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Most ecommerce teams think performance comes from better ads. It doesn’t. It comes from how clearly your data communicates with machines.
In this episode, we break down ACES and PIES, the structured data standards that taught the automotive industry how to scale ecommerce. You’ll learn how fitment data, product attributes, and machine-readable structure determine what gets shown, what gets clicked, and what actually converts.
We also cover:
What ACES and PIES actually do (fitment vs product data)
Why standardization made every listing look the same
How top brands use structured data to create a competitive edge
Why Google and marketplaces reward clarity, not creativity
How this applies beyond automotive to all ecommerce
If you manage a large catalog, run Google Shopping or PMax, or feel like performance is inconsistent, this is the layer you’re missing.
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Who am I, and why should you listen to me?
I’m Tom Bukevicius, founder of SCUBE Marketing. For more than 15 years, our team has worked with ecommerce brands that sell complex, specification-driven products (think automotive aftermarket, construction, safety gear, marine/boating). These are large catalogs where performance depends on accurate data, structured feeds, and campaigns that reflect how buyers actually search. We focus on helping retailers make channels like Google Ads, Google Shopping and SEO actually work at scale.
Our approach goes beyond chasing higher ROAS. We focus on the systems behind performance. Product feeds, campaign structure, and data quality all play a role in whether paid media becomes profitable or unpredictable.
We manage paid search, Shopping, SEO, remarketing, and paid social for brands that need more than surface-level optimization. Our goal is simple: build marketing systems that turn product data and catalog complexity into consistent, profitable growth.