TrailSpark

Drafting a Field from a CSV

Inside the ICP builder, text fields on steps like Eligibility, Ideal Fit, and Behavior Signals include a Help me fill this option. One of the sub-options is a CSV upload — a quick way to draft a field when your account or contact data lives in a spreadsheet rather than a connected CRM.

How it works

Click Help me fill this on any supporting text field, then choose the upload option. A dialog opens where you pick a CSV file from your machine and click Upload. The builder parses the file and returns a suggested value for that field — a short description of the patterns it found.

Review the suggestion. If it fits, click Apply suggestion to drop it into the field. If not, close the dialog and type directly instead.

This is a one-shot assist: the file is not stored, no data source is created, and the suggestion does not flow to other fields. Each field you want to draft this way requires its own upload.

What to upload

A CSV that represents the accounts or contacts you want to describe in that field works best. Common examples:

  • An account list export from a spreadsheet (name, industry, size, region) for an Eligibility or Ideal Fit field
  • A contact list export (title, department, seniority) for a contact-persona field

There is no required schema. The builder reads the header row and column values to infer what the file contains. Include at least a name or identifier column and the firmographic or persona attributes you want captured.

Limitations

The CSV assist is a thin draft tool. It generates one suggestion per upload — there is no field mapping step, no iteration on the result, and no way to re-run a previous file. For richer, CRM-sourced suggestions across multiple fields at once, the SparkSense step covers that when a CRM is connected.

Next steps