1️⃣ Scrape job posts for specific roles on a daily basis. (The exact roles depend on your offer.)
2️⃣ ICP filter 1 - check if company is B2B. If it is...
3️⃣ Enrich company with 20+ data points
4️⃣ ICP filter 2 - Check if company headcount fits ICP. If so...
5️⃣ ICP filter 3 - Analyze website and description with AI to see if the company can be categorized in any of 5 non-desirable sectors. If it passes all tests...
6️⃣ Scrape the job post description for desired skills and estimated pay range.
7️⃣ Re-analyze the website and LinkedIn pages with AI to determine the company's ICP.
8️⃣ Sort then route all of this data to a specified second table based on the company headcount.
9️⃣ Use AI to find, based on company's size, the most relevant decision maker to open a conversation with. This prompt took a number of iterations to get right and returns their full name, title, and profile URL.
1️⃣0️⃣ Waterfall 9 data providers with the info above until a professional email is found. Findymail and LeadMagic usually do the heavy lifting here.
1️⃣1️⃣ Automatically verify the email with MillionVerifier. If it is a catch-all, automatically reverify with BounceBan (Verify risky emails without sending messages)
1️⃣2️⃣ Use conditional logic to clean up multiple data points for final email copy. The message will be different for every prospect depending on what information was available.
1️⃣3️⃣ Push to the relevant Instantly campaign.
After set up, you only need to press a button to fill with new leads (which can be automated as well).
This not only applies to job posts, but company funding rounds, new hires, product launches, or just about anything else you can think of that can be found publicly.