The Analytics Operator

This isn't a book about dashboards.

It's a system for how to think, measure, and decide in the age of AI — written for creators, freelancers, founders, and digital operators who are tired of staring at numbers that never change what they do.

What changes after you read this:
You'll stop using analytics as reporting and start using it as a decision engine. You'll know exactly which numbers move the business and which are noise, how to tie a dollar of spend to a dollar of profit, and how to put AI to work as an analyst that drafts your reports, hunts problems, and watches the business while you sleep.

What's inside:

• The decision-first method — the one discipline that separates an operator from a reporter
• The north star and metric tree — a system that tells every number whether it earns a place on the wall
• The money chapters: ROI on profit (not vanity ROAS), payback, LTV-to-CAC, and cohorts that catch decay early
• A complete AI-analyst workflow — natural-language queries, automated reports, anomaly detection, and monitoring agents
• Experimentation and decision-log systems that compound into sharper judgment every week
• 42 ready-to-use prompt templates (RCTCF format) across 6 categories
• Real operator case studies with measurable outcomes
• A 100-day step-by-step launch plan to build your analytics function from zero

Who this is for:
→ Founders drowning in their own dashboards
→ Freelancers who want analytics to be a paid skill, not a guessing game
→ Content creators scaling across channels who need to know what's actually working
→ Operators who want AI embedded in their decisions, not bolted on

Who this is NOT for:
→ People looking for pretty dashboard templates
→ Anyone who isn't willing to run the weekly system

At $49, you get: a system operators use to stop wasting spend and find the leaks that cost them thousands. The average reader recoups this on their first budget decision.

📥 Instant digital download — PDF, 110 pages