Reduce customer churn with predictive intelligence

Don't wait for customers to churn. Identify at-risk users instantly with predictive AI and intervene with personalized cross-channel journeys that reignite loyalty and drive long-term retention.
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Predict churn with AI precision

Leverage churn prevention intelligence powered by machine learning to analyze user behavior patterns. Automatically flag high-risk customers and trigger preemptive retention campaigns that address their specific needs before they churn.

Master lifecycle stages with Audience Pulse

Go beyond basic demographics. Use Recency, Frequency, and Monetary (RFM) analysis to group users into lifecycle stages based on churn risk. Effective churn prevention starts with targeting customers with messages that match their current engagement level.

Unify experiences to prevent drop-offs

Create a continuous safety net across app, web, email, SMS, and mobile wallet. Retarget at-risk users on their preferred channels to ensure no customer falls through the cracks and reduce churn effectively.

Automate feedback collection to prevent churn

Trigger native in-app and website surveys the moment engagement drops. Capture critical feedback to understand why customers leave, then automatically route dissatisfied users to support or retention offers — a key capability of modern churn prevention software.

See how leading brands reduce churn

24%
boost in GasBuddy's daily active users on days they sent a notification with Airship
3x
retention rate after Shell used Airship's real-time notifications and in-app automation, growing their active user base by 3.5x

Proven ways brands stop churn

The Shell app is the centerpiece of our customers’ mobility experience… With Airship’s real-time notifications and in-app automation, we’ve increased our retention rate 3x and grown our active user base by 3.5x.

Joseph Brooks
Head of Product

Since moving to Airship’s no-code native app experiences… we now get as many customer survey responses in a day as we used to receive in a month.

Laurent Claramonte
Head of Data Analytics for Products and Mobile Apps