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)
Your data warehouse has incredible value. Our causal AI helps unlock it.
