At Steven Baez Consulting, I specialize in leveraging artificial intelligence, machine learning, and data science to transform consumer and B2B data into actionable insights that drive strategic marketing and business decisions. With expertise in consumer insights and marketing analytics, I help organizations better understand their audiences, optimize marketing campaigns, and align product strategies with evolving consumer behaviors.
By integrating machine learning, neural networks, interactive reporting, and advanced statistical modeling, I bridge the gap between raw data and strategic decision-making. Whether its refining a marketing strategy, enhancing brand influence, optimizing customer engagement, or uncovering emerging trends, I provide data-driven solutions that deliver real, measurable impact.
Why & How Consumers Act
These insights focus on understanding motivations, attitudes, and psychological drivers behind consumer decisions.
• Buying Patterns & Purchase Drivers – What triggers a purchase decision?
• Lifestyle & Values Analysis – How do beliefs and values shape consumer behavior?
• Emotional & Rational Decision-Making – What role does emotion play in brand preference?
• Brand Affinity & Loyalty Drivers – Why do consumers stick with or switch brands?
Who Are Your Consumers?
Segmentation helps businesses categorize consumers based on shared characteristics to create targeted strategies.
• Demographic Segmentation – Age, gender, income, education, etc.
• Behavioral Segmentation – Shopping habits, loyalty, engagement levels.
• Psychographic Segmentation – Personality, lifestyle, values.
• Geographic Segmentation – Regional and location-based behaviors.
• AI-Driven Micro-Segmentation – Hyper-personalized targeting using machine learning.
What Do Consumers Think?
This category focuses on measuring brand influence, reputation, and consumer attitudes.
• Voice of the Customer (VoC) Analysis – Customer feedback, reviews, and survey data.
• Sentiment Analysis (NLP) – Social media, online forums, and review site sentiment.
• Brand Equity & Awareness Studies – Consumer recognition and perception of a brand.
• Competitive Positioning Analysis – How a brand stacks up against competitors.
How Effective Are Your Campaigns?
This grouping helps businesses assess and optimize marketing efforts to maximize ROI.
• Campaign Effectiveness Analysis – Measuring reach, engagement, and conversion.
• Media & Channel Performance – Comparing digital, social, and traditional advertising impact.
• Attribution Modeling – Identifying which marketing touchpoints drive conversions.
• A/B Testing & Message Optimization – Refining messaging based on audience responses.
What Do Consumers Want?
These analyses guide product development and market demand forecasting.
• Demand Forecasting (AI-Driven) – Predicting future sales and inventory needs.
• Product Positioning & Pricing Analysis – Determining optimal pricing strategies.
• New Product Launch Insights – Identifying unmet consumer needs and market gaps.
• Consumer Preference Tracking – Understanding evolving trends in product interest.
How Do You Keep Customers Engaged?
Retention insights help businesses understand how to increase customer lifetime value (CLV).
• Churn Prediction & Prevention – Using AI to identify at-risk customers.
• Loyalty & Rewards Program Analysis – Evaluating incentives that drive repeat business.
• Customer Lifetime Value (CLV) Modeling – Understanding long-term consumer profitability.
• Personalization & Engagement Strategies – Tailoring experiences to boost retention.
How Do Consumers Engage Across Channels?
This grouping examines how consumers interact across multiple touch points before purchasing.
• Customer Journey Mapping – Tracking interactions across digital and physical channels.
• Omnichannel Behavior Analysis – How consumers switch between online and in-store shopping.
• Clickstream & Browsing Data Analysis – Understanding online navigation behavior.
• Cart Abandonment & Conversion Analysis – Identifying friction points in the buying process.
What’s Happening in the Market?
This category helps businesses stay ahead of market shifts and competitors.
• Market Trend Analysis – Identifying emerging consumer behaviors.
• Competitive Benchmarking – Evaluating competitor strategies and performance.
• Share of Voice (SOV) Analysis – Measuring brand visibility in the market.
• Economic & Cultural Influence Studies – Understanding external factors shaping consumer behavior.
· Project Based— where high-quality data solutions are delivered through focused, fixed-scope projects.
· Time & Materials— a flexible and efficient data consulting model, priced by the day.
· Retainer— designed to maximize a client's data potential through ongoing support and expertise.
· Outcome Based— an approach that focuses on achieving measurable results through a data-driven, performance-based approach.
· Hybrid Models— tailored data solutions combining the best aspects of project-based and ongoing support models.
· Advisory Support— helps organizations to frame, size, and introduce analytic solutions to complex business problems.
· Technical Support— develops data pipelines, interactive dashboards, and machine learning models.
· Project Management Support— extensive experience leading analytic strategy, data science, business intelligence, and self-service engagements.
· Managed Services Support— provides application support in Tableau Desktop and Server, Alteryx and Alteryx Gallery, Python, SQL, DataIku and DataBricks.