data-collection

  • - Analytics Alternatives: who runs where

    Matomo, Plausible, Fathom and others are often cited as privacy-respecting Google Analytics alternatives. But privacy compliance and infrastructure sovereignty are not the same thing. A reference table comparing European analytics vendors by actual infrastructure provider.

  • - Consent Management Platforms: who runs where

    A reference table comparing European CMP vendors by actual infrastructure provider. Which ones run on AWS or GCP — and what that means for CLOUD Act and FISA 702 exposure.

  • - sGTM Hosting Providers: who runs where

    Server-side GTM moves data processing off the browser — but where does it actually land? A reference table comparing European sGTM hosting vendors by infrastructure provider.

  • - [Case Study] Rebuilding analytics for a multi-domain tourism SPA

    A large-sized Italian tourism operator running hop-on-hop-off bus tours and experience bookings across three domains came to me with a common problem: their advertising platforms were not receiving reliable conversion data. Meta, LinkedIn, Google Ads, and TikTok dashboards told conflicting stories. Attribution was unreliable. Nobody trusted the numbers. This is the story of how I rebuilt their analytics infrastructure from the ground up.

  • - GA4 Ecommerce DataLayer for Shopify: Complete Implementation Guide

    Shopify's native GA4 integration misses ~20% of orders and skips critical funnel events. This guide covers the complete implementation: Liquid snippets for storefront events, Custom Pixels API for checkout tracking, GTM configuration, server-side fallback with webhooks, and the checkout.liquid deprecation timeline you need to know.

  • - GTM Server-Side vs Client-Side: Real Benchmarks and Honest Trade-Offs

    Server-side GTM promises better performance, more accurate data, and longer cookie lifetimes. But the benchmarks tell a more complicated story than vendor blogs admit. This article compares client-side and server-side GTM across five dimensions — page speed, data accuracy, cookie durability, cost, and complexity — using real numbers from published tests and case studies.

  • - [Case Study] Auditing Adobe Analytics data layers across 8 European markets: what I found

    I audited the Adobe Analytics data layer implementation across 8 European websites of a major grocery retailer. Two different data layer architectures, inconsistent page type taxonomies, and diverging product data. Here is what a real-world multi-market audit looks like and what you can learn from it.

  • - Google Tag Gateway vs Server-Side GTM: Which One Do You Need?

    Browser tracking is losing signal. Safari caps cookies at 7 days, ad blockers strip requests to googletagmanager.com, and Firefox blocks third-party resources by default. Google Tag Gateway and server-side GTM both solve this, but they take fundamentally different approaches. This guide compares them head-to-head with real setup examples.

  • - GTM MCP Server: AI-Powered Google Tag Manager Automation

    Managing GTM at scale is tedious. Creating GA4 ecommerce tracking means 12+ tags, matching triggers, and variables—each requiring careful configuration. I built an open-source MCP server that connects Claude and ChatGPT directly to the GTM API. Describe what you need in plain English, and the AI handles the implementation. Here is how it works, how to set it up, and real-world workflows for analytics teams.

  • - GTM Consent Mode V2: Complete Implementation Guide

    Google Consent Mode V2 became mandatory for EEA advertisers in March 2024. Without it, you lose remarketing audiences and conversion data. This practical guide covers the two new parameters (ad_user_data, ad_personalization), basic vs advanced modes, GTM implementation with popular CMPs, and verification steps.

  • - Implementing Server-Side GTM with Docker: On-Premise Solution Guide

    Implementing GTM Server-Side on self-hosted infrastructure reduces costs from €50-150/month (Google Cloud) to €5-20/month while ensuring on-premise compliance essential for regulated industries. This technical guide covers complete Docker implementation: container setup, DNS configuration, Caddy reverse proxy with automatic SSL, health checks, zero-downtime deployment, automated backups, and troubleshooting. Solution for IT Managers, DevOps Engineers, and consultants seeking cost-effective, on-premise alternatives to managed cloud solutions.

  • - Google Tag Manager Server-Side: Implementazione On-Premise con Docker

    Implementare GTM Server-Side su infrastruttura self-hosted riduce i costi da 50-150 €/mese (Google Cloud o servizi terzi) a 5-20 €/mese, garantendo compliance on-premise essenziale per settori regolamentati. Questa guida tecnica copre l'implementazione completa con Docker: setup container, configurazione DNS, reverse proxy Caddy con SSL automatico, health checks, deployment zero-downtime, backup automatizzati e troubleshooting. Soluzione per IT Manager, DevOps Engineer e consulenti che cercano alternative cost-effective e on-premise a soluzioni cloud managed.

  • - Strategia di Tracking: Come costruire un sistema di misurazione che funziona

    Dati frammentati, domande senza risposta, decisioni basate su intuizioni: succede quando si traccia senza strategia. Questa guida mostra come costruire un sistema di misurazione che funziona davvero, collegando metriche a obiettivi business concreti. Dal customer journey alla struttura degli eventi, dall'implementazione tecnica all'analisi che porta risultati.

  • - Tracking Strategy: How to Build a Measurement System That Works

    Fragmented data, unanswered questions, decisions based on gut feeling: this happens when you track without strategy. This guide shows you how to build a measurement system that actually works, connecting metrics to concrete business objectives. From customer journey to event structure, from technical implementation to analysis that drives results.

  • - Un DataLayer Coerente per il Tuo E-commerce Come Superare i Limiti dello Standard di Google

    Lavorando nel Digital Marketing sai quanto sia cruciale avere un tracciamento preciso dei dati per prendere decisioni strategiche. Tuttavia, chiunque abbia implementato il tracciamento ecommerce di GA4 si sarà scontrato con alcune problematiche che possono rendere la gestione dei dati più complessa del necessario. Lo standard proposto da Google, pur essendo un punto di partenza utile, presenta diversi problemi