LinkedIn Ads → ThoughtSpot
AI-first ETL from LinkedIn Ads into ThoughtSpot. Governed entities, incremental sync, typed landing tables.
How Datrise loads LinkedIn Ads into ThoughtSpot
Datrise syncs LinkedIn Ads's B2B campaign metrics, spend, clicks, leads, and audience performance 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
LinkedIn Ads: B2B advertising metrics for pipeline and attribution reporting.
ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.
How LinkedIn Ads entities map to ThoughtSpot
| LinkedIn Ads entity | ThoughtSpot object | Notes |
|---|---|---|
| B2B campaign metrics | linkedin_ads_b2b_campaign_metrics | id PK · custom fields → flattened columns for searchable fields |
| spend | linkedin_ads_spend | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| clicks | linkedin_ads_clicks | id PK · linked to linkedin_ads_b2b_campaign_metrics |
| leads | linkedin_ads_leads | id PK · linked to linkedin_ads_b2b_campaign_metrics |
FAQ
How does Datrise handle LinkedIn 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 LinkedIn Ads to ThoughtSpot sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the indexed tables.
Related pipelines
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