Churn reduction for growth teams
Reduce churn before the cancel click.
Pick the event that means churn for you, score every customer on live behavior, and the save journey starts on its own.
- Behavior scores
- Save journeys
- Exit rules
- Logins
- ↓ 68%
- Boards viewed
- 3 vs 21
- Teammates active
- 2 of 9
Churn risk74%
Crossed your 60% threshold2s ago
Save journey
Need a hand?Step 1 · email sent
Exit rule
risk < 40%Armed
- 7+
- years profitable,and counting
- rating on G2
- 4.5
- events processed
- 10B+
- user profiles
- 500M+
- enterprise customers
- 50+
StockInvest
“Acquisition and retention finally feel like one connected motion instead of two separate problems.”
Jim StrombergCEO, StockInvest FieldsUSA
“We finally have one system that sees the whole customer journey.”
Eric GardnerCOO, FieldsUSA Hoperfy
“With Intempt, we built a signal-led pipeline driven by real behaviors.”
Tadas KertenisCo-founder, Hoperfy
Your save offer comes too late to work.
Today most teams find out at the cancel screen, where the only lever left is a discount that trims the margin you saved.
Scoring churn risk from last week’s product use
Reading product use from the last 7 days…
Data Analyst agent
Scoring churn risk on every event.
- Customers scored12,480
- Risk rose today96
- Crossed 60% today18
Risk rising+52 pts in 3 weeks
Lina OrtizKestrel Studio
3 weeks ago · 22%today · 74%
Save journey starts at 60%
Churn riskLive
All accounts- Lina OrtizLogins ↓ 68% · 3 boards viewedMediumHigh74%
- Arjun PatelTimeline view · never openedMedium63%
- Sofia RossiSeats removed · 3 this weekMedium58%
- Jonah ReyesLogins steady · 14 boards viewedLow31%
- Maya ChenLogins ↑ 12% · 9 of 9 teammates activeLow6%
- Priya NairScoring
Three levers
Three ways to reduce customer churn.
Save at-risk customers before they cancel, lead non-adopters to what they’re missing, and focus on the ones worth most.
01 · At-risk
Save customers while they’re still drifting
The churn score becomes a filter, so a save journey starts the moment someone crosses your threshold, matched to the risk.
- Pick the event that counts as churn for you.
- Messages scale with how high the risk is.
- The save starts when they enter the segment.
- Scores update from live product behavior.
Risk tiers · 12,480 customers scoredMoves with live product use
- High1,1409.1%
- Medium2,31018.5%
- Low9,03072.4%
Message by riskLow risk gets no save message
- HighPersonal email from CSMCall offer
- MediumTips emailIn-app guide
What changes
Six things you stop doing at the cancel page.
Data Analyst agentModel trained
- Churn eventSubscription Cancelled
- Signals learned46
- Refreshevery event
0data scientists staffedNot needed
Building a churn model
You pick the event and a model learns to predict it, so no data scientist has to build or maintain a churn model.
23days earlierthan the first support ticket
Risk flaggedFirst ticket
Day 0 · crossed 60%Day 23
Waiting for support tickets
Scores read product behavior as it happens, so you spot a drifting customer long before they ever open a ticket.
- Churn risk ≥ 60%At-riskAudience · +18 today1,486Save journeyStarted
Handing lists to a CS team
A score moves someone into an audience and the audience starts the journey, so it runs at whatever size your list is.
- Weeks before
- Tips email4 wk
- Feature tour3 wk
- CSM call2 wk
- Right-size plan1 wk
Cancel screenCancel plan?
Before you go…
20% offfor 3 months
Cancel anyway
Discounting at the last minute
Acting while customers drift gives you more levers than the cancel screen, where a discount is all that’s left.
- 0CSV exportUpload to email toolScoreSaveSame place
Exporting cohorts to act on
Scoring and saving happen in one place, so you never export an at-risk cohort into another tool to act on it.
CS platformper account$10,700/yr
One profileLina OrtizIncluded
Churn scores74%
SegmentsAt-risk
Save journeysStep 1
Paying for a CS platform
Scores, segments and save journeys share one profile, so you skip a customer success platform priced per account.
