LinkedIn Ads → PostgreSQL
AI-first ETL from LinkedIn Ads into PostgreSQL. Governed entities, incremental sync, typed landing tables.
How Datrise loads LinkedIn Ads into PostgreSQL
Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance into PostgreSQL as a typed table per source entity. Flexible or custom fields land in jsonb columns, and timestamps such as created, updated, and status changes are typed as timestamptz.
Sync is incremental: Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative range partitioning by load date for high-volume tables. PostgreSQL folds unquoted identifiers to lowercase, so Datrise normalizes mixed-case source fields to snake_case.
Ideal for operational analytics and application backends that need fresh, queryable copies of your data.
Endpoints
LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.
PostgreSQL: Open-source relational database with strong SQL and extensions.
How LinkedIn Ads entities map to PostgreSQL
| LinkedIn Ads entity | PostgreSQL object | Notes |
|---|---|---|
| B2B campaign metrics | linkedin_ads_b2b_campaign_metrics | id PK · custom fields → jsonb columns |
| spend | linkedin_ads_spend | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| clicks | linkedin_ads_clicks | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| leads | linkedin_ads_leads | id PK · linked to linkedin_ads_b2b_campaign_metrics |
FAQ
How does Datrise handle LinkedIn Ads's custom fields in PostgreSQL?
Flexible values are stored as jsonb columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native PostgreSQL types.
How does the LinkedIn Ads to PostgreSQL sync stay up to date?
It runs incrementally — Datrise uses a watermark on each entity's updated-at, applied with INSERT … ON CONFLICT DO UPDATE.
Related pipelines
More destinations for LinkedIn Ads
- LinkedIn Ads → MySQL
- LinkedIn Ads → Microsoft SQL Server
- LinkedIn Ads → Oracle Database
- LinkedIn Ads → Snowflake
- LinkedIn Ads → Google BigQuery
- LinkedIn Ads → Amazon Redshift
- LinkedIn Ads → Databricks SQL Warehouse
- LinkedIn Ads → ClickHouse
- LinkedIn Ads → DuckDB
- LinkedIn Ads → Amazon Athena
- LinkedIn Ads → Amazon S3 Data Lake
- LinkedIn Ads → Azure Data Lake Storage
Early access
Connect LinkedIn Ads to PostgreSQL the easy way
Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.