Ad Click Prediction ML System Design

Introduction:

Hook: Start with a compelling statement or statistic about ad click prediction (e.g., Did you know 98% of online ads go unnoticed? Predicting the clicks is the key to revolutionizing AdTech).

Overview:In today’s digital world, online advertising plays a pivotal role in driving revenue and engaging users.

Predicting whether a user will click on an ad is a fundamental challenge in AdTech, directly influencing campaign success, user satisfaction, and platform profitability.

With billions of ad requests processed daily, building an efficient Ad Click Prediction System requires leveraging advanced machine learning techniques to make real-time, data-driven decisions.

What to Expect: In this article, we’ll explore the problem statement, key metrics, and design requirements for building an Ad Click Prediction System

1.Problem Statement and Metrics for ad click Prediction

Goal: The goal is to predict whether a user will click on an ad using historical and contextual data?

Importance: optimizing revenue, improving user experience

Scope: Discuss how this system integrates into AdTech and the larger ecosystem (e.g., recommendation engines or…