Data mapping is the process of connecting data from your systems, such as Salesforce, with data collected by Pendo, such as account type or visitor role. Mappings are split into account-level and visitor-level metadata.
It's important to select the correct type of data that you're sending to Pendo for a data mapping. A data type is defined by the values it can take: text, boolean, numbers, and so on. Selecting the appropriate data type ensures that the data displays correctly in Pendo and can be used correctly in segmentation rules.
Data mappings
To view your data mappings, you must be an Admin. Navigate to Settings > Data Mappings, where you can see the names and types of data Pendo uses for analytics.
From this page, you can select the data type for any specific piece of visitor or account metadata. For more information, see Configure visitor and account metadata.
Tip: While there's no currently enforced limit to the amount of metadata fields you can pass into Pendo, we recommend being selective about which fields you include. This helps optimize search performance, loading times, and overall data governance.
Available data types
There are currently six data types available in Pendo. The data you send to Pendo through the install script (commonly referred to as "the snippet") must match the format of the data type you want to map the data to. This section outlines each data type and provides an example of data that matches that type.
Text
Text is the most basic data type in Pendo and is intended for any fields that should be represented as simple text in Pendo, such as an email address:
visitor:{
id:62343,
email:'john@doe.com',
Note: We don't recommend metadata string values to exceed 1500 characters.
Boolean
The boolean data type is used for setting a value to either true or false, such as whether a visitor is an admin user:
visitor:{
id:62343,
isAdmin: true,
Number (int)
Integers are whole numbers – a type of numerical data without a decimal point, such as a dashboard count:
visitor:{
id:62343,
dashboardCount: 3,
Number (float)
Floating-point numbers are a type of numerical data that can have a decimal point, such as a percent storage used:
visitor:{
id:62343,
percentStorageUsed: .776,
Date
Date is used for any date that you pass to Pendo, such as subscription start:
visitor:{
id:62343,
subscriptionStart: "2006-01-02T15:04:05.999-05:00",
The date values you pass must be in a supported format. For information about supported date formats, see Visitor and account metadata. For a list of supported date formats, see the Engage API documentation.
List
List is used for data fields that might contain more than one value, such as roles:
visitor:{
id:62343,
roles: ['admin', 'end-user', 'super-user'],
This data type is only available for agent metadata.
Segmentation rules for data types
Each data type in Pendo has associated segmentation rules that can be used with it. For example, a date field can have segmentation rules that relate to dates (before, after) while a number field can have rules that relate to numbers (equal to, not equal to).
Data mapping type | Available segmentation rules |
Text |
equal to |
Boolean | is true is false |
Number (int) |
equal to |
Number (float) | equal to not equal to less or equal to greater or equal to is empty is not empty |
Date | since before within last not within last within next not within next between is empty is not empty |
List |
contains is empty |
It's important to note that metadata configured as text and list behave differently when it comes to using "contains" in a segment rule.
- When using a "contains" rule with a text-type metadata field, Pendo searches for partial matches. For example, a rule like contains employee includes any metadata value containing "employee", such as "Pendo employee" or "Mind the Product employee".
- In contrast, using a "contains" rule with a list-type metadata field requires an exact string match. For instance, contains employee would only match values that exactly match "employee" and variations like "Pendo employee" or "Mind the Product employee" wouldn't be eligible for the segment.