Hey I hope you are doing well.
I am looking for help with a specific issue in Clay. My team is struggling to consistently pull the correct contacts inside digital marketing departments. We are prospecting companies that invest in SEO and SEM, and we want decision makers such as the Head of Digital, the Director of Digital Acquisition, or the Marketing Director who manages paid channels. As you know each company size the decision maker will be a different person. For up to 50 employees the CEO and even the Marketing Coordinator is relevant. But larger than that not anymore.
Clay often returns irrelevant contacts such as general marketing managers, events marketing specialists, content roles, social media coordinators, PPC specialists who are too junior, or people who do not handle digital acquisition or are simply not an influencer or decision maker.
We need a system in Clay that can look at each company and decide which job titles we should enrich, and which ones we should ignore, based on the size and structure of the marketing team.
We want to avoid enriching the wrong people and we want to reduce manual work. We already use several outside data vendors by API such as Hunter, Apollo, Prospeo, FindEmail, and ZeroBounce, so the ideal setup would rely mainly on GPT logic plus our existing vendor credits rather than Clay credits.
Can you explain how you would solve this inside Clay? I want to understand the exact steps you would take, how you would structure the logic, and how you would make Clay return only the relevant contacts who own digital performance budgets.