Aarki uses proprietary data to build predictive machine learning models that forecast the probability of in-app events at an optimal acquisition price.
Ensemble models
Optimizing to multiple KPIs per advertiser
Leverage custom models per app and category learnings to find the best mix for performance
Traditional and dynamic lookalikes
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Learn MoreComponents of Machine Learning
Advanced Feature Engineering
There is no “one size fits all” in marketing. Aarki builds custom retargeting models for each campaign, using in-app activity data gathered before a user lapses, which is used to forecast user conversion and post engagement activity.
There is no “one size fits all” in marketing. Aarki builds custom retargeting models for each campaign, using in-app activity data gathered before a user lapses, which is used to ...We continue the blog series that we believe will give you a clear understanding on how Aarki finds ways to fully understand, test, and optimize creative ads to ensure that targeted users see the best possible variant. Read on for insights on contextual creative selection.
We continue the blog series that we believe will give you a clear understanding on how Aarki finds ways to fully understand, test, and optimize creative ads to ensure that ...With the global increase of mobile and internet penetration and the growing number of apps installed on mobile devices, a vast amount of data is available for mobile marketers. Through Machine Learning (ML) powered advertising platforms, marketers are now able to use Machine Learning to leverage data effectively and connect with their target audience. But what does ML really mean for mobile advertising?
With the global increase of mobile and internet penetration and the growing number of apps installed on mobile devices, a vast amount of data is available for mobile marketers. ...Copyright 2020-21. | Aarki, Inc. All rights reserved. † AARKI is a trademark registered in the U.S. Patent and Trademark Office.
Copyright 2019-20. | Aarki, Inc. All rights reserved. † AARKI is a trademark registered in the U.S. Patent and Trademark Office.