Logistic Regression | Machine learning


We use algorithms that are based on Logistic Regression. Simply put; a LR algorithm uses past and present learning’s to optimize and reach (performance) goals. The technology is a form of Machine Learning, however; in a guarded environment.

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Logistic Regression

Artificial Intelligence Optimizing Your Campaigns

Targetoo leverages algorithms built on Logistic Regression principles, widely recognized as one of the most effective forms of machine learning for programmatic advertising. Logistic Regression enables predictive, data-driven optimization - continuously learning from campaign results and adjusting in real time to improve performance.

 
Logistic Regression

Logistic Regression

How it works 

A Logistic Regression-based algorithm learns from historical campaign data to continuously enhance performance. While a campaign is live, the model evaluates and rebalances hundreds of variables - including location, device, publisher, time, operating system, ad size, and demographic data - to predict which combinations drive conversions.

Because performance can hinge on subtle and unexpected variable interactions, manual optimization quickly becomes impractical. Logistic Regression provides the autonomous learning and statistical precision required for true programmatic optimization.

 
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In programmatic mobile advertising, the number of influencing factors is exceptionally high - making Logistic Regression essential.

At Targetoo, we believe Logistic Regression–based algorithms represent the most capable and reliable optimization technology available in programmatic display advertising today.

See an in-depth outlay and approach of Logistic Regression.

Download our latest whitepaper about logistic regression.

 

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