Churnly Reviews, Pricing, Features & Alternatives in 2026
Churnly is a predictive analytics platform that uses artificial intelligence to identify customers at risk of leaving and uncovers expansion opportunities to protect your recurring revenue.
Churnly helps you stop customer churn before it happens by using artificial intelligence to analyze your subscription data. Instead of reacting to cancellations after they occur, you can see exactly which customers are showing signs of disengagement. The platform connects directly to your billing and CRM systems to build a predictive model tailored to your specific business health and customer behavior patterns.
You can use these insights to prioritize your customer success efforts and focus on the accounts that need immediate attention. Beyond just preventing losses, the software identifies which customers are most likely to upgrade, helping you grow your expansion revenue. It is designed specifically for B2S SaaS companies that need to scale their retention strategies without adding massive headcount to their success teams.
Screenshots & Interface
Dashboard View
Main dashboard with project overview
Kanban Board
Kanban-style task management
Timeline View
Gantt chart timeline view
Automations
Workflow automation builder
Key Features
Stop guessing which customers are unhappy and start using data to drive your retention strategy. Churnly provides the visibility you need to act decisively and keep your subscribers longer with these core capabilities:
Predictive Churn Scoring
Identify high-risk customers automatically with AI-driven scores that update in real-time based on their actual behavior.
Expansion Opportunity Alerts
Get notified when a customer shows signs of being ready for an upgrade so you can strike while the iron is hot.
Automated Data Sync
Connect your billing platforms and CRMs to pull in historical data without manual entry or complex spreadsheet exports.
Health Monitoring
Track the overall health of your entire customer base through a centralized dashboard that highlights trends and anomalies.
Segment Analysis
Group your customers by behavior or demographic to understand which specific cohorts are most likely to churn or grow.
Actionable Insights
Receive specific recommendations on why a customer is at risk so you can tailor your outreach to their exact problem.
Integrations
Stripe
Salesforce
HubSpot
Recurly
Chargebee
Segment
Intercom
Zendesk
Pricing Plans
Churnly uses a custom pricing model tailored to your specific data volume and business needs. While they do not list fixed monthly tiers, you can request a personalized quote to see how the platform fits your budget. This ensures you only pay for the level of predictive power and data processing your company actually requires.
Pros & Cons
Based on product documentation and market positioning for predictive analytics tools, here is what you should consider when evaluating Churnly for your team:
Pros
AI models are customized to your specific business data
Identifies expansion opportunities as well as churn risks
Integrates directly with popular billing tools like Stripe
Focuses on actionable insights rather than just raw data
Cons
Pricing is not transparent on the official website
Requires significant historical data for accurate predictions
Limited public user reviews compared to larger competitors
Who Should Use Churnly?
Ideal for B2B SaaS companies with high volumes of subscription data who need to automate churn prediction and identify expansion opportunities.
Best for Company Sizes
small-business
mid-market
enterprise
Popular Industries
Our Verdict
Churnly is a strong contender if you are a subscription-based business struggling to stay ahead of customer cancellations. Its focus on using AI to provide a 'why' behind the churn risk makes it more useful than simple health-scoring tools that rely on manual input.
While the lack of transparent pricing means you'll need to jump on a sales call, the potential ROI from saving just a few high-value accounts often covers the cost. Consider this if you have a solid data set and want to move from reactive support to proactive customer success.
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