Senior-led · E-commerce Performance Intelligence

Structure turns
data into
decisions.

I build the data infrastructure and run the Amazon Ads on top of it — one senior operator, end to end, for marketplace brands scaling across Europe.

DIRECTORY
ATA
Directory
Structure that gives your data meaning.
Data
Signal from every campaign, every market.
The third D
Decision.
Data without Directory is noise. With both, every number points somewhere.
Amazon Sponsored ProductsListing OptimizationBigQuery AnalyticsA+ ContentCompetitor IntelligenceDE · FR · PL · IT · ESSP-API IntegrationAmazon Sponsored ProductsListing OptimizationBigQuery AnalyticsA+ ContentCompetitor IntelligenceDE · FR · PL · IT · ESSP-API Integration
Philosophy

Most brands have data.
Few have structure.

4.8×
Avg. ROAS · across accounts
−58%
ACOS reduction
30d
To first results
The Directory principle

A campaign without structure is a folder with no names. I build the architecture first — campaign hierarchy, keyword segmentation, budget logic — so your data flows where it should.

Data that answers questions

I connect Amazon Ads to your analytics infrastructure — BigQuery, Looker, custom dashboards. Every impression, click, and conversion lands somewhere meaningful. Then I act on it.

Decisions, not reports

Every week there's a concrete next move — a bid to cut, a keyword to harvest, a listing to rewrite. That's what decisions look like.

What I do

Three disciplines.
One outcome.

I work across campaign management, content, and data — because separating them is where most agencies lose the thread.

01
Data Infrastructure
& Reporting
Your Amazon Ads data piped into a governed BigQuery model. Custom dashboards. Attribution you can act on. Know exactly which campaign, keyword, and market is earning — and which isn't.
BigQuerySP-APILooker Studio
02
Campaign Architecture
& Management
Precision SP, SB, and SD campaign builds structured for scale. Auto, exact, broad, and competitor targeting layers — allocated correctly from day one, optimized weekly.
Sponsored ProductsBid OptimizationACOS Management
03
Listing & Content
Optimization
Titles, bullets, and A+ content built for search relevance and conversion. Native-quality multilingual copy for DE, FR, IT, ES — not machine translation, not templates.
Keyword SEOA+ ContentMultilingual
Case study

When structure meets data,
the numbers follow.

Beauty / Skincare Devices — DE & FR

Scaling an ultrasonic facial device across two competitive European markets

A European beauty device brand needed to build Amazon presence from scratch across Germany and France simultaneously — profitable ROAS from month one.

I rebuilt campaign architecture from the ground up, rewrote all listing copy for both markets in native-quality French and German, and built a keyword-level tracking pipeline into BigQuery.

4.2×
ROAS · this engagement
−58%
ACOS reduction
2
Markets activated
30d
Time to first profit
Who you actually work with

One operator.
Twenty-five years.

I'm Tomasz Kurzątkowski. For 25 years I've been turning data into decisions and ads into sales — across e-commerce, pharma, telco, and the public sector.

Today I run Directory: Amazon Ads on top of a governed BigQuery data infrastructure — pipelines, attribution, and automated monitoring that keep the numbers honest across 10+ European markets.

When you hire Directory, you get me. Not a junior, not an account layer. The person who builds the system is the person who runs it.

NEUCA · Pharma
Built Apteline into Poland's #3 online pharmacy

20% of revenue, and the GDPR-compliant Master Patient File behind it.

ILC / NEUCA Group · Managing Director
Rebuilt the data model and BI for an entire pharmacy network

Data ownership, quality KPIs, and the reporting layer the network runs on.

QED Software · AI/ML
Ran go-to-market for AI/ML into the US

Enterprise advisory on responsible AI and data governance.

Orange Polska · Partnerships
Microsoft and Huawei partnerships across cloud and analytics

Cross-functional transformation programmes at telco scale.

How it works

Four moves.
Repeatable.

A system refined across dozens of product launches and market expansions. The same logic applies whether it's month one or year three.

Step 01

Audit & Mapping

Full account audit, competitor landscape, keyword opportunity analysis. I understand the market before touching a single campaign.

Step 02

Architecture Build

Campaign structure designed for scale — auto, manual, competitor, and defense layers — with proper budget logic from day one.

Step 03

Optimize & Scale

Weekly bid adjustments, search term harvesting, budget reallocation toward winners. Compound improvement, every cycle.

Step 04

Report & Decide

Live dashboards, monthly strategy calls, clear attribution. Every session ends with a concrete next move — not a slide deck.

Tooling
Amazon SP-API· Google BigQuery· Looker Studio· Baselinker· Python / dbt· Helium 10
Get in touch

Let's build something
that performs.

First audit is complimentary.