Seleqt automatically reads each conversation thread and classifies it for you — Interested, Objection, Out of Office, and more. This turns a noisy inbox into a sorted, prioritized view so you can act on the replies that matter and skip the ones that don't.
As replies come in, Seleqt analyzes the thread and assigns a classification automatically. No manual tagging required. Common classifications include Interested, Objection, and Out of Office.
These classifications also feed into your lead scoring. Qualification columns contribute to a lead's score, and conversation classification adds to it on top of that — for example, a prospect classified as Interested earns additional points. The result is a score that reflects both who the lead is and how they're actually responding.
Use filters in your inbox to focus on a single classification at a time. Filter to Interested to work only your warmest replies, or filter out Out of Office to clear those from view entirely. This lets you move through inbound responses quickly instead of scanning every thread.
You can sort conversations by lead score to surface your highest-priority leads first. Because qualification columns and conversation classification both feed the score, sorting this way stacks every signal together — you see the strongest opportunities at the top.
From a conversation, generate a reply with AI. Seleqt pulls in the context of the thread to draft a relevant response, then you click send. It's a fast way to clear through interested replies without writing each message from scratch.
Seleqt builds a pipeline for you automatically based on these classifications. Prospects classified as Interested land in the Interested pipeline, and as their status changes, they move through the pipeline on their own.
You can also create your own pipelines and add custom columns for whatever stages you need. The classification-based pipeline is created for you by default — your custom ones live alongside it.
