Allowed Fields #
Prisma Campaigns allows the following list of fields and data types. Except when noted otherwise or when a specific format is required, all of them accept text as input.
To add a new field, click Add new Field in the Data Model view of the campaign configuration.
Field Types #
Type | Sample | Supported Formats |
---|---|---|
Address | Some Street 2299th | Any text |
Birth Date | 2020-01-25 | ISO standard format (YYYY-MM-DD, MM/DD/YYYY, …) |
Composite Data | 1234|2022-03-08|San Luis … | Any data type in any order, comma separated (Pipe | , Tilde ~ , Caret ^ , Number Sign # , At sign @ or Tab symbol) or JSON formatted. |
Full Name | John Doe | Any text |
Mobile Phone | +442071838750 | E.164 |
Phone (landline) | +442071838750 | E.164 |
Preferred Language | ES,EN, etc | Any text |
Data Types #
Type | Sample | Supported Formats |
---|---|---|
Boolean | true, false | true or false |
Currency | 3250,5 | Numbers with decimals * |
Date | 2020-01-25 | ISO standard format (YYYY-MM-DD, MM/DD/YYYY, …) |
Decimal | 3250,5 | Numbers with decimals |
john.doe@gmail.com | Email * | |
File | image.png | Binary |
Large Text | Lorem ipsum dolor sit amet… | Any text |
Number | 1000 | Integer numbers * |
Password | 1234ABC | Any text |
Text | 1234ABC | Any text * |
Considerations #
Currency #
- Requires decimal and thousand separators (the dot or the colon, based on the current locale) and the corresponding symbol. The image below illustrates a currency field where the dot and the colon have been defined as the thousand and decimal separators, respectively.
Email #
- If Validate Domain On Import is enabled as shown in the following image, a syntactic check will be performed on all email addresses to ensure the presence of the @ sign and of at least one dot not at the beginning nor the end of the address.
Number #
- If Only positive is checked, only positive values will be accepted. Otherwise, negative numbers will be allowed as well.
Text #
- Through the use of smart auto detection techniques, Prisma Campaigns will try to identify the data type associated with a given field. Based on that analysis, it is more likely that a field that contains data such as 5492657237144, 5492657606511, 5492657600332 and 5492657315912 is classified as cellphone. On the other hand, a field containing only M and F will be interpreted as customer gender, whereas if a @ and a dot are found, Prisma Campaigns will categorize it as email.