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All collectionsLeadsforgeBulk Company Search via File Upload in Leadsforge

Bulk Company Search via File Upload in Leadsforge

You can now upload a CSV file of target companies directly into ICP in Leadsforge to quickly find matching contacts at scale.

Overview

The new Bulk Company Search via File Upload feature allows you to:

  • Upload a list of companies in CSV format

  • Match those companies against our database

  • Automatically retrieve employee contacts from matched companies

  • Refine results further using existing ICP filters

This removes the need to manually enter companies one by one and significantly speeds up large-scale prospecting workflows.

Supported File Format

  • File type: CSV

  • Maximum size: 1 file per search

  • Maximum rows: Up to 1,000 companies

Recommended Data Format

For the best match accuracy, use:

  • Company domain (recommended)

Example:

Companies

openai.com

stripe.com

notion.so

You can also upload company names, but domain-based matching provides more reliable results.

How to Use Bulk Company Search

Step 1: Upload Your CSV File

Start a new ICP search in Leadsforge and upload your CSV file containing the list of companies.

Step 2: Map the Company Column

During the upload process:

  1. Select the column that contains your company data

  2. Map it to the “Companies” field

Step 3: Run the Search

Once uploaded:

  • The system matches companies against our database

  • Matching employee contacts are returned automatically

Step 4: Refine Results

After contacts are generated, you can apply standard ICP filters such as:

  • Job title

  • Seniority

  • Department

  • Location

  • Company size

  • Industry

Excluding Companies

You can also upload a CSV file to exclude companies from your search results.

This is useful when you want to:

  • Avoid existing customers

  • Exclude competitors

  • Remove previously contacted accounts

Access Methods

Bulk Company Search can be triggered through:

  • Chat-based workflows

  • Path selection within ICP

Best Practices

To improve matching quality and reduce errors:

  • Use company domains whenever possible

  • Remove duplicate entries before upload

  • Keep files under the 1,000-row limit

  • Ensure the CSV contains a clear company column header

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