Hey guys, When building a pipeline in Clay, would you recommend leveraging a job description or opening as part of the filtering strategy? Or does that introduce too many variables and risk muddying the pipeline? Additionally, how can we best leverage target LinkedIn profiles (e.g., MPCs) as "lookalikes" to inform filters and create a clean, qualified pipeline? I want to maximize filter accuracy without overcomplicating the logic or reducing relevance.
I want to pull data based on job description or a linkedin profile of a perfect MPC
Faizan A. Yeah, using a job description or opening in your Clay pipeline can help, but only if it's super clear and well defined. Otherwise, it can introduce a lot of noise and make the filters messy. So if the JD is tight and specific, it’s worth it just don’t rely on it too heavily. For lookalikes, using target LinkedIn profiles (like top MPCs) is a smart move Just reverse-engineer their titles, skills companies and career paths to build filters. Think of it as creating a profile fingerprint then use that to find others who match. That way you're keeping it accurate without overcomplicating things. Keep the logic clean stack a few strong signals and you’ll build a solid qualified pipeline.
