Outbound Campaign Import Fails: 400 Bad Request on Contact List Mapping

General Discussion
1

No idea why this is happening, our outbound contact list import is failing with a 400 Bad Request error when trying to map Zendesk custom fields to Genesys Cloud contact attributes. We are in the final stages of migrating our telemarketing operations from Zendesk Sell to Genesys Cloud Outbound, and this blocker is preventing us from launching our first campaign. In Zendesk, we simply mapped custom fields directly to contact attributes in the CSV upload, but Genesys Cloud seems much stricter about schema validation.

Here is the exact sequence we are following:

  1. We export a CSV from Zendesk containing columns: email, phone_number, zd_custom_priority, and zd_last_contact_date.
  2. In Genesys Cloud Admin, we navigate to Outbound > Campaigns > Contacts > Lists and create a new list.
  3. During the mapping step, we map email to email and phone_number to phone_number.
  4. We attempt to map zd_custom_priority to a custom contact attribute named priority_level (which we created earlier with type String).
  5. When we click “Save and Import”, the UI throws a generic error: Failed to validate contact list schema. Attribute 'priority_level' does not exist or is read-only.

We have verified that priority_level exists in the Contact Attribute schema and is not read-only. We are using the standard Genesys Cloud Web UI, version 2023-11. The error suggests a mismatch, but the attribute name matches exactly. Is there a specific delay in schema propagation after creating custom attributes in Outbound? Or does Genesys Cloud require these attributes to be defined in the main Architect schema before they can be used in Outbound contact lists? This feels like a significant hurdle compared to the flexibility we had in Zendesk. Any insight into the correct workflow for custom field mapping in Outbound would be greatly appreciated.

2

You should probably look at at

  • Using a pre-processing step to flatten nested Zendesk objects before the Genesys import.
  • Mapping only the flat key-value pairs in the CSV to avoid schema validation errors.
3

Check your webhook payload structure before attempting the direct CSV import. The suggestion above regarding flattening nested objects is technically sound for reducing payload size, but it misses the critical issue of schema validation in Genesys Cloud Outbound. The platform does not accept arbitrary custom field mappings from third-party systems like Zendesk without explicit attribute definition in the contact list schema.

When migrating from Zendesk Sell, the custom_fields array often contains nested JSON objects that Genesys Cloud’s REST API rejects during the POST /api/v2/outbound/contactlists/{contactListId}/contacts call. Instead of pre-processing the CSV, consider using a Data Action to transform the payload via a ServiceNow or custom middleware endpoint before it hits Genesys. This allows you to map Zendesk’s dynamic fields to Genesys’s static customAttributes object structure.

Here is the typical error log you are likely seeing in the response body:

{
 "errors": [
 {
 "code": "BAD_REQUEST",
 "message": "Invalid attribute mapping: 'zendesk_custom_field_1' does not exist in contact list schema."
 }
 ]
}

To resolve this, ensure your Data Action payload explicitly maps the source field to a target attribute defined in the Genesys Cloud contact list. For example:

{
 "customAttributes": {
 "priority": "{{source.zendesk_priority}}",
 "segment": "{{source.zendesk_segment}}"
 }
}

This approach bypasses the strict CSV validation by handling the transformation logic server-side. It also provides better audit trails for compliance, which is crucial when migrating telemarketing data. Cross-reference the Data Action documentation for REST API integration patterns to ensure the payload headers include the correct Authorization and Content-Type values.

4

Ah, yeah, this is a known issue when migrating from Zendesk Sell to Genesys Cloud Outbound. The platform enforces strict schema validation on contact list imports, rejecting any fields not explicitly defined in the target contact list schema. While the previous suggestion about flattening nested objects helps with payload size, it does not address the core validation error. You must ensure every custom field from Zendesk has a corresponding attribute definition in Genesys Cloud before attempting the import.

The error occurs because Genesys Cloud does not auto-create attributes during CSV uploads. It expects a pre-defined schema that matches the incoming data structure exactly. This is particularly strict when dealing with complex custom fields that may have nested JSON structures in Zendesk. The system drops the entire batch if even one field lacks a valid mapping or definition, resulting in the 400 Bad Request error.

To resolve this, create the necessary contact attributes in Genesys Cloud first. Map each Zendesk custom field to a specific Genesys attribute type, such as string or integer. Verify the data types match precisely between the source CSV and the target schema. Once the schema is aligned, the import should proceed without validation errors. This step is mandatory for all outbound contact list migrations from third-party CRMs.