A B2B SaaS company's Google Ads looked healthy on the surface while pipeline quality quietly collapsed. The root cause was conversion tracking that rewarded form fills instead of qualified leads, polluting Smart Bidding signals. This case study traces the diagnosis, the structural fix of rebuilding the conversion hierarchy around MQL and SQL events, and what changed when the groas engine took over optimization on a DWY model with the in-house team retaining strategic control. Within 90 days, pipeline quality recovered and the team started using Google Ads data to drive revenue decisions.
| Field | Source |
|---|---|
url | customer_site |
name | customer_site |
image | customer_site |
headline | customer_site |
description | customer_site |
dateModified | customer_site |
datePublished | customer_site |
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"headline": "How A B2B SaaS Team Fixed Google Ads Attribution And Recovered Pipeline Quality",
"description": "A B2B SaaS company's Google Ads looked healthy on the surface while pipeline quality quietly collapsed. The root cause was conversion tracking that rewarded form fills instead of qualified leads, polluting Smart Bidding signals. This case study traces the diagnosis, the structural fix of rebuilding the conversion hierarchy around MQL and SQL events, and what changed when the groas engine took over optimization on a DWY model with the in-house team retaining strategic control. Within 90 days, pipeline quality recovered and the team started using Google Ads data to drive revenue decisions.",
"dateModified": "2026-05-31T06:49:44.323Z",
"datePublished": "2026-05-31T06:55:38.847Z"
}