I combine paid-media strategy, disciplined execution, analytics, experimentation and reporting to build growth systems that are measurable, explainable and scalable.
Headline outcomes that summarize the scale, efficiency and breadth of the work presented across this portfolio.
My role covers the full paid-media operating cycle—from understanding the business objective to improving campaign economics and presenting the next action clearly.
Translate commercial goals into channel plans, campaign objectives, audiences, budgets and measurable acquisition targets.
Build structured campaigns across Google Ads and Meta Ads with disciplined naming, tracking and account hygiene.
Use spend, conversion and lead-quality signals to control waste and scale the campaigns producing valuable outcomes.
Plan iterative tests across messages, formats, audiences and landing experiences rather than relying on one creative direction.
Connect platform activity to meaningful events through structured tracking, attribution and lead-management workflows.
Turn platform data into a clear narrative covering performance, efficiency, quality, pacing and recommended next steps.
The process is structured enough to remain consistent, but flexible enough to adapt to each industry, audience and business model.
Clarify the business model, target customer, offer, funnel and commercial constraints.
Audit tracking, account structure, historical performance and lead-quality signals.
Define channel mix, budget, audiences, keywords, creatives and expected economics.
Build campaigns, verify conversion actions, complete QA and validate early signals.
Refine targeting, bids, budgets, search terms and creatives using live performance.
Explain outcomes, document learnings and recommend the next growth actions.
Testing is treated as an operating system. Every experiment begins with a hypothesis and ends with a measurable campaign or funnel outcome.
Broad, interest, custom and lookalike audiences tested against cost and lead quality.
Benefit-led, urgency-led and problem-led messages compared across static and video.
Keyword themes, match types and negative controls refined using search-term data.
Headline, form length, CTA and message alignment evaluated against conversion rate.
Manual and automated approaches assessed against volume, stability and cost.
Spend reallocated between channels and campaigns using marginal performance.
Reporting is designed to answer business questions—not merely repeat platform metrics. The focus is on efficiency, quality, pacing and the next action.
Campaign strategy is adapted to the customer journey and economics of each business instead of applying the same playbook everywhere.
Generate consistent inquiry volume while protecting acquisition efficiency.
Improve relevance by connecting campaign optimization with sales feedback.
Increase measurable actions through stronger intent capture and funnel alignment.
Create awareness and consideration before high-intent conversion activity.
Re-engage valuable visitors and prospects using behavioral audience signals.
Expand budgets where incremental spend continues to produce acceptable returns.
The stack connects media buying, measurement, attribution, reporting and lead management into one practical workflow.
A progression from hands-on platform execution to cross-channel ownership, lead-quality improvement, experimentation and strategic reporting.
Built hands-on capability in account setup, targeting, keywords, creative deployment, conversion tracking and routine performance monitoring.
Took ownership of campaign structures, pacing, optimization and reporting across multiple projects and advertising accounts.
Connected Google Ads and Meta Ads into one acquisition view, balancing intent capture, audience creation and retargeting.
Extended analysis beyond platform leads by using CRM and sales feedback to improve qualification, targeting and campaign economics.
Manage the complete operating loop—from planning and execution to testing, analytics, stakeholder communication and scale recommendations.