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Intempt

Score churn risk before it shows up as a cancellation

Most churn prevention starts too late, after the user has already decided. This scores risk with AI, alerts the CSM, and fires re-engagement while there's still time to change the outcome.

Marketingjourney-builderSaaSAdvanced7 steps7 outputs
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Attribute Segment Workflow Content Asset Journey Report Dashboard
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What it does

Runs AI-derived churn risk scoring, alerts CSMs on at-risk accounts, fires automated re-engagement, and measures retention outcomes.

You get

AI-scored churn risk with CSM alerts and automated re-engagement

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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In the words of50+ live tenants.

Jim Stromberg, CEO at StockInvest

“We were losing visitors before they signed up. Intempt's personalized experiences changed that - we started meeting people where they were instead of guessing. Once they're in, Intempt's automated email takes over and keeps the relationship moving. Acquisition and retention finally feel like one connected motion instead of two separate problems.”

Jim Stromberg

CEO, StockInvest

Eric Gardner, COO at FieldsUSA

“Intempt helped us turn real browsing and purchase signals into personalized experiences that drive repeat buying. We finally have one system that sees the whole customer journey.”

Eric Gardner

COO, FieldsUSA

Tadas Kertenis, Co-founder at Hoperfy

“With Intempt, we built a signal-led pipeline driven by real behaviors. Follow-ups are triggered by intent signals instead of timelines, so we only focus on users who are truly engaging.”

Tadas Kertenis

Co-founder, Hoperfy

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