Measure what matters.
Chasing one metric costs you the rest.
Real performance gains come from focusing on the right KPI — then executing relentlessly. That's how I've driven outcomes across marketing, design, product discovery, and ecommerce personalization.
Now I bring the same discipline to product content optimization with CatalogIQ — AI catalog enrichment that improves product discoverability, increases engagement, and drives higher conversion.
Optimized discovery & conversion for enterprise retail
Signal over noise — applied.
Four disciplines that turn catalog and commerce data into measurable performance.
Catalog Intelligence
Your catalog isn't content. It's infrastructure.
- Attribute modeling & normalization
- Data quality scoring
- Enrichment frameworks
- Governance systems
Commerce Diagnostics
I don't chase symptoms. I isolate root causes.
- KPI audits
- Funnel diagnostics
- Catalog performance breakdown
- Competitive signal benchmarking
Product Discovery
If customers can't find it, you can't sell it.
- Search relevance & tuning
- Taxonomy architecture
- Faceting & filtering strategy
- Zero-click discovery alignment
Testing & Optimization
Stop guessing. Start compounding.
- Experimentation frameworks
- KPI definition & success modeling
- Conversion system design
- Governance over random testing
What CatalogIQ does
AI has changed product discovery. Search engines, marketplaces, and answer systems now rely more heavily on structured, complete, and differentiated product data. CatalogIQ is designed to help commerce teams fix the operational issues behind weak product content by improving completeness, structure, consistency, and performance readiness.
- Catalog Enrichment: improve missing attributes, weak descriptions, inconsistent structure, and thin PDP content.
- Catalog Builder: create usable product records from fragmented supplier, manufacturer, and internal data sources.
- Catalog Scoring: evaluate catalog quality across the dimensions that affect search, conversion, and AI visibility.
Optimizing how the world's brands sell
At Certona/Monetate and then Reflektion/Sitecore, I spent eight years optimizing ecommerce search, recommendations, and personalization for enterprise retail — Nike, The Home Depot, Gap, Uniqlo, Petco, DSW, Vera Bradley, Finish Line, and dozens more. Thousands of experiments, one question every time: does this actually help the customer find it and buy it?
Tex's Field Intelligence
Notes on AI's impact on ecommerce — from product discovery and search to zero-click shopping — and how CatalogIQ catalog enrichment solves modern product content optimization challenges.
How CatalogIQ Turned Fragmented Supplier Data Into a Competitive Advantage
See how structured catalog enrichment transformed inconsistent supplier data into scalable search visibility and revenue momentum.
Read → Catalog IntelligenceUnique Product Content Is the New Differentiator — Especially in AI Search
Generic product content blends in. CatalogIQ creates unique branded content that ranks, converts, and stands out in AI-driven search.
Read → Catalog IntelligenceContent Enrichment: The AI Engine Behind Product Content That Converts
CatalogIQ’s Smart Content Enrichment automates product data cleanup, enrichment, and brand-voice generation at scale.
Read →Let's talk about your catalog.
Whether it's discovery, experimentation, or getting your product data AI-ready — start with the metric that matters.