RiseIQ turns your BigCommerce order history into personalized, revenue-driving recommendations — no data science team required.

Behind the scenes, RiseIQ analyzes your store's real purchase patterns to predict customer lifetime value, flag at-risk customers before they churn, and identify exactly when a repeat customer is due to reorder. That intelligence powers a set of storefront widgets you can activate with a single click, right from the app — no theme code, no developer needed:

▎ Frequently Bought Together on product pages, based on real co-purchase data

▎ Customers Like You Also Bought, personalized per logged-in shopper

▎ Time to Restock reminders, timed to each customer's actual reorder cycle

▎ Suggested Adds on the cart page, matched against the shopper's full cart

Every widget is styled to inherit your active theme's own card layout and typography, so it looks like a native part of your storefront rather than a bolted-on app.

Your data refreshes automatically every night — no manual syncing. A built-in Value Tracker dashboard shows the real, measurable impact over time: average order value, reorder cycle time, churn risk, and customer lifetime value, compared against your baseline before RiseIQ.