Harness the power of causal machine learning to treat i) the right customer ii) with the right treatment iii) at the right time.
Improve the LTV of your existing customers by optimally targeting your retention, win-back, upsell, and cross-sell efforts. Go beyond just predicting churn - predict the best actions to prevent it and maximize Customer Lifetime Value.
Imagine offering a discount to prevent churn, only to find that it backfires - some customers who would have stayed leave instead. Not all retention efforts have the desired effect.
The key risk is targeting users who churn if treated but would have remained otherwise. Even well-intended incentives can inadvertently remind customers to leave.
Churney ensures retention campaigns focus only on the right users - those who stay because of the offer - eliminating wasted spend and reducing unintended churn.
01
Churn Prediction Alone Isn’t Enough
Traditional churn models show who might leave but not why or which interventions will work. Without causal insights, retention efforts risk being ineffective or even harmful.
02
Causal ML Targeting
By combining online learning and causal machine learning, Churney predicts not just churn risk but also the best approach for each customer.
03
Works With Your Tools
It connects with your existing platforms to improve retention without added complexity.
A/B tests help evaluate retention campaigns, but they don’t ensure personalized, effective interventions.
With individual treatment effect predictions, they become a foundation for an adaptive strategy - targeting only the customers who will truly benefit.
Using cutting-edge causal and deep learning methods, Churney helps you build a catalog of retention treatments, match each customer to the right intervention at the right time, and optimize their entire lifecycle.
Impact? A provable, dramatically improved Lifetime Value.
You won't have to learn to use a new tool, just let causal machine learning superpower your existing way of working.
We integrate directly with leading customer engagement platforms such as Braze and Customer.io, ensuring that you can deliver your treatments like you already do, only powered by causal machine learning.
We enable you to experiment faster, succeed more often, and deliver greater returns on investment for your retention campaigns.
Traditional churn prediction models tell you who is at risk of leaving but don’t help you determine which actions will actually keep them. Churney goes a step further by using causal machine learning to predict which retention strategies will work for each customer. Instead of treating all at-risk users the same, Churney ensures you only intervene when it’s likely to make a difference - maximizing impact while avoiding unnecessary discounts or ineffective retention efforts.
↳ How we do it / TBA.svg)
Churney can help you personalize a wide range of retention interventions—including discounts, win‑back emails, feature nudges, early access offers, reminders, and upsell prompts. We focus on causal impact—meaning we only recommend an intervention if the data shows it will make a real difference for that specific customer.
↳ How we do it / TBAWe typically need historical event data—such as product usage, purchase history, email/message interactions, and other behavioral signals. We don't need any raw PII. Identifiers like emails or phone numbers are hashed or excluded, ensuring GDPR-safe setup from day one. The data handling is identical to the one in the customer acquisition.
↳ How we do it / TBAWe rely on individual-level A/B testing to measure true lift. Churney integrates with platforms like Klaviyo, Braze, and Customer.io, whose native experimentation systems are robust enough to support this. We track how users exposed to a treatment differ from a statistically identical control group, then model the incremental effect on retention or lifetime value.
↳ How we do it / TBAWe support Klaviyo, Braze, and Customer.io natively. That means you can send treatments directly from the tools you already use—with no complicated middleware. Our models determine who to treat, and your engagement platform delivers the message.
↳ How we do it / TBAYour data warehouse has incredible value. Our causal AI helps unlock it.
