Analytics Setup Guide for E-commerce Teams

Enable Google Analytics 4 through Shopify's native integration. This captures all storefront events: page views, add-to-cart, purchases, and customer data automatically.

Set up purchase events as primary conversions in GA4. Define secondary conversions for add-to-cart and email signups to measure funnel performance.

Import product categories, tags, and attributes into GA4 via your product feed. This lets you analyze performance by product type, price range, and inventory status.

Activate detailed event tracking for view_item, add_to_cart, begin_checkout, and remove_from_cart. These reveal where customers drop out in your funnel.

Build GA4 dashboards showing daily conversion rate, AOV, traffic source performance, and cart abandonment rate. Pin to your analytics workspace for daily review.

Standardize UTM tagging (source, medium, campaign, content) on all ad campaigns, email links, and social posts. GA4 will categorize all traffic consistently.

Use Shopify Pixel or Google Tag Manager to send purchase data server-side. This bypasses ad blockers and provides cleaner attribution for paid channels.

Enable GA4's multi-touch attribution models (data-driven, linear, time-decay). Compare how ROAS changes based on which channel gets credit for each conversion.

Link your email platform (Klaviyo, Klaviyo) to GA4 to measure email click-through rate, unsubscribe rate, and revenue per email segment directly in GA4.

If you sell in-store or via phone, manually upload offline transactions to GA4. This completes the picture of total revenue and ROAS by channel.

Use Shopify's built-in customer reports or import customer purchase history into a spreadsheet. Calculate: (avg order value × repeat purchase rate) / churn rate = CLV.

In GA4, create a metric tracking the % of customers who buy more than once within 90 days. This KPI reveals retention health and product-market fit.

Analyze customer behavior by acquisition date and source in GA4. Track how repeat purchase rate and CLV evolve for each cohort over 6 months.

Track email click-through rate, open rate, and revenue per recipient in Klaviyo and sync to GA4. Isolate which email types (abandoned cart, winback) drive repeat purchases.

Use Hotjar or Shopify's abandonment reports to identify where customers drop out: shipping cost, payment options, form friction. Segment by new vs. repeat buyers.

Track ROAS (return on ad spend) by campaign in Meta Ads Manager and Google Ads. Pause campaigns under 2.5x ROAS, scale winners above 4x ROAS weekly.

Use Shopify's product analytics to find which items are bought together most often. Create bundle offers or upsell recommendations for high-affinity pairs.

Link GA4 conversion rate and repeat purchase rate trends to inventory forecasting. If repeat purchase rate is rising, stock more SKUs popular with loyal customers.

Set up Klaviyo flows triggered by GA4 purchase events: thank you email (day 0), care tips (day 3), winback offer if no repeat purchase within 45 days.

Calculate revenue per visitor (RPV) = total revenue / total users. Track this weekly by traffic source. RPV combines conversion rate and AOV, so it's your master metric.