Performance Marketer · AI Operator · Growth Driver · Revenue Ops
I don't just run ads. I build growth engines.
Most paid media practitioners optimize for clicks. I optimize for revenue. Combining performance marketing, AI-assisted workflows, and an operator's lens on unit economics, I help brands build compounding growth systems that scale.
I build the paid media systems, data infrastructure, and AI workflows that turn marketing budgets into measurable pipeline and revenue.
I design and execute full-funnel paid media programs across search, social, and programmatic — built around where your buyers actually are in the funnel. Every channel decision is tied to a business outcome, not a vanity metric.
I build demand gen programs that fill pipeline with qualified accounts, not just form fills. From LinkedIn ABM plays to programmatic intent targeting, I focus on pipeline velocity and sales-ready leads, not volume.
I model the economics behind the spend before a dollar goes out. LTV/CAC ratios, contribution margin, payback period, and cohort analysis — I operate with the same financial discipline as a growth operator, not just a media buyer.
I build the systems that make campaigns self-aware. Custom Google Ads scripts, Python-based pacing trackers, real-time CPA monitoring, and Slack alerting — so optimization happens continuously, not just when someone checks a dashboard.
I design the audience architecture that makes spend efficient. Using intent data, first-party segmentation, and enrichment platforms, I ensure campaigns reach the right accounts at the right moment in the buying cycle.
I architect the AI layer that makes the whole system compound. Multi-agent workflows, subagent swarms, and automated reporting pipelines replace manual bottlenecks with always-on intelligence — so strategy always runs on live signal.
mydigitalDNA.io is the agency arm of Digital DNA. For brands that need more than a fractional operator — a complete growth team from strategy to execution.
Real campaigns. Real numbers. No vanity metrics.
Precision bidding and ABM targeting for global enterprise fintech. CPL slashed from $900 to $350, lead volume up 36% MoM.
Audience segmentation overhaul and predictive bidding drove 80%+ sign-up growth, tripled traffic, and cut CPA by 35%.
Built a full demand engine from zero: ICP, channels, attribution, and bidding. 95% SQL rate, <$100 cost per SQL, +70% pipeline in 2 months.
$1.5M+ quarterly budget across Cloud, AI, and Cybersecurity verticals. CPL from $300 to $90, MQLs up 60%, and +80% leads on 40% less budget.
Brands I've worked with
Every tool here has been used in production, not just checked off a list.
Where the spend goes and why. I run full-funnel paid campaigns across search, social, and programmatic — selecting channels based on audience behavior and funnel stage, not habit.
Getting in front of real buyers, not just high-volume traffic. I use intent data, ABM platforms, and enrichment tools to build precise account and contact lists before a dollar is spent.
Closing the loop between marketing signals and sales pipeline. I connect campaign activity to CRM data to track lead quality, pipeline contribution, and revenue attribution — not just volume.
Attribution, visualization, and the numbers that actually matter. I build reporting infrastructure that surfaces contribution margin, payback period, and pipeline velocity — not just ROAS.
The layer that makes everything compound faster. I build AI-powered agents, subagents, and automation workflows that eliminate manual bottlenecks — from dynamic Google Ads optimization scripts to multi-agent swarms for research, reporting, and campaign intelligence. This is where operator-level leverage gets built.
I don't use AI to do things faster. I use it to build systems that compound — fewer manual bottlenecks, sharper signals, and decisions that are always based on live data.
Replaced 100+ fragmented manual reports with AI-powered Looker Studio dashboards connected via live Supermetrics pipelines. Stakeholders get always-on data instead of waiting for end-of-week pulls — decisions happen faster, and nothing slips through the cracks.
Built Google Ads scripts that monitor CPA thresholds in real time and automatically pause underperforming ad groups. The system protects margin continuously — not just when someone remembers to check.
Developed structured prompt frameworks for generating on-brand ad copy variants at scale across RSAs, LinkedIn, and Meta. More test coverage, faster iteration cycles, and messaging that stays sharp — without adding agency hours.
Built a Python-based pacing tracker that compares daily spend against monthly targets and fires Slack alerts when accounts drift off-pace. Clients never see a budget problem — because it gets fixed before it becomes one.
Architected multi-agent workflows using Claude, Gemini, and custom subagent swarms that surface anomalies, flag budget waste, and queue optimization recommendations automatically. The result is a system that thinks ahead so strategy always operates from current ground truth.