Case Study
BigQuery + n8n Intelligence Engine
Problem
Businesses using Zoho CRM struggle to act on consolidated customer data in BigQuery — lifecycle signals like "ready to buy" or "getting cold" exist but never trigger timely, personalized outreach across channels.
Approach
This solution concept demonstrates how n8n connects to BigQuery views to read both customer lifecycle tags and pre-generated prompts, then dynamically executes multi-step workflows per contact. Each BigQuery row carries personalized instructions — message content, frequency, channel sequence — enabling unique workflow generation for every contact. Integrations include VAPI for AI voice calls, WhatsApp Business API, email, and Zoho CRM webhooks for real-time exclusion triggers.
Results
- •Dynamic per-contact workflow generation from BigQuery view data
- •Real-time lifecycle response: leads turning cold receive targeted re-engagement sequences
- •Seamless webhook-based exclusion: booked meetings automatically remove contacts from active workflows
- •Scalable architecture connecting BigQuery, n8n, VAPI, WhatsApp, and Zoho in a unified automation layer
This is a solution concept based on a real market need. We can build and deploy this architecture for your CRM environment.