Get Intent Data From Scraping LinkedIn Events
In this conversation, Hans demonstrates how to automate the process of using LinkedIn events to build a custom intent data source. He explains the steps involved in monitoring and registering for new events, scraping attendees, filtering based on an ideal customer profile, enriching the data, and routing for campaigns. Hans emphasizes the value of this automation, as campaigns using LinkedIn events as a data source have shown higher positive reply rates. He also provides disclaimers and encourages viewers to try out this automation for themselves.
Takeaways
Automating the use of LinkedIn events as a custom intent data source can lead to higher positive reply rates in campaigns.
The process involves monitoring and registering for new events, scraping attendees, filtering based on an ideal customer profile, enriching the data, and routing for campaigns.
Tools such as Phantom Buster, Make, Axiom, and Prospeo can be used to automate different steps of the process.
Additional optimization and personalization can be done by filtering based on LinkedIn summaries, using open AI for personalization, and more.
Chapters
00:00
Introduction and Disclaimers
01:29
Using LinkedIn Events to Build Custom Intent Data Source
03:46
Setting Up LinkedIn Event Monitoring with Phantom Buster
05:25
Monitoring and Registering for New Events with Make
08:40
Automatically Registering for Events with Axiom
09:09
Scraping Attendees from Registered Events
11:56
Filtering Attendees Based on Ideal Customer Profile
13:43
Enriching Attendees with Prospeo
15:34
Parsing Enriched Data and Routing for Campaigns
18:26
Optimizing and Personalizing Campaigns
19:16
Results and Conclusion