We’ve introduced analytics view that shows when customers convert into subscribers across their store order journey, and how that acquisition rate trends over time by order number so brands can pinpoint the highest-impact moment to drive subscription adoption.

What’s new

• Order-number acquisition view (distribution + rate in one place): each row represents an order number (Order #1, #2, #3…)

  • Acquired subscribers: customers who started a subscription on that order number
  • Non-subscribed customers: total customers who placed an order on that order number
  • Acquisition rate: (Acquired subscribers ÷ Non-subscribed customers) × 100
• Order-wise acquisition rate trend: select an order number (e.g., Order #1) and a time granularity (e.g., Daily) to track how acquisition rate moves over time, making it easy to spot lifts or drops tied to changes in checkout, widget placement, offers, pricing, or campaigns.

Why it matters

• Optimize the highest-leverage step in the journey: if Order #1 has both high volume and a strong rate, double down on first-order subscription conversion. If Order #2/#3 performs better, lean into post-purchase flows.
• Validate experiments and campaigns faster: use the trend chart to measure whether acquisition rate improves after launching new offers, updating the widget, changing incentives, or running targeted campaigns.