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Intempt

Spot churn risk before customers leave.

Choose the event that means churn for you, score every profile, and let the score trigger the save.

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User retention rate trend with at-risk user count
G2
0.0on G2
10B+events
500M+users
7+years profitable
50+enterprises

Know who needs attention.

Pick the event that means churn in your product and a model learns to predict it.

  • Choose the event that counts as churn for you
  • Score every profile over a window you set
  • Read it off product behavior rather than a support ticket
Know who needs attention

Act before customers drift away.

The score becomes a targeting condition, and the condition starts the journey.

  • Use the score like any other filter
  • Trigger the moment someone enters the segment
  • Match the message to how bad the risk is
Act before customers drift away

Help customers discover what is new.

Find everyone who has not touched the new feature and reach them where the feature is.

  • Pull non-adopters from the same profile
  • Show a tooltip on the feature or a nudge in the flow
  • Follow up by email if the in-product prompt misses
Help customers discover what is new

Connect adoption to retention.

Tie feature usage to whether those people came back.

  • Group retention by day, week, or month
  • Compare adopters against everyone else
  • Report one number instead of two dashboards
Connect adoption to retention

Focus your effort where it matters.

Score recency, frequency, and spend so the save list is ordered by value.

  • Combine recency, frequency, and spend in one score
  • Run it on people or on whole accounts
  • Start with the accounts that matter
Focus your effort where it matters

Find the people who never got value.

Someone who stalled in week one churns quietly, and the same profile shows you who they are.

  • Spot people who never reached first value
  • Separate a stall from a cancel
  • Hand them to activation instead of a win-back
Find the people who never got value

SaaS churn benchmarks (2026)

SegmentHealthy monthly logo churn
Enterpriseunder 0.5%
Mid-market0.5-1.5%
SMB / prosumer2-4%

Anchor on 3.5% monthly. That is the median B2B SaaS logo churn, and it is the one number to hold your own against. The other published figures bracket it rather than argue with it: Recurly’s July 2026 data puts SaaS total monthly churn a little lower at 3.22%, and the $500-$5,000 ACV band runs higher at about 4.1% monthly, which annualizes to roughly 39%. If you sell in that ACV band, read 4.1% as your version of the same anchor.

The split changes what you do about it. Of the 3.5% median, roughly 2.6% is voluntary and 0.8% involuntary. Recurly’s 3.22% splits the same way, 2.16% voluntary and 1.06% involuntary, so the ratio holds even where the totals differ. Failed payments alone are 20-40% of all churn.

Those are two different problems. Voluntary churn is a product and value problem you fix with behavioral intervention. Involuntary churn is a billing problem you fix with dunning and card updaters. Averaging them into one number is why most retention programs work on the wrong half.

Either half, the save still has to be a send the customer agreed to. Consent sits on the same profile as the churn score, recorded per channel, so a win-back push never goes to someone who only opted into email. Revoke it and the marketing sends stop in real time, with transactional mail untouched.

Sources: Recurly churn benchmarks (July 2026) · Artisan Growth Strategies 2026 (500+ companies) · CRV SaaS churn benchmarks for investors 2026.

Explore more ways Intempt drives revenue.

Connected outcomes across the platform.

RFM tiers, churn risk and a journey triggered when the tier changes

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

Frequently askedquestions.

Score the risk, build the audience, run the save, then measure what changed.

  • No, deliberately. You pick the event that means churn in your product and a model learns to predict that. A canned score has to guess what churn means for you, and it means something different in every product.
Intempt Marketing

Know who is leaving while you can act.

Connect your product and billing data. Churn scores and at-risk segments are live in the same session, and the save journey fires the moment someone crosses your threshold. Suppression keeps a save campaign from costing you deliverability.

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