Backerlor's Degree in English Language Studies | AI + Digital Marketing | SMM + SEO + GEO
My work centers with first-party data, behavioral signals, and conversion economics to identify leverage points across the customer journey.
ANALYTICS-FIRST OPERATING MODEL
I evaluate marketing performance using a structured metrics hierarchy:
- North-star metrics (qualified actions, revenue-adjacent events)
- Leading indicators (CTR by intent cohort, scroll depth, dwell time, assisted conversions)
- Efficiency ratios (CPA, cost per qualified session, content-to-conversion yield)
- Funnel diagnostics (step-level drop-off, time-to-decision compression)
- Lifecycle indicators (repeat interaction rate,
Typical optimization targets range from 15?35% efficiency lift at the funnel or content-layer level through structural changes rather than campaign volume.
SYSTEMS AND FRAMEWORKS I WORK WITH
- Full-funnel architecture (TOFU / MOFU / BOFU mapped to intent, not channels)
- Conversion-rate optimization informed by behavioral heuristics and friction analysis
- SEO ecosystems built on search intent clustering, internal link equity, and topical authority
- Content systems measured by marginal lift, not output volume
- Attribution logic (first-touch, last-touch, and blended directional modeling)
- A/B testing frameworks focused on statistically meaningful deltas, not surface metrics
I prioritize compounding systems over one-off wins.
WHAT CLIENTS ACTUALLY GET
- Marketing decisions supported by data, not guesswork
- Clear performance baselines and improvement targets
- Reduced wasted effort across content and campaigns
- Systems that remain stable as volume and complexity increase
I am not focused on producing more marketing.
I am focused on improving decision quality, execution efficiency, and measurable outcomes across the marketing system.
If you value analytics literacy, structured thinking, and marketing that behaves like an operating discipline, I am open to opportunities where performance and clarity matter.
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: Less than 6 months
Experience: 2 - 5 years
Experience: 2 - 5 years
Experience: Less than 6 months
Experience: 2 - 5 years
“For years, I maxed out my hours, got burnt out, and the quality of my work would start to go down. I decided to take the leap, hire correctly, and now it frees up my time to focus on growing the business.”
Tyler Gies
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