About Advertalytics

We build the data infrastructure that makes AI useful for ecommerce brands. The foundation that turns raw financial and ad performance data into something Claude, GPT, or any model can actually reason about.

Why this exists.

I spent years inside businesses where good founders were making consequential decisions with incomplete, distorted, or misleading data. Dashboards that looked impressive and answered nothing. Agencies that reported success while profit quietly slipped away. Creative teams that worked hard without a system connecting effort to outcome.

The pattern was always the same: the data didn’t agree with itself, the creative was untethered from financial reality, and every decision was downstream of a distortion nobody could see.

Now every brand is rushing to use AI. But AI doesn’t fix bad data. It amplifies it. Without structured, first-party commercial data, you get polished recommendations grounded in nothing.

Advertalytics exists to solve that problem at the infrastructure level. We build the data layer, the models, and the creative intelligence engine so that when you use AI to grow your business, it’s working from your actual numbers.

What We Build

Data models deployed to your infrastructure. Intelligence that compounds.

Financial Intelligence Layer

Your Shopify, ad platform, and P&L data unified into a single source of truth on Google Cloud Platform. Contribution margin, CAC, LTV, and true ROAS calculated from first-party data. The structured foundation that makes AI reliable.

Creative Intelligence Engine

Systematically differentiated creative combinations produced from a direct-response framework proven across 22 industries. Every ad is a structured hypothesis. Every element is tagged. Accessible via API so your AI tools can read every result.

ML Models That Learn Your Business

Machine learning models trained on your performance history and continuously updated as new data flows through your infrastructure. Optimized toward your financial target, whether that’s profit or growth.

20+ years in the trenches.

Advertalytics was built by Zac Romero. The career path that led here wasn’t planned. It was accumulated. Copywriter, direct-response marketer, media buyer, media analyst, director of creative strategy, analytics engineer, data scientist, systems architect. Each role added a layer of understanding that the previous one lacked.

Writing copy teaches you what makes people act. Buying media teaches you what the platforms actually optimize for. Analyzing performance data teaches you how much of what gets reported is noise. Building data pipelines teaches you where the signal lives. And directing creative strategy across dozens of brands and millions in ad spend teaches you that no single discipline solves the problem on its own.

The insight behind Advertalytics came from sitting in all of those seats: the financial data, the creative decisions, and the optimization logic need to live in one system that learns. Not spread across five tools that don’t talk to each other.

That breadth of experience is what makes this work. Not expertise in one layer. Fluency across all of them.

This is not a volume business. I work with a small number of founders who are spending real money on paid media and want the data infrastructure to make AI actually work for their business. Not another vendor. Not another dashboard. The foundation that makes everything else reliable.

My role is simple: build the data layer, ship the models, and make sure the system keeps getting smarter.

Zac Romero
Founder, Advertalytics