What is Clay column?
A Clay column holds one field or action result across the rows of a table. Depending on its configuration, it can store basic data, calculate a formula or contain an enrichment response. Its data type and dependencies determine how other parts of the table can use it.
By LeadHaste Editorial · AI-assisted editorial review ·
What a column can contain
Clay supports basic column types including text, URL, checkbox, number and date. Action outputs can also contain structured information that you extract into separate fields. A displayed company name, an underlying provider response and a formula based on that response serve different purposes. Giving them distinct names helps an operator see whether a value was imported, calculated or retrieved from another service.
Why column design affects outreach
Suppose a contact table contains an imported employer, a newly enriched employer and a qualification checkbox. Overwriting the imported field immediately can hide a mismatch that needs investigation. Keeping the inputs and results separate lets the team decide which identity is supported before routing the record. The downstream message should use the approved value, rather than whichever field happened to be filled most recently.
Check the type and meaning
A checkbox is useful when a later action needs a true or false decision. A number column suits a numeric score; a text field containing the word false is a different value. Test blank cells, unexpected provider responses and multiple matches before connecting a column to a live handoff. If the action returns a list, decide whether the next stage expects that whole list or one extracted item. A populated cell alone does not resolve that question.
Make dependencies understandable
Use names that describe the business meaning, such as approved company domain or verified work email. Preserve identifiers and useful evidence rather than only storing a final label. When changing an upstream column, inspect the formulas and actions that reference it. A small field change can alter qualification, trigger another enrichment or affect exported copy, so validate an example row through the full chain before applying the change broadly.
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