E-commerce tracking: purchases, revenue, and product performance

Part 8 marked purchase as a key event. This part builds out the complete e-commerce tracking sequence around it — not just the final transaction, but every real step leading to it, which is what makes GA4's Monetization reports genuinely useful rather than a single, isolated revenue number.

The full e-commerce event sequence

view_item        → someone views a specific subscription plan page
add_to_cart       → adds it to cart
begin_checkout    → starts the checkout process
add_payment_info  → enters payment details
purchase          → completes the transaction

Each of these is a real, recommended GA4 event name (part 3), and tracking the entire sequence — not just the final purchase — is what makes real funnel analysis possible at all. Part 12's exploration reports depend directly on having every intermediate step tracked, not only the endpoints.

A real, complete purchase event

Event: purchase
Parameters:
  transaction_id: "BLC-10293"
  value: 45.00
  currency: "USD"
  items: [
    {
      item_id: "BLC-002",
      item_name: "Gift Subscription",
      item_category: "Subscriptions",
      price: 45.00,
      quantity: 1
    }
  ]

This is the same real structure introduced in part 3, now shown as the final step of the full sequence above — every earlier event in the chain (view_item, add_to_cart) should reference the exact same item_id and item_name values, since that consistency is what lets GA4 connect a specific product's full journey from first view through to completed purchase.

Reading a real product-performance report

Item name                Item views   Add-to-carts   Purchases   Revenue
Gift Subscription             820          210           58      $2,610
Ethiopian Light Roast          640          180           71      $1,278
Dark Roast Subscription        510          140           45      $  810

The Gift Subscription converts from view to purchase at a lower rate than Ethiopian Light Roast (7.1% vs. 11.1%) despite similar view volume — a real, specific signal worth investigating directly: is the gift-subscription landing page (the Google Ads series' own message-match guidance covers exactly this kind of gap) genuinely serving that specific intent as well as it could?

Why partial e-commerce tracking produces misleading numbers

Tracking only `purchase`, with no view_item or add_to_cart: total revenue
is accurate, but there's no way to see where potential customers are
actually dropping off before ever reaching that final step

A business tracking only the final purchase event gets a real, accurate total revenue figure — but loses the ability to diagnose why a specific product underperforms, since there's no visibility into whether the problem is insufficient views, a weak add-to-cart rate, or cart abandonment specifically. The full sequence is what turns a single revenue number into an actual, actionable funnel.

Cross-referencing revenue against real ad spend

Google Ads spend on "Gift Subscription" campaign: $340
Gift Subscription revenue attributed to that campaign: $980

Part 14 covers linking GA4 directly to Google Ads and Meta Ads reporting — but the real principle is already visible here: e-commerce revenue by itself only becomes a genuine efficiency signal once it's compared against what was actually spent to generate it, the same ROAS calculation the Google Ads series covers directly.

Refunds: a real, honest completeness check

Event: refund
Parameters: transaction_id: "BLC-10293", value: 45.00, currency: "USD"

A complete e-commerce implementation tracks refund events too, matched by the same transaction_id — without this, reported revenue stays inflated by transactions that were later reversed, a real accuracy gap easy to overlook until a finance team's own numbers disagree with GA4's.

Next: lead generation tracking for a B2B business like GreenDesk, where there's no direct transaction value to measure the same way.