Lists: the table, columns and filters

A list is a spreadsheet that knows what its columns mean. This page covers the parts of it you use every day.

A list opened as a table: one contact per row, one piece of data per column, with Enrichment, Filters and the column picker above

The table

Each row is one contact; each column is one field. Standard fields (name, company, title, email, social profile) come with every contact. Everything else is a column you add: an enrichment column, an AI column, or a plain column you fill in yourself.

The Table columns menu: show or hide columns and save the current set as a view
The Add column menu at the right end of the table: Add enrichment, Enrich Emails, AI Custom Column, Custom action, Empty column

Running a column

  • Run a column for the whole list, for the first N rows (the way to test), for the selected rows, or for one cell.
  • Run all empty or out-of-date rows in this list limits a re-run to the rows without a value. Changing the column's instruction or restarting it clears the values and bills every row again. Renaming it or switching its model does not.
  • Auto-enrich new rows keeps a list filled as routines add contacts to it.
  • A running column can be paused; rows already in flight finish, nothing new starts.
The Post to #sales column next to ICP fit: Sent to #sales where the rule holds, Conditions not met elsewhere

Filters and labels

Filters narrow the table by any column: has an email, score is 4 or 5, country is Germany, label is "call first". Labels are tags you put on contacts yourself, which is how most teams split one raw list into the audiences that get different messages.

The label picker of a list: tick labels, create a new one, save

The contact panel

Opening a row shows one contact: their data and its source, the company behind them, the conversation history across every channel, the sequences they are in, and the notes anyone on the team has written about them.

Getting data in and out

ActionWhat it does
ImportCSV or Excel upload with column mapping, or records pulled from a connected CRM.
RoutinesScheduled collectors that keep adding contacts to this list.
Lead database importThe result of a search, added into this list.
ExportThe current view, with filters applied, as a spreadsheet.
CRM syncContacts and their outreach outcomes written to the CRM, one way or both.
The Import leads dialog: Lead database, Launch routine, From .csv / .xlsx, From CRM
Import data, step 2: spreadsheet columns matched to Leadspicker fields, with the column Met at still to be mapped
The Export data dialog with the format choice and a link to the Export Center

Still stuck? Email support@leadspicker.com or use the chat in the app.

Last updated 2026-11-12