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Intempt

Catch users about to churn before they hit the cancel button

By the time someone clicks "cancel," the decision was made weeks ago. You need to spot the signs earlier.

JourneysSaaSAdvanced7 steps7 outputs
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What it does

Uses behavioral signals to score churn risk in real time. Low-risk users get value content. Medium-risk get re-engagement nudges. High-risk trigger a CSM alert and a save sequence.

You get

Churn risk scoring

tiered intervention journey

CSM alerts

retention measurement dashboard

How it works

1

Compute Churn Risk

create_ai_attribute

Define an AI-derived churn_risk_score attribute using engagement decline, support ticket sentiment, and feature-usage signals.

Produces:Attribute
2

Segment At Risk

Create Segment

Segment users into low/medium/high churn-risk buckets.

Produces:Segment
3

Build Csm Workflow

Create Workflow

Create a workflow alerting CSMs when high-risk users cross the threshold, with context payload to Slack.

Produces:Workflow
4

Build Content

Generate Content

Generate re-engagement content: win-back-feature emails, success-story emails, value-reminder emails.

Produces:Content Asset
5

Build Journey

Create Journey

Build a journey for medium-risk users with auto-engagement before CSM intervention is needed.

Produces:Journey
6

Build Retention Report

build_retention_report

Compose a retention report tracking churn rate by risk tier and intervention type.

Produces:Report
7

Build Dashboard

Build Dashboard

Compose a dashboard showing risk distribution, intervention success rate, and net retention impact.

Produces:Dashboard

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Catch users about to churn before they hit the cancel button | Intempt Recipe