Marcin Zych oferuje specjalistyczne uslugi MarTech dla branzy Performance Marketing. ROAS drops with every budget increase? Platforms show inflated metrics. You're optimizing on the wrong signals. Rozwiazuje 4 kluczowych problemow branzowych. Oferuje 3 sprawdzonych rozwiazan. Gotowe systemy: Performance Control Room, LTV / CAC Engine, ProductFeedManager. Stack technologiczny: Meta Ads, Google Ads, Social Media, Google Analytics / GA4, TikTok Ads.
Why can't you scale your campaigns?
ROAS drops with every budget increase? Platforms show inflated metrics. You're optimizing on the wrong signals.
How I can help you
Choose one area or a full system. No "enterprise" and no six-month wait.
Problems I solve
Typical Performance Marketing challenges I help with.
Each platform sees only itself
Google: ROAS 4.2x. Meta: ROAS 3.8x. Real after deduplication: 2.1x. You optimize on inflated metrics.
Scaling the wrong signals
Campaign A: ROAS 5x in Google Ads. Real: 1.8x (overlap with Meta). 45% of budget on an unprofitable campaign.
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You lose 30-40% conversion visibility. Platform algorithms learn from incomplete data.
8h a week on reports
Export from Google, export from Meta, manual merge in Excel. Time that could go to optimization.
Transformation
What changes after implementing MarTech solutions.
- Each platform reports separately
- ROAS inflated by 40-60%
- 8h/week on reports
- Optimizing for CPA
- Unified attribution in BigQuery
- True ROAS after deduplication
- 15 min/day on reports
- Optimizing for LTV
Solutions
Proven approaches I apply in projects.
Unified Attribution
All platforms in BigQuery. Conversion deduplication. True ROAS per campaign.
Server-Side Tracking
99% match rate with first-party data. End of conversion loss from ad blockers and ITP.
Automated Reporting
Power BI with real-time data. From 8h/week to 15 min/day on reporting.
Ready systems for Performance Marketing
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.
Tracking Audit
Analysis of current setup: GTM, GA4, pixels
Server-Side Setup
GTM Server + CAPI implementation
Data Pipeline
BigQuery + unified schema for all platforms
Attribution Model
Deduplication + custom attribution
Dashboards + Alerts
Power BI with anomaly detection
Managing a performance budget?
Let's talk about unified attribution