Churn prediction
You find out at
the renewal.
That is the problem.
Usage-based health scores turn red after the customer has already decided. Statisfy reads the conversation instead, so the signal shows up around 30 days sooner than a usage-based score would catch it.
- 30 days
- Earlier warning than usage-based scoring
- +2 to 5%
- Net revenue retention uplift
- 2%+
- GRR improvement
Catching churn early at
See it flag your at-risk accounts
Bring a book of accounts. We will show you which ones the model flags, and why.
Request received
Our sales team will email you within one business day to confirm a time.
Or pick a slot nowThe window that decides it
Same account. Two different outcomes.
- Day 0
Signal appears
A stakeholder goes quiet on a call. Sentiment shifts. Usage is still flat, so no dashboard reacts.
- Day 30
Save play runs
Statisfy has already run the outreach and prepared the meeting brief and CRM update. Only a high-stakes account waits on a CSM.
- Day 60
Usage finally dips
This is where a usage-based health score notices. The decision to leave was made a month ago.
- Day 90
Renewal
Either you ran a save play 60 days ago, or you are having a very different conversation.
Most churn prevention software reads product usage, which is a lagging signal. Statisfy reads calls, email and Slack alongside usage and CRM, which is what makes customer health score software predictive rather than descriptive.
What it reads
Six signals, not one
- ✓ Sentiment shift on calls
- ✓ Champion or stakeholder change
- ✓ Unanswered email and Slack
- ✓ Support escalation pattern
- ✓ Product usage decline
- ✓ Quiet account, no reply
Every factor is visible and auditable, so the score holds up in a board review. That is the difference between a churn reduction platform and a black box.
What happens next
Prediction is not the product
The save-email, drafted
Written in your team's voice, grounded in the account's own history. Routine saves send themselves; high-stakes accounts escalate for a human to approve.
Renewal briefs, prepared
Renewal automation software that produces the brief at 60, 30 and 14 days out, per account.
Expansion flagged too
The same signals run both ways. Usage spikes and new stakeholders make it net revenue retention software, not a churn dashboard. Upsell automation saas teams use drafts that outreach as well.
Most reduce customer churn software and customer retention software saas teams abandon stops at the alert. Works to prevent smb churn too, where no CSM is assigned, and expansion revenue software signals surface on the same model.
Three roles. Infinite scale.
Each AI employee has a focused role, a clear scope of work, and one goal: make sure no customer falls through the cracks.
The AI CSM
A true digital replica of your best CSM
It shows up wherever your customers already are. It onboards, answers, and nudges every account, 24/7.
Configure
Give it a name, your playbooks, and the knowledge your best CSMs carry.
Engage
It reaches customers across email, portal, Slack, and in-app chat, everywhere they already are.
Scale
Onboard new customers, answer questions 24/7, and drive adoption and renewals.
One CSM, multiple surfaces
Proactive, usage-triggered nudges in your brand's voice
Branded Portal
A dedicated experience customers can return to any time
Slack
Answers and outreach in shared channels and DMs
In-App Chat
A branded popup & widget, right where customers already work
Integrations
Enterprise integrations. Connected in minutes.
CRM, support, analytics, notetakers, messaging, surveys — all your customer data in one place. Bidirectional sync keeps everything current.
Conversational Intelligence “Our GRR is up 2%+ in 2025 with Statisfy and their actionable customer health insights. The visibility we have now into account risk is night and day.” Deepak KumarChief Customer Officer, Observe.AI Read story → 
Identity Automation “Statisfy has been pivotal in helping our post-sales team identify and act on expansion signals to hit our NDR goals — and flag customers who are a churn risk.” Belsasar LepeCEO, Cerby Read story → 
Digital Experience Platform “Our previous CSP gave us lagging indicators. We wanted insights from actual outcomes and conversations — not assumptions. Statisfy changed that completely.” Benu AggarwalFounder & CEO, Milestone Inc. Read story → 
Employee Experience “What stands out most are the outcomes — better risk identification, a more efficient team, and the ability to surface customer insights to cross-functional teams who'd never had visibility before.” Jaibharat ValluriSVP Customer Experience, Simpplr Read story → 
Chaos Engineering “The sentiment analysis is genuinely different. For the first time we're catching customers who are quietly disengaging — bills paid, usage stable, but already deciding to leave. Statisfy sees it early.” David CoughlinCEO, Gremlin Read story → 
Data Privacy “Amazing platform allowing us to connect different systems to understand context and sentiment collectively — we now have a unified intelligence layer for our entire customer base.” Ari HoffmanCustomer Success, Skyflow Read story → FAQ
Churn prediction, answered
It scores each account's likelihood of leaving from the signals it can read. Most tools read product usage, support tickets, and survey responses, then apply a weighted formula or a model to produce a health score. Statisfy also reads calls, email, and Slack, so the score moves when sentiment or stakeholders change rather than waiting for usage to drop.
Comparing vendors? See the best churn prediction software in 2026 , 11 tools compared on the signals each one reads.
See which of your accounts it flags
20 minutes, your own book, no slides. If the model does not flag anything useful we will tell you that on the call.
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