Google Analytics
We unpack the work that makes analytics trustworthy: GA4 setup, UTM parameters, Consent Mode, server-side tagging, Looker Studio and e-commerce measurement. Good reporting should do more than look tidy — it should help with budget, channel and optimization decisions.
Google Analytics MCP is Google's official read-only server for connecting AI to GA4 through the Admin API and Data API. This guide explains when it speeds up ad-hoc analysis, how to verify model answers and why clean events, UTM discipline and consent-aware measurement still decide whether the output is usable.
A practical server-side tagging guide for performance teams: what sGTM really does, when to use Google Cloud or Cloudflare, how it supports Meta CAPI, Enhanced Conversions, Consent Mode and first-party measurement.
UTM parameters help Google Analytics identify campaign traffic from email, social, partners, QR codes and other external links when they are used with a clear naming convention.
A Google Analytics audit checks whether GA4 data is reliable enough for marketing, product and budget decisions. This guide explains how to review events, ecommerce tracking, Consent Mode, referrals, UTMs, cross-domain journeys, reconciliation and reporting so fixes are prioritized by business impact.
Google Analytics 4 is the current Google Analytics standard, but its value depends on event design, consent setup, ecommerce or lead tracking and reporting discipline. This guide explains how GA4 differs from Universal Analytics, why the event-based model matters and how to implement it so marketing decisions are based on usable data.
Consent Mode v2 passes analytics, advertising and personalisation consent signals to Google tags. Implementation depends on CMP mapping, timing, testing and diagnostics.
Transactional email UTM tagging helps separate order confirmations, invoices, shipping updates and account emails from newsletters, lifecycle flows and marketing automation in GA4.
Bounce rate in GA4 is the share of sessions that were not engaged, but the number only becomes useful when it is tied to page intent, traffic source, device, events and business outcomes. This guide explains the GA4 definition, why Universal Analytics comparisons fail and how to diagnose bounce on landing pages, ecommerce pages, blog posts and lead-generation journeys.
Google Tag Manager manages analytics and advertising tags from one interface. Learn tags, triggers, variables, data layer, consent mode, server-side tagging and QA.
Ecommerce analytics should connect GA4 events, backend orders, ad costs, product margin, refunds, stock, retention and LTV so decisions are based on profit quality, not only revenue. This guide explains what to measure, how to QA data and how to turn ecommerce reports into budget, UX, feed and merchandising actions.
Google Data Studio is now Looker Studio, but the real value is not chart design: it is a validated reporting layer that helps teams decide what changed, why it changed and what to do next. This guide explains how to build marketing dashboards with GA4, Google Ads, Search Console, Sheets, BigQuery, blended data and clear KPI definitions.
Payment gateway, bank and hosted checkout referrals can overwrite attribution in GA4. Learn how to fix them with unwanted referrals, cross-domain measurement, checkout testing and ecommerce validation.