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).
- License 许可
- Apache-2.0
- 所属仓库
- google/skills
- 最近更新
- 2026-11-13
- Stars
- ★ 2.4w
- Forks
- 2.0k
01 前言 Front Matter
- name
- data-manager-api-audience-ingestion
- metadata
- { "version": "1.1.0", "category": "GoogleAds" }
- description
- 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).
02 资源文件 2
- 参考文档references/create-audience.md2.1 KB
- 参考文档references/formatting.md633 B
03 SKILL.md 正文
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-setupskill. - 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 reference. This step
provides the
product_destination_idneeded 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_typefield of theoperating_accountin theDestination. - 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.
| Destination | Audience Type | Accepted Data Types | Upload Guide | Remove All/Replace All Guide |
|---|---|---|---|---|
| Google Ads | Customer Match | composite_data.user_data (contact info), mobile_data (device IDs), user_id_data (user IDs) |
Upload Data | Remove All/Replace All |
| Display & Video 360 (DV360) | Customer Match | composite_data.user_data (contact info), mobile_data (device IDs) |
Upload Data | Remove 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:
| 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
[!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
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
Destinationobject using theproduct_destination_idand the appropriate account configurations:operating_account(target account receiving data),login_account(if authenticating using a manager account or a data partner account), andlinked_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
IngestAudienceMembersRequestorRemoveAudienceMembersRequest, refer to Formatting User Data 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
- Add:
- [ ] Support Validation: Support sending the
validate_onlyboolean 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_idfor later diagnostics:- Add:
ingest_audience_members - Remove:
remove_audience_members - Remove All:
remove_all_audience_members
- Add:
- [ ] Check for Ingestion Warnings: If any non-required field had a
validation failure, the response from
ingest_audience_memberswill also includefield_warnings, a list ofFieldWarningobjects 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, queryclient.retrieve_request_statususing therequest_id. Skipping this step is a common user mistake.
Critical Gotchas
- If sending hashed user identifiers in
user_dataforingest_audience_membersorremove_audience_members, you must set theencodingfield on theIngestAudienceMembersRequesttoHEXorBASE64. - If uploading to a Customer Match audience, the
terms_of_servicefield is required on theIngestAudienceMembersRequestto indicate the user has accepted the policies. - Only set the
addressfield onUserIdentifierif all required fields (postal_code,family_name,given_name,region_code) are present; incompleteaddressfields will cause the API request to fail. product_destination_idmust be a numeric string. It is NOT a resource name.- The enum values for
ConsentStatusareCONSENT_GRANTEDandCONSENT_DENIED. Do not use the valuesGRANTEDandDENIED. - Field names on
UserIdentifierareemail_addressandphone_number. Do not use the Google Ads API field nameshashed_emailandhashed_phone_number. - Do not call the diagnostics endpoint (
retrieve_request_status) ifvalidate_onlyis set totrue.
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.
- Call
client.retrieve_request_statususingRetrieveRequestStatusRequest(request_id=...). - Loop through
request_status_per_destinationin the response to inspect each target'srequest_status. - If processing is complete and
request_statusisSUCCESS,PARTIAL_SUCCESS, orFAILED, 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_countsif uploading or removing composite data, ormobile_id_countif uploading or removing mobile IDs). Refer to the Diagnostics Guide for other count fields. - Match Rate Range: For uploads of
user_dataandcomposite_data, checkupload_match_rate_rangenested inside the status object.
- Ingest: Check the data-type-specific status nested under
- Error Details: If status is
FAILEDorPARTIAL_SUCCESS, inspect each error'sreasonandrecord_countundererror_info.error_counts. - Warning Details: Inspect each warning's
reasonandrecord_countunderwarning_info.warning_counts(even if the destination status isSUCCESS).
- Audience Status: Check the status specific to your request:
API Reference
04 同仓库更多 Skills
sign-in-with-google-web
Implement, configure, and secure Sign In With Google (SiwG) using Google Identity Services (GIS / `https://accounts.google.com/gsi/client`) across web architectures. Use when creating Google sign-in buttons, implementing Google One Tap with FedCM, integrating GIS in React/Next.js/Angular/HTML, verifying ID tokens on backend runtimes (Python/Node.js/Go/Java), enforcing Google Workspace domain restrictions (`hd`), securing client-side ID tokens via WebCrypto nonces or encrypted IndexedDB, embedding in cross-origin iframes via the Intermediate Iframe API (`https://accounts.google.com/gsi/intermediate`), configuring Content Security Policy (CSP), COOP, and Permissions Policy (`identity-credentials-get`) headers, or handling sign-out and revocation. Don't use for legacy Google Sign-In (`gapi.auth2`), Google Cloud IAM service accounts, or Android/iOS native Credential Manager.
dpop-adoption
Implement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining for WebCrypto, Node.js ES6, and browser runtimes integrating with Google's OAuth platform. Use when configuring non-extractable asymmetric key pairs (P-256), generating DPoP Proof JWTs for authorization code exchange and token refresh, or handling 400 use_dpop_nonce challenge retry loops at oauth2.googleapis.com/token. Don't use for unconstrained OAuth 2.0 flows (where refresh tokens are not bound to a client key pair), or for Google Cloud IAM / service account authentication.
retrieving-developer-knowledge
Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms. Integrates with the Developer Knowledge MCP server (search_documents, get_documents, answer_query) or the Developer Knowledge REST API fallback. Use when searching for gcloud CLI commands, API syntax, IAM permissions, official documentation, architectural comparisons, or product choice overviews. Don't use for local filesystem lookups or non-Google documentation.
migrate-to-rust
Clones, analyzes, plans, and migrates legacy codebases (C++, Fortran, Java, Python, C, Shell) from a GitHub URL or local directory to a modern, high-performance, deterministic, 100% Safe Rust architecture, tracking live telemetry across every task bucket, test failure/fix cycle, and Profile-Guided Optimization (PGO) stage, and producing a first-person AI storytelling report and interactive HTML infographic. Use when migrating a GitHub repository or local codebase to Rust, porting legacy C++, Fortran, Python, or Java workloads to memory-safe Rust, designing Struct-of-Arrays (SoA) or SIMD Rust architectures, or optimizing Rust ports with LLVM PGO. Don't use for unrelated non-Rust refactoring or single-line syntax questions.
finding-google-skills
Google platform decision and setup guidance, loaded on demand from Google's skill catalog. Use when a developer is choosing or setting up part of their stack, such as where to run a service, a database, storage, messaging, authentication, analytics, ads, or AI model serving, and a Google product is a reasonable candidate - whether or not a vendor is named - or when a request names a Google product or API. Brings in the matching Google skill so the answer can weigh Google options, their trade-offs, and when they are not the right fit. Skip when the stack is already settled on another provider and no Google product is named, or the task involves no platform choice.
workload-manager-basics
Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, SQL Server, or custom organizational rules, review violations, export results to BigQuery, or automate Workload Manager through client libraries because no service-specific public CLI or MCP server is available. Don't use for general Google Compute Engine instance management, VPC configuration, or standard IAM auditing.