From Analytics to Action: How we Personalize Outreach With AI
The text discusses a three-step process that utilizes AI to transform raw website analytics into actionable marketing insights. Firstly, it involves automated page categorization using Census GPT Columns based on specific keywords present in the content of each URL. Secondly, it builds an activity dataset through a SQL query which transforms individual page views into meaningful patterns. Lastly, it identifies primary interests by analyzing these patterns. The insights gathered are then used to enroll prospects in relevant sequences based on their actual interests, resulting in targeted content that matches each prospect's demonstrated interests instead of generic marketing messages.
Company
Census
Date published
Nov. 14, 2024
Author(s)
Julie Beynon
Word count
764
Language
English
Hacker News points
None found.