Mixpanel Training Course

I. Introduction to Mixpanel

1. Overview of Product Analytics

• Fundamentals of product analytics
• Insights into user behaviour analysis
• Core features and capabilities of Mixpanel
• Typical business applications
• Distinguishing product analytics from traditional web analytics

2. Core Mixpanel Concepts

• Events
• Users and profiles
• Properties
• Cohorts
• Funnels
• Retention metrics
• Sessions and user journeys

II. Getting Started with Mixpanel

1. Project Setup and Configuration

• Establishing a Mixpanel account
• Initialising a new project
• Reviewing project settings
• Administering user roles and permissions

2. Navigating the Mixpanel Interface

• Dashboard layout and overview
• Accessing reports and navigation tools
• Structuring data within the interface
• Tailoring the workspace to individual needs

III. Implementing Mixpanel

1. Event Tracking Fundamentals

• Developing an event taxonomy
• Defining specific events and their properties
• Adopting naming conventions and best practices
• Capturing user interactions

2. Mixpanel Implementation Strategies

• Instrumenting applications for tracking
• Transmitting event data accurately
• Confirming data collection success
• Resolving common implementation challenges

IV. Understanding Event Data

1. Working with Event Data

• Analyzing event structure
• Examining event properties
• Reviewing user properties
• Considerations for data quality
• Handling historical data

2. Exploring Live Data

• Utilizing Live View functionality
• Monitoring real-time event streams
• Verifying implementation accuracy
• Diagnosing tracking discrepancies

V. Product and User Analysis

1. Analyzing User Behavior

• Performing event-level analysis
• Segmenting user bases
• Mapping user journeys
• Identifying behavioural patterns
• Spotting engagement trends

2. Funnel Analysis

• Constructing conversion funnels
• Calculating drop-off rates
• Locating process bottlenecks
• Enhancing conversion efficiency

3. Retention Analysis

• Evaluating user retention
• Conducting cohort analysis
• Assessing the user lifecycle
• Recognising churn indicators

VI. Reporting and Dashboards

1. Creating Reports

• Generating insights reports
• Producing funnel reports
• Compiling retention reports
• Creating user-specific reports
• Benchmarking performance over time

2. Building Dashboards

• Assembling custom dashboards
• Sharing insights with stakeholders
• Adjusting visualisation styles
• Tracking key performance indicators (KPIs)

VII. Mixpanel Administration

1. Project Administration

• Controlling user access and roles
• Configuring project parameters
• Addressing data governance
• Ensuring privacy and compliance

2. Best Practices

• Architecting scalable event schemas
• Ensuring data consistency
• Streamlining analytics workflows
• Avoiding common implementation errors

VIII. Summary and Next Steps

1. End-to-End Analytics Exercise

• Setting up a complete project
• Deploying event tracking
• Validating data integrity
• Developing reports and dashboards
• Analysing behaviour and funnels

2. Course Review

• Recap of essential Mixpanel concepts
• Recommendations for analytics implementation
• Strategies for effective product analytics
• Q&A session and future steps