Introduction to Segmentation, Predictive Scoring & Syndication - Arm Treasure Data Hands On Webinar
The problem with lead prioritization is that the faster you respond to a potential customer, the more likely they are to convert. A CDP with cross-channel data collection, segmentation, syndication, and machine learning can enhance predictive lead scoring power and campaign execution.
This is a hands-on webinar where we will leverage the data ingested from both the Arm Treasure Data Javascript SDK and other data sources to build segments of clients based on attributes and behaviors.
Then we will leverage the predictive scoring engine built into Treasure Data to analyze the segments and identify the segments with the greatest likelihood of a positive outcome, finally syndicating that data out through Treasure Data into final delivery endpoints. The machine learning within Treasure Data allows for smarter segment targeting.
Start of hands on predictive scoring walkthrough (15:06)
How to create a segment (19:24)
How to create syndication for a segment (21:49)
How to use predictive lead scoring (24:24). In Treasure Data, machine learning runs behind the scenes to train scoring models. All you need is an all customer segment and a segment of users who have converted in an event.
Viewing predictive scoring dashboard and the breakdown of lead scores (26:29)
Creating a segment based on predictive lead scores (29:15)
Explaining new batch segment vs. new realtime segment (30:38)
Using Google Optimize to create a real-time experience for users (33:45)