DatriseAI-first ETL

LinkedIn Ads MySQL

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

How Datrise loads LinkedIn Ads into MySQL

Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance into MySQL as a typed table per source entity. Flexible or custom fields land in JSON columns, and timestamps such as created, updated, and status changes are typed as DATETIME/TIMESTAMP.

Sync is incremental: Datrise uses a watermark on updated-at, applied with INSERT … ON DUPLICATE KEY UPDATE, so re-runs update only what changed. Optional RANGE partitioning by load date. MySQL collation matters for CRM text, so Datrise lands utf8mb4 to preserve emoji and non-Latin characters.

Ideal for operational reporting and app databases already standardized on MySQL.

Endpoints

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

MySQL: Widely used OSS relational engine (InnoDB).

How LinkedIn Ads entities map to MySQL

LinkedIn Ads entityMySQL objectNotes
B2B campaign metricslinkedin_ads_b2b_campaign_metricsid PK · custom fields → JSON 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 MySQL?

Flexible values are stored as JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native MySQL types.

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

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

Related pipelines

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