Web Analytics and Data-Driven Decision Making

Course schedule

Classroom Training:
8 - 12 Jul 2024London5 days£4,250
14 - 18 Oct 2024London5 days£4,250

Please note: prices shown above are exclusive of VAT (20%).

Course Overview

Master the use of web analytics for strategic decision-making. Learn to track, analyse, and interpret web data to improve online performance and inform business strategies.

Who Should Attend

This course is tailored for individuals in management roles within training and consultancy firms who want to gain expertise in web analytics and use data-driven insights to make informed decisions that drive business success.

Course Outcomes

Upon completion of this course, participants will:

  • Develop a solid foundation in web analytics, including terminology, key metrics, and tools used for data collection and analysis
  • Learn to analyse web data effectively, extract actionable insights, and translate data into strategic decisions that benefit the organization
  • Understand the principles of CRO, conduct A/B testing, and implement strategies to improve website conversions and user experiences.
  • Gain proficiency in advanced analytics techniques, dashboards, and reporting tools to monitor performance and communicate findings to stakeholders

Course Topics

Introduction to Web Analytics

  • Understanding the role of web analytics
  • Key web analytics terminology
  • Types of data collected
  • Overview of web analytics tools

Data Collection and Analysis

  • Setting up web analytics tools (e.g. Google Analytics)
  • Data collection and tracking best practices
  • Data segmentation and filtering
  • Analysing website traffic and user behaviour

Data-Driven Decision Making

  • Leveraging data for strategic decision-making
  • Identifying actionable insights
  • Building a data-driven culture within organizations
  • Ethical considerations in data usage

Conversion Rate Optimization (CRO)

  • principles of CRO and its importance
  • A/B testing and experimentation
  • Implementing CRO strategies
  • Monitoring and measuring CRO success

Advanced Analytics and Reporting

  • Advanced analytics techniques (e.g. cohort analysis funnel analysis)
  • Creating custom reports and dashboards
  • Communicating data insights to stakeholders
  • Continuous improvement through data analysis

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