An ecommerce brand spending $45K per month on Google Ads had a 5x ROAS but flatlined revenue. Smart Bidding was targeting repeat buyers, Performance Max was not segmented, and the tROAS target was too high for acquisition. Restructuring campaigns for new customer growth dropped ROAS to 3.5x but grew revenue 40 percent and increased profit over 90 days. This case study walks through the diagnosis, the fix, and why the pattern applies to most ecommerce accounts.
| Field | Source |
|---|---|
url | customer_site |
name | customer_site |
image | 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-an-ecommerce-brand-grew-revenue-40-p",
"url": "https://www.groas.com/post/ecommerce-brand-grew-revenue-40-percent-lower-roas-google-ads-case-study",
"name": "How An Ecommerce Brand Grew Revenue 40 Percent By Accepting A Lower ROAS",
"@type": "Article",
"image": "https://cdn.prod.website-files.com/6823bbd57170ea42b357cf81/6a1a8681047ae7f822bb02c9_hero.jpeg",
"headline": "How An Ecommerce Brand Grew Revenue 40 Percent By Accepting A Lower ROAS",
"description": "An ecommerce brand spending $45K per month on Google Ads had a 5x ROAS but flatlined revenue. Smart Bidding was targeting repeat buyers, Performance Max was not segmented, and the tROAS target was too high for acquisition. Restructuring campaigns for new customer growth dropped ROAS to 3.5x but grew revenue 40 percent and increased profit over 90 days. This case study walks through the diagnosis, the fix, and why the pattern applies to most ecommerce accounts.",
"dateModified": "2026-05-30T06:41:05.453Z",
"datePublished": "2026-05-30T06:47:15.153Z"
}