BIDDING
Predict user churn and allocate ad spend smarter with churn scores integrated into our bidder.
BIDDING
Predict user churn and allocate ad spend smarter with churn scores integrated into our bidder.
WHY CHURN-based bidding
SMARTER BUDGET
ALLOCATION
Avoid overspending on users likely to return organically and prioritize those who need intervention.
IMPROVED BID PRICE
ACCURACY
Integrate churn scores into our bidder to drive up to 20% better accuracy in bid decisions.
INCREMENTAL
ROAS GAINS
Maximize ROAS through intelligent budget reallocation, validated by internal tests.
monthly churn scorecard
Get access to your Churn Scorecard and assess:
How your users interact with your app
When they might stop using it
Revenue impact in the next 30 days
OUR CHURN MODEL
With 85% prediction accuracy based on AUC ROC score
Integrates multiple data sources to analyse your app user behaviour.
Calculates churn probabilities for each user using predictive AI.
Adjusts bid prices dynamically using churn scores for optimal allocation.
FAQ
HOW ACCURATE IS YOUR CHURN PREDICTION MODEL?
Our churn prediction model achieves an ROC AUC score above 0.85, indicating excellent accuracy. The ROC AUC score ranges from 0 to 1, with 0.7 considered good and 0.9 outstanding. This ensures our model reliably predicts which users are likely to churn or stay.
WHAT DO YOU NEED FROM YOUR CLIENTS HERE?
Before integrating the churn score in our bidding model, clients share their organic in-app events to activate the churn data stream from their MMP.
WHAT DOES DYNAMICALLY ADJUSTING BIDS BASED ON USERS MEAN?
Dynamically adjusting bids means our model uses real-time churn scores to set bid amounts. For users likely to return organically, bids are reduced, while higher bids are placed on users at risk of churning but with engagement potential. This ensures budget efficiency and better ROAS outcomes.
SOLVE THE USER CHURN PUZZLE
Predict which users are likely to leave your app for good and keep them.