How fast do you actually launch?

We get campaigns live in 7-14 days with full creative ops, audience research, and bid strategy. Your AI automations are wired by week two, and custom tools ship within 30 days.

Why don't you offer 'just one service'?

Growth compounds when channels feed each other. Paid ads feed your CRM, your automations nurture leads, custom tools predict who's ready to buy. We won't cherry-pick one service and leave you hanging.

What about transparency on spend + reporting?

Full dashboard access to ad spend, automation logs, and performance data. Weekly syncs on results. No black-box billing — you see every dollar and what it generated.

What is an AI marketing agency?

An AI marketing agency like Brew Labs Media uses artificial intelligence to supercharge growth marketing. We combine AI-powered paid acquisition, custom GPT tools, marketing automations, and data-driven social strategies to deliver compound growth.

What results can I expect?

Our clients see an average 6.4X blended ROAS, 42% CAC reduction, and 2400+ ops hours saved per month through AI automation. We've compounded over $38M in revenue for our portfolio companies.

How much does it cost?

We offer three core tiers: Starter at $749/month for validation, Growth at $1,999/month for scaling, and Scale at $3,999/month for full-stack engineering. All include AI-powered optimization and reporting.

IFC Home Inspections: 10X ROAS in 6 Months

How a home inspection service went from burning money on ads to 10X ROAS through unit economics modeling and creative optimization.

The Situation

Michael Holcomb's IFC Home Inspections was scaling rapidly across the US. Home inspection demand was strong. But their paid acquisition strategy was broken.

Before:

ROAS: 1.5X | CAC: $180 | Monthly Ad Spend: $25K | ROI: -40%

They were running ads on Google and Facebook without strategy. Ads were spending $180 to acquire a customer worth $200. Margin was razor-thin. Growth was unsustainable.

Michael knew something was fundamentally wrong. He reached out.

Our Approach

Step 1: Model Unit Economics

We didn't touch the ads first. We modeled the business. What's customer LTV? How many repeat inspections? How much is referral worth?

Turns out: Average customer LTV = $2,400 over 3 years. Maximum profitable CAC = $240. Michael had been acquiring at $180 but not optimizing to get the most valuable customers.

Step 2: Rebuild Creative Testing

We structured a creative testing framework. Tested 12 different ad angles: inspector credentials, turnaround time, price guarantee, testimonials, franchise opportunity angle.

Winner: "Licensed Inspector with 15+ Years. Same-Day Results. Guaranteed." This angle cut CAC by 28% while increasing quality (repeat rate went from 12% to 34%).

Step 3: Implement Conversion API

Facebook had zero attribution data. We implemented Conversion API server-side. Tracked inspection completion, payment, repeat booking as conversion events.

Suddenly Facebook had real signal. Algorithm could optimize to quality customers, not just leads.

Step 4: Geographic Expansion

With profitable unit economics, Michael wanted to expand. We built lookalike audiences in new metros, tested messaging, expanded spend systematically.

2 months in, operating profitably in 7 new markets.

Results

ROAS

10X

From 1.5X

CAC

$110

From $180

Ad Spend

$80K/mo

Profitable scaling

Timeline: Month 1-2 (modeling + creative testing), Month 2-3 (API implementation + monitoring), Month 4-6 (scaling + expansion).

Revenue Impact: Generated $960K in incremental revenue over 6 months. Paid for our partnership 8X over.

Quote from Michael: "I've worked with marketing agencies before, but Udit and BrewLabs Media were the first team that actually focused on results instead of just running ads. They're proactive, transparent, and genuinely care about helping your business grow."

Your business can scale like this.

We've proven this playbook with 12+ clients. Let's model your unit economics and build your paid engine.

Start scaling