Power your campaigns with the best-in-market ML platform, capable of adopting to a multitude of ecosystems
Chancecrest’s predictive Machine Learning model is created using unbiased historical proprietary data to find the best users for your app and estimate the likelihood of their actions to serve them the most suitable ads at the most relevant time to drive post-install engagement. In a dynamic app ecosystem, our unbiased ML learns to adapt to changing app ecosystems and discovers new horizons of performance.
Filter through vast data to find the best real users with the highest probability of conversions for your app with Chancecrest’s ML platform
The Chancecrest ML enhances bid request data to develop extensive user profiles - helps understand the user we bid on
Our ML levels your daily ad budget so that you can track all users all through the day to understand the user’s in-app behaviour.
It filters fraudulent/suspicious bid requests and blocks accidental clicks to ensure real users are driven to your app
Extracts attributes from the user profiles to measure in-app engagement and spend patterns on your product.
Get an estimation of user interest or in-app interaction measured based on recency, frequency, and monetization.
Our ML segments audiences based on pre-lapsed activity and past user behaviour to retarget previously active and loyal users to reactivate and retain high quality users
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