In this guide, we’ll walk you through SQL queries to calculate Active, New, and Returning Users, explore cross-device behavior, and share best practices for deduplication and segmentation. By the end, you’ll have a complete toolkit to analyze GA4 users in BigQuery with precision—perfect for building reports, dashboards, or feeding insights into your CRM or marketing … Read more
GA4 completely changed how we think about website and app users. Instead of just counting every visitor like Universal Analytics (UA) did, it focuses on real engagement. To truly master GA4, you have to go beyond the basics and understand how it defines, measures, and reports on users, especially when you dive into the raw … Read more
One of the biggest shifts from Universal Analytics to GA4 is the way data is structured around events and scopes. Whether you’re analyzing campaigns, funnels, or user behavior, understanding the difference between event-scoped, session-scoped, and user-scoped metrics is critical. In this post, we’ll use BigQuery SQL to show how scope affects your numbers — with … Read more
If you’ve logged into GA4 in the morning and noticed that the previous day’s session count doesn’t look quite right, you’re not alone. This is a common GA4 behavior — not necessarily an “issue.” The Main Reason: Data Processing Latency GA4 does not process data in real time for standard reports.Here’s what you should know: … Read more
Yesterday’s post: How to Measure and Analyze Cart Abandonment with GA4 and BigQueryToday, we’ll go beyond a single funnel view and break down performance by campaign and by product category — so you can quickly see what’s driving the best conversion rates. Why This Matters Not all campaigns or product lines pull their weight.If you’re … Read more
Cart abandonment kills revenue. But with GA4 and BigQuery, you can do more than just spot it—you can uncover when users come back naturally, and when to target them effectively to win them back. Yesterday, we tackled Calculating Conversion Rates at Each Step of the Ecommerce Funnel Using BigQuery SQL.Today, let’s focus on cart abandoners—identifying … Read more
Yesterday, we explored how to query GA4 ecommerce events in BigQuery to analyze your checkout funnel.That post laid the foundation by showing how to pull funnel stage counts from GA4’s raw event data. Today, we’re going deeper.We’ll calculate conversion rates at each step of the ecommerce funnel, handle deduplication at both the user and session … Read more
Understanding your e-commerce checkout funnel is key to improving conversions and sales. Google Analytics 4 (GA4) exports detailed event-level data to BigQuery. This lets you slice and dice every user interaction in your funnel. These interactions range from product views to purchases. In this post, I’ll walk you through the GA4 e-commerce event schema in … Read more
Understanding how different channels contribute to user acquisition vs. user retention is critical for optimizing spend and strategy. In GA4, while you get some visibility into user types, a more detailed analysis often requires BigQuery SQL. This guide walks you through: Why This Analysis Matters Most marketing teams ask: By breaking down New vs. Returning … Read more
Understanding the difference between new and returning users is critical for marketers and analysts who care about user acquisition, retention, and behavior trends. While GA4 simplifies many things, it doesn’t directly provide an easy way to segment returning users—especially if you want to go beyond default reports. This deep dive walks you through how GA4 … Read more
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