Serge A.

Commented on Targeting HR Leaders at Global Companies: Tips and...·Posted inDiscuss Anything

Nicolas P. Sure here is a quick example: Step 1 - create a list of companies Step 2 - click on the 'find people at these companies' in actions Step 3 - filter the search, if you have the names, you can filter by them as well. When you import the people don't add any additional enrichments and leave only basics enrichment, it's free so you won't waste credit on data that you don't need.

Commented on Targeting HR Leaders at Global Companies: Tips and...·Posted inDiscuss Anything

Serge A.

Apollo + Clay + ChatGPT might work.

1.
Find your companies in Apollo, and export them in the Clay company table.
2.
Then click on 'find people at these companies' to create a new table with all the employees. Depending on the size of the companies you might need to create several tables.
3.
When importing employees use the free enrichment method. It gives you a column with their location.
4.
Clear all the columns except the company name, and location; the employee's full name and title if it's important to your outreach (if you want to namedrop particular employees or departments).
5.
Export the table and import it to the AI of your preference. Ask it to analyze the CSV and return a new CSV with columns, such as company name, number of unique countries, and country names.
6.
Then you can import back this data to Clay or Apollo or any other tool.

Hope it helps!

Commented on Anybody here have a workaround to add more than 1...·Posted inDiscuss Anything

Serge A.

Create a CSV, write your rows there first then import to Clay.

Commented on Determining Lead Age and Targeting 60+ Business Ow...·Posted inDiscuss Anything

Serge A.

What about scraping the LinkedIn data to find out when people went to school or university and then calculate their approximate age? It probably won't be precise, give or take a few years, but still.

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