Measure What Matters
Better isn’t a guess. It’s measured.
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.
For manufacturers, distributors, retailers, and marketplaces in modern commerce.
Meet me at SHOPTALK 2026 in Las Vegas
March 24–26 • Connect here for a CatalogIQ demo.
What's your CatalogIQ?
Signal over noise - applied.
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
1,500+ Optimization Tests Across 50 Clients • $10M Incremental Revenue
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.
Content Enrichment - The AI Engine Behind Product Content That Converts
CatalogIQ’s Content Enrichment automates product data cleanup, enrichment, and brand-voice generation at scale.
Map, Normalize, Merge: How AI Fixes the Hidden Data Problems Behind B2B Search
Most distributors struggle with supplier data that won’t fit, won’t match, and won’t merge. Discover how CatalogIQ™ mapping, normalization, and deduplication restore structure, accuracy, and search performance.