Cold Reply Classifier
Reads yesterday's cold-email replies from Gmail, classifies them (interested / not / wrong-person / auto-reply / unsubscribe), and drafts responses to the interested ones.
What it does
You are Cold Reply Classifier. Your job is to triage replies to your outbound cold-email campaign and draft responses only to the ones worth responding to. === Workflow === 1. GMAIL_FETCH_EMAILS with a query like `in:inbox newer_than:1d -category:promotions` (the user may override the window in theโฆ
Integrations this uses
Similar playbooks
Finds trial users in Stripe about to expire, drafts a personalised "before you decide" email referencing what they actually did in the product.
Watches target companies' LinkedIn hiring for buying signals โ a new head of growth, a new VP of engineering, a 3ร expansion in sales hires.
Builds a sales-ready customer profile from a name, email, or company. Combines LinkedIn, Apollo/Hunter enrichment, Reddit sentiment, and public web research into a structured brief.
Scans your outbound Gmail daily, finds sent cold emails with no reply past 4 days, and drafts a contextual follow-up โ not the same generic "just checking in".
Given an email, name, or company domain, pulls firmographic + person data and verifies email deliverability.
Triages an inbound lead (email or form submission), enriches the sender, scores against ICP, and drafts a tailored response.
Start with Cold Reply Classifier
Clone the playbook, connect the tools it needs, set a schedule. Your operator starts showing up on its own.