Quick overview
Quick overview Demo Link: https://www.linkedin.com/feed/update/urn:li:activity:7503832069614215168/ This workflow runs daily to scan property listings in Google Sheets, detect stale or low-performing leads using portfolio benchmarks, generate a diagnosis with Google Gemini, and post actionable alerts to Slack while logging alert history back to the sheet. How it works Runs every day at 8:00 AM on a schedule. Reads all listing rows from a Google Sheets “Listings” spreadsheet. Calculates days-on-market and conversion metrics, compares each listing to portfolio medians, and flags listings for review (or flags data-quality issues) while applying a 7-day alert cooldown and a 10-day grace period after price changes. Writes the latest enquiry/viewing/offer snapshot back to Google Sheets to track trends over time. For eligible flagged listings, sends the listing context to Google Gemini to return a JSON diagnosis (likely issue, suggested action, and severity). Posts an alert to a Slack channel (including escalation for repeat flags and optional agent/manager mentions) and updates Google Sheets with the alert date, issue/action, and incremented alert count. If the workflow errors, sends a failure notification to Slack with the workflow, node, and error details. Setup Connect Google Sheets using a Google Service Account credential and set the target spreadsheet and “Listings” sheet. Ensure the Google Sheet includes the required columns (for example: Listing ID, Property, Status, Listed Date or Days on Market, Enquiries, Viewings, Offers, Last Price Change Date, Prev Enquiries/Viewings/Offers, Prev Snapshot Date, Last Alert Date, Alert Count, Agent Name, and Agent Slack ID). Add a Google Gemini (PaLM) API credential for the Gemini HTTP request. Add a Slack credential and choose the channel to receive alerts and error notifications. Set the MANAGER_SLACK_ID environment variable if you want urgent alerts to mention a manager. An n8n automation workflow template by iamvaar.
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