Boost Sales with Daily Slack Lead Digest via PeakAI

Transform your morning lead review process with this powerful n8n workflow that automatically delivers enriched lead intelligence straight to your Slack channel. Every day at 9am, your sales team receives a complete digest of yesterday's new leads, enhanced with contact details from PeakAI and ready for immediate action.

What this workflow does

This automated lead digest workflow streamlines your daily sales routine through five key steps:

• Triggers daily at 09:00 to capture overnight lead activity
• Reads all leads from your designated Google Sheets database
• Filters and identifies leads created within the last 24 hours
• Enriches each LinkedIn URL using PeakAI to extract work email addresses and phone numbers
• Aggregates enriched lead data into a clean, formatted Slack message posted to your #leads channel

Use cases

Perfect for sales and go-to-market teams conducting daily lead reviews, this workflow eliminates manual lead processing. Founders benefit from instant "cold start" briefings each morning, while teams using Google Sheets as lightweight lead intake gain automated daily summaries. Sales development representatives can immediately prioritize and action qualified leads without manual data enrichment tasks.

Technical details

Built using essential n8n nodes including Google Sheets integration, Slack messaging, filter logic, and data aggregation capabilities. The workflow leverages the n8n-nodes-peak-ai community node for LinkedIn profile enrichment. Required Google Sheets columns include linkedinUrl, name, source, createdAt, workEmail, and phone for optimal functionality.

Setup requirements

Quick 5-minute setup requires installing the n8n-nodes-peak-ai community node and creating a free PeakAI account at thepeakai.com. Configure credentials for PeakAI, Google Sheets, and Slack, then customize your sheet ID and Slack channel ID. The workflow runs approximately 3 PeakAI credits per new lead, with free credits available for testing. Schedule timing is fully customizable through the trigger node configuration.