Customers

Excel Sheet Name

Customers

To tell the app that you are importing Customers you need:

If using CSV file then the file name needs to contain the word “Customers”, for example, “my-shopify-customers.csv”
If using XLSX file then the sheet/tab name in the file needs to be “Customers”. The file name for the XLSX file does not matter.

Summary

In this export, as you see Customers in Admin – each customer has its primary First/Last name and Phone, and each address has their own First/Last Name and Phone – for delivery purposes.

All this data is exported and imported exactly as you see it in Admin.

If Client will have several addresses, all those will be exported, each address in new Excel row. The same principle can be used to import Customers with several addresses, keeping the Email field as the unique Customer identifier (the same as Handle for Products).

Columns Available For Export And Import

Basic Columns

Column	Allowed Values	Description / Example Value
ID	Number	ID is automatically generated number by Shopify to identify the item. It is filled in by an Export. When creating new Customers, leave this value empty. 44920047631
Email	Email Address	Customer primary e-mail address. If the store is configured to require Customer login, then this will be the username. Email must be unique in this Store, which means that each e-mail can be used only once in this column across the Store. When customer puts an order and has e-mail filled, that e-mail is used to identify to which customer the order will be assigned. Email can be empty if First Name is filled. Email is used as the secondary way to identify customers and to check if they already exist. In the import results the Email field can also be called “Handle” (as for all other items secondary identifiers). [email protected]
Command	NEW UPDATE REPLACE DELETE	When importing Customer row – tell the app, what to do with it: NEW: will try to create a new Customer with the provided details. If such Customer will already exist (with the same ID or same Email), then the result will be Failed. UPDATE: will try to find existing Customer, and update it with data from the row. If such Customer will not be found, then it will create new. REPLACE: at first, if such Customer with provided ID or Email exists, then the app will delete it. After that, it will create a new one. If an existing Customer will not be found, then still the app will create a new one. The difference from UPDATE is that it will not keep any of columns, which were not included in the import file since the Customer will be deleted and re-created. DELETE: the app will delete the existing Customer, which is found by ID or Email. If such Customer will not be found, then the result will be Failed. This DELETE command is very handy for deleting Customers in bulk. If no Command is specified, then the app will assume the UPDATE command. UPDATE
First Name	Text	The first name of the Customer. First Name can be empty if Email is filled. John
Last Name	Text	The last name of the Customer. Smith
Phone	Phone Number	Phone number must be full – with the country code and must be valid for the respective country. You can prefix phone numbers with ‘ (apostrophe) to allow Excel to show the + (plus) sign. But the + (plus sign) is not required. The phone number must be unique – Shopify allows one phone number to belong to only one Customer. Shopify uses the phone number to identify to which customer to assign the order – in case the customer doesn’t have the e-mail. '+15417543000
State	disabled invited enabled declined	The Customer status – one of those: disabled: customers are disabled by default until they are invited. invited: the customer has been emailed an invite to create an account. enabled: the customer accepted the email invite and created an account. declined: the customer declined the email invite to create an account. If Customer has declined your invitation, you cannot generate new Account Activation URL. The state is always “calculated” from the actions that are done with this Customer. When you import it, it will always be “disabled” at the beginning. If you send the invitation (or import the column “Send Account Activation Email” as TRUE), then the State will be “invited. To import the Customer as “enabled” State initially, the only way is to do is – to import it with the “Password” set to something. Generally you would want to not set the Password, but send an invitation and allow the customer to approve it. Warning: Shopify doesn’t allow to change State from “disabled” to “enabled” by an update. The only ways to change that is: When Customer approves the invitation and activates her account. If you delete that Customer and create new, with the enabled state from the very beginning and set its Password. disabled
Accepts Marketing	TRUE FALSE	Whether Customer accepted that he can be sent Marketing e-mails. TRUE
Created At	Time	This column will only be exported. It will be set automatically when Customer is created. 2017-10-06 23:03:00 UTC
Updated At	Time	This column will only be exported. It will be automatically updated, whenever the Customer data is changed. 2017-10-06 23:05:00 UTC
Note	Text	Whatever is written on the Customer card, accessible from Shopify Admin. Your notes go here.
Verified Email	TRUE FALSE	Tells, whether Customer e-mail is validated. Is set to TRUE, when Customer received the confirmation e-mail and pressed the confirmation link. This value can also be imported, when creating new Customer. By default, the value will be FALSE. TRUE
Tax Exempt	TRUE FALSE	Tells whether this Customer has tax exempt. By default the value is FALSE. FALSE
Tags	Comma Separated List	Tags allow you to add additional elements or “properties” to your Customer, which you can use for filtering, for developing some additional logic for those Customers in your Store Theme. See this tutorial on how to bulk manage your Tags. Friend, Migrated
Tags Command	MERGE DELETE REPLACE	Tell the app, what to do with Tags: MERGE: will add Tags to existing tags. It means that you don’t need to list all the tags in the import file, you can import those which you want to add. If some of the tags you are importing already exist, then the app will ignore it. DELETE: will delete the Tags that are listed in the import file. If the listed tag will not exist, then the app will ignore it. REPLACE: will replace all existing tags with the tags from the import file. Use this method to maximize the import speed, because if you will use MERGE, it means that the app will need first to load existing tags which takes additional time. You can also have Tags listed in multiple rows within the item and with different Tags Commands. They will be executed in the same order within the item as you have them listed in the file. If Tags Command is not set, the app will assume the REPLACE command by default. See this tutorial on how to bulk manage your Tags.
Row #	Number	Will have row number from 1 till the end for each row. So that if you change the sorting in your exported file to easier update your data, you can sort it back by “Row #” and return it to the original sorting. Because, you know, all the item data should be together – and if you change the sorting, you need to sort it back. Only exported.
Top Row	TRUE / FALSE	It will have value “TRUE” for each “top row” of the item. That can help you filter in Excel to get only the base rows, in case you need to get rid of repeated rows for each item. Some sheets already had this as Primary Row column earlier, but we have added it now to all the sheets now and renamed to Top Row so it’s more clear. Only exported.

