DatriseAI-first ETL

LinkedIn Ads Supabase

AI-first ETL from LinkedIn Ads into Supabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads LinkedIn Ads into Supabase

Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance into Supabase as a typed table per source entity in your Supabase Postgres. 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 updated-at, applied with INSERT … ON CONFLICT DO UPDATE, so re-runs update only what changed. Optional declarative partitioning for high-volume tables. Datrise lands into a dedicated schema and leaves row-level security to you, so synced tables don't inherit public access by accident.

Ideal for app builders who want CRM data alongside their Supabase product data.

Endpoints

LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.

Supabase: Postgres platform with auth, storage, and realtime APIs.

How LinkedIn Ads entities map to Supabase

LinkedIn Ads entitySupabase objectNotes
B2B campaign metricslinkedin_ads_b2b_campaign_metricsid PK · custom fields → jsonb columns
spendlinkedin_ads_spendid PK · linked to linkedin_ads_b2b_campaign_metrics
clickslinkedin_ads_clicksid PK · linked to linkedin_ads_b2b_campaign_metrics
leadslinkedin_ads_leadsid PK · linked to linkedin_ads_b2b_campaign_metrics

FAQ

How does Datrise handle LinkedIn Ads's custom fields in Supabase?

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 Supabase types.

How does the LinkedIn Ads to Supabase sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with INSERT … ON CONFLICT DO UPDATE.

Related pipelines

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