SQL Product Growth

Understanding product analytics tables (users, events, sessions, orders)

User-level vs. session-level vs. event-level vs. transaction-level data

How product, marketing, and growth systems store data

Key product fields: user_id, event_name, session_id, event_timestamp, order_id, amount


The flow of product data across user activity, sessions, events, and transactions

How product data connects across users, sessions, events, orders, and payments

User Retention Analysis

Funnel Analysis and Conversion Tracking

Cohort Analysis for User Groups

Feature Usage and Engagement Analysis

Customer Journey and Path Analysis

A/B Testing and Experiment Analysis

User Segmentation and Lifecycle Analysis

Growth Metrics and Trend Analysis

Conversion Optimization and Funnel Diagnostics

Revenue and Monetization Analysis

Experiment Evaluation and Performance Insights