Metro Auto Group: 340% ROAS — from barely breaking even to $1.8M in Q1
A bloated $45K/month ad account generating 120% ROAS. Barely breaking even. Our AI campaign optimization system tripled ROAS and doubled conversion volume in 8 weeks without adding a single dollar of budget.
The challenge
Metro Auto Group was the largest dealer network in their region—and the biggest waster of ad spend. They were pouring $45K/month into Google Ads with a 120% ROAS that barely covered costs. Campaigns used broad match keywords that attracted browsers instead of buyers. Landing pages were generic inventory dumps with zero conversion optimization. Cost per lead had climbed to $187 and was rising every quarter. Their team had accepted this as normal.
Our approach
We rebuilt the entire account using autonomous AI bid management and predictive campaign modeling. Our system segmented campaigns by vehicle category, price tier, and buyer intent—creating 200+ hyper-targeted ad groups, each directing traffic to AI-personalized landing pages that dynamically adjusted headlines, images, and CTAs based on search query and user behavior. Predictive analytics identified the highest-converting time slots, demographics, and geographic zones, reallocating budget in real time toward maximum ROI. Self-optimizing campaigns that improved automatically from day one.
The results
ROAS jumped from 120% to 340% in the first quarter—nearly tripling return on every ad dollar. Cost per lead dropped 55%, from $187 to $84. Total conversions increased 200% without increasing total ad spend. The AI bidding system now self-optimizes daily, continuously shifting budget toward the highest-performing segments. Metro Auto added $1.8M in attributable vehicle sales in Q1 alone. The campaign management team now spends 80% less time on optimization.
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“The system they built touches every part of our operation — from the first search to the signed contract. We don't have a marketing team. We have AI that does what a marketing team costs 10x more to do.”
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