Activation field mapping

The new Event Activations feature introduces field mapping, allowing you to map fields from Lexer (attributes or events) to destination platforms like Braze (custom events or attributes).

In this article:

Edit a field mapping

Each field that is mapped between Lexer and the destination can be configured by clicking the edit icon displayed here:

Each field mapping can be edited by clicking this button.

In the Edit Mapping sheet you can configure:

  • Name: the name of the field in the external system
  • Type: the data type of the field to be sent
  • Field Handling: what to do when this field is empty
  • Transformations: optional modifications to make to the data before it’s sent
Edit Mapping sheet allows you to configure field name, type, and transformations.

Each field you send to your destination will need to have a name defined. This will determine how the field is received and displayed in your destination platform. You can either provide the name of an existing field or a new name to create a new field in the destination.

Field type behaves differently depending on the destination platform. Braze, for example, will infer the field type based on the actual data that is sent for each customer, and can be modified at any time in Braze > Data Settings > Custom Attributes.

Field handling options

Field handling controls the behaviour when a specific customer profile or event is missing any value for the field we’re trying to send to your destination.

Option Description Example Input Example Output
Omit Field Removes the field entirely if its value is empty — the rest of the object is still sent. {"event": "purchase",
"sku": ""}
{"event: "purchase"}
Use Default Value Replaces an empty field with a specified fallback value. {"event": "purchase",
"currency": ""}
Default Value: "AUD”
{"event": "purchase",
"currency": "AUD"}
Skip Object Skips the entire object if the field is empty. {"event": "purchase", "email": ""} Nothing is sent — the event is dropped entirely
Skip Parent Skips the parent object within a collection if the field is empty. {"event": "purchase",
"products": [{ "sku": "123", "price": 19.99 },
{ "sku": "", "price": 29.99 }]}
{"event": "purchase",
"products": [{ "sku": "123", "price": 19.99 }]}

Field transformations

Field transformations allow you to modify data before it’s sent to your destination. There are three types: Aggregations (used when you need to combine multiple values into a single one), Formatters (which reshape or standardize individual values), and Filters (which remove unwanted or invalid values).

Aggregations

Combine multiple values into a single value, such as picking the first item or summing a list of numbers.

Option Description Example Input Example Output
Sum Adds together all numeric values in the array. [5, 10, 2] 17
Sort Orders the values in ascending order (e.g. alphabetically or numerically). ["banana", "apple", "cherry"] ["apple", "banana", "cherry"]
Pick Nth Selects the value at a specific index (e.g. 0 for the first item) from the array. ["first", "second", "third"] Pick Nth: 0
“first”

Formatters

Modify the format or structure of a value, like converting it to lowercase or hashing it.

Option Description Example Input Example Output
Sha256 Hashes the value using the SHA-256 algorithm, commonly used for anonymization. "hello" "2cf24dba5fb0a30e26e83b2ac5b9e29e
1b161e5c1fa7425e73043362938b9824”
ISO Currency Code Validates that the value is a valid ISO 4217 currency code; raises an error if it’s not. “USD” “USD”
Lowercase Converts the value to all lowercase letters. "EMAIL@EXAMPLE.COM" "email@example.com"
Uppercase Converts the value to all uppercase letters. "email@example.com" "EMAIL@EXAMPLE.COM"
Capitalize Converts the value to lowercase and then capitalizes the first letter “dog” “Dog”

Filters

Remove values that don't meet certain conditions, such as nulls, empty strings, or negative numbers.

Option Description Example Input Example Output
Positive Keeps only values greater than or equal to 0. [-5, 0, 12, -1] [0, 12]
Negative Keeps only values less than 0. [-5, 0, 12, -1] [-5, -1]
Lowercase Removes any values that are null or nil. [nil, "apple", nil, "banana"] ["apple", "banana"]
Uppercase Removes values that are empty strings (""); keeps all others. ["", "apple", "", "banana"] ["apple", "banana"]

Sequencing transformations

Your transformations will be applied in the sequence displayed on the screen (top to bottom), allowing you to chain transformations for a single value. In the example below, the transformations will be applied in the following order:

  1. Input field is sorted alphabetically (it may contain multiple email values)
  2. The first value is selected from the sorted list
  3. This email value converted to a Sha256 hash format
  4. The Sha256 hashed email is lowercased (the format required by the destination platform)
You can sequence multiple transformations together.

That’s it! We’ll continue to expand field handling and transformation options based on your feedback and use cases. Please reach out to your Success Manager or our Support team with any questions.

Updated:
May 16, 2025
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