
Viktor Kvant on tag management and web analytics.
The Essential Web Analytics Toolkit for 2026
From privacy-first tracking to BigQuery pipelines — the tools that matter.
Tips & TricksAdvanced Segmentation Patterns That Actually Work
Go beyond basic filters to uncover hidden user behaviour insights.
Robin SignalsMeet the Privacy-First Analytics Platform
Cookieless tracking, real-time dashboards, and R/Python integration built in.
What Viktor Kvant works on
Google Tag Manager
Container architecture, naming conventions, data layer design and governance for enterprise GTM setups across many markets and brands.
Server-side GTM
Server-side tagging on Google Cloud Run: first-party cookies, event enrichment, CI/CD for containers and durable measurement despite ITP and ad blockers.
Cookie consent & GDPR
Consent Mode v2, consent management platforms and privacy engineering under GDPR and the ePrivacy Directive — measurement that holds up to a DPA audit.
Web analytics & GA4
GA4 and GA360 implementations, measurement plans, attribution and experimentation — from tagging specification to decisions the business can trust.
BigQuery & analytics engineering
GA4 BigQuery exports, flattened event models in dbt and Dataform, window functions and statistical modelling directly on raw event data.
Viktor Kvant
Analysverket is written by Viktor Kvant, a senior web analyst based in Lund, Sweden, with nearly two decades of experience in web analytics. His work centres on Google Tag Manager, server-side tagging, cookie consent and Consent Mode, GA4 and BigQuery — building enterprise measurement that is accurate and compliant. Every tool review and technique on the site comes from production work, not vendor brochures.
He also builds tools for the same stack — TagConsole for GTM, MeaConsole for GA4 administration and RelConsole for Dataform — and Vitki Runor, an open-source platform for quantitative runestone analysis.
More about Viktor KvantSenior-level techniques from the field.
Sessionisation, server-side tagging, consent bias, BigQuery modelling and causal inference — practical guides drawn from production work.
Browse Tips & Tricks