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Automotive · Lead Gen

Google Ads Case Study: +141% Leads for Alfa Romeo Dealership

Model-specific campaigns replaced generic dealer ads — turning brand spend into a precision lead machine.

+141%
Lead volume
-62%
Cost per lead
60 days
Timeline
Google Ads
Channel

The situation

Most automotive dealerships rely on generic catalog ads and broad brand campaigns that generate unqualified traffic. Alfa Romeo's previous agency ran basic promotional ads without strategic segmentation — poor lead quality and wasted spend on prospects not ready to purchase. The franchise needed Google Ads that matched how buyers actually shop: by model, by intent (new vs. used), and by the specific inventory they had already viewed — not another round of dealership-wide promotions.

The insight

Successful automotive campaigns segment by specific vehicle models and buying intent. Generic dealership messaging attracts tire-kickers; model-specific campaigns with intent-based segmentation attract buyers who know exactly what they want. We reverse-engineered what top-performing dealers were doing differently: separate campaign architecture per model, URL-level retargeting on inventory pages, and negative keyword lists that stopped campaigns from competing against each other.

What we deployed

Model-specific campaign architecture Restructured Google Ads with model-specific targeting — separating new and used vehicle interests so each ad spoke to a defined buyer moment instead of a generic lot tour.

URL-specific retargeting on inventory Implemented retargeting tied to the exact vehicle detail pages prospects viewed, so follow-up ads matched the model already in consideration.

Tracking rebuilt in GTM Rebuilt conversion tracking in Google Tag Manager — vehicle detail views, catalog browsing, and form submissions each fired as distinct events so optimization had clean signal.

Negative lists and Performance Max discipline Built 10+ negative keyword lists to eliminate campaign conflicts and continuously optimized Performance Max with visual targeting for relevance.

Results

Lead volume increased 141% within 60 days. Cost per lead dropped 62%. Generic brand spend became a precision lead machine — higher volume and measurably better qualification because ads matched model and intent instead of broadcasting to everyone.

Why it worked

Model beats brand in automotive search Buyers search for the car they want, not the dealership logo. Campaign structure that mirrors that behavior converts at a fundamentally different rate.

Retargeting only works when it is specific Showing the exact inventory someone viewed is the digital equivalent of a salesperson who remembers the test drive — relevance drives conversion.

Clean tracking unlocks optimization Without GTM-level event separation, Google optimizes on noise. Proper infrastructure is what makes a 141% lead lift repeatable instead of accidental.

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