Optimize your customer acquisition and retention for maximum lifetime value
Your data warehouse has incredible value. Our causal AI helps unlock it.
We are happy to be trusted by these amazing companies
Highlights
- 35%increase in ROAS
- 28%increase in ROAS
- 20%increase in ROAS
Our solutions
Fast and reliable LTV predictions are an essential building block for a ROAS focused user acquisition strategy. Our deep causal ML models ensure predictions that are accurate, and robust to drift and changes in environment, allowing you to:
- Directly optimize your user acquisition campaigns for what matters most by feeding our LTV predictions to Meta and Google
- Focus your ad spend on the campaigns that drive the most predicted LTV, and quickly switch off underperforming efforts
Retention is difficult to get right, but essential for long-term success. With our causal ML based treatment effect predictions, you can ensure that you're always giving the right treatment to the right customer at the right time:
- Predict churn before it happens, and more importantly, predict how to best counteract it
- Understand which incentives will work best at each step of your customer's journey
- Effectively retain customers and maximise their LTV
Connect with ease
Data Protection & Compliance
GDPR compliant
AICPA SOC 2 compliant
Testimonials
Progressive Engagement Model
01
01
Opportunity sizing
Invest 6 hours to onboard, we analyze your data and present growth potential. Proceed if results satisfy.
02
02
Impact validation
Run a full experiment to validate long-term ROAS with pLTV data. Proceed if results satisfy.
03
03
Double-digit returns
Every single client has found either double-digit incremental return on ad spend or minimise cost of acquisition
Get started now