This Clay recipe uses a formula called "stringify" to get the entire LinkedIn profile JSON into one cell so you can do a keyword lookup.
In this hiring workflow, you'll learn how Clay finds and prioritizes candidates with AI formulas, Claygent, and more. Specifically, this workbook will enable you to:
- Find people from a list of target companies
- Filter through candidates with job title keywords (strategy, consultant, account manager, etc.)
- Calculate how many times a candidate has been promoted with respect to the length of time they've been in their current role, to determine performance success
- Use Claygent to categorize the target companies
- Draft personalized emails referencing the above data
Learn how this template works
This template uses a person's professional profile data, Claygent's research, and Google's Gemini LLM's reasoning capabilities to score people for outreach. It then uses additional logic to tailor the value-prop in the message for each prospect.
With this workflow, you'll be able to create multi-step sequences (four-step introductions, email and LinkedIn follow-ups) with unique copy for each message using Twain.
For detailed instructions on how to use this template, check out this Claybook