Attribution · Source connector
Singular Partner Config ELT Connector
Extract brings Singular Partner Config attribution data into data warehouses and databases for analysis with the rest of your business data. Teams use it to compare attribution results, partner performance, and conversion trends. Flexible scheduling keeps reporting current for routine analysis and time-sensitive decisions.
Use cases
What teams use this connector for
Attribution analysis
Compare Singular Partner Config attribution results across partners, campaigns, and conversion paths to understand performance.
Partner reconciliation
Reconcile Singular Partner Config attribution records with internal conversion and finance data to investigate discrepancies.
Performance monitoring
Refresh Singular Partner Config attribution views on a flexible schedule to spot material changes and delayed reporting.
Flexible reporting cadence
Refresh Singular Partner Config reporting every 15 minutes, hourly, daily, or on a custom schedule as business needs change.
Warehouse and database analysis
Use Extract to make Singular Partner Config attribution data available in data warehouses and databases such as Snowflake, BigQuery, Redshift, and PostgreSQL for governed analysis.
Connector data
Available streams
| Stream | Description | Sync mode |
|---|---|---|
partner_config_changes | Fields include _singular_extract_timestamp, agency, app, bundle_id. | Full refresh |
Schema
Data model at a glance
partner_config_changes
_singular_extract_timestampstringagencystringappstringbundle_idstringcategorystringdatestringfield_namestringnew_valuestring
No verified relationships are available in this schema preview.
Connector pairings
Popular destinations
Commonly paired with Singular Partner Config in Extract workflows.
Why Extract
Why Extract for Singular Partner Config
- Rust-native performanceUse Rust-native data movement to refresh Singular Partner Config reporting every 15 minutes, hourly, daily, or on a custom schedule as volume grows.
- Full run transparencyInspect Singular Partner Config API activity, execution steps, and timing in Extract's run-level logs when data needs review.
- ELT + Reverse ETL in oneCombine Singular Partner Config data with customer and finance models, then send approved outputs through a separately configured Reverse ETL destination.
FAQ
Frequently asked questions
How does Extract handle incremental and full Singular Partner Config syncs?
An incremental sync processes only new or changed data since a stored checkpoint or new date partition, while a full sync processes the complete selected dataset or date range again. By avoiding repeated processing and writes for the full dataset, incremental syncs can reduce destination database updates and warehouse compute costs. Stream schemas define full refresh. Behavior varies by stream and configuration. Extract records run details so teams can verify each sync.
Can I backfill historical Singular Partner Config data with Extract?
Historical coverage for Singular Partner Config: No connector-specific backfill parameter is exposed. Initial historical coverage depends on the stream and provider. Use the setup guide and run details to confirm the available source records and selected settings.
How can teams monitor Singular Partner Config data quality and freshness?
Compare expected reporting periods and record totals in your models, then use Extract's run-level logs to inspect Singular Partner Config API activity, execution steps, and timing. This helps teams distinguish a source-data delay from a failed or incomplete run.
How often can Extract sync data from Singular Partner Config?
Extract supports schedules every 15 minutes, hourly, daily, or on a custom cadence. Teams can choose a frequency that matches routine reporting, time-sensitive monitoring, or operational activation needs.
What does the Singular Partner Config data model look like in the destination?
The Available streams table describes the datasets Extract can read from Singular Partner Config. The inline schema previews entities and fields. Only relationships verified from the exported schema are shown. Use the full schema link for more details.