About Geek-KB

Geek-KB was founded to solve a simple problem: the gap between marketing strategy and technical execution. Too many companies invest in analytics tools but struggle to extract actionable insights. We bridge that gap.

This blog shares battle-tested implementations, real-world solutions, and technical guides for marketing technologists, analysts, and engineers who need to make data work for their business. Every tutorial has been deployed in production. Every guide solves an actual problem we’ve encountered.

Meni Lavie – Marketing Analytics & Data Engineering

Meni specializes in building the data infrastructure that turns marketing activity into measurable business outcomes. With deep expertise in Google Analytics 4, Google Tag Manager, and marketing automation platforms, he designs and implements tracking architectures that scale from startup to enterprise.

What Meni Does:

  • Ecommerce Data Layer Implementation: Complete GA4 enhanced ecommerce tracking for WooCommerce, Shopify, Magento, and custom platforms. From product impressions to purchase attribution, we build the tracking infrastructure that shows exactly which marketing channels drive revenue—not just traffic
  • Marketing Data Pipelines: Custom ETL processes that consolidate data from ad platforms, CRMs, and analytics tools into unified reporting systems (BigQuery, data warehouses, BI tools)
  • Conversion Tracking Architecture: End-to-end implementation of GA4 enhanced ecommerce, server-side tracking, and cross-domain measurement for accurate attribution
  • Martech Stack Integration: Connecting disparate systems (Marketo, HubSpot, Salesforce, Google Ads, Meta Ads) into cohesive data flows that eliminate manual reporting
  • AI-Assisted Campaign Optimization: Integrating machine learning models and AI tools into marketing workflows for predictive analytics, audience segmentation, and automated bid optimization
  • Compliance & Privacy: GDPR and privacy-compliant tracking implementations using Consent Mode v2, ensuring accurate measurement without compromising user privacy

Meni works with performance marketing teams, analytics managers, and marketing operations leaders who need someone who understands both the business question and the technical answer. His approach: listen to what you’re trying to measure, then build the system that measures it correctly.

Technical Focus Areas: Google Analytics 4, Google Tag Manager (client-side & server-side), BigQuery, Data Studio/Looker Studio, Python for data pipelines, WooCommerce/Shopify ecommerce tracking, marketing automation platforms (Marketo, HubSpot), consent management, cross-domain tracking, enhanced ecommerce measurement

Itay Ganot – DevOps & Infrastructure Engineering

Itay brings deep expertise in DevOps practices, cloud infrastructure, and open-source solutions. He specializes in building scalable, secure, and automated infrastructure for both SMB and enterprise environments.

What Itay Does:

  • Infrastructure as Code: Terraform, CloudFormation, and automation frameworks for repeatable, version-controlled infrastructure deployment
  • CI/CD Pipeline Engineering: Building and optimizing continuous integration and deployment workflows using Jenkins, GitLab CI, GitHub Actions
  • Container Orchestration: Kubernetes, Docker, and containerization strategies for microservices architectures
  • Security & Compliance: Implementing security best practices, vulnerability scanning, and compliance frameworks (SOC2, ISO 27001)
  • Open-Source Solutions: Deploying and maintaining enterprise-grade open-source tools for monitoring, logging, and infrastructure management

Itay’s guides focus on practical implementations—step-by-step tutorials that solve real infrastructure challenges. If you’ve ever wondered “how do I actually deploy this in production,” you’re in the right place.

Technical Focus Areas: Kubernetes, Docker, Terraform, AWS/GCP/Azure, Linux system administration, CI/CD pipelines, monitoring (Prometheus, Grafana), log aggregation (ELK stack), security tooling (Syft, Grype), infrastructure automation

Why Geek-KB Exists

Most technical documentation falls into two categories: too simple (blog posts that skip the hard parts) or too complex (vendor docs that assume you already know everything). We aim for the middle: detailed enough to actually implement, clear enough to understand why.

Every article on this site has been implemented in production environments. We don’t write theoretical guides—we share solutions that solved real problems for real businesses. If it’s published here, it works.

What You’ll Find Here:

  • Complete implementation guides for GA4, GTM, and marketing analytics
  • Ecommerce tracking architectures for WooCommerce, Shopify, and custom platforms
  • DevOps tutorials covering infrastructure, security, and automation
  • Data pipeline architectures and ETL workflows
  • Privacy-compliant tracking implementations
  • Open-source tool configurations and integrations
  • Real-world troubleshooting and debugging approaches

Work With Us

We offer consulting and implementation services for organizations that need expert help with:

Ecommerce Data Layer Implementation

The Challenge: You’re running a WooCommerce, Shopify, or custom ecommerce store, but you don’t know which marketing channels actually drive revenue. Google Analytics shows sessions and pageviews, but you can’t attribute sales to specific campaigns, calculate true ROAS, or identify your best-performing products.

What We Build:

  • Complete GA4 enhanced ecommerce tracking (product impressions, add-to-cart, checkout, purchase events)
  • Custom data layer architecture for your ecommerce platform
  • GTM configuration optimized for revenue attribution
  • Integration with advertising platforms (Google Ads, Meta Ads) for conversion tracking
  • Custom reporting dashboards showing revenue by channel, campaign, product, and customer segment
  • Server-side tracking implementation for cookie-less measurement
  • Privacy-compliant tracking that respects user consent while maintaining data accuracy

The Result: Know exactly which marketing dollars drive revenue. See product-level performance. Calculate accurate customer lifetime value. Make data-driven decisions on ad spend, inventory, and pricing.

If you’re generating over $50,000/month in ecommerce revenue, the cost of incorrect tracking (missed attribution, wrong product data, inaccurate ROI) far exceeds the investment in professional implementation.

Learn more about ecommerce data layer implementation →

Other Services

  • GA4 Migrations & Implementations: Complete migration from Universal Analytics, custom event tracking, conversion setup, and reporting configuration
  • Marketing Data Warehouse: BigQuery setup, automated data pipelines from ad platforms and CRMs, custom reporting dashboards
  • Martech Integration: Connecting marketing automation platforms (Marketo, HubSpot, Pardot) with analytics tools for closed-loop reporting
  • Server-Side Tracking: GTM Server-Side implementation for first-party data collection and improved tracking accuracy
  • DevOps & Infrastructure: Cloud migrations, CI/CD pipeline setup, infrastructure automation, security implementations
  • Technical Audits: Comprehensive review of existing tracking implementations with actionable recommendations

Whether you need a one-time implementation, ongoing support, or just want to validate your technical approach, we can help.

Contact us: Admin@geek-kb.com

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