Shopper Automations is measured differently than traditional SMS automations. The goal shifts from optimizing an individual flow to optimizing revenue per subscriber over the course of weeks and months.
It runs a built-in test against your regular automation flows: the test group gets Shopper Automations, the control group keeps your existing flows, and your dashboard shows the difference. This article explains how to read those results and when to scale up.
Why There's No Flow-by-Flow Reporting
In a traditional program, each flow has a start, an end, and its own stats. Shopper Automations doesn't work in flows — it sends the next best message for each subscriber, whenever that moment is. So the honest unit of measurement isn't a flow, it's your program: what did Shopper-managed subscribers generate compared to subscribers running through your existing flows?
That comparison is built in from day one, so you're always reviewing truly incremental results.
Your Metrics
You'll find your Shopper Automations dashboard in-app under Data & Insights > Shopper. At the top of the dashboard, you'll see a written summary of your results, including the incremental return.
Below that, you'll see a detailed breakdown of your control vs. test metrics:
Attributed Revenue — Revenue associated with Shopper recipients.
Revenue per subscriber lift — Attributed revenue divided by subscriber count per cohort. This is the North Star metric that Shopper Automations is measured on.
ROI — Return relative to what you're spending in each group.
CTR — Click-through rate on messages in each group.
Unsubscribe rate — Tracked side by side so you can verify Shopper's sending isn't costing you list health against your own baseline.
Reading Your Results
Give the test time to mature. Plan your first check-in about a week after activation. Two things to set expectations on going in: it takes time to build enrollment volume, and it takes additional time on top of that for lift to reach statistical significance. Plan on roughly 2–6 weeks for the exploration phase to fully play out.
Compare against control, not against last month. Seasonality, promos, and list growth affect both groups equally — that's the point of the design. The lift number between groups is the real signal.
Watch unsubscribe rate alongside revenue. Strong revenue with rising unsubscribes isn't a win. Both are visible so you can judge the full trade.
Scaling Your Split
If results are consistently positive over time, you can increase the share of your audience handled by Shopper Automations. From the Shopper Automations settings page, you can increase your test-group audience split to a maximum of 80%.
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