Ad platforms only see a fraction of your customers’ true value. Churney changes that.
Ad platforms can only optimize towards conversions that happen within the optimization window. However, your customers' true value often unfolds months later.
We allow you to predict each customer's Lifetime Value - fully anonymized and privacy-safe - and send this as a conversion event to your ad platforms.
Results? Smart(er) Bidding. Higher ROAS. Higher Volume.
If you're doing conversion or value optimization the standard way, you're leaving business performance behind.
Optimizing towards predicted LTV (pLTV) is the next-generation of bidding, and we're bringing it to life.
If your customers' short term value isn't strongly correlated with their long-term value.
We built a (free!) tool to help you evaluate whether pLTV is a good fit for your business.
Using your own data, it uncovers how revenue patterns evolve over time and quantifies the impact of shifting to a pLTV-driven acquisition strategy.
Make the business case - in just 30 minutes.
01
Privacy-Safe Data Processing
We work directly with your data warehouse, ensuring you maintain full control over what’s shared. Our approach is fully anonymized and privacy-safe, stripping out personally identifiable information (PII) while keeping the predictive power of your data intact.
02
Advanced Machine Learning
Our models analyze your historical data to predict each customer’s future revenue (pLTV). The technical robustness of our models ensure that they automatically adapt to changes in your product and customer behavior.
03
Direct Integration with Ad Platforms
We send the conversion events directly to your ad platforms, improving your bidding at lightning speed.
Churney helped us move past short-term signals and tap into our users' real long-term value.
"Churney has improved our advertising efficiency. By optimizing for predicted long-term value, we increased ROAS by 33% while gaining scale. The impact was so clear that we’ve now rolled out Churney’s conversion action across our Google account. Beyond that, Churney has enabled us to launch and scale new product categories that we couldn’t advertise before. It’s transformed the way we approach growth."
"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."
“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.”
“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. We will pursue this strategy for future campaigns.”
"Churney’s value is really embedded into the core of our business. It's not a single dashboard that is occasionally accessed. Every person in management, marketing, and other teams access their own relevant dashboard based on Churney’s decision engine outputs to make data-driven decisions."
Advertisers using Churney typically experience a 10-50% improvement in ROAS within 60 to 90 days.
Our minimum benchmark for success is a 10% ROAS uplift (e.g. taking your ROAS from 300% to 330%), though the majority of clients see significantly better results.
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Churney’s onboarding takes 10 days. After that, we launch an A/B test/experiment between Churney's pLTV conversion event and your business as usual conversion. In order to be able to see Churney's impact in the long term ROAS, experiments typically run for 60-120 days, depending on your own data and customer behaviour. After this time, we will be able to determine the incremental ROAS Churney managed to bring to your business.
↳ Onboarding step-by-step
Historical transactions, user behavior, marketing interactions, and product usage patterns. The model focuses on understanding long-term value by analyzing revenue and usage events beyond the initial conversion, adapting to customer behavior changes over time. To maintain privacy and compliance, personally identifiable information (PII) is excluded or hashed before processing.
↳ Essential Data Guide
Churney integrates seamlessly with advertising platforms using server-side APIs. For Meta, we utilize the Conversion API (CAPI) for both web and app advertisers. For Google, we use the Google Ads Conversion API for web advertisers and the Measurement Protocol (GA4) for app advertisers. We also natively support MMP integrations. We are both Google and Meta Partners.
The setup is tailored to each company's needs and ensures accurate and real-time data transmission for optimized bidding.
Most in-house LTV models operate at the cohort level, aggregating customer data to estimate average Lifetime Value across groups. While useful for reporting and business decisions, these models lack the granularity needed for real-time bidding decisions. In contrast, Churney’s user-level predicted LTV (pLTV) models are designed specifically for acquisition, assigning an individualized future value to each user hours after each conversion. This enables ad platforms to optimize bidding dynamically based on each customer's true value for the business.
↳ Read more about it it here
Your data warehouse has incredible value. Our causal AI helps unlock it.
