Infrastructure de données clients conçue pour s'adapter à votre activité
Rationalisez intelligemment le suivi de vos événements et connectez les données de vos clients directement à votre entrepôt de données dans le cloud et à d'autres applications marketing, tout en protégeant la qualité et la gouvernance des données en transit.
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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.
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.
Built to make lifecycle growth repeatable.
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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
Predictive Audiences scores customers against a churn or inactivity action you define, using first-party behavior.
Yes, if it's available as an attribute. You can also build one from first-party behavior with Predictive Audiences.
Yes. Audiences update as behavior changes, so a customer leaves the save journey when they come back.
No. Your engagement platform sends the save and win-back messages. You predict risk and build the audiences; the platform sends.