TikTok Ads Tracking Without Cookies: Cookieless Attribution Setup

TikTok’s pixel faces a harder tracking environment than Meta or Google. TikTok’s user base skews heavily toward iOS where ITP aggressively limits third-party cookies, and TikTok’s pixel is blocked by more ad blockers than established platforms. TikTok’s Events API (their server-side tracking solution) provides the path to reliable conversion tracking without depending on browser cookies. […]

Google Ads Enhanced Conversions: Web Implementation via GTM Step by Step

Enhanced Conversions for Web is Google’s answer to the cookie deprecation problem. By sending hashed first-party customer data alongside standard conversion tags, you help Google match conversions to logged-in Google users even when browser cookies are blocked, deleted, or not set due to consent restrictions. Advertisers who implement Enhanced Conversions typically see a 5-15% increase […]

GA4 Debug Mode Without GTM: Direct Implementation Debugging

GA4’s DebugView in the GA4 interface is a powerful tool for verifying events in real time — but it only works when events are tagged with the debug_mode parameter. Most documentation covers enabling debug mode through the GTM Preview panel. What if you are implementing GA4 directly (without GTM), testing a Measurement Protocol implementation, or […]

Looker Studio Blending with BigQuery: Solving the Many-to-Many Join Problem

Looker Studio’s native data blending feature has severe limitations: it only supports left outer joins, requires exact field name matches for join keys, and breaks when either source has more than one row per join key dimension combination. Most real-world analytics scenarios involve multiple data sources with mismatched schemas and one-to-many relationships. The solution is […]

GA4 eCommerce Tracking Gaps: Purchase Events Without Product Data

Most GA4 eCommerce implementations look complete on the surface but have silent gaps that corrupt conversion reporting. Purchases are double-counted. Revenue figures in GA4 differ from your payment processor by 15%. Add-to-cart events fire for out-of-stock items. Refund events never reach GA4. These problems are common, hard to spot without systematic auditing, and expensive when […]

GTM Server-Side Consent Mode: Handling Consent Signals Centrally

Consent Mode V2 changed the rules for European advertising. Starting March 2024, Google requires Consent Mode V2 implementation to access audience targeting features in Google Ads for EEA users. The combination of server-side GTM and Consent Mode creates a powerful architecture that respects user consent while maximizing signal quality for your advertising platforms. This guide […]

BigQuery Partitioning for GA4 Data: Cut Query Costs by 90%

BigQuery charges for query processing based on bytes scanned. A GA4 property that generates 50 million events per day accumulates roughly 1.5 billion events per month. Without partitioning, every query against that table scans the entire dataset — even a simple query for yesterday’s page views reads 30 days or more of data. Proper partitioning […]

GA4 User ID Tracking: Implementation That Survives Cookie Deletion

GA4’s User ID feature lets you associate behavior across devices and sessions with a single authenticated user. When implemented correctly, User ID dramatically improves the accuracy of cross-device attribution, enables true user-level analysis in BigQuery, and makes your cohort and lifetime value reports meaningful. When implemented incorrectly, it creates duplicate users, inflates session counts, and […]

Looker Studio Community Connectors: When to Build Your Own vs. Use Existing

Looker Studio ships with native connectors for Google’s own products but nearly every analytics stack includes third-party tools: CRMs, email platforms, call tracking software, data warehouses from other vendors. For these you either find a community connector from the gallery or build your own. This guide explains how to evaluate community connectors, when they are […]

GA4 Exploration Techniques: Cohort Analysis Setup for Retention Reporting

GA4’s Cohort Exploration is one of its most underused analytical features. While most analysts stick to standard Engagement reports, cohort analysis reveals how different user groups behave over time — essential for understanding retention, evaluating product changes, and comparing the long-term value of users acquired from different channels. What Cohort Analysis Actually Measures A cohort […]