Ecommerce Analytics and KPI Playbook MTA
Tracking, attribution, and dashboards to make data-driven growth decisions

About this book:

*The Ecommerce Analytics and KPI Playbook* is a comprehensive guide designed to help online businesses transition from intuitive decision-making to a rigorous, data-driven growth culture. It begins by establishing the "North Star" metric—a singular measure of success that aligns cross-functional teams toward long-term value—and deconstructs revenue into actionable components like Average Order Value (AOV) and conversion rate. By moving from high-level goals to granular funnel mechanics, the book provides a roadmap for diagnosing friction points and identifying the primary levers of growth.

Central to the playbook is the balance between Customer Acquisition Cost (CAC) and Customer Lifetime Value (LTV). The text provides detailed frameworks for modeling LTV through cohort analysis and survival curves, while emphasizing the importance of measuring the payback period to manage cash flow. It tackles the complexities of modern attribution, offering a nuanced view of single-touch, multi-touch, and data-driven models. Crucially, it addresses the challenges of a post-privacy landscape, advocating for a triangulation of signals through server-side tracking, incrementality testing, and Media Mix Modeling (MMM).

Beyond definitions, the book serves as an operational field guide for building a professional data infrastructure. It outlines best practices for creating tracking plans, managing ETL pipelines, and designing dashboards that prompt specific business actions rather than merely displaying data. Special attention is given to the roles of SEO, lifecycle automation via email and SMS, and on-site merchandising. By integrating these specialized analytics into a unified reporting cadence, businesses can ensure that every department is working from a consistent, accurate source of truth.

The final section focuses on the execution of growth strategies through systematic experimentation and prioritization. Utilizing frameworks like ICE and RICE, the playbook teaches teams how to rank initiatives based on impact, confidence, and effort. Ultimately, the book argues that technical proficiency in analytics is only half the battle; the true goal is fostering a "growth culture" where data democratization, executive sponsorship, and a relentless cycle of testing and iteration turn raw insights into sustainable competitive advantages.

What You'll Find Inside:

• Learn how to define and implement North Star metrics that align your team around sustainable growth, not vanity metrics
• Master revenue fundamentals: conversion rate, average order value (AOV), and funnel optimization techniques to increase revenue per session
• Calculate and apply Customer Lifetime Value (LTV) and Customer Acquisition Cost (CAC) to make profitable growth decisions
• Navigate attribution complexity from single-touch models to data-driven multi-touch attribution in a post-privacy world
• Build actionable dashboards and reliable data pipelines that transform data into clear growth decisions

Who's It For:

This book is designed for ecommerce founders, marketers, product managers, and analysts who need to transform raw data into actionable growth strategies. It's ideal for professionals seeking to master essential metrics like LTV, CAC, and ROAS while avoiding common analytical pitfalls. Readers will gain practical skills in attribution modeling, experimentation, dashboard design, and data pipeline development to make data-driven decisions. The playbook serves both those building foundational analytics capabilities and experienced teams looking to refine their growth optimization approaches.