Know your customer confidently
Understanding your customers is not a project. It's a discipline.
The hard part runs both directions — knowing whether the market moved your numbers or you did, and where they're headed next. Each sharpens the other, and gives you the confidence to act.
When sales move, the instinct is to explain it — and the explanation is often incomplete. Sales up because inflation lifted the whole category is a completely different story from sales up because your pricing finally landed, and the two call for opposite responses. Get it wrong and you double down on something the market did for you, or kill something that was working. Telling what the market did from what you did is the difference between learning from your business and fooling yourself.
Forecasting isn't a perfect number. It's seeing far enough ahead to adjust while a problem is still small, instead of after it's compounded into something your board can see. Thin margins leave no room to absorb surprises, so the value is in the early read, not the precise one.
None of this comes from the occasional project. It takes a system that runs every period — ML models, market research, brand tracking, and the governance to keep them honest — where every read is tested against what actually happened, errors get examined, and the models get sharper. It's a muscle that grows the longer you use it, and over time it's what protects the trust of the people counting on your calls: your board, your colleagues, your team. This is the practice I build with the grocers I work with.
Understand what drives performance
ML Analytics
Go beyond describing data to understanding how variables connect over time. Advertising effectiveness, eCommerce impact, competitive entry, NPS linkage to financial KPIs — using advanced time series models to isolate the signals that matter and filter out the noise.
How the work is different: Most analytics work tells you what happened. The work tells you what caused it — and by how much.
Connect what customers say to what they do
Market Research
Combine quantitative surveys, qualitative interviews, and new AI techniques to understand consumer behavior, price and value perceptions, segmentation, and the gaps between leadership assumptions and frontline reality.
How the work is different: Survey results, both traditional and AI-generated, without a connection to performance data are hard to act on and hard to bring to the C-suite. The work connects soft data directly to hard KPIs — so the insights land where decisions get made.
Know where customer sentiment is headed before it hits the financials
Brand Tracker
Track brand strength, price perception, competitive positioning, and early shifts in customer sentiment over time — and connect every metric explicitly to financial performance.
How the work is different: Brand equity without a financial link is just a feeling. The work makes it measurable — connecting the emotional and functional dimensions of your brand directly to the KPIs that matter.
An app to define the benchmark, scenario plan, and evaluate ongoing performance
Grocery Market Navigator Connection
The app can be a stand alone service to define the initial baseline and help plan the business. It can then be paired with any other services to make the insights more applicable and richer. Research and analytics tell you what has happened and why. Market Navigator establishes a solid baseline which can then be configured to show where the business is headed and quantify the financial impacts.
How the work is different: A proprietary app that is at the heart of a systematic approach to understanding the business and customer behavior — guiding strategy, planning, and governance.