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Agency · In-house · Technology

Growth through search and AI.
Judgment built from three perspectives.

I connect growth questions with analytical methods and practical delivery. I’ve helped brands understand demand, owned regional SEO and designed reusable ways to help enterprise customers act.

Agency

Understand the market and the audience.

In-house

Choose the opportunity and own the growth decision.

Technology

Make capability useful and expertise repeatable.

Selected evidence

The problem. My decision.
Something you can inspect.

Original agency exhibit, 2014. Framework credit: SapientNitro.
SapientNitro Content Topography exhibit

Original agency exhibit, 2014. Framework credit: SapientNitro.

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Agency / SapientNitro

Make customer demand visible

Enterprise content priorities needed a clearer view of audiences and demand. I applied and scaled the agency’s Content Topography framework to connect the two.

Inspect the agency work →
Semrush US estimates, 2016–2019. Tenure shading is career context, not individual attribution.
Skyscanner overall US organic traffic with tenure shading

Semrush US estimates, 2016–2019. Tenure shading is career context, not individual attribution.

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In-house / Skyscanner

Choose a growth opportunity the team can ship

Seasonal demand needed useful destinations. I initiated the regional Black Friday and Cyber Monday program alongside my broader Americas SEO remit.

Explore the remit and evidence →

A concrete recommendation

812 → 100

From a page export to a review shortlist.

Page 01: priority-term signal, retained source values and a reason to investigate.

Archived output, November 2025 · identities anonymized

Technology / Quattr

Make analytical expertise repeatable

Recurring customer questions needed a consistent method. I designed analytical skills and built an internal Growth Intelligence System around account context and usable outputs.

See the system and my contribution →

A connected practice

From the business question
to the work behind the answer.

Across agency, in-house and technology roles, I’ve learned to recognize the problem, make a considered decision, build something useful and turn the learning into a method a team can improve.

That is how I approach AI search too: define the population and the measure, question what the evidence supports, and connect the findings to a decision.

More about my approach →

Playbooks

The methods behind the work.

Practical guidance drawn from seasonal acquisition and analytical delivery.

Start a conversation

Bring growth, customers and technical judgment together.

I’m interested in roles where strategy and implementation belong in the same conversation.