Reducing Customer Churn with Predictive Insights

Industry

EdTech SaaS

Location

Stockholm, Sweden

Size

75 Employees

Size

75 Employees

Solution

AI Predictive Analytics Platform

The Challenge

EduCore struggled with rising churn but lacked visibility into user engagement patterns. At-risk accounts were often identified too late.

“Churn felt reactive. We didn’t see it coming,” Lars said.

Growth plateaued despite steady acquisition.

The Approach

EduCore implemented predictive analytics to score engagement risk and trigger proactive outreach workflows.

Key initiatives included:

  • Behavioral tracking integration

  • AI churn prediction models

  • Automated retention campaigns

  • Engagement dashboards for success teams

Within one quarter, intervention became proactive instead of reactive.

The Results

Customer retention improved and expansion revenue increased.

“For the first time, we act before customers leave.”

  • 22% reduction in churn

  • 3x improvement in early-risk detection

  • 26% increase in expansion revenue

  • Proactive lifecycle management

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We were hiring constantly just to keep up with repetitive tickets. Automation finally gave us breathing room and made support scalable.

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