Reduced Cost Per Conversion by 42% While Driving 116% More Phone Calls for Scenic Ford

By consolidating fragmented broad and exact match campaigns into our Proprietary Keyword Matching Filter, we transformed local search efficiency for Scenic Ford in under 30 days.

Reduction in cpa
increase in phone calls
Increase in Total conversions
increase in conversion rate
PROBLEM & SOLUTION

Eliminating Wasted Spend on ‘Near Me’ Search Terms

Scenic Ford came to us looking to optimize campaign efficiency on core local search queries like “Ford dealer near me.” Operating in a lower-competition market, they felt they were overpaying for local searchers who would otherwise find them organically. Their legacy Google Ads setup was split between separate broad match and exact match campaigns – a structure that segmented data and inflated costs.

To solve this, we consolidated their campaigns into our proprietary Keyword Matching Filter. This allowed us to capture the lower CPCs of phrase match keywords while maintaining the strict intent and high conversion rate of exact match.

The 30-day pre/post data speaks for itself: total phone calls more than doubled from 49 to 106, overall conversions jumped 132% (from 23.20 to 53.79), and Cost Per Conversion plummeted from $29.61 down to $17.08.

Consolidated split broad and exact match campaigns into a unified structure
Deployed Keyword Matching Filter to capture low-cost phrase match intent
Drove a 116% surge in direct phone calls (49 to 106 monthly calls)
Cut Cost Per Conversion by 42% (from $29.61 down to $17.08)

THE TECHNICAL DEPLOYMENT

High-Intent Keyword Matching

Replaced Scenic Ford’s fragmented broad and exact match structures with phrase match keywords anchored by negative keyword funnels. This captured local “near me” queries at significantly lower CPCs without sacrificing lead quality.

Core Script Mechanics:
  • Blends the lower CPCs of phrase match with exact match precision
  • Filters out search terms for model-specific keywords to prevent keyword overlap
  • Halo effect showed increased traffic to Google Business Pages

Streamlined Campaign Structure

Merging overlapping exact and broad campaigns into a single phrase match strategy eliminated internal auction competition and allowed Google’s bidding algorithms to optimize on unified conversion data.

Improvements include:
  • Eliminates ad overlap and bid self-competition between campaigns
  • Aggregates conversion data to accelerate Smart Bidding learning phases
  • Maximizes impression share on core dealership intent terms

Geo-Targeted Auction Efficiency

Concentrated budget strictly on high-converting local car shoppers rather than burning ad spend on surrounding markets or low-intent queries.

Data Hygeine and Integrity Upgrades:
  • Restricts ad delivery to high-converting geographic radiuses
  • Proactively blocks non-local and out-of-market search terms
  • Directly increases high-value phone call conversions from mobile devices
Raw data

Proving with Data: 42% Lower CPA, 116% More Phone Calls

In the 30 days prior to implementing our Keyword Matching Filter, Scenic Ford’s split broad/exact match setup generated 23.20 conversions and 49 phone calls at a $29.61 CPA. In the 30 days following the transition to our consolidated phrase match filter, performance scaled drastically across every key account metric:

  • Total Conversions: 53.79 (up from 23.20, +132%)
  • Total Phone Calls: 106 (up from 49, +116%)
  • Cost Per Conversion (CPA): $17.08 (down from $29.61, -42%)
  • Click-Through Rate (CTR): 23.89% (+44% increase in ad relevance)
30-day pre/post campaign comparison for Scenic Ford proving the power of our Keyword Matching Filter: a 42% reduction in CPA ($29.61 down to $17.08) alongside a 116% increase in phone calls (49 to 106) on a unified account structure.

Stop Overpaying Google Ads

The data doesn’t lie. Send us a message to schedule a personalized walk-through of our Keyword Matching Filter, negative keyword funnels, and account consolidation tools. Let’s find out exactly how much wasted ad spend we can recover for you.

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