Predict customer churn with AI analysis of HubSpot and Google Sheets data

Automatically identifies at-risk customers by analyzing HubSpot deals, Google Sheets usage data, and support ticket sentiment to predict churn.

workflowcrm

by PollupAIon n8n

Nodes

Triggers

Platform

n8n

Tech Stack

HubSpot

AI Agent

OpenAI

Google Sheets

Markdown

How It Works

This workflow continuously monitors customer health by consolidating CRM data from HubSpot with usage metrics from Google Sheets. It uses AI to analyze sentiment scores, deal age, and usage trends against predefined thresholds to automatically alert teams about customers at risk of churning.

Fetch deals from HubSpot

Retrieves all active deals and customer data from your HubSpot CRM to begin the analysis process.

Collect usage data from Google Sheets

Gathers customer feature usage metrics and support ticket information stored in your Google Sheets tracking system.

Analyze sentiment from support tickets

Processes support ticket content using AI to generate sentiment scores that indicate customer satisfaction levels.

Calculate customer health score

Combines sentiment analysis results with usage data to create a comprehensive customer health score.

Attached Files

workflow.json