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What data can be manually imported into Hive?

Learn what different data fields you can import manually into your Hive account via CSV

Written by Mark

If you need to import data manually into your Hive account, you can do so using a CSV file.

Before completing a manual import, we recommend checking Hive’s available integrations—there may be a faster, more streamlined way to bring data into your account.

For step-by-step instructions on completing a manual import, check out this help article.

Accepted data fields

Once you’ve added your dataset to the contact data import, you’ll be prompted to map the data you’re importing to the available fields in Hive. This step ensures that your data is organized correctly and stored in the right place.

Below is a comprehensive list of the fields that can be uploaded.

Note: Fields marked with an asterisk (*) support multiple import formats. For example, date fields can be imported in different formats (M/D/Y, D/M/Y, or Y/M/D). Double-check to sure you select the format that matches your data during the import process.

Data Type

Data Field

User details

  • Email

  • Phone number

  • First name

  • Last name

  • Full name*

  • Gender

  • Birthdate*

  • Email subscription date*

Subscription details

  • Email consent provided

  • Email consent date*

User location details

  • Mailing address

  • City

  • State

  • Country

  • Zip / postal code

  • Latitude

  • Longitude

  • IP address

E-commerce purchase details

  • Item name

  • Item description

  • Item price

  • Number of items purchased

  • Total paid

  • Purchase date*

Ticket purchase details

  • Ticket order date*

  • Ticket price

  • Total paid

  • Number of tickets purchased

  • Ticket tier name

  • Event date*

  • Event title

  • Event venue

  • Event artist name

  • Event genre(s)

Advanced options

Add to static segment: Provide a comma-separated list of segments you’d like to add a user to. If the segment already exists, Hive will add the user to it; if not, Hive will create a new one.
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Custom user property: Specify a property name in the column heading, then assign a value for each user row (e.g., favourite colour: blue, red, green). Learn more about custom user properties.

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