DatriseAI-first ETL

Meta Ads ThoughtSpot

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

How Datrise loads Meta Ads into ThoughtSpot

Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Meta Ads: Facebook and Instagram ad source for spend and engagement.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Meta Ads entities map to ThoughtSpot

Meta Ads entityThoughtSpot objectNotes
campaign spendmeta_ads_campaign_spendid PK · custom fields → flattened columns for searchable fields
impressionsmeta_ads_impressionsid PK · linked to meta_ads_campaign_spend
clicksmeta_ads_clicksid PK · linked to meta_ads_campaign_spend
conversionsmeta_ads_conversionsid PK · linked to meta_ads_campaign_spend

FAQ

How does Datrise handle Meta Ads's custom fields in ThoughtSpot?

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

How does the Meta Ads to ThoughtSpot sync stay up to date?

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

Related pipelines

Early access

Connect Meta Ads to ThoughtSpot the easy way

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