Analytics & Conversion Tracking

Analytics and Conversion Tracking Research

This category contains articles, guides, and original research about web analytics, conversion tracking, ecommerce measurement, and attribution. We cover topics such as GA4, Google Tag Manager, server-side tracking, advertising pixels, conversion APIs, CRM imports, event quality, and data discrepancies between platforms.

The purpose of this section is to explain how measurement systems work, why tracking issues appear, and how data should be interpreted in real business and advertising contexts. Content is focused on education, analysis, and practical understanding rather than promotion of specific services.

Oct 14, 2026

Why GA4 Shows So Few Search Queries: Google Ads vs Search Console

Why do Google Ads, Search Console, and GA4 tell different stories about search traffic? This report explains hidden queries, mismatched clicks and sessions, canonical URLs, Discover, and the limits of combining search data with website outcomes.

Oct 11, 2026

GA4 Cross-Domain Tracking: Keep One Session Across Landing Pages, Apps, Booking and Payment

A practical GA4 cross-domain implementation and testing guide for landing pages, web apps, YCLIENTS, payment processors, redirects, and server-side purchases.

Oct 5, 2026

GA4 Page Dictionary: Landing Page, Page Path, Page Location and First Page

A practical GA4 page dictionary with ready-to-use report setups. Rebuild All Pages, distinguish session entry from conversion location, and understand why campaign reports include pages your ads never linked to.

Sep 24, 2026

ChatGPT Ads View-Through Attribution: What Changed and How to Reconcile CRM Data

ChatGPT Ads can now combine click-through and view-through conversions. Learn what changed, why interface and API definitions may differ, and how to reconcile platform reporting with CRM outcomes without inventing an order-level match.

Sep 22, 2026

Offline Conversion Tracking: Testing, Attribution and Smart Bidding

Learn how to test CRM and offline conversion tracking, investigate missing or duplicate events, reconcile advertising reports with real sales, and choose reliable bidding goals.

Sep 22, 2026

Offline Conversion Tracking: CRM Integration, IDs and Consent

Connect CRM, payment, call and in-store outcomes to advertising platforms. Understand integration options, matching identifiers, consent and secure data handling.

Sep 20, 2026

Meta Conversions API: When It Helps and When It Just Repeats Data

Meta Conversions API can recover missing purchases, add useful identifiers, and report CRM outcomes. But repeating the same data is not automatic enrichment, and Gateway does not guarantee longer-lived Safari cookies. Learn which setup addresses which gap.

Sep 19, 2026

Why Shopify Purchases Go Missing in GA4 — and How to Improve Tracking

Shopify purchases can go missing in analytics because of consent gates, payment returns and disconnected event sources. Compare native Google Ads recovery, Advanced Consent Mode, GTM custom pixels and paid tracking apps.

Sep 14, 2026

Meta Pixel and CAPI Deduplication: How event_id Actually Works

One purchase can generate several tracking requests. Learn how to preserve its identity across Meta Pixel, CAPI, payment webhooks, and server retries without confusing raw events with attributed conversions.

Sep 6, 2026

Can One Server-Side GTM Container Serve Multiple Domains?

One server-side GTM container can serve several domains, but sharing a server does not merge identities or isolate client data. Learn how to route events, preserve consent, separate GA4 data, and allocate costs.

Aug 31, 2026

GA4 Users, Active Users, New Users and Sessions: Why Daily Numbers Do Not Add Up

A practical 10-user model showing why GA4 daily user counts overlap, how Active, Total, New and Returning Users differ, which metrics can be added, and where HLL++ changes reconciliation.

Aug 28, 2026

How to Build GA4 Funnels Correctly: Why One Funnel Produces Five Different Results

GA4 funnels can show different numbers without being broken because the counting unit, identity, entry rule, sequence boundary, channel scope, and date window change. This guide compares one paid ecommerce funnel in the standard report, Funnel Exploration, and BigQuery at user, session, and entry-event level.