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Reduce Churn

Stop churn in its tracks

Spot risk earlier, build smarter save and win-back audiences, and update journeys as customers disengage or return.

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Lose fewer customers. Bring more back.

  • 01
    Stop preventable churn

    Reach customers before missed purchase windows, inactivity, or declining engagement turn into lost revenue.

  • 02
    Win back customers who went quiet

    Bring lapsed customers back with timely offers, reminders, or next steps based on where they left off.

  • 03
    Protect the relationships worth saving

    Focus retention effort on high-value customers whose behavior, status, or lifecycle stage signals risk.

  • 04
    Stop win-back waste

    Remove customers from win-back paths after they return, so retention stays relevant and spend stays focused.

Build retention around live risk and recovery signals.

Turn early warning signs into retention audiences that account for customer value, identity, and recovery behavior.

Predict churn risk: Predictive Audiences

Score customers against churn or inactivity goals using first-party signals such as declining sessions, missed purchase windows, or lower engagement.

Build retention and win-back audiences: Real-Time Audiences + Calculated Attributes

Define audiences from inactivity, lifecycle stage, subscription status, customer value, or your own churn score, then update eligibility as behavior changes.

Prioritize retention with customer context: Customer 360

Use value, status, lifecycle stage, and engagement history to decide which customers should receive a retention, win-back, or reactivation journey.

Resolve the customer behind the risk: Advanced Real-Time Identity

Connect identifiers across web, app, offline, and engagement channels, so churn and recovery signals stay tied to the right customer profile.

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With mParticle, we have a data-driven advantage in building strong brand loyalty and creating more valuable customer relationships. These powerful data insights give us the opportunity to convert unknown users to known loyalty members, and ultimately, high-value repeat customers.

Ryan Ostram

Chief Marketing Officer

“With mParticle, we have a data-driven advantage in building strong brand loyalty and creating more valuable customer relationships. These powerful data insights give us the opportunity to convert unknown users to known loyalty members, and ultimately, high-value repeat customers.”

Ryan Ostram

Chief Marketing Officer

Built for retention that responds in time.

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Built for retention that responds in time.

  • Move faster than the churn window

    Turn early warning signs into action while there is still time to protect the relationship.

  • Use budget more selectively

    Focus offers, incentives, and outreach on customers with the right mix of value, risk, and recovery potential.

  • Keep win-back relevant after recovery

    Automatically remove customers from re-engagement and win-back paths once they re-engage.

Questions, answered

How do you identify churn risk?

Predictive Audiences scores customers against a churn or inactivity action you define, using first-party behavior.

Can I use my own churn score?

Yes, if it's available as an attribute. You can also build one from first-party behavior with Predictive Audiences.

Does the audience update when a customer re-engages?

Yes. Audiences update as behavior changes, so a customer leaves the save journey when they come back.

Does this replace my email or messaging platform?

No. Your engagement platform sends the save and win-back messages. You predict risk and build the audiences; the platform sends.

See what’s possible with us.