E-commerce Google Ads Optimization Case Study

Scaling Revenue With Smarter Google Campaigns

This case study highlights how a high consideration e-commerce brand improved Google Ads performance year over year through focused optimization. The brand sells premium products with seasonal demand and high average order values.

In 2025, the Google Ads account was restructured and optimized to drive more revenue while maintaining profitability. The result was significant growth across conversions, conversion value, and conversion value per cost.

The Challenge

At the start of 2025, the e-commerce brand faced several challenges common to high AOV online retailers:

• Seasonal fluctuations in demand

• Products that require high purchase intent

• Clear break even ROAS targets that limited margin for inefficiency

• Issues scaling Google Shopping and Performance Max campaigns

The primary goal was to grow Google Ads driven revenue without sacrificing efficiency.

Year Over Year Google Ads Results

Data from the 2025 campaign report shows strong improvement compared to the prior year.

• Conversion value increased by 65% year over year

• Ad spend increased by only 23%

• Revenue growth significantly outpaced budget growth

Efficiency improved alongside scale.

• Return on ad spend increased from 6.26 in 2024 to 8.42 in 2025

• 2025 ROAS reached 842%

  • Break even ROAS for the brand was 570%

For every one dollar spent on Google Ads in 2025, the brand generated 8.42 dollars in revenue.

Google Ads Optimization Strategy

Several key changes contributed to improved e-commerce performance in 2025.

Shopping and Performance Max Optimization

We didn't just let Performance Max (PMax) run on autopilot. We rebuilt the campaigns to force the algorithm to prioritize our best products:

• Optimized the PMax campaign with more focused asset groups with their own search terms and audiences

• Expanded investment in Google Shopping and PMax campaigns as shopping ads now dominate traditional search ads in the e-commerce space

• Shifted budget toward the high performing Shopping campaign, which we launched to run alongside PMax in order to control channels more closely

  
  

Smarter Bidding and Budget Management

We calculated the client's specific break-even ROAS (570%) early in the year. This gave us a clear "green light/red light" metric. As long as our campaign ROAS remained above 570%, we knew we were generating actual profit, allowing us to scale spend with confidence:

• Implemented Target ROAS bidding aligned with unit economics

• Adjusted ROAS targets based on seasonality and performance trends

• Prioritized spend on campaigns exceeding break even ROAS

Product Feed and Creative Improvements

The Google Ads datafeed is often neglected but can be one of the biggest levers you can adjust to help increase visibility:

• Optimized product titles and descriptions for relevance

• Added clearer product attributes and use case language

• Introduced new product and lifestyle imagery

Audience and Targeting Refinements

We tightened location settings and layered on exclusions to ensure we were paying for the right clicks:

• We switched location targeting to “Presence: People in or regularly in your included locations” to prevent wasted clicks from people outside the shipping zones

• Added newsletter subscribers and past purchaser audiences

• Refined demographic targeting to focus on higher converting users (higher incomes, older demographics)

• Excluded low quality placements and underperforming inventory

Promotion and Seasonality Alignment

As this client's business is highly seasonal, we leaned into that by adjusting copy, rethinking monthly budget allocations, and leveraged promotions:

• Aligned promotional messaging with seasonal buying behavior rather than letting the ads get stale

• Timed offers to capture high intent demand

• Adjusted budgets dynamically during peak sales periods

Conclusion

Strong e-commerce Google Ads performance is driven by strategy, not just budget increases. This case study shows how focused optimization across Shopping, Performance Max, bidding, and product feeds can deliver meaningful year over year growth.