Use the "write to table" feature to separate your lookalike results into individual rows.
Steps:
1. Add a "write to table" column to your current table
2. Select the lookalikes column as your data source (the one with curly brackets {})
3. Choose which lookalike data points to extract (company name, domain, similarity score, etc.)
4. Select additional columns from your current table to include (like the source company)
This takes each company from your lookalikes list and creates separate rows for continued automation.
Hi Dustin,
Thanks for reaching out to support. I would recommend trying "Write each item to a new row" - This creates a separate row for each lookalike company.
Let me know if that works :)