Company
Date Published
Author
Maya Sykes
Word count
990
Language
English
Hacker News points
None

Summary

A company uses Visitor Auto Messages (VAMs) to capture more leads by tailoring their messages to specific visitors based on criteria such as company size, website behaviors, and demographics. By personalizing these auto-messages, the company aims to increase engagement and conversion rates. One reply from a human increases the conversion rate of leads to users by 50%. The company has experimented with VAMs in lifecycle marketing, using them to promote gated content and capture email addresses. To target the right audience, the company uses behavioral and demographic filters, such as page visits, referral URLs, browser languages, and country and city data. The messages should be concise, reflecting a clear action or goal, and relevant to the visitor's interests. It is essential to monitor and iterate on these messages regularly to optimize their performance.