The difference
The save starts
weeks before the cancel.
| Before | After |
|---|---|
| You find out a customer is leaving when they click the cancel button. | A churn score flags them weeks earlier, from how they use your product. |
| Your CS tool hands someone a list, and it waits in their inbox for days. | The score moves them into a segment, and the save journey starts itself. |
| A generic churn score guesses what churn means for your business. | You pick the event that means churn, and the model learns that one. |
| You can’t tell which save play actually kept your customers around. | Retention by week shows which save plays kept your customers around. |
| Everyone at risk gets the same discount, whatever they’re worth to you. | The save list is ordered by value, so top accounts get attention first. |
The offer
What saving customers costs the old way.
This is what a typical team pays when the CS platform, the churn model and the tool that sends each save are bought apart.
The old way
$17,900/yr
Year one, three CS seats and 5,000 profiles.
Intempt
$49
per seat a month
- Email platform3$100/mo
- Custom churn model2$6,000
- CS platform1$10,700/yr
The old way
$49 · per seat a month
Intempt
Built in
Save journeysThe retention stack you were about to buy
- A churn score you define.
- Save journeys that run alone.
- Save lists ordered by value.
- Retention by day, week, month.
Runs on its own
The CS manager you were about to hire
Lifecycle Marketer agent
Runs each save journey.
Data Analyst agent
Keeps churn scores fresh.
AI Attributes
Stores each churn score.
Retention
Shows who came back.
- 1Vendr data via ChurnTools and Gaintrace (2026). ChurnZero Professional for three users has a median of about $10,700 a year.
- 2Fast Data Science, Reforge (2026). Custom churn prediction models typically take 20-40 hrs of data science consulting at $100-250/hr ($2,000-10,000); this uses $6,000.
- 3Customer.io pricing (eesel AI, Encharge, 2026). The Essentials plan is $100/mo for up to 5,000 profiles.
Control
You decide what churn means here.
You choose the churn event, the risk threshold and the exit rules, and every save journey runs inside the rules you set.
- churn event
- Subscription Cancelled
- window
- 7 days
- start at
- 60% risk
- exit below
- 40% risk
Your event, not a canned one
No churn score ships out of the box, so the model learns what churn means in your product, not someone else’s.
Thresholds you set
Choose the risk level that starts a save, and match each message to how high that risk has climbed for them.
Exit rules for every journey
Set what pulls someone out of a running journey, so a save never lands on top of an upsell they’re getting.
Deliverability protected
Suppression keeps a big save campaign from hurting your sender score, so every other campaign still lands.
Integrations
Wired into the tools your team already uses.
JavaScript
Apache Kafka
Slack
Stripe
Amazon S3
Twilio
Gmail
iOS
SendGrid
Webhooks
Node.js
Google Calendar
Go deeper
Two more ways to keep customers longer.
One page grows the value of every customer tier, and the other brings back signups who stalled before getting value.
Maya ChenMeridian · 14th order · just nowTier up
Predicted LTV$2,840Value tierLoyalChampions20% off · not sentVIP early accessJourney startedVIP homepageLive for ChampionsJob 01
Customer LTV
Score every customer by value and give each tier its own journey, offer and site experience, without blanket discounts.
See how LTV tiers workTom BeckerBluefin Labs · Signed up 6 days agoStalled
No progress in 5 days
Activation journeyTom Becker · Bluefin LabsStarted 2s ago
Finish your setupSMSPush
Home screen changes on return
Job 02
User Activation
Find everyone who stalled before activating, reach them by email, SMS or push, and change what they see when they return.
See how activation works
The products underneath
Each one reads the same customer profile
- AI AttributesWhere each churn score lives on the profile, learned from the event you picked as churn in your product.
- JourneysWhere every save journey is built, starting the moment a customer crosses the risk threshold you set.
- RetentionWhere you see who came back by day, week or month, with adopters compared against everyone else.
Frequently asked questions
Straight answers about reducing churn, churn rates, churn prediction and how Intempt starts every save on its own.
Ready when you are
Know who’s leavingwhile you can act.
Connect your product and billing data, and churn scores and at-risk segments go live in the same session you set them up.
Connect your AI to your customer data
$ claude mcp add intempt -- npx -y @intempt-technologies/mcp


