Customers

In this article, you'll learn how to collect and store customer data and use it for running targeted promotions and reporting purposes. 

Contents:

  1. Data import and synchronization
  2. Update and delete customers
  3. Customer profile overview
  4. Customer metadata
  5. Data export
  6. Group customers into segments
  7. Target and personalize campaigns
  8. Geofencing

If you are not interested in uploading your customer data to Voucherify, you can pass customer information as metadata or operate on source id property, a unique customer identifier in Voucherify. To help you identify and update customer profiles, you can pass your CRM unique id in the source id field. It can be email, phone number, or other characteristics of your choice.


Data Import and Synchronization

Voucherify API and built-in integrations enable you to sync your CRM and use customer attributes in promotional campaigns. You can also upload your customers' data manually using a CSV file.


Customers API

If you want to keep your customers database in sync with Voucherify, you should create a customer in Voucherify every time a new user is added to your database. This comes down to invoking the Create Customer API method in Voucherify. 

Please follow this guide in our Developer Hub to learn more about creating customers via API.

Import CSV

When your account is verified, you can upload up to 5 000 customer records in bulk. This mode creates and updates customer profiles in Voucherify. You can upload standard customer attributes like address or email, and custom attributes called metadata. Source id is a required attribute to identify and validate your customers. You can map the source id to the external id used in your CRM. Besides source id, after the import, Voucherify assigns internal app id (Customer ID) to each customer. 

Before you start

There are few things you need to know before starting the import:

  • You need to create a comma separated value (CSV) file or download our CSV import template.
  • Note that dates and date-time attributes need to be provided in compliance with the ISO 8601 norms. For example, 2022-03-11T09:00:00.000Z or 2022-03-11
  • Columns that can't be mapped to standard fields, will be mapped to custom attributes and added to customer profiles as metadata. To provide the proper data type, you need to add all custom attributes to the metadata schema before importing the file.
  • Headers with metadata names can't contain white-space characters.
  • If you import metadata defined in the schema as arrays, you need to separate each value using a comma, for example
    • array of strings: "subscribed,premium"
    • array of numbers: "123,234"
    • array of dates: "2000-01-01,2000-01-02"

Click to download a CSV Import Template

To begin, go to the Customers view and choose the Import tool.

Import customers 1

In the Import tool, you need to follow these steps:

  1. Upload the CSV file with your customers' data. 

  2. Import customers 2
  3. Map your attributes. The mapping tells Voucherify what kind of customers' properties are assigned to particular columns in your CSV. 

Firstly, go to the MAP FIELDS tab and choose a property from the CSV columns. Select a predefined type and a matching property from the list of Voucherify attributes. Confirm each mapping with a plus (+).

If you can't find your property on the list, change the predefined type to the custom one and add a new property as metadata to Voucherify. 

You can add multiple metadata columns in your CSV file. Name the column with the name of your custom attribute. After uploading the file, you can map custom attributes to metadata properties in Voucherify. We highly recommend adding all metadata properties to Metadata Schema in your Dashboard before uploading the CSV file. 

For example, the payment method is not a predefined attribute, so if you want to map it, you need to add a custom attribute (metadata):

Adding new mapping

Payment method

Columns with metadata names can't contain white-space characters.

3. When the mapping is ready, confirm with Import. You will be notified once the file is uploaded successfully.

Choose Reload to see new customers. 

Reload tool


Update and Delete Customers

You can update your customers' data in bulk by importing a CSV file or calling our API. To introduce changes in a single customer record, you can use the API or make changes directly in the dashboard. 

Update with API

Update with CSV file

CSV import works for both uploading new customers and updating already existing profiles. To update customer profiles, the customer ID is required in your CSV. Next to the ID, create columns with attributes you want to update/add to customer profiles. 

Customer update

Update in the Dashboard

Click on the customer's name to open his/her profile and make updates. With the Edit tool, you can introduce changes in the built-in attributes and metadata section. 

Manual update

Delete Customers

You can delete customers in the dashboard or by using a dedicated API endpoint.


Customer Profile Overview

Voucherify gives you quick access to customer details and activity. With a 360 customer profile and real-time tracking, you get in-depth insights into customer behavior. To open a customer's individual profile, click on his/her name in the Customers section.

The DETAILS tab shows personal information and a summary of the customer's activity. If you'd like to view the complete history of customer tracking, visit the ACTIVITY tab. In this section, Voucherify gathers information about all actions taken by the customer and related profile updates. Activity filters enable you to search for customer actions performed within a particular timeframe and/or campaign.

Using filters, you can easily track the loyalty and referral activity of your customers. Activity tab displays events with new rewards, referrals, or loyalty points assignment.

