I run large scale paid media programs across Google Ads, Microsoft Ads, Meta and TikTok, built on value based bidding and LTV optimization rather than guesswork.
I’m a Performance Marketing Strategist with over 10 years of experience helping global brands, technology companies, fintech organizations, healthcare providers, and small businesses accelerate growth through data driven marketing.
Throughout my career I’ve managed multi million dollar advertising budgets across Google Ads, Microsoft Ads, Meta, LinkedIn, TikTok, YouTube, Display, and Programmatic platforms. I specialize in building paid media strategies that generate measurable business outcomes by combining performance marketing, analytics, conversion optimization, and AI powered automation.
My approach goes beyond launching campaigns. I focus on understanding each business’s goals, uncovering growth opportunities through data, and continuously testing, optimizing, and scaling what works. Every decision is backed by performance metrics, ensuring marketing investments translate into sustainable revenue growth.
Today I also leverage AI to streamline workflows, automate repetitive marketing tasks, accelerate reporting, generate creative insights, and improve campaign performance. By combining proven marketing fundamentals with modern AI tools, I help businesses operate more efficiently while staying ahead in an increasingly competitive digital landscape.
No paywalls, no filler. Just the disciplines a budget actually needs to perform.
Bidding tied to actual customer value rather than clicks or last touch conversions.
Budget and bid decisions informed by lifetime value, not first purchase economics.
Structured experimentation on creative, bidding and landing pages, read for significance.
Full funnel search management at enterprise budget scale.
Paid social integrated into a single cross channel performance strategy.
Dashboards built so stakeholders see the same numbers I am acting on.
Open to consulting conversations, hard problems in paid search, and the occasional debate about attribution.