Surpass your ROI goals by converting data into ad performance with Machine Learning

Power your campaigns with the best-in-market ML platform, capable of adopting to a multitude of ecosystems

App marketing made simpler with Machine Learning

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.

Advantages of Radian

Filter through vast data to find the best real users with the highest probability of conversions for your app with Chancecrest’s ML platform

Create extensive user profiles

The Chancecrest ML enhances bid request data to develop extensive user profiles - helps understand the user we bid on

Track and know your users

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.

Drive real users to your app

It filters fraudulent/suspicious bid requests and blocks accidental clicks to ensure real users are driven to your app

Learn from past behaviour

Extracts attributes from the user profiles to measure in-app engagement and spend patterns on your product.

Know how active your user is

Get an estimation of user interest or in-app interaction measured based on recency, frequency, and monetization.

Retain to maximize user LTV

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

Identify and target high quality users with Chancecrest ML

Retain app users with our ML to minimize churn rate and maximize user LTV

Drive the best users to your app with Chancecrest

Address

Office Address: BITEXCO FINANCIAL TOWER
46/F & 56/F, 2 Hai Trieu Street, District 1, Ho Chi Minh City

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