The era of manual media buying, keyword bid hacking, and granular demographic slicing is mathematically obsolete. Modern ad networks operate as high-dimensional, multi-task machine learning systems that evaluate billions of data signals per millisecond. To scale ad spend efficiently in this algorithmic landscape, performance marketers must evolve into quantitative growth engineers who understand how ad auction neural networks process data. This masterclass from IMRI delivers an advanced, mathematically grounded blueprint for scaling Google Ads and Meta Ads using machine learning. Growth leaders and media buyers learn to deconstruct Meta's Lattice AI and Google's Smart Bidding algorithms, deploy resilient server-side telemetry via sGTM and Meta CAPI, manage unit economics against blended Marketing Efficiency Ratios (MER) and contribution margin (CM2), combat creative fatigue through modular asset engineering, and validate true revenue incrementality using geo-holdout experiments and econometric Marketing Mix Modeling (MMM).
AI-Powered Performance Marketing: Scale Google Ads & Meta Ads with Machine Learning
8 modules · self-paced learning
Curriculum
8 modules · 80 lessons
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
Enroll in the course to access this module’s 10 lessons.
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