Bret Lawson
Proven leader in AI and LLM-enhanced analytics, predictive ecommerce forecasting, and performance-driven digital marketing optimization. Specialist in transforming complex business intelligence into revenue-generating forecasts using cutting-edge AI tools, Python, and advanced data science to deliver measurable ROI across enterprise retail operations.
Technical Expertise
Modern analytics infrastructure and AI-enhanced development tools
🤖 AI & LLM Integration
“Python (LangChain, OpenAI API), LLM-Enhanced Analytics, GenAI Workflows
💾 Data Engineering
“SQL, BigQuery, Google Cloud, Data Lakes, Advanced Excel
📊 Analytics Platforms
Tableau, Looker Studio, Power BI, R Shiny, Streamlit
📈 BI & Visualization
Adobe Analytics (CJA), Google Analytics, ContentSquare, DataDog
🔗 Marketing & Attribution
Google Ads, Adobe Advertising Cloud, Google Campaign Manager, Multi-Touch Attribution Models
🔍 Research & Optimization
SimilarWeb, Foursquare, FullStory, eSpatial, Geospatial Technologies, A/B Testing Platforms
Core Value Propositions
Delivering measurable business impact through advanced analytics and strategic insights
📈 Ecommerce Forecasting Mastery
Advanced predictive modeling for revenue, inventory, and demand forecasting across 200K+ SKU catalogs with proven multi-million dollar impact
🎯 Digital Marketing ROI Optimization
Expert in attribution modeling, campaign optimization, and media mix analysis driving exponential audience reach and ROAS improvement
📋 Ad-Hoc Reporting Excellence
Expert in rapid insights generation through custom SQL queries, automated reporting systems, and executive-level analytics dashboards
⚡ Data Lake Efficiency
Expert in cloud-based data architectures using Python, R, SQL, and modern BI tools for maximum analytical efficiency
🔧 Analytics Platform Mastery
Expert in enterprise implementation of Adobe CJA, ContentSquare, Google Analytics, and multi-platform integration for comprehensive customer journey insights
Sample Analysis
Interactive deep-dive visualizations showcasing advanced analytical methodologies
Payment Method Launch Impact
Scenario: Analyzed the impact of launching a new payment option to determine incremental transaction growth vs. cannibalization across existing payment methods.
Key Finding: 99% cannibalization with minimal incrementality (-0.07%), revealing market share redistribution rather than genuine growth.
LLM-Assisted SQL Query Optimization
Scenario: Quantified development efficiency gains from integrating LLM tools (ChatGPT/Claude) into BigQuery SQL workflows for marketing attribution and analytics queries.
Key Finding: 68% average time savings across 12 query types, with complex multi-source joins showing highest benefit (78%), enabling attribution analysis cycles to compress from weeks to days.
Paid Search Campaign Analysis
Scenario: Comprehensive year-over-year Google Ads performance analysis revealing systematic conversion rate declines across all campaign types despite maintained impression shares.
Key Finding: 39-59% conversion rate drops across Brand, Non-Brand, LIA, and PLA campaigns, indicating critical ad positioning and post-click optimization issues requiring immediate intervention.
Site Friction Impact Assessment
Scenario: Comprehensive analysis of user experience friction points across the platform to quantify conversion barriers and prioritize optimization efforts.
Key Finding: $2.1M annual revenue loss from 6 critical friction points affecting 285K users, with product filtering representing the highest impact area.
Page Speed Performance Impact
Scenario: Comprehensive analysis of Core Web Vitals (TTFB, LCP) impact on conversion rates across device types to identify performance optimization opportunities.
Key Finding: $18.2M annual revenue opportunity from page speed optimization, with mobile PDP performance representing the highest priority at $7.3M impact.
Featured Analytics Projects
LLM-Accelerated Marketing Attribution System
Streamlined marketing attribution development by integrating LLM tools into data engineering workflows, enabling faster cross-channel identity stitching and attribution model iteration. Reduced comprehensive attribution analysis cycles from weeks to days while maintaining analytical rigor.
Technical Implementation & Business Impact:
Integrated ChatGPT and Claude with Python (LangChain, OpenAI API) to accelerate BigQuery query development for multi-source data integration. Built identity resolution logic stitching customer behavior across Adobe Analytics web sessions, Salesforce offline transactions, Google Ads interactions, and in-store purchases. Enabled rapid iteration on multi-touch attribution models through AI-assisted code generation with human validation protocols.
Enterprise Revenue Forecasting Engine
Architected comprehensive revenue forecasting system that accurately predicts annual revenue outcomes and enables real-time strategy adjustments. Built dynamic models processing massive ecommerce datasets to deliver precise KPI forecasts.
Forecasting Innovation & Business Impact:
Developed sophisticated Python, R, and SQL-based forecasting algorithms incorporating seasonality, promotional impacts, and market trends. Created automated adjustment mechanisms for period-by-period optimization. Integrated machine learning models for demand prediction across 200K+ SKU inventory.
Omnichannel Digital Marketing Attribution Platform
Led deployment of sophisticated digital marketing attribution system transforming media spend optimization across TV, DSP, and search channels. Eliminated agency bias and dramatically improved ROAS through internal attribution mechanisms powered by advanced data science and business intelligence frameworks.
Attribution Excellence & Data Science Performance:
Built custom multi-touch attribution models using location data and customer journey analytics with SQL data mining and Python analysis. Integrated Adobe Ad Cloud DSP with advanced geospatial targeting. Developed real-time campaign optimization dashboards enabling exponential audience reach expansion and strategic budget reallocation through business intelligence automation.
AI-Powered Customer Journey Intelligence
Developed sophisticated customer journey mapping system using advanced analytics tools and AI to identify pain points, optimize touchpoints, and predict customer behavior across digital channels.
Methodology & Innovation:
Leveraged ContentSquare, FullStory, and custom Python, R, and SQL models to analyze customer interactions. Built predictive models for customer lifetime value and churn prediction. Created automated alert systems for journey optimization opportunities.
Data Lake Mining & KPI Forecasting System
Built comprehensive KPI forecasting system that mines massive data lakes using AI and advanced statistical models to predict annual revenue outcomes and adjust strategies in real-time.
Technical Excellence:
Developed Python, R, and SQL-based data mining algorithms that process terabytes of transaction data. Created dynamic forecasting models that adjust based on seasonal trends, marketing campaigns, and external factors. Integrated with Google Cloud for scalable processing.
Professional Experience
Education & Certifications
Industry Impact: Led digital transformation initiatives resulting in multi-million dollar revenue growth and industry-leading performance benchmarks