Churn Risk Predictor

Churn Risk Predictor enables you to proactively identify accounts at risk of cancellation before it’s too late. Using historical churn data and real-time customer health indicators, the app delivers risk scores with explainable factors — then maps those insights to high-impact, CRM-ready retention actions.

What is Churn Risk Predictor?

This tool applies advanced pattern recognition and behavioral modeling to:

• Flag early warning signs of disengagement
• Assign probability-based churn risk scores by account
• Explain exactly why an account is at risk (not just that it is)
• Recommend targeted interventions proven to reduce churn

You get clear, actionable outputs that integrate directly into your customer success or sales workflow — no fluff, just data-driven retention.

Why use this app?

• 🚨 Proactive Saves
  Intervene early with data-backed timing, before customers silently drift away.

• 🔎 Explainable AI
  Understand exactly which behaviors and signals drive the churn risk — from usage dips to NPS drops — with full transparency.

• ⚙️ Playbook Integration
  Automatically feed recommended "save plays" into your CRM (like Salesforce or HubSpot) or CS tools (like Gainsight or Catalyst).

• 📊 Segment-Level Visibility
  Identify trends across customer cohorts and use those insights to fine-tune lifecycle strategy.

How it works

1. Upload churn history
   Provide data on canceled accounts, usage, support, and engagement metrics.

2. Define prediction horizon
   Choose how far in advance (e.g. 30, 60, 90 days) you want risk assessments.

3. Generate risk reports + actions
   Receive prioritized risk scores with mapped interventions — formatted for your CRM.

What you'll need to provide

To generate useful predictions and actions, prepare the following:

• Historical churn dataset (e.g., account data, cancellation records, behavioral metrics)
• Predictive window (how many days ahead you want to forecast)
• Optional:
  • Customer health metrics (usage, NPS, CSAT, support tickets, contract size, etc.)
  • Preferred actions (e.g., playbooks your team already uses)
  • CRM/CS tool (for integration-ready output)

Who it's for

• SaaS teams with recurring revenue models
• Customer success orgs seeking early warning systems
• RevOps leaders responsible for retention KPIs
• Product-led growth companies tracking usage-based churn