Guides & Playbooks
Read the methodology. Let the AI execute it.
The foundational guide to agent commerce — what it is, why it's replacing traditional product discovery, how AI agents evaluate and recommend products, and what brands must do to compete in this new channel.
A step-by-step playbook for structuring product titles, descriptions, attributes, and schema markup so AI agents can accurately parse, evaluate, and recommend your products over competitors.
How to measure the revenue that AI agent recommendations drive but GA4 misattributes as direct traffic or branded search. The methodology behind dark funnel intelligence.
Why platform-reported ROAS is wrong, how holdout testing works, and how to find true incremental value per channel.
How AI forecasting models learn from cross-brand patterns to predict CPA, ROAS, and revenue before you spend a dollar.
A framework for distributing spend based on incremental ROAS, creative fatigue, and audience overlap.
How to structure creative testing programs that find winners faster and detect fatigue before it kills performance.
Geo-lift tests, holdout groups, and conversion lift studies. When to use each and how to interpret results.
The S-curve of ad efficiency, diminishing returns by channel, and how to find your optimal spend level.
How every marketing decision feeds back into the model, and why month 6 is dramatically better than month 1.
Frameworks and methodologies, no fluff.
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