Echurn is an AI-powered customer retention platform designed to reduce churn and increase customer lifetime value. It uses machine learning to analyze behavioral, transactional, and engagement data, predicting which users are most likely to leave. Based on these insights, the platform triggers automated retention workflows�think personalized emails, discounts, product tips, or loyalty nudges. Echurn enables teams to segment users by churn probability, create targeted engagement flows, and track campaign ROI in real-time. It�s built to support marketing, customer success, and product teams in boosting retention metrics with minimal manual effort.
Performance Score
A
Content/Output Quality
Smart, Real-Time Retention Campaigns
Interface
Intuitive Dashboard + Workflow Builder
AI Technology
- Predictive Modeling
- NLP
- User Segmentation AI
- ML Scoring
Purpose of Tool
Predict and reduce churn using automated retention strategies
Compatibility
Web-Based; CRM + Email Integrations Available
Pricing
Free demo + Custom pricing based on usage
Who is Best for Using Echurn?
- SaaS companies: Battling churn across monthly or annual subscription plans.
- E-commerce brands: Improving repeat purchase behavior through automation.
- Mobile app developers: Analyzing usage drop-offs and reactivation strategies.
- Customer success teams: Running proactive engagement campaigns.
- Growth marketers: Optimizing LTV without scaling acquisition spend.
Churn Prediction Engine
User Segmentation by Risk Profile
Automated Retention Workflows
Multi-Channel Engagement (Email, In-App, Push)
ROI & Retention Analytics
Behavior-Based Campaign Triggers
A/B Testing for Retention Flows
Custom Event Tracking
Integrations with CRM and CDP Tools
Is Echurn Free?
Echurn is not free, but offers a free demo or consultation to showcase its value. Pricing is customized based on monthly active users, integrations, and features required.
Echurn Pros & Cons
Predicts churn before it happens using smart behavioral models.
Automates retention across key communication channels.
Easy-to-build workflows for marketers�no code needed.
Helps reduce CAC dependency by improving LTV.
Offers granular segmentation and ROI tracking per campaign.
No transparent pricing�requires a demo request.
Not ideal for companies with very small user bases.
Full impact takes time�requires integration and event data.
Limited offline use; platform is cloud-native.
Some advanced ML features may need technical setup.