First and Last Order Columns

Those columns are only exported.

Column	Allowed Values	Description / Example Value
Total Spent	Decimal Number	The total amount of money this Customer has spent, calculated from actual Orders in the Store. This column will only be exported. It is exported even when “First and Last Order” checkbox is not checked because the data is available always. 48234.93
Total Orders	Number	The total number of orders this Customer has purchased. This column will only be exported. It is exported even when “First and Last Order” checkbox is not checked because the data is available always. 5
First Order: ID	Number	ID of the first Order of this Customer. This column will only be exported. 2387462873468
First Order: Name	Text	Name of the first Order of this Customer. This column will only be exported. #12345
First Order: Processed At	Date & Time	Date and time of the first Order of this Customer. For imported Orders, this will be the processed date, not the date when the Order was imported. Date and time will be in the format which is recognized as Excel time. 2019-01-01 12:34:00 UTC
First Order: Price Total	Currency	The total price of the first Order of this Customer. This is not the actually paid amount, it is the Total of the Order itself. 999.99
Last Order: ID	Number	ID of the last Order of this Customer. This column will only be exported. If Customer has only one order, then this will be the same as the first Order. 2387462873468
Last Order: Name	Text	Name of the first Order of this Customer. This column will only be exported. If Customer has only one order, then this will be the same as the first Order. #12345
Last Order: Processed At	Date & Time	Date and time of the first Order of this Customer. For imported Orders, this will be the processed date, not the date when the Order was imported. Date and time will be in the format which is recognized as Excel time. If Customer has only one order, then this will be the same as the first Order. 2019-01-01 12:34:00 UTC
Last Order: Price Total	Currency	The total price of the first Order of this Customer. This is not the actually paid amount, it is the Total of the Order itself. If Customer has only one order, then this will be the same as the first Order. 999.99

Address Columns

Each Customer can have several addresses, which are used for shipping. One of them is Primary address, marked in the column “Address Is Default”.

All those addresses can be imported, as well as exported.

A Customer with several addresses is organized the same way as Products with several Variants – you need to copy cells from Basic Columns to a new row for each additional Address. To identify that Address belongs to the same Customer, you must have ID or Email cells (whichever comes first), or if those two are empty, then at least “First Name” and “Last Name” must be repeated. At the same time, you can duplicate also all other cells, if that’s more convenient.

Those all are columns, which are accessible in Shopify Admin, when entering one Customer, and pressing “Change” button at Default Address card.

