A case study in the power of product data enrichment for eCommerce advertising
The Challenge: Great Products, Invisible Online
POS Plaza sells point-of-sale hardware and ID card solutions to Australian businesses - a niche market where the right buyer intent matters enormously. Like many specialist eCommerce merchants, they were running Google Shopping campaigns with reasonable results, but their product data was holding them back. Generic titles, thin descriptions, and missing attributes meant Google's algorithms couldn't fully understand what they were selling - or match their products to the shoppers actively searching for them.
They knew the opportunity was there. They just needed to unlock it.
The Solution: Enriching Product Data with Cartexel.ai
POS Plaza partnered with Cartexel.ai to transform their product feed from the ground up. The Cartexel platform analysed their entire catalogue and enriched each product with:
- SEO and LLM-optimised titles that match real search intent
- Rich, structured descriptions with the specific attributes Google Shopping and Performance Max campaigns rely on
- Complete product attributes - categories, GTINs, materials, compatibility, and use cases - that feed Google's AI with the signals it needs to surface products to the right audience
The goal wasn't just better SEO. It was giving Google's machine learning the fuel it needed to do its job.
The Results: A Year-Over-Year Transformation
Comparing the 30 days after enrichment to the same period the prior year tells a dramatic story.
Year-on-year improvement
Campaign performance metrics
Return on ad spend
From unprofitable to 5x return
Visibility Exploded
Total impressions across the account grew by over 240% year-on-year. With richer product data, Google's algorithms could confidently enter POS Plaza's products into far more auctions - and win them. Their existing Shopping campaign alone saw impression growth of nearly 9%, while the launch of a new Performance Max campaign (made possible by the higher-quality data) drove the overall visibility surge.
Clicks Followed
A 350%+ increase in total clicks demonstrated that the increased visibility was converting into genuine interest. Better product titles and descriptions meant ads were not just appearing more - they were resonating with searchers enough to earn the click. The Shopping campaign's clicks grew by over 45% on their own.
Conversions Skyrocketed
This is where the story gets compelling. Overall conversions grew by nearly 600% year-on-year. The existing Shopping campaign alone doubled its conversions - a 100% improvement - simply by having richer, more relevant product data feeding the same campaign structure.
From Unprofitable Ads to a Healthy Return
Perhaps the most telling shift was in Return on Ad Spend. A year ago, POS Plaza's Google Ads were effectively losing money - their ROAS sat below 1x, meaning every dollar spent on ads returned less than a dollar in revenue. After enriching their product data with Cartexel.ai, that same ad spend now delivers a return well above 5x. The campaigns didn't just improve - they crossed the line from a cost centre into a genuine revenue engine.
Cost Efficiency Improved Dramatically
The ROAS improvement was driven by efficiency gains across the board. The cost per conversion dropped by over 50% account-wide, meaning POS Plaza was paying half as much for each sale compared to the prior year. The Shopping campaign's cost per conversion improved by nearly 17% even as conversion volume doubled. More sales, at a lower cost per sale, at a higher return - that's the compounding effect of better product data.
Conversion Rate Nearly Tripled
The conversion rate grew by over 167%, reflecting a deeper alignment between what shoppers were searching for and what POS Plaza was showing them. Better product data creates a virtuous cycle: Google shows your ads to better-matched audiences, who convert at higher rates, which signals to Google to find even more audiences like them.
Why Product Data Quality Is the Multiplier
POS Plaza's results illustrate a principle that Cartexel.ai was built around: your Google Ads performance is only as good as your product data.
Google's Shopping and Performance Max algorithms are incredibly powerful - but they're only as smart as the data you feed them. When product titles are vague, descriptions are thin, and attributes are missing, Google is flying blind. It can't confidently match your products to searchers, it can't optimise bids intelligently, and it can't unlock the full potential of AI-powered campaigns like Performance Max.
When you enrich that data - making it structured, specific, and rich with the signals Google's models are trained to understand - everything changes. Impressions find the right eyeballs. Clicks convert. Campaigns optimise faster. And the results compound.
What This Means for eCommerce Merchants
If you're running Google Shopping or Performance Max campaigns, your product feed quality is likely your biggest untapped lever for performance improvement. Not your bids. Not your budget. Not your audience targeting. Your data.
Cartexel.ai was built specifically for this problem - automating the enrichment of eCommerce product catalogues to make them SEO-ready, LLM-ready, and Google Ads-ready, at scale.
POS Plaza's results are not an anomaly. They're what happens when you give Google's AI the information it needs to work for you.
Ready to Transform Your Product Data?
If you're an eCommerce merchant running Google Ads and want to see what better product data could do for your campaigns, get started with Cartexel.ai today.
*Results based on a year-on-year comparison of Google Ads campaign performance before and after product data enrichment with Cartexel.ai. Individual results will vary based on catalogue size, category, and campaign setup.*