Exceed Your ROI Goals with
Machine Learning (AI) Technology

Machine Learning for Mobile Advertising

Aarki uses proprietary data to build predictive machine learning models that forecast the probability of in-app events at an optimal acquisition price.

Models

Our Approach

We know that there is no “one size fits all” in mobile marketing. Our expertise across multiple app categories means we can find the best strategy for your particular campaign. We craft custom models to support your goals and then optimize those models across multiple key performance indicators (KPIs).

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

Click here to learn more about Aarki’s approach from our data scientists.

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Components of Machine Learning

Advanced Feature Engineering

Post-install Behavior

We extract features from the user profile to capture in-app engagement and spend. Then we correlate certain behaviors in one title to purchases in another.

Conversion Delay

We model the expected number of purchases and the time it will take the user to convert. We use incomplete install cohorts to model early stages of the purchase funnel.

Active User

We extract a measure of user interest or activity from the user profile and quantify based on recency, frequency and monetization.

Audience Attributes

We identify segments of users based on pre-lapsed activity and historical user behavior to inform model prediction.

App Embeddings

Using neural network embeddings we can define a similarity metric within the app space, allowing us to quantify how similar two apps are to each other.

Insights

How Leveraging ML Techniques Can Exceed Your App Marketing Goals

Aarki Machine Learning

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 ...

Contextual Creative Selection

Contextual-Creative-Selection-Header

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 ...

White Paper: Machine Learning for Mobile Advertising

ML_For_Mobile_Advertising_Whitepaper

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. ...

Exceed Your ROI Goals with Machine Learning (AI) Technology