---
title: "Predictive modelling: LTV and churn prediction"
description: "Who is about to leave? The AI watches order frequency and login habits; a monthly buyer silent for 45 days moves to the 'at risk' segment and a personal outreac"
canonical: https://automataai.hu/en/workflows/data-analytics/churn-ltv-prediction
language: en
publisher: Automata AI
updated: 2026-09-19
---

# Predictive modelling: LTV and churn prediction

Category: Data processing, spreadsheets, databases and analytics


Who is about to leave? The AI watches order frequency and login habits; a monthly buyer silent for 45 days moves to the 'at risk' segment and a personal outreach task goes to sales. RFM segmentation (recency, frequency, monetary) finds the top 10% most valuable customers and dedicates VIP offers and loyalty discounts to them automatically.

## How it works

1. Behavioural monitoring
2. At-risk segment and outreach task
3. RFM-based VIP programme

Tools: Supabase, Claude, HubSpot

Source: AI Automation Market Report and Practical Guide (2025–2026)