When you understand the Customer Journey, you unlock strategies that your organization needs to target new and existing customers. How do new customers convert? How does this differ from existing customers?
In Learning Lab 26, you learn how to understand the Customer Journey using an innovative approach:
1. Path Splitting - Time-series data manipulation strategies to segment customer conversion paths, the sequence of events leading to a transaction.
2. dtplyr (Big Data) - The data.table backend for dplyr operations. Get a 3X speed improvement versus dplyr.
3. XGBoost for Customer Journey Scoring - Machine Learning applied to score the probability of a path conversion. BRAND NEW - No one else is implementing this technique. Unlock it in Lab 26.
Follow along with our 1-hr 30-minute code lesson using real Google Analytics Data.