data-manager-api-audience-ingestion

name	data-manager-api-audience-ingestion
description	Guides developers through uploading audience members to Google products using the Data Manager API /v1/audienceMembers/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload audience members for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).
metadata	{"version":1.1,"category":"GoogleAds"}

Data Manager API Audience Ingestion

Implementation Workflow

Prerequisites

• Authentication & Library Installation: If you need to set up access to the Data Manager API or install the client and utility libraries, refer to the data-manager-api-setup skill.

Step 1: Identify Use Case & Read Documentation

• Determine Destination Account Type: [CRITICAL] If it's not explicitly stated, STOP and CLARIFY with the user where the data is being sent (e.g., Google Ads, Display & Video 360, etc.) BEFORE generating any code. Do not assume Google Ads by default. This maps to the account_type field of the operating_account in the Destination.
• Read Documentation: [CRITICAL] Follow the upload guide for your destination to implement the integration, as steps for configuring and sending the request may vary between destinations:
  • Google Ads Customer Match: Upload members to an audience
  • DV360 Customer Match: Upload members to an audience

Step 2: Retrieve Code Sample

[!IMPORTANT] If writing or updating an ingestion script, ALWAYS retrieve the relevant code sample to use as a reference:

Language	Sample
Python	ingest_audience_members.py
Java	IngestAudienceMembers.java
PHP	ingest_audience_members.php
Node	ingest_audience_members.ts
.NET	IngestAudienceMembers.cs

Step 3: Retrieve Migration Guides

[!CRITICAL] If refactoring code to upgrade from another Google API, ALWAYS extract the full contents of the relevant field mapping guide.

Google Ads

• Google Ads API Customer Match: Google Ads API to Customer Match Migration Field Mappings

Display & Video 360

• Display & Video 360 API Customer Match: Display & Video 360 API to Customer Match Migration Field Mappings

Step 4: Implementation

Implement the ingestion logic using the following checkpoints:

• Initialize Client: Instantiate the Data Manager client (IngestionServiceClient).
• Define Destinations: Build the Destination object using the product_destination_id and the appropriate account configurations: operating_account (target account receiving data), login_account (if authenticating using a manager account or a data partner account), and linked_account (if you're a data partner accessing the account via a partner link to a manager account). STRONGLY RECOMMENDED: Refer to the Configure destinations and headers guide for more details on configuring destinations.
• Format User Data: Use the utility library helpers to normalize and hash user identifiers correctly.
• Construct Payload: Build the request payload (IngestAudienceMembersRequest) containing the destinations, formatted members, and consent permissions.
• Support Validation: Support sending the validate_only boolean option on the IngestAudienceMembersRequest to allow developers to validate schemas without actually uploading data.
• Send Request: Execute ingest_audience_members and record the returned request ID for logging/troubleshooting.
• Retrieve Request Status: Check the status of the ingestion request using diagnostics. Since request processing is asynchronous, a successful ingestion response (HTTP 200 OK returning a request_id) only indicates the payload was received. To check if the records actually succeeded, partially succeeded, or failed to process, query client.retrieve_request_status using the request_id. Skipping this step is a common user mistake.

Formatting

• Fetch the Format user data guide and use that as the source of truth for formatting and normalization rules.

• Use the utility library to format, hash, and encrypt user data (emails, phone numbers, addresses).

  Python Example:

  from google.ads.datamanager_util import Formatter
  from google.ads.datamanager_util.format import Encoding
  
  formatter: Formatter = Formatter()
  
  processed_email: str = formatter.process_email_address(
      email, Encoding.HEX
  )
  

Critical Gotchas

• Only set the address field on UserIdentifier if all required fields (postal_code, family_name, given_name, region_code) are present; incomplete address fields will cause the API request to fail.
• product_destination_id must be a numeric string. It is NOT a resource name.
• The enum values for ConsentStatus are CONSENT_GRANTED and CONSENT_DENIED. Do not use the values GRANTED and DENIED.
• Field names on UserIdentifier are email_address and phone_number. Do not use the Google Ads API field names hashed_email and hashed_phone_number.
• Do not call the diagnostics endpoint (retrieve_request_status) if validate_only is set to true.

Error Handling & Troubleshooting

Inspecting Error Payloads

[!IMPORTANT] Refer to Understand API Errors for a detailed guide on how to understand the structure of errors returned by the API.

Retrieving Request Status (Diagnostics)

Periodically poll for status using exponential backoff, starting at least 30 minutes after sending the IngestAudienceMembersRequest.

1. Call client.retrieve_request_status using RetrieveRequestStatusRequest(request_id=...).
2. Loop through request_status_per_destination in the response to inspect each target's request_status.
3. If processing is complete and request_status is SUCCESS, PARTIAL_SUCCESS, or FAILED, inspect diagnostic values:
   • Audience Ingestion Status: Check the data-type-specific status nested under audience_members_ingestion_status (for example, composite_data_ingestion_status).
     • Record Count: Check record_count (includes both success and failure).
     • Identifier Counts: Check the data-type-specific count field (e.g., data_type_counts for composite_data_ingestion_status or user_identifier_count for user_data_ingestion_status; see the Diagnostics Guide for other status types).
     • Match Rate Range: For user_data and composite_data uploads, check upload_match_rate_range.
   • Error Details: If status is FAILED or PARTIAL_SUCCESS, inspect each error's reason and record_count under error_info.error_counts.
   • Warning Details: Inspect each warning's reason and record_count under warning_info.warning_counts (even if the destination status is SUCCESS).

API Reference

• Send audience members guide
• REST API Reference