In the remaining tabs, customer profiles show the following data:

  • Redemption history shows all customer's redemptions with their details.
  • Wallet tab presents a list of codes published (assigned) to the customer and divided into the following types: discount vouchers, gift cards, loyalty cards, referral vouchers.
  • Marketing permissions tab shows the consents approved by the customer. 
  • Logs tab gathers more detailed and technical information about actions performed by the customer.
  • Metadata section gathers custom attributes added to the customer profile using the metadata schema

Customer metadata

You can extend customer object with custom attributes added as metadata. Metadata stores customer attributes in key/value pairs and many data formats (text, numbers, flag, and more). You can read about metadata basics in this guide

The purpose of customer's metadata is to create segments and validation rules which aren't available out-of-the-box. You can group customers that share particular metadata attributes and limit redemptions to customers with predefined metadata.

Using customer metadata starts from adding custom attributes to metadata schema. Schema provides data integrity across the project and simplifies maintenance of added definitions. 

Here's how to add metadata to the schema:

Please note that only the account Administrator (account Owner) can modify the metadata schema.

  1. Go to the Project settings > Metadata schema
  2. Expand standard schemas and click on Customer schema
  3. Click Add new definition and define metadata attribute (name, type)
  4. Save the metadata definition.

For more detailed instructions, visit this guide.

When you add all needed attributes you can use them for grouping customers and creating validation rules.

Customer segments with metadata

To group customers using metadata, go to the Customers menu and choose Find and apply filters.

Click on custom attributes and choose the metadata that will build a segment filter.

Using the metadata, define the segment filter. Note that you can build filters using many metadata attributes at the same time.

Confirm with Apply to close the editor and list customers who match the filters. Next, Save auto-update segment to save applied filters and ensure that customers who match segment criteria up-to-date will enter the segment list. 

Validation rules with customer's metadata

You can limit redemptions of promo codes and loyalty earning rules to customers with specific metadata configurations. As a result, when Voucherify validates a redemption request or earning, it checks if the metadata attached to a customer match the rules. Validation can succeed only if metadata passed with customer's data match the criteria. 

Read more about validation rules with Customer's metadata.


Data Export

If you need to, you can quickly export all customer data from the Voucherify dashboard to analyze in your database or external analytics and CRM tools. Here are the attributes that you can export:

Name Customer ID Email address
Source ID Created at Description
City Address Postal code
Country Total redemptions Total failed redemptions
Total successful redemptions Total redemptions rollback failed/successful Total order amount
Total order count Average order Last order amount
Total successful redemptions Total redemptions rollback failed/successful Total order amount
Last order date Loyalty points Referred customers
Updated Total redemptions rollback failed/successful Total order amount
Total order count Average order

Go to the Customers section in your dashboard and click the export tool.

Export tool

Define what attributes you'd like to export and confirm to start downloading the data.

Confirm export


Divide customers into segments

Data from customer profile enables you to divide your audience into segments. You can use customer segments to target specific customer groups and trigger personalized communication workflows straight from the dashboard. To create a segment, go to the Customers section and use the filters. The detailed information on how to set up a new segment is here.

Segments can group customers based on standard attributes like email or postal code. They can also operate on custom attributes (metadata), custom events, and order history. 

Dynamic segments used in validation rules and distributions provide you with advanced targeting and personalization possibilities. 


Target and Personalize Campaigns

Validation rules enable you to limit redemptions to specific customer segments or customer's attributes. You can also set up automatic delivery of your incentives based on segment changes (customer entered/left the segment).

Customer-related validation rules

While building validation rules, you can limit redemption to a specific segment or/and exclude some segments from redeeming the codes. 

Customer segment val rules

Moreover, rules builder enables you to create limits based on metadata added previously to customer profiles. As a result, you can limit redemptions to customers with the required custom attribute value assigned.

Audience based val rule

You can use as many metadata attributes as you need to model validation rules in a single campaign. 

Go here to learn more about customer-related validation rules. 


Segment-based distributions

While using dynamic (auto-update) segments, your customers' behavior is reflected in segment changes. Once a customer meets segment criteria, they join the segment, but when their activity changes and violates the segment rules, Voucherify makes sure that a customer left the segment. 

Each segment change can trigger distribution and deliver a message with code to the end-user or 3rd party apps of your choice. By using Voucherify distributions, you can set up an automatic workflow that sends a message with a unique code every time a customer entered or left a segment.

Segment distribution

Go here to learn how to set up segment-based distribution.


Geofencing

Voucherify supports campaigns restricted to specific areas. You can pass the customer's geo-location using metadata. As a result, Voucherify checks if the customer's location sent with redemption/validation request meets campaign rules. Read more about geofencing with Voucherify. 

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