Meta Ads → Sisense
AI-first ETL from Meta Ads into Sisense. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Sisense
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments into Sisense as modeled tables for a Sisense ElastiCube (or live connection). Flexible or custom fields land in flattened columns for the cube, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental ElastiCube builds on changed rows, so re-runs update only what changed. Date-partitioned facts to speed cube builds. ElastiCube is an in-memory model, so Datrise lands incremental, build-friendly tables rather than forcing full rebuilds.
Ideal for embedded analytics on an in-memory engine.
Endpoints
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Sisense: Analytics platform with elastic data models and embedded analytics.
How Meta Ads entities map to Sisense
| Meta Ads entity | Sisense object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → flattened columns for the cube |
| impressions | meta_ads_impressions | id PK · linked to meta_ads_campaign_spend |
| clicks | meta_ads_clicks | id PK · linked to meta_ads_campaign_spend |
| conversions | meta_ads_conversions | id PK · linked to meta_ads_campaign_spend |
FAQ
How does Datrise handle Meta Ads's custom fields in Sisense?
Flexible values are stored as flattened columns for the cube, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Sisense types.
How does the Meta Ads to Sisense sync stay up to date?
It runs incrementally — Datrise uses incremental ElastiCube builds on changed rows.
Related pipelines
More destinations for Meta Ads
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