How does NavonaAI detect when a shopper is about to abandon their cart?
NavonaAI reads real-time behavioral signals on desktop and mobile to predict cart abandonment while the shopper is still on your store, then intervenes before they leave.
NavonaAI watches real-time behavioral signals as a shopper browses and predicts when they're about to leave with items in their cart — then shows a one-time offer before they go. Unlike post-purchase recovery emails, detection happens on-site, in the moment, which is the only point where you can still change the outcome of that visit.
Signals, not guesswork
Abandonment shows up as patterns in how someone interacts with the page. The system starts from proven best-practice signals and improves over time: the more data it sees for your store, the sharper the detection gets. We don't publicly disclose the exact algorithm, but the principle is simple — it's looking for the behavioral fingerprint of a shopper who's about to bail, not a fixed rule.
It works on mobile too
A common myth is that you can only detect exit intent on desktop (via cursor movement toward the browser bar). In reality, mobile shoppers show equally clear abandonment signals — and mobile is where most sales happen: 78.6% of orders through NavonaAI come from mobile. Detection adapts to the device rather than relying on desktop-only cursor tracking.
What happens when abandonment is predicted
When the model decides a shopper is likely abandoning, NavonaAI presents a personalized, one-time discount that applies instantly to their cart. The shopper can complete checkout in a click — no email capture, and the offer is tied to that visit so it carries real urgency.
During the first ~30 days on a new store, NavonaAI leans on heuristic signals while it learns your store's unique visitor patterns, then accuracy improves as it collects more data.
Related
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Troubleshooting
Solutions to common issues with NavonaAI popup delivery, discounts, and dashboard analytics.