Marketing Automation & AI Solutions
Modern marketing ops that produce more with AI, without losing brand control.
Marketing teams are being asked to do more, faster, with the same headcount. AI pays off when it's deployed into live workflows rather than bolted on. I build the automation and AI stack that lets lean marketing teams ship at scale, with the senior judgment to know what to automate and what to leave alone.
Trusted by teams at
What you get
Lifecycle Automation
Onboarding, nurture, reactivation, and expansion flows that react to live behavior, not batch-and-blast.
Content Production
AI-assisted research, drafting, and publishing workflows with human quality gates built in.
Attribution & Reporting
Unified reporting across paid, organic, and sales-sourced revenue, with clean joins and defensible math.
Experimentation Systems
Backlog, hypothesis templates, and review rituals that make growth testing a continuous process.
Lifecycle marketing without me vs. with me.
A drip campaign from 2019 quietly emailing leads who already churned.
- One-size-fits-all newsletter that nobody really reads
- Lead scoring that nobody trusts and SDRs ignore
- Lifecycle stages defined in theory and broken in practice
- Reporting that can't tell you which campaign drove what pipeline
An always-on lifecycle system that grows revenue across the funnel.
- Behavior-aware journeys with AI-generated content per segment
- Lead scoring that genuinely separates ready buyers from noise
- Lifecycle stages tied to product usage, intent, and sales outcomes
- Attribution and reporting your CFO and CRO agree on
What we put in place together
- Marketing automation audit and rebuild
- AI content production workflow with evaluation
- Attribution model and reporting layer
- Experimentation program and backlog
- Team training on modern AI marketing stack
A marketing org that produces more, personalizes better, and measures what matters.
Book a Discovery CallQuestions buyers ask about Marketing Automation & AI Solutions
The objections I hear most often before a discovery call, answered up front.
HubSpot, Marketo, Customer.io, Klaviyo, and Iterable for lifecycle. For attribution and reporting, I typically build on the warehouse (Snowflake, BigQuery, or Postgres) with a BI layer on top.
I build defensible, multi-touch attribution that the business trusts, usually a blend of platform data, self-reported sourcing, and warehouse joins. Pragmatic over perfect.
Yes, with the right guardrails: brand voice docs, prompt libraries, structured review loops, and editor-in-the-loop on anything customer-facing. Volume goes up, quality holds, and the team stops being a bottleneck.
A live backlog, weekly hypothesis review, clear ownership per test, and a monthly readout on what shipped, what won, and what we learned. Small, frequent tests beat big quarterly bets.