agent followed up with 'just bumping this' to a lead who replied 'please remove me' - reply detection missed the...

TL;DR

Opt-out detection must run before everything else in the reply pipeline and it must default to suppression on uncertainty. Add an explicit opt-out intent check as the first classifier stage, wire hits straight to the suppression list, and retro-audit the last 30 days of replies for phrases your old classifier missed.

agent followed up with 'just bumping this' to a lead who replied 'please remove me' - reply detection missed the opt-out intent

Steps

1. Pull the actual offending reply and the classifier's output for it. Confirm the miss: the reply said "please remove me" and the classifier labeled it a generic reply or objection.

Expected: a concrete example of the gap, not a theory.

1. Add an opt-out intent detector as the FIRST stage of reply classification, before sentiment or objection handling. Seed it with explicit phrases: remove me, unsubscribe, stop emailing, do not contact, take me off, opt out, and common misspellings.

Expected: known opt-out phrasings classify correctly on the first pass.

1. Route opt-out hits to suppression immediately: add the address to the suppression list, cancel all scheduled follow-ups for that lead, and log the suppression event with the reply id.

Expected: no further sends to that lead from any sequence.

1. For ambiguous replies ("not interested right now" vs "remove me forever"), default to suppression and flag for human review. A false suppression costs one lead; a false follow-up costs legal exposure.

Expected: the classifier errs toward the safe side by design.

1. Retro-audit: run the new detector over the last 30 days of stored replies. Any hit that was not suppressed at the time gets suppressed now, and the leads get an apology-free quiet close (no new email, just stop).

Expected: past misses are cleaned up, not just future ones.

Use this when

• A follow-up went out after an opt-out request
• Reply classification handles objections but has no dedicated opt-out stage
• You need to audit whether past replies contained missed opt-outs

Not for this skill when

• The reply was an out-of-office auto-response (different detector)
• The reply was a bounce notification (different detector)
• The lead is opting out on one channel but reachable on another (channel-level suppression rules)
• The problem is the unsubscribe link itself being broken (fix the link target)

Variant phrasings

• "reply detection missed 'please remove me', agent sent a follow-up"
• "opt-out intent not detected, lead got bumped after unsubscribing"
• "agent classified an unsubscribe request as an objection"

Why it happens

Reply classifiers are usually trained or prompted for sales outcomes: positive, objection, question, referral. Opt-out is a compliance category, not a sales category, so it was never a first-class label. The reply fell through to a generic "engaged" bucket and the follow-up logic did exactly what it was told with the wrong label.

Edge cases

• Opt-outs phrased as questions ("can you take me off your list?") or wrapped in politeness ("thanks, but please remove me") still count. Pattern-match intent, not exact strings.
• A lead may opt out in a forwarded thread or CC someone new. Suppress every address that appears in an opt-out reply, not just the sender.
• Legal timelines vary by jurisdiction, but the safe engineering default is immediate suppression, not a grace period.
• If the same lead re-engages later through an inbound form, that is a new consent event. Log it explicitly rather than silently un-suppressing.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstlhryRwR4vKqqln3eCy84w