Study: Broad Match Boosts Revenue Per Conversion, But Comes at a Cost

Amid ongoing industry speculation about the future of Google Ads match types, a new large-scale analysis offers timely insights for advertisers navigating current campaign strategies. A recent study examining over 16,800 search campaigns reveals that broad match can significantly boost revenue per conversion, though this advantage often comes with increased cost-per-acquisition. While exact match continues to deliver superior efficiency metrics, broad match demonstrates unexpected strengths when leveraged with Google’s automated bidding technology.

Exact match maintains its position as the most efficient option, achieving higher click-through rates, better conversion rates, and stronger return on ad spend. The trade-off, however, is substantially fewer impressions. Broad match performs inconsistently on its own but becomes remarkably effective when combined with Google’s automated bidding signals. Under Max Conversion Value strategies, broad match notably outperformed other match types in revenue generated per conversion.

Phrase match emerges as the underperformer in the study. Despite showing acceptable conversion rates, it frequently struggles with higher CPAs and lower ROAS. This appears to stem from Google applying less sophisticated bidding signals to phrase match compared to the advanced signals reserved for broad match campaigns.

For ecommerce advertisers using Max Conversion Value bidding, broad match excels at driving higher cart values, while exact match proves ideal for single-product purchases. Phrase match trails significantly in both scenarios. With Target ROAS bidding, exact match maintains efficiency leadership, though phrase match can generate surprisingly strong revenue when sufficient data volume exists. Broad match also delivers solid performance in this context, benefiting from Google’s enhanced bidding signals.

Lead generation campaigns tell a different story. Under Max Conversion bidding, exact match dominates performance, while phrase match suffers from elevated CPAs. Broad match generates inexpensive clicks but often at the cost of questionable lead quality. With Target CPA bidding, exact match again leads, though phrase match becomes competitive with adequate data volume. Broad match generally underperforms except when additional conversion volume becomes the primary objective.

Manual CPC campaigns strongly favor exact match, with broad match primarily utilized by smaller advertisers seeking expanded reach. Max Clicks bidding sees broad match capturing low-cost clicks and minimal CPAs, while phrase match continues to struggle. For Target Impression Share campaigns, exact match proves dominant for brand protection and conquest campaigns, whereas phrase match frequently matches with irrelevant search queries.

This comprehensive analysis demonstrates how modern match types perform across contemporary bidding strategies. Broad match, frequently dismissed as inefficient, actually drives higher revenue per conversion in specific scenarios, while phrase match consistently underperforms expectations. The selection between match types directly influences ROAS, CPA, and overall campaign efficiency.

The performance gap appears linked to Google’s bidding technology. Broad match receives unique bid signals unavailable to other match types, potentially explaining its unexpected revenue performance. Phrase match, despite appearing more targeted, lacks these advanced signals and consequently underdelivers.

For most advertisers, beginning with exact match provides the strongest foundation. Broad match becomes valuable when seeking expanded volume and can tolerate higher acquisition costs. Phrase match remains most suitable for larger accounts with sufficient data to stabilize its inconsistent performance.

(Source: Search Engine Land)