Instrument everything
If it isn't measured, it's a rumor. Every campaign, sequence, and send emits telemetry (reply rates, bounce curves, sender reputation) that feeds back into the system.
// core thesis Marketing is an engineering problem.
Most companies treat marketing like an art project: taste, luck, and vibes. I treat it like infrastructure. Audiences are datasets. Funnels are pipelines. Messaging is a function of input signals. And anything that runs twice should run itself.
If it isn't measured, it's a rumor. Every campaign, sequence, and send emits telemetry (reply rates, bounce curves, sender reputation) that feeds back into the system.
Humans should make judgment calls, not copy-paste. Targeting, enrichment, personalization, and follow-up are code paths: versioned, tested, and shipped.
A campaign that fails with data is worth more than one that wins without it. Ship, measure, refine, redeploy. Growth is an iteration loop, not a bet.
What I build at SimplyLinked: the technical stack behind an acquisition engine that turns targeted data into qualified conversations.
The orchestration layer. Audience definition to launched campaign as one continuous, observable pipeline: targeting, messaging, sending, and feedback in a single loop.
Clean, verified, campaign-ready audience data. Bad data burns sender reputation, so validation, dedup, and freshness checks run before a single message does.
Raw contacts in, context out. Firmographics, roles, intent signals, and local-market data layered on so every message can be shaped to the person receiving it.
Deliverability as infrastructure: authenticated domains, sender rotation, warm-up schedules, and controlled volume. Great messaging is worthless if it never lands.
The multiplier across everything above. AI-assisted personalization at scale, automated QA on lists and copy, and agents that handle the repeatable so operators only touch the exceptions.
Engineer's hands, business-school head. I sit in the gap where most growth breaks down, between the people who understand the market and the people who can build the machine.
Building the technical systems behind SimplyLinked's acquisition engine: automation, AI, and outbound infrastructure for B2B and B2C customer acquisition without the chaos.
Graduated magna cum laude. Trained to read a P&L; chose to write the software that moves it.
Comfortable across the whole surface: data pipelines and infra on one end, positioning and offer design on the other. The interesting problems live at the seam.
It probably is. Send a signal. I read everything.