LeadJourney for E-commerce

You sell products online, the purchase usually completes in one session, and the number that matters is revenue per order against what you paid to win it. This is the end-to-end playbook for online stores – Shopify, WooCommerce or any platform: connect your ad platforms, track the full path from click → add to cart → completed order, bring the order value in (through Stripe, a webhook, or your store's order events), net out refunds, and let LeadJourney show you ROAS, AOV, cost per order and customer LTV down to the individual ad.

The chain you're building

LeadJourney stitches together the click you paid for, the cart it filled, and the order – with its real money – that followed:

Ad click → tracked visitor → add to cart → checkout → completed order → revenue → repeat orders & LTV.

The ecommerce-friendly part: unlike SaaS or iGaming, the purchase usually happens in the same session, minutes after the click – so the click ID is often still in the browser, and the customer's email is always captured at checkout. That makes attribution more forgiving. The one catch: most stores send shoppers to a hosted checkout on a different domain (Shopify's checkout, your payment provider's page), where your script – and the click ID – can drop. The fix runs through steps 1 and 3: make sure the completed order reaches LeadJourney with its value and the customer's email, even when checkout happened off-site. If you want the concept first, read How attribution works.

What you'll set up

See your results

Once orders, carts, repeats and refunds are flowing, the reports answer the questions a store team lives on:

• Traffic Channel Report – every source side by side: clicks, cost, orders, revenue, ROAS and profit. Your "where should the budget go?" view.
• Campaign Report – drill campaign → ad set → ad, then sort by orders, AOV or revenue to find what to scale and what to cut.
• Lead Overview – the real customers behind the numbers, each with its full journey from first click through cart to order and repeat purchases.
• Report Builder & Dashboards – build ROAS, AOV and LTV views and pin them where the team will see them.

Attribution for considered purchases

An impulse buy completes in one session, so last click tells the whole story. But a considered or high-ticket purchase takes days and several visits – the shopper clicks an ad, leaves, then returns via a brand search or direct visit to buy. With last click that order lands on Direct and the ad that introduced the product looks worthless. For those journeys, switch the report's Attribution dropdown to first click so the channel that created the customer gets the credit – and make sure your attribution window covers your real consideration time. It only changes the view, never the data. See Attribution models.

Tips for clean e-commerce data

• Always send a revenue value on every order. Without it you get order counts but no ROAS, AOV or LTV.
• Net out refunds and returns. Ecommerce return rates are high – a Refund with negative revenue keeps ROAS honest, so a campaign full of returns doesn't read as profitable.
• Cover the order-confirmation page. Off-domain checkouts are where click IDs and purchases go missing – make sure the order reaches LeadJourney either from the thank-you page or a server-side webhook.
• Always send the customer's email with the order. It's your most reliable match key in ecommerce; the click ID is the bonus, not the requirement.
• De-dupe order webhooks. Store and payment-provider webhooks retry, so set events where one fire per order is correct (like Refund) to Ignore duplicate postbacks to keep counts honest.
• Add non-API spend. Influencers, affiliates, email/SMS and marketplace fees won't sync from an ad platform – add them under Channel Costs so blended ROAS is real.

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