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CHURN-BASED
BIDDING 

Predict user churn and allocate ad spend smarter with churn scores integrated into our bidder.

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CHURN-BASED
BIDDING 

Predict user churn and allocate ad spend smarter with churn scores integrated into our bidder.
Website-Churn Prediction Bidding-Header-2

WHY CHURN-based bidding

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SMARTER BUDGET
ALLOCATION

Avoid overspending on users likely to return organically and prioritize those who need intervention.

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IMPROVED BID PRICE
ACCURACY

Integrate churn scores into our bidder to drive up to 20% better accuracy in bid decisions. 

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INCREMENTAL
ROAS GAINS 

Maximize ROAS through intelligent budget reallocation, validated by internal tests.

monthly churn scorecard

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Get access to your Churn Scorecard and assess:

Adikteev-Rebranding-Icons-Bullet point-White  How your users interact with your app

Adikteev-Rebranding-Icons-Bullet point-White  When they might stop using it

Adikteev-Rebranding-Icons-Bullet point-White  Revenue impact in the next 30 days

OUR CHURN MODEL

   With 85% prediction accuracy based on AUC ROC score

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Integrates multiple data sources to analyse your app user behaviour. 

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Calculates churn probabilities for each user using  predictive AI. 

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Adjusts bid prices dynamically using churn scores for optimal allocation.

OUR CHURN MODEL

   With 85% prediction accuracy based on AUC ROC score

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.