PPC Bidding Optimization has come a long way over the years! The bid calculation process for at-scale SEM programs has tons of moving parts and can be intimidating.

QuanticMind's new Guide "Machine Learning Powered PPC Optimization: The Modern Methodology to Best-In-Class Bidding" explains the concepts and process to fully optimized PPC bid management in the modern landscape, using QuanticMind’s calculation stages as a model and exemplar.

The guide discusses how a platform can leverage the latest advances in Data Science–including machine learning algorithms, Bayesian modeling, predictive performance methodology, and natural language processing–to optimize SEM performance toward specific business goals.

There are six high-level steps:
  • Step 1: Estimate the Value of Each Keyword
  • Step 2: Understand Click and Cost Responses to CPC Changes
  • Step 3: Determine CPC that Maximizes Your Goal
  • Step 4: Calculate Bid Modifiers
  • Step 5: Anomaly Detection
  • Step 6: Bid Push
Complete the form to the right to download the guide!

Vital to driving mobile advertising success is the ability to leverage audience data across devices, then delivering a consistent experience to potential customers regardless of what device they’re using.

This paper will help you learn how to effectively identify your customers’ various devices, and then create campaigns for the mobile experience.

Download your copy of this informative guide to learn:

  • Understanding the role of mobile ad exchanges
  • How to leverage the popularity of mobile devices
  • 5 mobile advertising best practices, including: audience targeting, mobile creative optimization, and how to choose the right ad format


QuanticMind is the pioneer of predictive advertising management software for paid search. By reinventing ad management point solutions through machine learning, distributed cloud computing, and in-memory processing, QuanticMind delivers the most intelligent, scalable, and fastest platform for maximizing advertising performance for enterprises.