When a user clicks a partner link on one device and converts on another, the system typically relies on persistent identifiers, logged-in sessions, or server-side attribution windows to reconcile activity. If tracking breaks due to cross-device loss, BMF.io may apply probabilistic matching or last-known-touch rules to assign credit fairly. Monitoring conversion logs and attribution gaps helps reveal where credit might be missed or duplicated. These signals act like behavioral heatmaps, showing where user journeys split. Improving this data flow ensures partners still receive accurate credit even when devices change mid-journey.