
Engineering and building powerful and efficient revenue engines.
| Platform | Pricing | Freemium | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 170 | Founded | 3 years ago | Last Issue | 6 days ago |
| Active | |||||

The AI-Native Revenue Engine — Part Two
This is Part II 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.
AI does not eliminate the functions inside Revenue Operations. It changes who (or what) does the work, where judgment belongs, and how the entire revenue engine is controlled.
In 2024, I wrote about The Perfect RevOps Team.
Revenue Operations may not exist as a standalone department three years from now.
The argument for its disappearance is straightforward. FP&A will absorb the financial work: capacity planning, forecasting, territory design, and performance...
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.
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...
Subscribers, engagement, traffic and sponsorship for Mastering Revenue Operations.
| Subscribers | Engagement | 63 | Monthly Web Visits | ||
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| Accepts Sponsors | Estimated Cost per Ad | ||||
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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