Lean AI

Part II. Customer Acquisition 3.0

Part II moves you into the world of Customer Acquisition 3.0. What is that you ask? Let’s first quickly define Customer Acquisition 1.0 as the phase of siloed customer data living in different physical servers that resulted in running paid user acquisition efforts with poor data without full confidence into how well it was performing.

Customer Acquisition 2.0 is the ability to leverage cloud and data processioning capabilities to integrate all your customer data from multiple sources into one unified customer data platform. With this you can share good data to leverage the individual AI capabilities and automation of major advertising partners running in silos like Facebook, Google, Snapchat, and others to help you better optimize your budget to hit your performance goals.

This brings us to what I call Customer Acquisition 3.0. For starters, it’s the focus of Chapter 3, which provides an overview of how to effectively leverage your customer data using “intelligent machines.” With this, you will be able to holistically manage your entire paid user acquisition effort with real-time data to optimize your budget and drive great performance with a far more efficient Lean team, hands-off management approach powered by artificial intelligence. The rest of the chapters focus on different components including how to identify tasks to automate (Chapter 4), an overview of the “intelligent machine” framework (Chapter 5), and whether to build and buy it based ...