Scaling Your E-Commerce Brand with the Right Google Ads Strategy | Google Ads Case Studies
Increasing ad spend exponentially while simultaneously improving Return on Ad Spend (ROAS) doesn't have to be a pipe dream. I have a few simple solutions for E-commerce brand owners.
I’ll break down the exact steps I used to help one of my Google Ads clients achieve tremendous results, including:
Tremendous growth was achieved, looking at the date range of November 25th, 2024, to September 27th, 2025.
ROAS increased to 4.12.
Conversions went up by 400+ (totaling 1,800+).
And revenue climbed to $89K (+$36K) while ad spend scaled to $62K.
Campaign Audit: Fixing the Foundations
One major issue stood out at first glance of this account — the Performance Max (PMAX) campaigns weren’t properly segmented.
Many asset groups relied on automated video creatives, which led to inconsistent branding and underperforming visuals.
This was a big problem for a visual e-commerce brand in the beauty and health niche, where presentation is everything.
Restructuring campaigns became the first focus, specifically working towards:
Various experiments resulted in a definite performance lift.
One test achieved a 6x ROAS using in-market and affinity signals for high-intent buyers.
Shopping vs. Remarketing Campaigns
Shopping campaigns were the clear winner in this account.
They consistently brought in higher-converting traffic because users searching via Shopping are closer to the point of purchase.
Meanwhile, remarketing campaigns were good for re-engagement but not always the most profitable. These audiences often have lower intent — they may have browsed but didn’t buy for various reasons (budget, timing, etc.).
That said, remarketing is still valuable for volume and brand recall, especially when paired with fresh creatives.
Visual variation testing had a major impact on engagement.
Leveraging Google Insights
Google’s Insights tab is one of the most underused features in Ads.
It shows data on projected revenue, auction overlap with competitors, and emerging trends.
This data allowed the client to target competitor brand URLs directly, create comparison-style landing pages and optimize based on conversion volume and impression share.
These adjustments helped to refine targeting and maximize reach in high-performing segments.
Audience Insights & Creative Personalization
Inside Google Ads, audience indexing showcases who’s most likely to buy.
In this case, top segments included:
Instead of creating new signals every time, creatives were tailored to each audience:
This alignment between audience insights and creative themes improved CTRs and conversion quality.
Product Segmentation & Seasonal Testing
Next, the campaigns were broken up into product-based segments.
Previously, all products were lumped together, which blurred performance metrics.
Segmenting allowed for the optimization of bids by margin and seasonality, the prioritization of summer products (like sunscreen) or winter skincare, and testing of new customer acquisition settings separately from existing customer campaigns.
This helped identify the most profitable products while maintaining scalability in PMAX.
Search Campaign Optimization
Search was another weak point.
The client had no branded search campaign, which left their brand name vulnerable to competitor bidding.
Branded campaigns act as defensive protection — ensuring the capture of traffic and conversions.
Once PMAX identified winning brands and products, it led to the launch of dedicated search campaigns for those terms.
This allows the client to own the real estate across Search + Shopping + Display, creating a more consistent customer journey.
Ad Copy Testing & CTR Experiments
Strong ad copy can make or break campaign performance.
Multiple ad variations were tested across search campaigns, focusing on:
The CTR improvements shown above are from A/B tests.
The goal was to exceed a 5% clickthrough rate (CTR) — and that's what happened.
Some experiments achieved 142% more conversions, lowered cost-per-conversion, and significantly boosted click volume.
Key takeaway: Never stop testing ad copy.
Bid strategy and messaging experiments should be ongoing.
PMAX + Shopping: A Powerful Combination
A common mistake is over-relying on PMAX alone.
PMAX is fantastic, but it doesn’t allocate 100% of its budget to Shopping (usually 70–80%).
To capture additional sales, complementary Shopping campaigns were run focusing on:
This combo helped boost total conversion volume and signaled Google to optimize even more efficiently.
Data, Tracking, and Remarketing Signals
Finally, it was imperative that the account’s analytics and conversion tracking were fully aligned.
Key tracking events were monitored including Add-to-cart events, Checkouts and Completed purchases.
These metrics fed back into PMAX for smarter remarketing.
I also uploaded customer lists to train Google on lookalike audiences.
Once matched (~1,000 users), these lists helped PMAX and YouTube campaigns identify new high-quality buyers faster.
The Takeaway
The key to scaling profitably isn’t just increasing spend — it’s segmenting campaigns intelligently, testing relentlessly, and feeding Google the right signals.
Combining creative insights, data alignment, and a structured campaign strategy led to noticeable increases in spend and revenue as well as considerably higher AOV and ROAS.
Shorten your learning curve, make the most of your resources, an maximize your impact both online and off.
Ted is the founder of TGQ Marketing a PPC, Analytics and CRO agency focused on client results.