Digital marketing leader with 11 years driving growth across paid media, SEO, and MarTech. I lead teams, optimize multi-million-dollar budgets, and fix the systems that break at scale.
Multi-million-dollar budgets across Google Ads, Meta, LinkedIn, Taboola, and OutBrain — optimized for revenue, not just clicks.
Technical SEO, product-led SEO, and AI search visibility across Google, Perplexity, ChatGPT, and Gemini.
My biggest passion, I've had the pleasure of implementing some great tech stacks.
End-to-end tracking, conversion integrity, and dashboards that connect spend to actual revenue outcomes.
Autonomous ad agents, AI-assisted content pipelines, and the workflow automation that lets teams focus on strategy instead of manual tasks.
Marketing ops, CRM architecture, lead qualification, and the processes that make growth repeatable at scale.
There was no official way to point an AI at a live ad account, so I built one, for Google, Meta and LinkedIn at once, wired into the real CRM and rules, and ran it in production. Here is what that unlocked
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This is an update to the previous article and the more simpler tagmanager monitor I built, and with some additional learnings, I added more robustness to it Google Tag Manager usually breaks quietly.
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A custom Zsh shortcut that removes the friction of activating environments and organizing project folders before starting JupyterLab. jlon opens the right folder, activates your environment, and gets
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