The Goal:
Align Google’s AI with real buyer intent and engagement behavior, driving more qualified traffic, stronger engagement, and 1ower costs.
The Challenge:
Thomas James Homes, the nation’s largest single lot builder, faced inconsistent Google Ads performance with declining paid search efficiency, rising acquisition costs, and spammy inquiries. They presented with a highly granular, fractured campaign structure that diluted learning signals and created inefficiencies across the entire campaign structure.
Our Approach:
Rather than relying on aggressive automation, or increasing spend, the campaigns were strategically rebuilt with a cleaner architecture, flexible scalability centered around buyer-intent signals, and phased AI learning.
Results:
• Over 170% more traffic
• 43% higher click-through rate
• 76% engagement rate
• 73% more views per session
• 48% reduction in cost per click
Clearly demonstrating that smarter structure and better buyer-intent signals can improve traffic quality, engagement, and efficiency simultaneously.
Ready to create a lead generation engine, too? Reach out to us.
