SQL for Data Analytics — Volume 2: Advanced Cohorts, LTV, CAC, ROAS, Attribution & Product Metrics (SQL for Data & Product Analytics Series)
Format:
Paperback
En stock
0.60 kg
Sí
Nuevo
Amazon
USA
- Unlock the SQL techniques top analysts use to measure growth, optimize product performance, and drive data-backed decisions at scale. This advanced volume takes you beyond basic queries and into the metrics that power modern data teams.Book Summary SQL for Data Analytics — Volume 2 is designed for analysts, marketers, product teams, and data-driven professionals who want to master the SQL queries behind real business metrics. Whether or not you've read Volume 1, this edition stands fully on its own—equipping you with advanced analytical concepts, practical SQL patterns, and real-world metric frameworks.Across clear explanations and intuitive examples, you’ll learn how to build cohort analyses, calculate customer lifetime value (LTV), measure acquisition efficiency (CAC), model attribution, and evaluate key product behaviors. Each chapter focuses on SQL approaches used in modern analytics teams—from growth and marketing analytics to product intelligence and financial modeling.This book is crafted to be concise, actionable, and immediately applicable, giving you the tools you need to think like a senior data analyst and deliver insights that matter.Key Features & Benefits • Master advanced SQL analyses used for cohorts, retention, churn, and revenue metrics. • Learn business-critical KPIs including LTV, CAC, ROAS, and multi-touch attribution. • Apply product analytics techniques with SQL patterns for funnels, activation, engagement, and feature usage. • Use real-world SQL templates that can be applied to marketing, product, and finance datasets. • Build the analytical mindset needed to interpret business metrics and tell clear data stories. Level up your analytics skills
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