


The leading silent churn detection and prevention platform for African companies. Detect behavioral signals, identify friction, and prevent customers from leaving without warning. Built for Nigeria, Kenya, South Africa, Ghana, Egypt and beyond.

The African tech ecosystem is growing rapidly, but silent churn remains the #1 revenue killer for startups and scale-ups
African companies lose 35% of customers silently without feedback or cancellation
Most African startups lack real-time visibility into customer health and engagement patterns
Silent churn costs African companies millions in recoverable revenue annually
We understand the unique challenges of African companies. Our platform is purpose-built for your needs.
Native support for Naira (β¦), Kenyan Shilling (KSh), Rand (R), Cedi (β΅), and all major African currencies. Track churn risk across different pricing models.
Detect declining engagement, friction points, and silent churn indicators before customers leave. AI-powered predictions trained on African user behavior patterns.
Watch exactly how customers interact with your product. Identify friction in payment flows, onboarding, and key features across African markets.
Get instant notifications when customers show signs of silent churn. Proactive engagement before they leave without warning.
From Lagos to Cape Town, Nairobi to Cairo - we're detecting silent churn across Africa
Get started in minutes and start detecting silent churn immediately
Add one line of code to your app. Works with any African tech stack. 2-minute setup.
Our AI analyzes user engagement patterns, session frequency, and interaction depth across your African customer base.
Get instant notifications when customers show silent churn signals. Slack, email, or SMS alerts.
Engage at-risk customers proactively. Session replay shows exactly where they struggled. Fix friction before they leave.
Detect when users abandon payment flows or stop transacting
Monitor checkout friction and cart abandonment patterns
Track student engagement and course completion signals
Identify when patients stop using health apps or services
Monitor shipper engagement and booking frequency drops
Detect declining usage across team members and features
Track employee engagement tool usage patterns
Monitor app opens, session length, and feature adoption