Automation doesn’t fail on its own; it executes exactly what it’s trained to do.

Every advertiser knows that there is a gap between reported performance and real business outcomes. The problem is that many advertisers feed Google’s automation with incomplete, misaligned, or overly broad signals. Over time, this leads to automation drift: spend concentrates on channels where conversions are easiest to generate, not on those where value is highest. In this session, Ameet will unpack how automation drift actually shows up in Google Ads accounts, including:

• How false confidence is created through modeled performance and blended reporting
• Where teams misattribute success (or failure) to automation rather than their inputs
• The early warning signs that performance is drifting away from business impact

You’ll learn how to diagnose drift using platform-native tools, how to interpret automated results with appropriate skepticism, and how to design a conversion and account structure where automation can scale without surrendering strategic control.

This isn’t a case against automation. It’s a case against unexamined automation and for clearer accountability in how systems are instructed, monitored, and corrected. This talk is designed for anyone responsible for Google Ads performance, whether you’re hands-on in the platform or overseeing teams, agencies, or automated systems.