SYNC-View: Customers

When importing data to Silverbucket it is vital to keep the structure identical to the example datasheet to ensure a flawless import:

- First row contains the names of the headers - it is not necessary to edit the first row.
- Second row in your file is where your data starts to get imported
- Columns need to be in the same exact order as in the examples
- Rows after the default structure's last column are never read / handled when importing
- Never have hidden columns in your data sheets

What data is this integration used for

- Customers

Quickly add any number of customers to Silverbucket. The result of the import can be seen in Silverbucket's Customer > Listing -view, for example.

Integration's data fields

col. A
Name of the customer

The example file in the screenshot will integrate / create the following:

Example data

1) A customer named 'City of Tampere'
2) A customer named 'A Big Customer'
3) A customer named 'Loyal Customer'

Rules & basic principles of this integration

Silverbucket matches rows to Silverbucket's data case-sensitively ("SilverBucket_Support" is not considered the same as "silverbucket_support").
However, matching
email fields is done case-insensitively ("Support@Silverbucket.Com" is considered the same as "" when creating a user, for example)

If the data structure was correct, you can see the outcome in Silverbucket right after the upload. To make sure everything went smoothly head over to Customers > Listing or by simply search with the main search functionality for the desired customer.

A list of all the customers in a test environment

customers_import.csv 14 Bytes

customers_import_exampleRow.csv 38 Bytes
How did we do with this article?