DatriseAI-first ETL

StackAdapt to Klipfolio Integration

AI-first ETL from StackAdapt into Klipfolio. Governed entities, incremental sync, typed landing tables.

How Datrise loads StackAdapt into Klipfolio

Datrise syncs StackAdapt's campaigns, line items, creatives, spend, impressions, and conversions into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

StackAdapt: Programmatic advertising across native and display.

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How StackAdapt entities map to Klipfolio

StackAdapt entityKlipfolio objectNotes
campaignsstackadapt_campaignsid PK · custom fields → flattened columns for Klips
line itemsstackadapt_line_itemsid PK · linked to stackadapt_campaigns
creativesstackadapt_creativesid PK · linked to stackadapt_campaigns
spendstackadapt_spendid PK · linked to stackadapt_campaigns

FAQ

How does Datrise handle StackAdapt's custom fields in Klipfolio?

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

How does the StackAdapt to Klipfolio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables or data feeds.

Related pipelines

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