Marcin Zych oferuje specjalistyczne uslugi MarTech dla branzy E-commerce. How? By eliminating conversion double-counting. From 70% to 99% data quality, -40% budget misallocation. Results? LTV:CAC 5:1 in 24 months. Rozwiazuje 4 kluczowych problemow branzowych. Oferuje 3 sprawdzonych rozwiazan. Gotowe systemy: LTV / CAC Engine, ProductFeedManager, Performance Control Room, Promo Profitability, ROPO / Omnichannel. Stack technologiczny: Meta Ads, Google Ads, Social Media, Google Analytics / GA4, TikTok Ads.
Need performance marketing that delivers?
How? By eliminating conversion double-counting. From 70% to 99% data quality, -40% budget misallocation. Results? LTV:CAC 5:1 in 24 months.
Need performance marketing that delivers?
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Dziękuję!
Odpowiem w ciągu 24h. A może umówmy się od razu?
How I can help you
Choose one area or a full system. No "enterprise" and no six-month wait.
Problems I solve
Typical E-commerce challenges I help with.
Conversion double attribution
Google: +100%, Meta: +100%, Email: +100% = 300%. One order, triple attribution. Typical industry scenario.
Low data quality
70% — typical data quality without Server-Side Tracking. Blockers, ITP, cookie restrictions eat the rest.
Budget misallocation
Up to 40% of budget may go to the wrong channels. You're optimizing on bad data.
No LTV visibility
You optimize for CPA instead of customer value. The cheapest customer may be the most expensive. Learn more about LTV.
Transformation
What changes after implementing MarTech solutions.
- 70% data quality
- Last-click attribution
- Manual reports (8h/week)
- Optimizing for CPA
- 99% data quality
- Cross-platform attribution
- Automated dashboards (15 min/day)
- Optimizing for LTV
Solutions
Proven approaches I apply in projects.
Server-Side Tracking
From 70% to 99% data quality. Blocker-resistant, GDPR-compliant. Implemented in fashion retail projects.
Cross-platform Attribution
Conversion deduplication across Google, Meta, Email. 40% reduction in budget misallocation.
LTV / CAC Engine
Customer value modeling for 1M+ records. Optimize for profit, not clicks.
Ready systems for E-commerce
Proven solutions ready to deploy. Click a system to see the demo.
"People like this make up maybe 10% of any team. You don't need to tell him what to do. He sees the problem, analyzes it, proposes a solution and implements it."— E-commerce Director, Fashion Retail
Collaboration process
Short. Concrete. No month of workshops about nothing.
Audit
Analysis of current data state and attribution
Diagnosis
Gap identification and recommendations
Implementation
Server-Side Tracking and attribution setup
Integration
Connection with BigQuery and Power BI
Optimization
Continuous improvement based on data
Have a project?
Let's talk about your e-commerce