Named clients. Verifiable metrics. No anonymized fluff — every engagement below ships with the numbers behind it.
Slow experimentation cycles and disconnected data drove rising inventory costs. We implemented causal-lift ROI frameworks, SKU-level elasticity, and multi-horizon dynamic pricing simulations.
Stagnant CPMs, inefficient auctions, inability to scale creative. We shipped a GenAI engine producing 10k+ variants/mo with predictive scoring, contextual yield, and ML floor pricing.
Multi-million dollar losses from stockouts and dead inventory. We deployed attribute-based replenishment, SKU-level ML demand forecasting, and automated ML drift governance.
High CPA limited profitable scale. Algorithmic cohort targeting on Apple Search Ads plus a restructured campaign architecture fed cleaner data to bidding algorithms.
Unpredictable wait times and readmission penalties. A predictive flow engine, Epic/FHIR-integrated risk scoring, and automated compliance gates unlocked board-level AI investment.
Superior product, zero digital visibility. Semantic search modeling mapped conversational queries, position-zero engineering captured snippets, and deep technical fixes unblocked indexing.
6–12 month sales cycles and high-friction buyer journeys. A generative RFP engine, persona-specific ROI calculators, and budget-cycle-aligned content compressed the funnel.
High CPL capping scalable volume. Channel arbitrage on underutilized inventory plus automated bid adjustments tied to lead-quality signals reset the unit economics.
Needed brand positioning as energy-savings thought-leader. Voice-search-ready position-zero optimization plus 100+ engineering-query-structured articles drove high-value lead flow.
Scaling organic reach in a crowded wellness market. Wiki-style pillar architecture and comprehensive schema markup unlocked rich-result visibility across hundreds of topics.
