Lead Aggregator Burn Out

The Situation

This roofing company had already committed serious budget to Google Ads. They weren't marketing novices, just frustrated ones. Leads trickled in sporadically, rarely converted to booked jobs, and leadership was asking harder questions each quarter.

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Their solution? Throw more money at lead aggregators like Angi and HomeAdvisor. Instead of solving the problem, they created a bigger one. Low-intent leads flooded in from multiple vendors, often duplicated across platforms. Their sales team burned time on tire-kickers, and their marketing coordinator couldn't identify what was actually driving revenue.

The Challenge

Getting more budget approved wasn't realistic. The real challenge was extracting maximum value from existing spend. In home services, you get limited opportunities each day to capture attention and convert intent. Every ad, every landing page, every click has to perform.

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We stepped in to accelerate their learning curve using AI-powered optimization instead of relying on slow, manual campaign reviews from an overextended agency team.

What We Did

We built an AI-driven system that continuously monitored and improved performance across every touchpoint:

• Our AI agents analyzed ad data in real time, recommending which keywords, headlines, and descriptions to test next. These same systems flagged underperforming variants for immediate removal and surfaced copy expansion opportunities based on actual user engagement patterns.
• For landing pages, AI agents tracked scroll depth, dwell time, bounce rate, and CTA interactions. They recommended layout changes based on which information users consumed most and trusted enough to convert. We moved credibility signals above the fold immediately - trust badges, customer reviews, and key differentiators that matched what homeowners needed to feel safe letting contractors into their homes.
• This became a living system that evolved weekly, constantly learning, adjusting, and sharpening focus.

The Outcome

• Job volume increased 64% in the first 60 days
• Total Job volume grew 82% year-over-year
• Customer acquisition cost dropped 57% to $800 per customer
• Cut aggregator spend in half and reallocated without requesting additional budget
• Internal team gained clarity, confidence, and a scalable system they could grow with

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