Machine Learning Powered PPC Optimization: The Modern Methodology to Best-In-Class Bidding

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

Sponsored by QuanticMind
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.