Core expertise
Strategy that connects story, market, and execution.
My work is built around a simple idea: brands get stronger when the creative direction and the commercial reality are connected. I help teams clarify what a brand stands for, how the story should travel, where the market opportunity sits, and what tools or systems are needed to execute well.
Premium beverage and luxury spirits strategy
I have deep experience across Scotch whisky, tequila, mezcal, wine, and premium beverage brands.
This includes brand storytelling, trade education, rare product strategy, portfolio positioning, distributor engagement, account development, tastings, dinners, retail programming, on-premise activation, and high-value consumer engagement.
Brand storytelling and synesthetic marketing
I help translate taste, aroma, texture, mood, place, and emotion into brand language, visuals, experiences, education, and commercial messaging.
This is especially valuable in sensory categories like spirits, wine, coffee, hospitality, lifestyle, and luxury goods, where people need to feel the difference before they can explain it.
Commercial execution and distributor leadership
I understand how strategy moves through real markets: sales teams, distributors, importers, retailers, restaurants, bars, e-commerce, market managers, and account relationships.
That includes forecasting, pricing context, account planning, QBRs, programming, budgeting, sell-through logic, and the daily pressure of turning a plan into growth.
Experiential and trade marketing
I build concepts that help brands show up with purpose: dinners, tastings, trade education, cultural partnerships, consumer events, account programs, launch moments, and relationship-driven experiences.
The goal is not just a good event. The goal is a memorable brand experience that creates useful commercial momentum.
AI-assisted sales and marketing systems
I use AI to help organize complexity: research, planning, workflows, briefs, sales tools, reporting, scenario thinking, and prototype development.
The best AI work does not replace judgment. It gives experienced people better ways to think, communicate, and act.
AI discovery
AI discovery and authority building
I help brands think beyond one campaign, one channel, or one polished piece of messaging. Modern discovery happens across an ecosystem: websites, search, social content, creator references, trade conversations, reviews, sales tools, events, and AI-generated answers.
From search to recommendation
In the search era, brands competed to be found. In the social era, brands competed for attention. In the AI era, brands also compete to be understood, trusted, and recommended.
People still search, scroll, compare, and ask friends. But they increasingly ask AI systems to summarize options, explain differences, and recommend what to consider next. That means brands need more than visibility. They need enough clarity, credibility, and proof across the internet to become part of the answer.
What makes a brand easier for AI to understand
AI systems do not only read what a brand says about itself. They also learn from the broader information environment around the brand: articles, interviews, reviews, social content, videos, customer questions, creator explanations, product comparisons, trade conversations, and recurring language across trusted sources.
The more clearly and consistently a brand is explained across that ecosystem, the easier it becomes to understand and recommend.
Social content as brand infrastructure
Social content is often treated as an awareness layer. I think it should also be treated as brand infrastructure. Every useful post, explanation, event recap, trade insight, product comparison, customer question, and creator mention can become part of the information pool around a brand.
The goal is not to post endlessly. The goal is to create useful signals that teach the market how to understand the brand.
Content that explains
The strongest content does not just announce. It explains, evaluates, compares, teaches, and proves.
That kind of content helps consumers make sense of the brand. It helps trade partners recommend it. It helps sales teams carry the story. It helps AI systems interpret what the brand is, where it fits, and why it matters.
The goal is to build an authority footprint that makes the brand easier to understand, explain, recommend, and remember. That means creating useful content, clear narratives, practical tools, and repeatable proof points that compound over time.
Content systems
Content systems for the recommendation era
I help brands turn strategy into a repeatable content system: articles, sales tools, LinkedIn posts, education pieces, trade narratives, event recaps, short-form video ideas, and proof points that keep the brand visible and useful over time. The best content systems are not just calendars. They are market education systems. They help customers, trade partners, sales teams, creators, and AI systems understand what the brand means and why it matters.
Operating logic
The Brand-to-Market System
The work connects six stages: positioning, narrative, channel strategy, sales tools, field execution, and performance feedback. Each stage answers a different question.
01 · Positioning
Positioning gives the brand focus: where to play, who to reach, and why it should matter.
02 · Narrative
Narrative makes the idea memorable for consumers, trade partners, and sales teams alike.
03 · Channel strategy
Channel strategy decides where the work appears and which priorities deserve the investment.
04 · Sales tools
Sales tools give distributors, account teams, and partners a story they can actually use.
05 · Field execution
Field execution turns planning into programs, activations, and account-level follow-through.
06 · Performance feedback
Performance feedback makes the next decision sharper and keeps the system compounding.
Where to next?