Meta Ads → Qlik
AI-first ETL from Meta Ads into Qlik. Governed entities, incremental sync, typed landing tables.
How Datrise loads Meta Ads into Qlik
Datrise syncs Meta Ads's campaign spend, impressions, clicks, conversions, and audience segments into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.
Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.
Ideal for associative, in-memory exploration in Qlik Sense.
Endpoints
Meta Ads: Facebook and Instagram ad source for spend and engagement.
Qlik: Associative analytics with Qlik Sense apps and governed data models.
How Meta Ads entities map to Qlik
| Meta Ads entity | Qlik object | Notes |
|---|---|---|
| campaign spend | meta_ads_campaign_spend | id PK · custom fields → flattened columns for the data model |
| 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 Qlik?
Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.
How does the Meta Ads to Qlik sync stay up to date?
It runs incrementally — Datrise uses incremental QVD loads merged on stable id.
Related pipelines
More destinations for Meta Ads
Early access
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