All guides
Agent Visibility Playbook: Getting Recommended by AI
How to monitor, measure, and improve your brand's visibility across ChatGPT, Perplexity, Claude, and Gemini. From tracking agent mentions to optimizing for recommendation.
Optimizing Your Product Feed for AI Agents
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.
Tracking the Dark Funnel: Revenue Your Analytics Can't See
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.
The Complete Guide to Marketing Attribution for Ecommerce
Why platform-reported ROAS is wrong, how holdout testing works, and how to find true incremental value per channel.
Incrementality Testing for DTC Brands
Geo-lift tests, holdout groups, and conversion lift studies. When to use each and how to interpret results.
Forecasting Ad Performance
How AI forecasting models learn from cross-brand patterns to predict CPA, ROAS, and revenue before you spend a dollar.
Creative Testing at Scale: Beyond A/B
How to structure creative testing programs that find winners faster and detect fatigue before it kills performance.
Compound Learning: Why Your AI Gets Smarter Over Time
How every marketing decision feeds back into the model, and how month 6 outperforms month 1.
Budget Allocation Across Meta, Google, and TikTok
A framework for distributing spend based on incremental ROAS, creative fatigue, and audience overlap.
Scaling Ad Spend Without Killing ROAS
The S-curve of ad efficiency, diminishing returns by channel, and how to find your optimal spend level.
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