Churn prediction

Smart, Scalable, Simple

Predict who’s about to leave — and why

With Orbital, detect churn before it happens, understand what drives it, and take action — no code, no guesswork.

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Churn happens quietly — Until it hurts

Retention is cheaper than acquisition — but hard without signals.

When you rely only on historical reports, you’re always too late.

Most companies track churn after it happens. But by then, it's too late to react. Analysts often lack the tools to surface early signals — or the time to explore why customers disengage. As a result, retention strategies arrive too late and cost more.

Churn is only measured retrospectively

Analysts lack tools to build predictive models

Behavior signals buried in product/CRM data

No way to explain or act on churn drivers

High acquisition cost = expensive customer loss

Churn prediction in minutes, not months

With Orbital, any analyst can launch explainable ML and act fast.

Turn your usage and CRM data into churn intelligence — instantly.

Orbital lets business teams detect churn early using machine learning — no need for data scientists or manual modeling. In just a few clicks, you identify at-risk users, uncover the behaviors that predict churn, and take action with clarity and speed.

Predict churn automatically from your usage or CRM data

Understand the key variables that drive disengagement

Segment your customers by churn risk and behavior

Share results with product, CX, or revenue teams instantly

Take action early — where it actually matters

See how it work

From Idea to Implementation, in 1 day with an AI-Powered agent

Import historical data

Upload a user behavior file or connect a live data source like your CRM or product database. Orbital detects your structure and prepares the data — no prep needed.

In this case our historical data is file of 7,000 + rows of customers and 21 columns, or 20 features columns and one column churn yes/no

Clean and transform your data

Detect and clean missing values, inconsistent formats and outliers.
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Orbital cleans your data and enriches it with derived variables (frequency, recency, tenure, etc.) to boost prediction quality — no SQL, no preprocessing scripts.

Analyse and understand your data

Use Orbital’s AI Agent to ask questions like “What behavior predicts cancellation?” or “Who hasn't logged in this month?”.

Explore patterns, correlations, and segments without SQL or pivot tables.

Predict churn with explainable AI

Orbital trains a churn model, surfaces high-risk users, and ranks the most important drivers.

Everything is fully explainable — and ready to act on.

Build your own dashboard and activate insight

Export churn-prone users, trigger campaigns, or share dashboards with marketing, product, or CX — all from one interface.