My team and I wrote a two part blog on the product we have been working on for the past couple of releases (Behavior Scoring for Pardot Einstein) and published it in the Salesforce Engineering blog.
Here’s a quick summary of our blog, which you can read directly using links below.
- Machine Learning Driven Sales and Marketing for Everyone with Einstein Behavior Scoring (Part 1)
- Machine Learning Driven Sales and Marketing for Everyone with Einstein Behavior Scoring (Part 2)
In this series we will show you under the hood of the machine learning pipelines that power Einstein Behavior Score, a key feature of Pardot Einstein that helps marketers understand when prospects are ready to buy. We will describe our modeling approaches and share our journey on interpretable models to earn the trust of our customers by providing actionable insights with our predictions. Additionally, we will also describe how we generate scores and insights for all customers through a model tournament, so that enterprises and small businesses alike can benefit from our machine learning products. Finally, we will give you a glimpse into the architecture that powers these predictions for our customers and our monitoring pipelines to ensure our models are performant in production.