reply-analyzer

Automated reply classification processes reply text to determine sentiment and intent, extracting questions, objections, and timeline signals to recommend sales actions and CRM updates. It requires an agency.config.json file at the project root with outreach settings.

Reply classification operates across email, LinkedIn, and Instagram channels, extracting objections, questions, people mentioned, and timeline signals. These extracted signals feed CRM updates and recommend follow-up actions for sales playbooks.

Automating CRM stage updates involves classifying inbound reply sentiment and intent to trigger appropriate sales playbook actions. The skill processes inputs like reply_text, from_name, company, and lead_context to recommend specific CRM stage transitions.

To set up outreach sentiment classification, configure an agency.config.json file at your project root with outreach settings. You then provide inputs such as reply_text, from_email, channel, and lead_context to generate sentiment classifications and CRM actions.

Yes, reply sentiment classification works for lead outreach across email, LinkedIn, and Instagram. It processes reply text and lead context to identify potential referrals and recommend appropriate follow-up actions for your sales pipeline.