Alexander Kropivnitski

Marketing Technology

I design and implement marketing technology ecosystems that connect data, automate workflows, and enable smarter decision-making.

From tag management to data warehousing, I build the infrastructure that powers modern marketing teams.

Marketing Technology

MarTech Services

Building the technology foundation for data-driven marketing — from tracking to activation.

Tag Management & Tracking

GTM web & server-side containers, consent management, and event tracking architectures that capture the right data while respecting privacy regulations.

Data Architecture

Marketing data warehouses, ETL pipelines, and unified data models that connect cross-channel performance data.

Dashboards & Reporting

Custom real-time dashboards in Tableau, Looker, and Power BI that give stakeholders actionable insights.

Marketing Automation

HubSpot, Salesforce, and custom workflow design — lead scoring, nurture sequences, and lifecycle automation.

Platform Integration

API integrations, webhook architectures, and middleware connecting your CRM, ad platforms, analytics, and internal tools.

Privacy & Compliance

GDPR/CCPA consent architectures, server-side tracking to reduce data leakage, and privacy-first measurement strategies.

Implementation Process

A systematic approach to MarTech that avoids the classic "buy tools, figure it out later" trap.

1

Stack Audit

Inventory your current tools, data flows, and integrations. Identify redundancies, gaps, and what's actually being used vs. what's just costing you money.

2

Requirements Mapping

Define what data you need, where it needs to go, and what decisions it should enable. Strategy before software.

3

Architecture Design

Design the data layer, tracking plan, integration map, and consent framework. Document everything before implementation.

4

Implementation

Deploy tracking, configure platforms, build integrations, and set up dashboards. Systematic, tested, and documented.

5

Validation & QA

End-to-end data validation — verify every event fires correctly, every integration passes data accurately, every dashboard reflects reality.

6

Training & Optimization

Hands-on training for your team, runbooks for common tasks, and ongoing optimization based on real usage patterns.

Platforms & Expertise

Deep experience across the marketing technology landscape.

Google Tag ManagerWeb & Server-Side
Google Analytics 4Events & BigQuery
TableauEnterprise Dashboards
BigQueryData Warehouse
HubSpotCRM & Automation
SalesforceMarketing Cloud
SegmentCustomer Data Platform
Zapier / MakeWorkflow Automation

MarTech Philosophy

Most organizations use less than 40% of what they've already purchased. Before recommending any new tool, I audit your existing stack to find untapped capabilities and eliminate redundant spend.

The average enterprise uses 91 marketing cloud services. Most of them overlap. A lean, well-integrated stack of 8–12 tools will outperform a bloated ecosystem of 30+ every time.

My rule: no new tool until you've maximized what you have.

What You Get

Every MarTech engagement includes these deliverables.

  • Full stack audit & recommendations
  • Tracking plan with event taxonomy
  • Data layer specification
  • GTM container setup (web + server)
  • GA4 configuration & custom events
  • Consent management integration
  • Dashboard & reporting setup
  • Platform integrations & APIs
  • Data validation & QA testing
  • Team training & documentation
  • 30 days post-launch support
  • Ongoing managed services

Impact

40%

Avg. Tool Redundancy Found

99.5%

Data Accuracy Target

< 24h

Issue Detection Time

8–12

Ideal Stack Size

Common Questions

Buying tools is shopping. MarTech is architecture. I design how your tools connect, how data flows between them, and how the whole system enables better marketing decisions. Without this, you end up with expensive software nobody fully uses.

Almost never. Most engagements involve configuring existing tools properly, building integrations between them, and occasionally replacing one or two that genuinely don't fit. I aim to maximize your current investment before adding new costs.

I design a clean GA4 implementation from scratch — not a copy of your old UA setup. GA4's event-based model requires rethinking your measurement strategy, not just migrating properties. I build a new tracking plan, implement it alongside your existing setup, and validate data parity before cutover.

If you're spending significant money on paid media, yes. Server-side GTM gives you first-party data collection, better conversion accuracy (20–30% more conversions captured vs. client-side), and compliance with privacy regulations. The ROI usually pays for itself within the first month.

Absolutely. I often work alongside media agencies, design teams, and internal marketing ops. I handle the technical architecture and implementation; they handle strategy and creative. Clear handoff documentation makes collaboration seamless.

A stack audit takes 1–2 weeks. A full tracking implementation (GTM + GA4 + dashboards) runs 3–5 weeks. A comprehensive MarTech transformation with integrations and automation takes 6–10 weeks. Timeline depends on the number of platforms and complexity of integrations.

Ready to Fix Your MarTech Stack?

Let's start with an audit of what you have and build a plan for where you need to be.

Roles This Covers

CRM Marketing ManagerLifecycle Marketing ManagerMarketing Analytics ManagerMarketing Automation ManagerMarketing Technology Manager

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