Definition
Reply classification
Sorting incoming replies into a fixed set of outcomes, such as interested or not interested, so the sequence and the team react correctly.
Reply classification is the step between a message arriving and anyone acting on it: deciding what kind of answer it is. A small, fixed set of classes is enough for outbound: interested, maybe later, not interested, autoreply or out of office, bounce, unsubscribe request, and other. Each class implies a different next action, from booking a call to removing the address to doing nothing at all.
It matters because a reply is where the sequence has to stop and a human has to start, and at any volume the sorting is the bottleneck. Left unsorted, positive replies wait in the same pile as vacation notices, follow-ups keep going to people who have said no, and the numbers you report mix human answers with machine ones. Sorted, the inbox becomes a work queue in priority order and the statistics start to mean something. Classification also feeds the CRM: a note that says “not interested, budget frozen until next year” is worth more than a raw reply.
In Seegnals every incoming reply is classified automatically into those seven classes. A classified reply stops the sequence for that person, the stats show Responded and Interested separately, and CRM sync pushes the reply with its class into the CRM as a note or activity. One click reclassifies a mistake.