Case Study: Google Ads ROAS Improvement

Scaling E-commerce Revenue Through Google Ads Optimisation

Reworked an inefficient Google Ads account to improve return on ad spend, allocate budget more effectively, and drive profitable online sales.

E-commerce / Home & LifestyleBefore and after comparison
ROAS
Before2.1x
After4.8x
+129%
Monthly ad spend$8K to $10K+25%
Monthly conversion value$16.8K to $48K+186%
Cost per purchase$42 to $29-31%
1. Project overview

The Project at a Glance

Reworked an inefficient Google Ads account to improve return on ad spend, allocate budget more effectively, and drive profitable online sales.

Industry
E-commerce / Home & Lifestyle
Service
Google Ads ROAS Improvement
Primary result
ROAS: 2.1x to 4.8x
2. Industry and objectives

E-commerce / Home & Lifestyle

Business objectives for this project:

  • Improve return on ad spend (ROAS).
  • Allocate existing budget to the campaigns and search terms that earn it.
  • Get reliable purchase tracking and visibility into profitability.
  • Fix product feed issues affecting Shopping and Performance Max.
  • Make campaign decisions data-driven and focused on revenue.
Before01 Jan 2026 to 31 Mar 2026
After01 Apr 2026 to 30 Jun 2026

Measurement period. Both periods are equal in length, so monthly averages compare like for like. Monthly figures are monthly averages for each period. Percentage changes compare the after period with the before period; changes in rates also show percentage points where they apply.

3. Initial challenges

What Was Holding Results Back

01

High advertising costs without sufficient conversion value.

02

Budget allocated to low-performing campaigns and search terms.

03

Inconsistent conversion tracking and limited visibility into campaign profitability.

04

Product feed issues affecting Shopping and Performance Max campaigns.

4. Before and after

The Numbers, Side by Side

Each figure below compares the before period with the after period. Percentage changes and percentage-point changes are labeled separately.

ROAS

Before2.1x
After4.8x
+129%129% improvement

Monthly ad spend

Monthly average
Before$8K
After$10K
+25%25% increase

Monthly conversion value

Monthly average
Before$16.8K
After$48K
+186%186% increase

Cost per purchase

Before$42
After$29
-31%31% reduction
5. Strategy and implementation

How We Did It

The work performed, in the order it was done.

1

Account audit

Audited campaign structure, search terms, keywords, and bidding strategies.

2

Campaign optimisation

Optimised Search, Shopping, and Performance Max campaigns.

3

Feed quality

Improved product titles, attributes, and feed quality in Google Merchant Center.

4

Negatives and allocation

Refined negative keywords and budget allocation.

5

Tracking audit

Audited purchase tracking through Google Ads, GA4, and Google Tag Manager.

6

Scale on value

Scaled campaigns based on conversion value and ROAS performance.

6. Results and business impact

What It Meant for the Business

ROAS increased from 2.1x to 4.8x.

Conversion value grew while advertising spend increased moderately.

Cost per purchase decreased.

Campaign decisions became more data-driven and focused on revenue.

Search campaign dashboard
ROAS4.8x
Monthly ad spend$10K
Monthly conversion value$48K
Cost per purchase$29
Before2.1x
After4.8x
ROAS
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7. Key performance indicators

All KPIs in One Place

Calculated from the before and after values for the measurement period shown above.

MetricBeforeAfterChangeType of change
ROAS2.1x4.8x+129%Relative percentage
Monthly ad spend (monthly average)$8K$10K+25%Relative percentage
Monthly conversion value (monthly average)$16.8K$48K+186%Relative percentage
Cost per purchase$42$29-31%Relative percentage
  • ROAS moved from 2.1x to 4.8x, a 129% increase.
  • Monthly ad spend moved from $8K to $10K, a 25% increase.
  • Monthly conversion value moved from $16.8K to $48K, a 186% increase.
  • Cost per purchase moved from $42 to $29, a 31% reduction.

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