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

  1. 35%increase in ROAS
  2. 28%increase in ROAS
  3. 20%increase in ROAS

Our solutions

01Acquire the best possible new customers

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
02Maximize the LTV of your existing customers

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

Databricks
Athena
Maxcompute (Alibaba Cloud)
Snowflake
Tiktok
Meta
Braze
Redshift
AppLovin
BigQuery
Google Ads

Data Protection & Compliance

GDPR compliant
GDPR compliant
AICPA SOC 2 compliant
AICPA SOC 2 compliant

Testimonials

Increase in ROAS
+28%
Increase in incremental purchases
+31%

The key to success is to identify potential high-value customers swiftly and channel marketing budgets towards acquiring them. Our partnership with Churney was crucial in fueling Meta’s machine-learning algorithm with pLTV values.

René Tingskov

Media & MarTech Manager

Increase in ROAS
+23%
More subscribers
+32%

By optimising our campaign for the predicted lifetime value event, we were able to attract higher-value users, provide better signals to Meta’s algorithm, and increase our return on ad spend.

Cantug Sugun

Marketing Team Lead

increase in 3-month ROAS
+11.5%
Increase in month 3 retention
+18%

Implementing Churney’s predictive LTV model has been a game-changer for our user acquisition strategy. By identifying high-potential subscribers early, we’ve not only increased the lifetime value of our customers but also significantly improved retention rates and overall campaign performance.

Tom Blackshire

Director of Organic & Paid

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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
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