aidentity / index

google/skills · Apache-2.0

data-manager-api-audience-ingestion

Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience 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).

ads cloud stable

Contents

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.

  • Audience Creation (if needed): If the user does not have an existing

audience or needs to create a new one, use the

[Create an Audience](references/create-audience.md) reference. This step

provides the product_destination_id needed for the ingestion or removal

requests.

Step 1: Identify Use Case & Read Documentation
  • Determine Destination Account Type: [CRITICAL] If it's not clear where

the data is being sent (e.g., Google Ads, Display & Video 360, etc.), STOP

and CLARIFY with the user 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 the implementation guide: Read the relevant guide for your

destination and use case. Do this before answering questions or writing code

because each destination has unique payload structures, consent rules, and

required fields.

DestinationAudience TypeAccepted Data TypesUpload GuideRemove All/Replace All Guide
Google AdsCustomer Matchcomposite_data.user_data (contact info), mobile_data (device IDs), user_id_data (user IDs)Upload DataRemove All/Replace All
Display & Video 360 (DV360)Customer Matchcomposite_data.user_data (contact info), mobile_data (device IDs)Upload DataRemove All/Replace All
Step 2: Retrieve Code Sample

> [!IMPORTANT] If writing or updating an ingestion script, ALWAYS retrieve the

> relevant code sample to use as a reference:

LanguageSample
Pythoningest_audience_members.py
JavaIngestAudienceMembers.java
PHPingest_audience_members.php
Nodeingest_audience_members.ts
.NETIngestAudienceMembers.cs
Step 3: Retrieve Migration Guides

> [!IMPORTANT] 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](https://developers.google.com/data-manager/api/devguides/audiences/google-ads/customer-match/upgrade/field-mappings.md.txt)

Display & Video 360
  • Display & Video 360 API Customer Match: [Display & Video 360 API to

Customer Match Migration Field

Mappings](https://developers.google.com/data-manager/api/devguides/audiences/display-video/customer-match/upgrade/field-mappings.md.txt)

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: If sending an IngestAudienceMembersRequest or

RemoveAudienceMembersRequest, refer to **[Formatting User

Data](references/formatting.md)** to properly normalize and hash user identifiers using

the utility library.

  • [ ] Construct Payload: Build the appropriate request payload based on

the operation:

  • Add: IngestAudienceMembersRequest
  • Remove: RemoveAudienceMembersRequest
  • Remove All: RemoveAllAudienceMembersRequest
  • [ ] Support Validation: Support sending the validate_only boolean

option on the payload to allow developers to validate schemas without

actually applying changes.

  • [ ] Send Request: Execute the appropriate method and record the returned

request_id for later diagnostics:

  • Add: ingest_audience_members
  • Remove: remove_audience_members
  • Remove All: remove_all_audience_members
  • [ ] Check for Ingestion Warnings: If any non-required field had a

validation failure, the response from ingest_audience_members will also

include field_warnings, a list of FieldWarning objects detailing the

issues.

  • [ ] Retrieve Request Status: Check the status of the ingestion request

using diagnostics. Since request processing is asynchronous, a successful

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.

Critical Gotchas

  • If sending hashed user identifiers in user_data for

ingest_audience_members or remove_audience_members, you must set the

encoding field on the IngestAudienceMembersRequest to HEX or BASE64.

  • If uploading to a Customer Match audience, the terms_of_service field is

required on the IngestAudienceMembersRequest to indicate the user has

accepted the policies.

  • 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 & Ingestion Warnings

> [!IMPORTANT]

> Refer to Understand API Errors

> for a detailed guide on how to understand the structure of errors and warnings

> returned by the API.

Retrieving Request Status (Diagnostics)

Periodically poll for status using exponential backoff, starting at least 30

minutes after sending the request.

  1. Call client.retrieve_request_status using

RetrieveRequestStatusRequest(request_id=...).

  1. Loop through request_status_per_destination in the response to inspect

each target's request_status.

  1. If processing is complete and request_status is SUCCESS,

PARTIAL_SUCCESS, or FAILED, inspect diagnostic values:

  • Audience Status: Check the status specific to your request:
  • Ingest: Check the data-type-specific status nested under

audience_members_ingestion_status (e.g.,

composite_data_ingestion_status).

  • Remove Individual Members: Check the data-type-specific status

nested under audience_members_removal_status (e.g.,

composite_data_removal_status).

  • Remove All Members: There are no nested status fields or record

counts available to check for this request type.

  • Record Count: If applicable (ingest or remove individual

members), check record_count (nested inside the data-type-specific

status object) which includes both success and failure.

  • Identifier Counts: If applicable (ingest or remove individual

members), check the data-type-specific count field nested inside the

status object (e.g., data_type_counts if uploading or removing

composite data, or mobile_id_count if uploading or removing

mobile IDs). Refer to the [Diagnostics

Guide](https://developers.google.com/data-manager/api/devguides/diagnostics.md.txt)

for other count fields.

  • Match Rate Range: For uploads of user_data and

composite_data, check upload_match_rate_range nested inside the

status object.

  • 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

Provenance

Authored by Google LLC in google/skills. The content is mirrored here under its upstream license.

Related

data-manager-api-event-ingestion Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion skill). google/skills Apache-2.0 data-manager-api-setup Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the client library, or setup access to the API. Don't use for implementing audience or event ingestion logic (use the data-manager-api-audience-ingestion or data-manager-api-event-ingestion skills instead). google/skills Apache-2.0 google-ads-api-account-diagnostics Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when troubleshooting sudden performance drops, analyzing campaign impression share metrics, investigating low lead flow, or searching for bidding and budget constraints. Don't use for setting up new campaigns, uploading conversion events directly, or general Google Mobile Ads SDK integration issues (use gma-android-integrate instead). google/skills Apache-2.0 google-ads-api-mcp-setup Guides developers through downloading, configuring, and installing the official open-source Google Ads MCP Server. Use this skill when a user wants to connect their AI assistant (such as Gemini, Claude Code, or Cursor) to their Google Ads account to query campaigns or retrieve reporting metrics using natural language. google/skills Apache-2.0 google-ads-api-quickstart Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a "retrieve campaigns" script. Troubleshoots common setup errors: USER_PERMISSION_DENIED, login_customer_id issues, and DEVELOPER_TOKEN_NOT_APPROVED. Use this skill when: - The user asks how to get started with the Google Ads API. - The user needs to set up Google Ads credentials or developer tokens. - The user wants to write a quickstart/example script for Google Ads. - The user encounters errors like USER_PERMISSION_DENIED or DEVELOPER_TOKEN_NOT_APPROVED. google/skills Apache-2.0