Marketing Operations Specialist with 5+ years managing email and SMS for high-volume operations. I currently build lifecycle automation and QA systems at WagerBird while using AI as my control layer across GA4, WordPress, Make.com, and ESP workflows. I build the infrastructure that turns manual marketing into scalable systems.
$300K+
Monthly Revenue Managed
3M+
Subscribers
30%
Revenue Decline Reversed
90%
QA Error Reduction
Proof of Impact
Real operations I've built and managed, with measurable business outcomes.
Managed 3M+ subscribers across 5 properties with 3.6M monthly sends. Built a fatigue detection system using AI-assisted SQL queries that identified offer decay before it impacted revenue. Automated rotation via Zapier workflows connected to Looker analytics.
30%
Decline Reversed
12%
Q/Q RPE Increase
18%
Unsub Rate Drop
Fatigue Detection Query
SELECT
offer_name,
revenue / sends AS rpe,
(current_ctr - peak_ctr)
/ peak_ctr AS fatigue_score
FROM campaigns
WHERE send_date > NOW() - 90
ORDER BY fatigue_score ASC;
Caught CVS fatigue at -56% CTR. Rotated offer. Recovered revenue.
Built the entire email and SMS stack from zero. Implemented a conditional Router in Make.com that segments customers by purchase history (Whale, VIP, Repeat, New) and triggers the correct drip automatically. Built a "Verify-Then-Send" QA system using Playwright and Claude Code.
90% → 30%
Revenue Drop Recovered
$41.7K
Dormant VIP Revenue
100%
Link Accuracy (QA)
Router Logic
No manual tagging. No overlapping sequences. Self-healing segmentation.
How I Work
I operate my entire marketing stack through AI — connecting tools via MCP, debugging emails with Claude Code and Codex, generating creative with Gemini AI Studio, and reporting through Grafana dashboards wired via API.
Instead of weekly CSV exports, MCP connectors pull live data from Google Analytics and Search Console directly into my workflow. AI tags and categorizes automatically. Dashboards update in real time — marketers see what's moving without digging through spreadsheets.
I control my marketing stack through AI terminal — connecting GA4, WordPress, Make.com, and ESPs via MCP. Debug emails with Claude Code and Codex. No engineers needed, no context-switching between platforms.
"Verify-Then-Send" system using Playwright and Claude Code. Plus DNS-level deliverability management — SPF, DKIM, DMARC configuration for inbox placement.
I use Claude AI to analyze campaign fatigue, identify churn patterns, and interpret performance data at scale. AI-assisted forensics that surface insights spreadsheets miss.
Real-time marketing dashboards built on Grafana, connected to data sources via API. Campaign performance, revenue tracking, and engagement metrics — all wired through the AI terminal without manual data pulls.
Complex conditional routing in Make.com. When Stripe fires a purchase event, the system looks up history, checks buyer type, and routes to the correct drip. Zero manual intervention.
Built and tested responsive email templates for WagerBird. Verified rendering across mobile clients and email platforms. Combined HTML/CSS email coding with automated QA to ensure every send looks correct.
Tools I Use
Marketing Operations Specialist with 5+ years managing high-volume email and SMS. I’m currently at WagerBird building revenue-critical automation, and I’ve built revenue engines from scratch, recovered from catastrophic drops, and implemented AI-assisted workflows that eliminate manual work across teams.
I use AI as my operating layer — connecting GA4, WordPress, Make.com, and ESPs through MCP and terminal workflows. I debug emails with Claude Code and Codex, generate creative with Gemini AI Studio, and build reporting dashboards via API. If something can be automated, I automate it.