Not clicks. Register receipts.

Every night, we sync completed tickets from your POS. The first export at one store pulled 22,085 customers and 59,406 tickets in about ten minutes. Each ticket carries the customer, the line items, and the completed total. That feed becomes the ground truth every campaign is measured against.

Open any campaign and you get an attribution panel instead of a vanity chart: buyers, tickets, revenue, and the match rate for 1, 7, and 14-day windows after the send. Rows are named: you can see exactly which customers bought, alongside flags showing whether each one opened or clicked before purchasing. Revenue splits into in-store versus pickup, because knowing that a campaign drove foot traffic is worth more than knowing it drove taps.

Only completed tickets count. No abandoned carts promoted to "influenced revenue," no pending orders, no double counting of voided sales. If the panel says $4,843, that money crossed the counter. And because the same ticket feed powers our purchase-based segments and auto-generated campaigns, the loop closes: real purchases decide who gets the next email, and real purchases grade it afterward.

Alpine IQ's marketing is genuinely attribution-forward: its email page promises to "track link clicks and revenue down to item level purchases," its Flows product ships "flow analytics that show business impact," and their strict-versus-broad attribution toggle is a thoughtful touch. But reporting is a recurring theme in their own G2 reviews: users ask for customizable reports, clearer dashboards, and faster load times, and reviewers report POS data taking up to 24 hours to appear. When your Friday campaign's results arrive Saturday afternoon in a dashboard you cannot reshape, the numbers stop driving decisions.

Our answer is narrower and sharper: a per-campaign panel of POS-verified revenue with named buyers and deduplicated totals, refreshed nightly from the register. If you are weighing the two platforms end to end, the full Alpine IQ comparison covers pricing, deliverability, and where they still win.

Klaviyo and Mailchimp attribute revenue by connecting clicks to online checkouts. That works for a Shopify brand. It collapses for a dispensary, where the majority of purchases happen at the counter: a customer reads your email at lunch, walks in after work, and pays at the register. To a click-attribution model, that campaign earned nothing. Google Analytics has the same blind spot: it can see your menu traffic, but it has never seen your register.

POS attribution flips the problem: instead of asking "which clicks became orders," we ask "which recipients completed tickets." The register answers with names, timestamps, and totals. It is the difference between measuring your email program by engagement and measuring it by revenue, and it is why attribution sits at the center of our Treez integration rather than bolted on as an analytics add-on. It also changes what you pay for: results you can verify against your own books, priced flat on our public pricing page.