Turning marketing chaos into measurable growth through performance marketing, analytics, CRM automation, and AI-assisted MarTech workflows - currently Deputy Manager, Marketing at SolidPro Engineering Support.
From data infrastructure to paid campaigns - I cover the entire marketing stack so nothing falls through the cracks.
GA4, GTM, PostHog, BigQuery. Clean data infrastructure that powers every decision.
Google Ads, Meta, LinkedIn. Campaigns built to lower CPL and scale ROAS.
Schema markup, AEO, Core Web Vitals. Organic growth that compounds over time.
CRM workflows, email sequences, WhatsApp automation. Leads nurtured while you sleep.
WordPress, Magento, Jekyll. Landing pages and CMS setups that convert.
Full-stack marketing strategy, stack audits, KPI frameworks.
Numbers don't lie. Here's what a data-driven approach looks like in practice.
GA4 + GTM + CRM automation
Technical SEO + Shopping Ads
GA4 + A/B Testing
No guesswork, no vanity metrics. A clear three-step system from day one.
Deep dive into the existing stack, channels, and data. Identify what's working, what's wasted, and where the biggest opportunity lies.
Set up tracking, launch campaigns, configure automation, and execute the strategy with precision - on time and on budget.
Monitor KPIs, iterate on what works, kill what doesn't. Double down on winning channels and compound the results over time.
Practical takes on analytics, SEO, paid media, and marketing strategy.
Unlock efficiency and consistency. Learn how to write clear, comprehensive Standard Operating Procedures (SOPs) with this ultimate guide, covering planning, drafting, and maintenance.
Universal Analytics is gone. Here is my practical GA4 migration guide with clean tracking, AI-ready reporting, and conversion integrity.
AEO for AI search: how to structure content, entities, and schema so LLMs surface your brand in answers and summaries.
When automation helps and when manual control wins in Google Ads, plus the AI-era checklist for clean signals.
How to design a clean data layer for GA4, ads, and AI analytics. Naming, parameters, QA, and governance.
How to choose attribution models for AI-era funnels, with a practical decision framework.
Schema markup that actually improves AI visibility and rich results: entity types, JSON-LD structure, and QA steps.
Email automation sequences that convert in the AI era: triggers, timing, and intent-based personalization.
A CRO system built for AI-era analytics: diagnostics, prioritization, hypotheses, and clean experiments.
Meta Ads in 2026: first-party data, CAPI, creative testing, and AI-friendly measurement that holds up.
A modern technical SEO checklist for performance, crawlability, and AI readiness.
A modern B2B lead gen system that combines content authority, AI-informed targeting, and automation.
Interested in discussing a role, project, or collaboration in digital marketing and marketing technology? I'd love to hear from you.