How to See Shopify/DTC Product Conversion Rate in GA4 скачать в хорошем качестве

How to See Shopify/DTC Product Conversion Rate in GA4

In this tutorial, you’ll learn exactly how to see product conversion rate in Google Analytics 4 (GA4)—including how to calculate per-product conversion rate, how to avoid misleading percentages, and how to analyze GA4 eCommerce conversion rate using Explorations, calculated metrics, scatter plots, and funnels. This is especially helpful if you’re running Shopify + GA4, and you want to understand which products convert best, which products get views but don’t sell, and how to measure user conversion rate vs product conversion rate properly. ✅ What you’ll learn (GA4 product conversion rate) In this video, you’ll learn how to: Find product conversion rate in GA4 (per product / per item) Calculate items purchased / items viewed as a true product-level conversion metric Understand why GA4 conversion rate can be confusing for ecommerce Compare products correctly by considering traffic volume (items viewed) Use a GA4 scatter plot (views vs purchases) to identify: high-view / low-purchase products (underperformers) low-view / high-purchase products (hidden winners) outliers that may indicate tracking/reporting issues Build a GA4 funnel exploration to estimate user conversion rate (view_item → purchase) Filter by traffic source (example: session medium = CPC) to evaluate paid traffic conversion rate and campaign performance Why this matters (especially for Shopify) GA4 can be confusing because it’s designed for many use cases—not just e-commerce. But product conversion rate is a critical metric for: Optimizing product pages Improving merchandising and collections Running smarter ads Prioritizing inventory and seasonal campaigns Comparing your performance to benchmarks accurately If you’re using tools like Littledata for Shopify tracking, your purchase count can be more reliable because purchases are captured server-side—meaning your conversion metrics are often based on a more accurate set of transactions than browser-only setups. Key concepts covered: 1) Product-based conversion rate (Items Purchased / Items Viewed) This gives you a clean product-level view of “how often people buy after viewing.” 2) The “volume trap” (why 100% conversion rate can be meaningless) A product viewed twice and purchased twice looks amazing… but it’s not necessarily important to your revenue. We’ll show you how to interpret conversion rate correctly by factoring in traffic volume. 3) Scatter plot analysis (views vs purchases) A fast, visual way to identify winners and losers—especially when you filter out low-view products to focus on items with meaningful volume. 4) User conversion rate via funnel exploration Product-level metrics don’t tell you how individual users behave. Funnels help you measure the user journey (view → purchase) and compare performance across product pages. ------------------------------------------------- Join 6,000+ DTC marketers who have zero waste on their ad spend and track every conversion for their DTC brands: https://www.linkedin.com/newsletters/... Get our app on Shopify: apps.shopify.com/littledata Follow us on LinkedIn:   / littledata   Connect with our Founder and CEO, Edward Upton:   / edwardupton   Check out our website: https://www.littledata.io/ Explore our case studies: https://www.littledata.io/case-studies Follow us on Twitter: @littledatauk