

Simplify bulk contact management in BizStackPro with CSV import/export, accurate field mapping, formatting best practices, and clear troubleshooting steps.
You may need to move or update a large number of contacts, but doing it one record at a time isn’t practical.
CSV import and export allows you to handle large datasets, update records in bulk, and keep your contact data organized.
Without a clear process, imports can create errors, duplicates, or inconsistent data.
This guide will show you how to safely import and export contacts so your data stays accurate and easy to manage.
Once you understand how CSV imports and exports work, follow the steps below to prepare your file, map fields, and manage your contacts inside BizStackPro.
Note: In many accounts, only admins can import contacts.
.csvIf you don’t have Email or Phone for some rows, you may need to rely on Contact ID as the unique identifier.
Important: Only new contact imports can typically be reverted. If you update existing contacts with incorrect data, you usually can’t undo it automatically.
If your CSV contains data that doesn’t match an existing field, create a custom field first (or during mapping if your account allows), then map the column to that new field.
+15551234567) when possible.[email protected]).YYYY-MM-DD or MM/DD/YYYY), and don’t mix formats.Always download the error log after a failed import. Fix the CSV issues, then re-upload. It’s the fastest way to pinpoint which rows/fields are failing.
BizStackPro combines contacts, conversations, automation, email/SMS, and more—so your data stays connected.
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Use a .csv file.
Yes. You can import contacts in bulk using a single CSV upload.
Yes. Include Contact ID (recommended) or other identifiers and select the update option during import.
Typically, only new contact imports can be reverted. Updates to existing contacts usually can’t be undone automatically.
Go to Contacts > Export, apply filters if needed, then download the generated CSV file.
Upload, update, and export contacts with clean formatting and accurate field mapping—so automations and follow-ups run smoothly.
Clean data = better automation.
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