DatriseAI-first ETL

Twitter Ads to Looker Integration

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

How Datrise loads Twitter Ads into Looker

Datrise syncs Twitter Ads's campaigns, line items, promoted tweets, spend, impressions, and conversions into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

Twitter Ads: Paid campaign delivery and performance on X.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Twitter Ads entities map to Looker

Twitter Ads entityLooker objectNotes
campaignstwitter_ads_campaignsid PK · custom fields → flattened columns (nested fields expanded for modeling)
line itemstwitter_ads_line_itemsid PK · linked to twitter_ads_campaigns
promoted tweetstwitter_ads_promoted_tweetsid PK · linked to twitter_ads_campaigns
spendtwitter_ads_spendid PK · linked to twitter_ads_campaigns

FAQ

How does Datrise handle Twitter Ads's custom fields in Looker?

Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.

How does the Twitter Ads to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

Early access

Connect Twitter Ads to Looker 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.