A walkthrough of how a dental group with 11 locations rebuilt a broken national Google Ads campaign into profitable location-specific campaigns. Covers geographic budget bleed diagnosis, conversion tracking fixes for booked appointments, Smart Bidding activation, and Performance Max layering. Designed for dental and multi-location healthcare groups evaluating fully managed Google Ads.
| Field | Source |
|---|---|
url | customer_site |
name | customer_site |
headline | customer_site |
description | customer_site |
dateModified | customer_site |
datePublished | customer_site |
{
"@context": "https://schema.org",
"@id": "https://graph.groas.com/entity/how-a-multi-location-dental-group-cut-co-2",
"url": "https://www.groas.com/post/multi-location-dental-google-ads-local-intent-rebuild-cost-per-patient",
"name": "How A Multi-Location Dental Group Cut Cost Per New Patient By Rebuilding Google Ads Around Local Intent",
"@type": "Article",
"headline": "How A Multi-Location Dental Group Cut Cost Per New Patient By Rebuilding Google Ads Around Local Intent",
"description": "A walkthrough of how a dental group with 11 locations rebuilt a broken national Google Ads campaign into profitable location-specific campaigns. Covers geographic budget bleed diagnosis, conversion tracking fixes for booked appointments, Smart Bidding activation, and Performance Max layering. Designed for dental and multi-location healthcare groups evaluating fully managed Google Ads.",
"dateModified": "2026-06-15T06:48:02.600Z",
"datePublished": "2026-06-15T06:48:17.014Z"
}