Engineering and building powerful and efficient revenue engines.
| Platform |  | Pricing | Freemium | Publishes | Twice weekly |
|---|---|---|---|---|---|
| Issues | 167 | Founded | 3 years ago | Last Issue | 6 days ago |
| Active | |||||
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masteringrevenueoperations.comLatest Issues
Build the Revenue Command Center
The AI-Native Revenue Engine — Part One
This is the start of a 3-part special series for paid subscribers. You are going to learn how to maximally leverage AI to run revenue operations and scale revenue engines. Thank you for supporting.
How to Set Up Codex for Revenue Operations: The Power User Playbook
A tactical guide to building the workspace, instructions, prompts, and operating habits behind an executable revenue engine
This is part three of my series on using Codex by OpenAI to build and run your revenue engine. By the way, you coul...
The Four-Layer Operating Model
Most AI projects begin one step too late.
Someone sees a compelling product, watches a polished demo, or learns that a competitor is deploying agents. The conversation jumps straight to the model, the application, or the integration. The c...
How to Evaluate a Head of Revenue Operations Role
Most people evaluate a Head of Revenue Operations role the same way they evaluate any senior job.
Most people evaluate a Head of Revenue Operations role the same way they evaluate any senior job. They look at the title. The compensation. T...
RevOps Pro: Your CRM Is Not Your Business
How to build the digital twin of your revenue engine.
As a thank you to our amazing Paid Members we are releasing more technical “deep dive” follow-ups to our most popular articles, the “RevOps Pro Series”.
Audience Metrics
Subscribers, engagement, traffic and sponsorship for Mastering Revenue Operations.
| Subscribers | Engagement | 64 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
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Authors
The writers behind this newsletter.
Matt McDonagh is an AI advisor, technical builder, operator, and family office investor with more than 15 years across enterprise AI, data engineering, and investment banking.
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