How I generated $74K for a marketing agency in 45 days with AI

The Problem

Galax Media had a pipeline problem. Inconsistent, unpredictable, feast-or-famine. Sound familiar?

They'd tried cold calling. They'd tried referrals. They'd tried posting on LinkedIn hoping someone would reach out.

None of it worked consistently.

The System I Built

Before touching any tool, I spent a week understanding their ideal client profile. Who were their best current clients? What industry? What size? What problem brought them to Galax?

That research became the foundation of everything.

Then I built:

An AI-powered prospect research engine that identified ideal clients automatically

Personalized outreach sequences based on company-specific signals (recent hires, funding, news)

An automated follow-up system that knew when to follow up and what to say

A meeting booking flow that eliminated back-and-forth scheduling

Why It Worked

Most outbound fails because it's generic. "Hi [FirstName], I help companies like yours..."

Nobody responds to that. Because nobody believes it.

What worked was specificity. The system pulled real signals about each prospect — a recent product launch, a hiring surge, a public announcement — and used those to craft messages that felt human because they were informed by human research, just automated at scale.

The Results

$74,000 in new business in 45 days

60+ qualified leads delivered

Consistent pipeline without hiring SDRs

System runs autonomously with minimal oversight

What You Can Take From This

If you're running an agency or service business, your outbound problem is almost never a volume problem. It's a targeting and personalization problem.

Fix those two things. Automate the execution. Watch what happens.