Web analytics provides data-driven insights that help make informed decisions about website design, content, marketing strategies, and user experience improvements.Enhanced User Experience: By understanding how users interact with a website, you can identify pain points and areas for improvement, leading to a better user experience.Optimized Marketing Strategies: Web analytics allows for tracking the performance of marketing campaigns, helping to allocate resources effectively and optimize marketing efforts for better ROI.Increased Conversion Rates: Analyzing user behavior and identifying drop-off points in the conversion funnel can help optimize the website for higher conversion rates.Competitive Advantage: Understanding web analytics helps businesses stay ahead of competitors by quickly adapting to changes in user behavior and market trends.Cost Efficiency: By identifying the most effective channels and strategies, businesses can reduce wasteful spending and focus on high-performing areas.Google Analytics 4 (GA4) is the latest version of Google’s web analytics platform, designed to provide a more comprehensive and user-centric approach to tracking and analyzing user interactions across websites and apps. GA4 is built to adapt to the evolving digital landscape, offering advanced features and capabilities that enable businesses to gain deeper insights into user behavior and improve their online strategies.Key Features of GA4Event-Based Data Model: Unlike Universal Analytics, which primarily focuses on sessions and pageviews, GA4 uses an event-based data model. This allows for more detailed tracking of user interactions, such as clicks, video plays, and downloads.Cross-Platform Tracking: GA4 enables tracking user interactions across multiple platforms and devices, including websites, mobile apps, and more. This provides a holistic view of the customer journey.Enhanced Measurement: GA4 automatically tracks certain key interactions, like scrolls, outbound clicks, and file downloads, without requiring additional setup. This simplifies the process of data collection.Advanced Analysis: GA4 offers powerful analysis tools and techniques, such as funnel analysis, path analysis, and segment overlap. These tools help uncover deeper insights into user behavior and conversion paths.User-Centric Reporting: Reports in GA4 are centered around users rather than sessions, offering a more accurate representation of how individuals interact with a brand over time.Machine Learning Insights: GA4 leverages Google’s machine learning capabilities to provide predictive metrics, such as purchase probability and churn probability. These insights help businesses make data-driven decisions.Privacy and Compliance: GA4 is designed with privacy in mind, offering features that help comply with data protection regulations. It provides more granular data control and options for anonymizing user data.Integration with Google Ecosystem: GA4 integrates seamlessly with other Google products, like Google Ads and BigQuery, enabling more efficient data analysis and marketing campaign management.Benefits of Learning Google Analytics 4 (GA4)Advanced Analysis Tools: GA4 offers more sophisticated analysis tools compared to its predecessor, Universal Analytics. It includes features like event-based tracking and enhanced data modeling.Cross-Platform Tracking: GA4 allows for tracking user interactions across different platforms and devices, providing a comprehensive view of the customer journey.Enhanced User Privacy: GA4 is designed with privacy in mind, offering better data control and compliance with data protection regulations.Predictive Analytics: GA4 includes predictive metrics, such as churn probability and potential revenue, which can help in making proactive business decisions.Improved Reporting: GA4 offers more flexible and customizable reporting options, enabling users to create tailored reports that meet specific business needs.Integration with Google Ecosystem: GA4 integrates seamlessly with other Google tools, such as Google Ads and BigQuery, allowing for a unified approach to data analysis and marketing.By learning web analytics, including the features of Google Analytics 4, individuals and businesses can leverage data to optimize their online presence, enhance user experience, and achieve their strategic goals.Web Analytics – Course CurriculumA. Introduction to Web AnalyticsDefinitionProcess involved in Web AnalyticsCategories of Web AnalyticsB. Web Analytics ToolkitMost commonly used Tools for Web AnalyticsImportance of Web AnalyticsC. Web Analytics FundamentalsTerms and Metrics used in Web AnalyticsImportance of Web AnalyticsStrategies to Leverage Web AnalyticsD. Introduction to Google AnalyticsBasics of Google AnalyticsCommonly practiced Terms and MetricsStructure of Google AnalyticsIntroduction to GA4E. Live Illustration for Google Analytics
Who this course is for:
Data Analysts
Data Consultants
Digital Marketers
Beginners & newbies aspiring for a career in web analytics
Anyone wishing to learn Web Analytics and Google Analytics 4 (GA4)
Business Owners and Entrepreneurs
E-commerce Managers
Product Marketing Managers
Web Developers and Designers
Marketing and Communications Students
Web Analysts
Content Creators and Bloggers
SEO Specialists
Product Managers
Customer Experience Managers
Advertising Professionals
IT and Technical Support Staff
Homepage

https://www.udemy.com/course/web-analytics-and-google-analytics/

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