Building Growth From Scratch: A Practical Guide for Early-Stage SaaS and AI Founders

GTM & Growth Leadership

Most early-stage SaaS companies get marketing wrong before they ever hire their first marketer. Not because the founders are bad at business, but because the conventional advice on when to invest in marketing, who to hire, and what to build first is largely disconnected from how early-stage companies actually work.

This series is about fixing that.

Over the next several posts I will cover the decisions that matter most in the first 12 to 24 months of building a marketing function, based on 19 years of doing exactly that across nine startups. Some of those companies made it. Some didn’t. All of them taught me something useful.

The topics will cover GTM strategy, ICP development, demand generation, pipeline building, and the hiring decisions that accelerate or stall growth. Not frameworks. Not theory. Specific things that work, and a few that don’t.

If you are a founder trying to figure out when to make your first marketing hire, a CEO wondering why pipeline isn’t growing the way it should, or a marketing leader at an early-stage company trying to build something that actually scales, this series is written for you.

The first post goes up next week.

Published by Stan Bowers

I fix go-to-market and conversion breakdowns that prevent SaaS and AI companies from turning attention into pipeline and revenue. You’ve built something that works. I fix the gaps in go-to-market and conversion so it actually scales. Most companies don’t have a traffic problem. They have a conversion and go-to-market problem. I’m typically brought in by companies that have built a strong product and seen early traction, but growth has slowed or become inconsistent. In most cases, the issue is not the product. It is a breakdown between ICP, messaging, and funnel execution. I identify where that breakdown is happening and fix it. I align ICP, personas, and messaging, then rebuild the funnel so it actually converts. I also implement the systems needed to execute, measure, and optimize so pipeline and revenue become predictable. If you're a SaaS or AI company dealing with inconsistent pipeline, contact me and I’ll take a look at where things may be breaking down.

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