A representative SaaS team running $40K/month in Google Ads rebuilt their campaign architecture around buyer intent, recalibrated conversion tracking to reflect pipeline quality, and switched bidding to optimize for MQL-weighted conversions. The result: CPL decreased, trial-to-paid rates improved, and budget scaled without cost degradation. This article breaks down exactly what went wrong, what got fixed, and how groas's DWY model gives in-house teams the engine and strategist to execute these structural fixes without losing control of their accounts.
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"url": "https://www.groas.com/post/saas-google-ads-case-study-fix-rising-cpl-pipeline-intent-rebuild",
"name": "How A SaaS Team Fixed Rising CPL By Rebuilding Google Ads For Pipeline Intent",
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"headline": "How A SaaS Team Fixed Rising CPL By Rebuilding Google Ads For Pipeline Intent",
"description": "A representative SaaS team running $40K/month in Google Ads rebuilt their campaign architecture around buyer intent, recalibrated conversion tracking to reflect pipeline quality, and switched bidding to optimize for MQL-weighted conversions. The result: CPL decreased, trial-to-paid rates improved, and budget scaled without cost degradation. This article breaks down exactly what went wrong, what got fixed, and how groas's DWY model gives in-house teams the engine and strategist to execute these structural fixes without losing control of their accounts.",
"dateModified": "2026-06-10T06:51:06.734Z",
"datePublished": "2026-06-10T06:56:29.829Z"
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