What you could do is enrich the contact using information found on LinkedIn, for example, look for education dates like the year they started or graduated from business school. That way, you can estimate their age more accurately.
Not sure if there are other techniques, but this could be a solid starting point.
Hey Isaac Yes! We've done this successfully in a few ways. While Clay doesn’t provide age directly, you can estimate it using:
Graduation year (from LinkedIn)
Years of experience or job start dates
Keywords in bio (like "Class of 2005")
We’ve built multiple workflows combining this data to make accurate assumptions happy to share more if you’re exploring something similar!
Nathan V.Abdul S.
Thanks for the feedback y'all! These are great techniques. Any thoughts on non-LinkedIn approaches? I'm building a list of business owners in the IT Services industry who might be willing to sell their business. The hypothesis here is that the oldest business owners will be the most likely to sell their business. Problem I'm running into is that the oldest business owners seem to be the least likely to have LinkedIn...
So as a proxy I'm relying on the age of the business (example if its been around 30+ years odds are the owner is 50+) plus confirming that there hasn't been a change in ownership. Looking for a more elegant way than this however.
Isaac Yeah, older owners often skip LinkedIn in that case, we’ve used domain age, whois records, and even local business registry data (where available) as signals pair that with company longevity + no leadership changes and you’ve got a solid proxy
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