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Quotes
Nick Maxwell avatar
Written by Nick Maxwell
Updated over a year ago

Data Dictionary

Field

Type

Notes

Allowed Payment Methods

Text

Approver ID

Integer

Archived

Boolean

True if the Quote has been archived

CCO ID

Integer

The Connectorly Connection ID. If you group Connectorly's together, then you will see a CCO ID for each one. Organisations has the corresponding Connection Name for each CCO ID.

Comments

Text

Created

Datetime

The date and time that a record was created.

Created By

Integer

The Owner ID of the person that created the record.

Created Date

Date

The date that a record was created. This is useful so you can create a relationship with the Dates table, and analyze data over days, weeks, months and so on.

Currency

Text

Data current as of

Datetime

Gives the date and time that this record was taken from HubSpot.

Esign Date

Date

Esign Enabled

Boolean

Expiration Date

Date

First Company ID

Integer

First Contact ID

Integer

Language

Text

Link

Text

Locale

Text

Logo URL

Text

Manually Signed

Text

Owner ID

Integer

The Owner ID of the person that owns/is responsible for the record. Not necessarily the same as the Created By Owner ID. Find related details in the Owners table.

PDF Download Link

Text

Pdf Download Link

Payment Date

Text

Payment Enabled

Text

Payment Status

Text

Payment Type

Text

Public URL Key

Text

Quote Amount

Number

Quote Link

Text

Quote Number

Text

Sender Company Domain

Text

Sender Company Name

Text

Sender Email

Text

Sender First Name

Text

Sender Firstname

Sender Image URL

Text

Sender Last Name

Text

Sender Lastname

Sender Name

Text

Status

Text

Template Type

Text

Terms

Text

Timezone

Text

Title

Text

Type

Text

Type

Text

Type

Text

Updated

Datetime

The date and time that the record was updated.

Updated By

Integer

The Owner ID of the person that updated the record.

Updated Date

Date

The date that a record was updated. This is useful so you can create a relationship with the Dates table, and analyze data over days, weeks, months and so on.

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