I build lifecycle marketing programs for CPG and DTC brands. Not campaigns that run and disappear. Systems that retain customers, grow revenue, and get stronger the longer they run.
Full-stack marketing is about understanding how every layer of the system connects to the next one. Brand positioning shapes content strategy, which feeds into segmentation logic, which drives retention curves, which shows up in revenue attribution. I work across that entire chain. Not just one layer of it.
For CPG and DTC brands, that means marketing systems that are engineered first and creative second. Customer journeys built with actual compounding mechanics. Retention programs structured to generate revenue on a curve, not a spike. Campaigns designed to prove a repeatable playbook, not just perform once.
With over a decade of experience across beauty, wellness, fashion, and lifestyle (including senior roles at A.T. Cross, KISS Products, and GOAT USA), I've built and scaled the kind of programs that turn marketing from a cost center into a growth engine.
End-to-end program design across the full customer lifecycle, from acquisition welcome flows to win-back sequences. Every touchpoint is intentional, personalized, and revenue-tied.
Email and SMS programs built on segmentation that actually means something, behavioral triggers tied to real purchase signals, and personalization logic that holds up at volume. Every message calibrated to where that person is in their relationship with the brand, not just which list they landed on.
Full-funnel strategy for direct-to-consumer brands, from channel mix and acquisition economics to LTV optimization and retention architecture that compounds over time.
Most brands treat email and SMS as broadcast channels. The brands winning in DTC today treat them as relationship infrastructure: highly personalized, behavior-driven communication systems that make every message feel like it was written for one person, not sent to a million.
I build those systems. From the first welcome email through to the VIP loyalty sequence, every flow is engineered for relevance, timing, and revenue impact.
The question I get most often is some version of: how much of this can we just hand to AI? It's the wrong starting point.
I've spent real time deliberately introducing AI into marketing workflows that used to be entirely human, mapping out what actually improves and what breaks without human oversight. The tools that make the biggest difference are the ones that take something your team already does well and make them faster at it, or better at scale. Predictive segmentation. Testing velocity. Content variation at volume. Those are genuine gains.
Where it falls apart is when organizations treat AI as a headcount strategy. You lose the judgment that makes personalization actually work, the brand voice that makes content worth reading, and the creative risk-taking that separates a good campaign from a forgettable one. The brands winning in DTC right now understand that distinction. The ones struggling are usually the ones who skipped it.
"AI is not a headcount replacement strategy. It's a way to raise the ceiling on what the people you already have can produce."Jason A. Reis
Available for keynotes, panels, podcast interviews, and industry events. Reach out on LinkedIn to discuss.
Most brands are using AI to write email copy right now. A lot of that copy is fine. Some of it's actively hurting deliverability and brand perception and they don't know it yet. This talk covers how to build AI into your content workflow in a way that actually works: what to hand off, what to keep human, and how to tell the difference before it becomes a problem.
There's a version of personalization that makes a customer feel understood and a version that makes them feel tracked. The difference is usually one or two data points and how you surface them. This talk covers how to build behavioral personalization at scale that stays on the right side of that line, including the compliance basics most DTC brands are still treating as someone else's problem.
The brands I see outperforming their category in retention all have the same thing in common: they stopped thinking about email and SMS as broadcast channels and started building them like relationship infrastructure. This is a tactical breakdown of what that actually looks like: the flow architecture, the segmentation logic, and how to tie it all to revenue attribution that holds up to scrutiny.
I've spent real time mapping out which parts of a marketing workflow get better with AI and which ones break. Not in theory, but inside live programs across CPG and DTC brands with real budgets and real consequences. This talk walks through the framework I use: where AI creates genuine lift, where human oversight is non-negotiable, and how to have the internal conversation about AI adoption without it turning into a headcount debate.
I also speak on content strategy, e-commerce growth, owned channel architecture, and how CPG and DTC brands can build marketing programs that actually compound over time instead of starting from zero every quarter.
Reach out directly to discuss your event, podcast, or panel.
Discussing personalization, lifecycle strategy, content amplification, and the future of marketing across leading industry podcasts.
A deep-dive conversation on email personalization strategy, specifically how DTC brands can build more relevant, revenue-driving email programs through behavioral segmentation and data-informed content.
Listen to Episode →How to extend the lifespan and reach of your content through repurposing blog posts into video, audio, and email sequences. A practical framework for getting maximum value from every piece of content you create.
Listen to Episode →I talk lifecycle marketing, DTC growth, email and SMS strategy, and the human + AI future of marketing. I bring real frameworks, real numbers, and a point of view. Reach out on LinkedIn and let's make it a good one.
I share ideas on lifecycle marketing, DTC strategy, email and SMS, and the evolving role of AI in modern marketing. Join the conversation on LinkedIn.
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