DatriseAI-first ETL

Pinterest Ads to Mode Integration

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

How Datrise loads Pinterest Ads into Mode

Datrise syncs Pinterest Ads's campaigns, ad groups, pin promotions, spend, impressions, and conversions into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

Pinterest Ads: Paid pin campaigns and shopping performance.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Pinterest Ads entities map to Mode

Pinterest Ads entityMode objectNotes
campaignspinterest_ads_campaignsid PK · custom fields → flattened columns for SQL and notebooks
ad groupspinterest_ads_ad_groupsid PK · linked to pinterest_ads_campaigns
pin promotionspinterest_ads_pin_promotionsid PK · linked to pinterest_ads_campaigns
spendpinterest_ads_spendid PK · linked to pinterest_ads_campaigns

FAQ

How does Datrise handle Pinterest Ads's custom fields in Mode?

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

How does the Pinterest Ads to Mode sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

Connect Pinterest Ads to Mode 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.