Snowflake Intelligence in Action: Predicting Customer Churn

Snowflake Intelligence in Action: Predicting Customer Churn

AI & Machine Learning
AI Agents & Chatbots
Forecasting & Prediction
Snowflake

Detect early churn signals hidden in structured and unstructured data.

Powered by Snowflake Intelligence, the Customer Churn Predictor uncovers early warning signs hidden in your data, so customer success teams can take action before revenue loss. Watch the demo to see how it works and why and why sales and customer success teams love its proactive approach to churn prevention.

The Hidden Problem

Churn Signals You Can’t See

Customer success teams are sitting on a goldmine of insights, but much of it is locked away in unstructured data. Support tickets, meeting notes, and emails often contain subtle red flags that point to dissatisfaction or disengagement.

The challenge? These clues are nearly impossible to spot at scale. Without a clear signal, teams are forced to react after problems surface. By then, it’s too late. Renewals are lost, and valuable customers quietly churn without warning.

The Solution

Spotting Churn Before It Happens

The Customer Churn Predictor, built on Snowflake Intelligence, Cortex Analyst, and Cortex Agents, transforms churn prevention from reactive to predictive.

Together, these capabilities automatically surface non-obvious churn signals, generate risk briefings, and empower customer success teams to act decisively—long before a renewal is at risk.

The Impact

From Firefighting to Foresight

With the Customer Churn Predictor, teams gain a 360° AI-driven view of customer health. Instead of reacting to churn, they can predict and prevent it. Churn prevention stops being a fire drill and becomes a strategic advantage.

Join OneSix & Snowflake for a Live Demo

Join us as Cody walks through the Customer Churn Predictor solution live during Snowflake’s upcoming Virtual Hands-On Lab: “Voice of the Customer w/ AISQL & Snowflake Intelligence.”

November 20, 2025

11:00 AM ET

Virtual

Written by

Cody Dirks, Sr. AI & ML Lead

Published

November 12, 2025