Google Ads Case Study: eCommerce

How an eCommerce Brand Generated $120K in Revenue from $40K in Google Ads Spend

Between January 2025 and December 2025, we took over a Google Ads account with a core tracking problem: it was optimising toward the wrong actions. Page views were being counted as conversions, which meant the algorithm had no accurate signal to work from. After correcting tracking, fixing revenue attribution, rebuilding campaign targeting, and resolving structural bottlenecks, the account reached 4.1x ROAS on $40K in spend.

eCommerce | Google Ads | Search · Shopping · Performance Max | Jan 2025 – Dec 2025

Project Overview

A 12-month engagement on an eCommerce Google Ads account with a fundamental data integrity problem. The account was optimising toward page views rather than actual purchases, which meant every bidding decision the algorithm made was based on inaccurate signals.

Revenue tracking was misaligned, targeting was too broad, and campaign architecture was limiting Smart Bidding performance. The objective was to fix the foundation before attempting to scale.

Challenges

The account was optimizing toward irrelevant actions such as page views instead of actual purchase or high-value events.

Revenue tracking was misaligned, leading to unreliable ROAS reporting and flawed bidding signals.

Campaign targeting was too broad and not aligned with high-intent users.

Budget increases were not translating into proportional growth in conversion value.

Structural issues within campaigns were limiting Smart Bidding effectiveness and performance expansion.

Solutions

Removed incorrect goals (e.g., page views) and ensured optimization focused only on true revenue-driving conversions.

Aligned conversion value tracking with actual transaction data from the confirmation page to restore bidding accuracy.

Rebuilt campaign targeting to prioritize users most likely to generate high-value conversions.

Eliminated low-quality placements and concentrated spend on high-performing, high-value inventory.

Identified and resolved campaign architecture bottlenecks to enable stable and efficient budget scaling.

ROAS

0 x

Revenue

0 k+

Conversions

0 +

Managed Ad Spend

0 K+

More Case Studies

Photo Products · eCommerce

How a US Photo Products Brand Turned $55K in Ad Spend into $536K in Revenue

10x ROAS · $536K Revenue · $55K Spend

Healthcare · Multi-Location USA

How a Multi-Location US Clinic Generated 9,700 Patient Leads at $15.94 Per Lead

9.7K+ Leads · $15.94 CPA · 12% CVR

Kitchen Products · eCommerce · UK

How a UK Kitchen Bins Brand Added 250 New Customers and Hit 4.7x ROAS

4.7x ROAS · 250+ New Customers · 3.2x New Customer ROAS

Not Sure If Your Ads Are Being Handled the Right Way?

We will review your current Google, Meta, and LinkedIn ad setups and share where improvements can be made.

No pressure. No commitment. Just a clear point of view.

Get Your Free Audit