Hey Fellow Makers! ๐
Iโm helping a client find new potential B2B customers. Here's what I have:
- A CRM with companies they've already worked with (very basic data)
- A huge raw unfiltered database of 450,000 Hungarian companies
- A basic idea of the ideal client profile (ICP)
My goal is to:
- Use AI to analyze the CRM list and define a precise ICP (based on company attributes like industry, size, etc.)
- Use this ICP to automatically scan the big rawdatabase, then evaluate and score each company (based on revenue, employees, activity codes, etc. + ideally also web search results) to find new high-potential leads.
I've done a similar project using Make+Perplexity last year, but I wonder if anyone has a best practice idea. I don't want to build a custom machine learning system and would prefer not to build this from scratch.
๐โโ๏ธ Has anyone tackled something similar? Any tools, use cases, or workflows youโd recommend?