Markin monitors usage patterns, billing events, support history, and engagement signals to identify which customers are heading toward cancellation, and how much time you have to act.
including:
Real-time churn propensity score for every subscriber, updated continuously
Disengagement dips, billing failures, and support escalations detected as triggers
Predictive models trained on your own historical churn patterns
Risk ranked by revenue exposure, not just churn probability
Intervention Engine
Markin doesn't send a generic retention email to everyone at risk. It designs an individually optimized intervention for each customer, the right action, the right message, the right channel, at the right moment.
including:
Intervention type selection across save offers, personal outreach, and feature education
Discount depth modeling: only what's necessary to retain each customer
Message and channel selection based on engagement and communication history
Intervention sequencing for customers who don't respond on first contact
-34%
Involuntary churn
4.1x
Higher retention on AI-timed interventions vs. scheduled campaigns
Real-time
Proactive risk scoring for every subscriber, updated continuously
Track churn by segment, product, and cohort. Markin gives your team a live view of retention health across the base and shows exactly which actions are preventing revenue loss.
including:
Live churn dashboards by segment, product tier, and tenure cohort
Month-over-month retention tracking with full attribution by intervention type
Performance breakdown by save offer, channel, and customer risk profile
Forecasting based on current churn exposure in the active pipeline
Retention Execution
When a churn signal fires, Markin executes across email, SMS, push, and in-app without waiting for a campaign cycle or a manual escalation step. At enterprise scale, for every at-risk subscriber simultaneously.
including:
Autonomous retention execution across all channels, no campaign build required
Guardrails for discount caps, offer limits, and intervention frequency
Full audit trail of every save action taken and its outcome
Native integrations with Salesforce, Klaviyo, Stripe, and others
common questions
Everything you need to know about Churn Prevention with Markin.
Markin detects at-risk customers and intervenes automatically, at the moment it still makes a difference.
How early can Markin detect a customer at risk of churning?
Markin detects churn signals weeks before cancellation. It monitors behavioral patterns like engagement drops, billing friction, and support escalations in real time, not in batch, so you act while there's still a window.
Does Markin work for both voluntary and involuntary churn?
Yes. For voluntary churn, Markin triggers personalized retention interventions. For involuntary churn (failed payments, billing issues), it automates card recovery flows and payment retries to reduce revenue loss from friction.
Does Markin replace our CS or retention team?
No. Markin handles the scale and timing that humans can't, identifying and acting on thousands of at-risk customers simultaneously. Your team focuses on the complex, high-value cases that require a human touch.
How long until we see measurable churn reduction?
Most customers see a measurable improvement in monthly churn rate within the first 60–90 days. Results depend on base size, data quality, and the intervention catalog available at the start of the engagement.
Can we control which interventions the AI can trigger?
Yes. You define the approved playbook, save offer types, maximum discount levels, channel restrictions, and contact frequency caps. Markin operates autonomously within those guardrails with full visibility at all times.
Is customer data secure and GDPR-compliant?
Markin is GDPR-compliant and never trains AI models on your customer data. All data is encrypted in transit and at rest, with enterprise-grade access controls and full audit trails.
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