Column	Allowed Values	Description / Example Value
Address ID	Number	ID is automatically generated number by Shopify to identify the Address. It is filled in by an Export. When creating new Customer Addresses, leave this value empty.When you need to update existing addresses, and you don’t want to replace them all, then keep the Address ID value filled – that way the import will know, which address needs to be updated. 44920047999
Address Command	MERGE DELETE REPLACE	Whenever addresses are imported, there is always one of those commands executed for each of address rows: MERGE – merges new addresses into existing customer addresses. DELETE – will delete the listed address by “Variant ID”, if no “Variant ID” will be listed the address will fail to delete. REPLACE – will replace all existing customer addresses with the ones that are listed in the import. This will delete any addresses that are not included in the import for that Customer. If no Address Command is specified, then the MERGE will be assumed. MERGE
Address First Name	Text	Can be different from the First Name. This name will be used when shipping to this particular address. Eric
Address Last Name	Text	Last name of this address. Will be used when shipping to this particular address. Smith
Address Phone	Phone Number	Phone number to use for this shipping address. '+15417543002
Address Company	Text	Company name, if shipping is done to a company address. Smith Inc.
Address Line 1	Text	Address 1st line. Calvin Street 5
Address Line 2	Text	Address 2nd line. 2nd Floor
Address City	Text	City name. Is not checked, so it’s possible to enter any city name. Dough
Address Province	Province Name	Province names are checked against Shopify geographic classifier. Creation of Customer fails if the value is not valid. If you are not sure, what are available values, go to Shopify Admin, edit the Address, and click the drop-down to choose the Province for chosen Country. If Address Province Code is filled, this can be left empty, then Province will be set from there. Ontario
Address Province Code	Province Code	In Shopify classifier there are Province Codes. This is checked, and creation of Customer fails, if the value is not valid. If Address Province is filled, this can be left empty, then Province will be set from there. ON
Address Country	Country Name	Country names are checked against Shopify geographic classifier. Creation of Customer fails if the value is not valid. If you are not sure, what are available values, go to Shopify Admin, edit the Address, and click the drop-down to choose the Country. If Address Country Code is filled, this can be left empty, then Country will be set from there. Canada
Address Country Code	Country Code	Country international code, consisting of 2 letters. If Address Country is filled, this can be left empty, then Country will be set from there. CA
Address Zip	Zip	Zip number of the address. Shopify doesn’t check its correctness. ZIP-1234
Address Is Default	TRUE FALSE	Set this to TRUE if this address needs to be set to Customer primary address. FALSE

Functional Columns

There are some functional columns, which allow manipulating sensitive Customer information.

Column	Allowed Values	Description / Example Value
Account Activation URL	URL	This column can be only generated by Export when marking the checkbox “Activation URLs” for the Customer export. When opening this link, the Shopify Store will ask Customer to enter her new password, and once this is done, Customer will have instantly activated his account, with all the profile ready to use, with all the data which you imported. This allows creating smooth migration experience for Customers when migrating from the old system. You can use those URLs to send invitation e-mails for newly imported Customers using your favorite mass-mailing provider, like MailChimp. To get Account Activation URLs, you need to do the Export after importing new Customers, then those URLs will be generated. All you need to do then is import this Exported Excel into a mass-mailing list, and use it in the main Call To Action button like “Activate Your Migrated Account”. Important: each time you generate new Activation URLs, the previous URLs get “expired” and become invalid. This is how Shopify organizes the Activations. The same thing happens whe you send individual activation invitations from Admin for each customer. https://yourstore.com/...
Send Account Activation Email	TRUE FALSE	This column can only be imported. If you will set this to “TRUE”, then as soon as Customer will be imported, she will receive a default invitation e-mail from Shopify to activate the account – the same one as she would get if you press the “Send account invite” in the Admin from Customer page. When migrating Customers, you might want Shopify to send out invitations to activate migrated accounts in bulk. Then set this to TRUE when importing. This can be used as smooth migration experience for Customers if you don’t want to send your own mass-mailing with Account Activation URL links. When the value is left empty, it is considered to be FALSE, so invitations will not be sent. You can send those activations also to your existing Shopify Customers, just do the export, and then import back as an update, with this value set to TRUE. TRUE
Send Welcome Email	TRUE FALSE	If you will set this to “TRUE”, then as soon as Customer will be imported, she will receive a default Welcome e-mail, the same one as she would get if she registers herself. This welcome e-mail is sent only if the imported customer will be activated, e.g. when you set the password in the import for the new customer. FALSE
Password	Text	Imagine – you can import Customers and set their new passwords as you like. That way the Customer will be instantly activated and will be able to login with that password. Also, you can use the same approach to change passwords for existing Customers. You cannot export passwords because those are strongly encrypted, and even Shopify doesn’t know them. a898w3424&*&(
Multipass Identifier	Text	Available only for Shopify Plus stores. Allows setting the identifier of the Multipass login. Read more information about Multipass. bob123

Metafields

Read the description on Metafields page.

Good To Know

To repeat rows for Addresses, you can just copy the whole row as it is, and you don’t have to delete contents of Basic Columns – that makes copying easier.
Shopify exported CSV file, pasted to Excel [Customers] Sheet, can be imported with the same columns. Just know that not all Customer data is exported, when exporting to CSV by Shopify default export.
To not update some columns, remove those columns from Excel file. Then the Import will not touch them.
If you will not have Address ID value, then all addresses will be replaced with imported.
To update existing Address columns, remember to keep the “Address ID” column.
If you will have the Column with an empty value, then this column will be changed to empty.