Predict customer churn before it happens. AI-powered health scoring keeps your at-risk customers engaged and revenue stable.
ML models trained on millions of customer behaviors predict churn with 87% accuracy. Catch problems weeks before customers leave.
Every customer interaction updates their health score. React instantly to changes instead of working with stale dashboards.
Not just scores. Get specific recommendations for each customer: which feature to highlight, what support to proactive offer.
Syncs with Salesforce, HubSpot, Pipedrive in minutes. Health scores appear in your existing workflows without extra tools.
Define what healthy looks like for your business. Usage frequency, NPS, support tickets, feature adoption - weight them however you choose.
CS managers see all at-risk accounts at a glance. Sales reps know when to upsell. Finance sees LTV impact in real time.
Link your CRM, product analytics, billing system. Health Scorer ingests historical behavior automatically.
Specify which metrics matter most: login frequency, feature adoption, support sentiment, expansion revenue. Our team helps calibrate.
Every customer gets a health score (0-100) plus risk level. Scores update in real-time. Automated alerts notify your team of threats.
Use recommended actions to engage at-risk customers. Watch win rates improve as you get more precise about who needs what.
Up to 5,000 customers
Up to 25,000 customers
Unlimited customers
Most customers see actionable scores within 48 hours of connecting their data. Full model calibration takes 2-4 weeks.
We can backfill up to 2 years of data from your CRM and analytics platform. For early-stage SaaS, we use a simplified baseline model.
Typical accuracy is 85-92% depending on data quality and cohort size. We provide calibration reports monthly.
Yes. You define up to 50 custom metrics. Our algorithm weights them to predict your specific churn patterns.
No. We analyze it in your data warehouse or via API. You keep full control. SOC 2 certified.
Typical onboarding is 1 week. Our team handles CRM mapping and metric definition.
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