SparkPost to Klipfolio Integration

How Datrise loads SparkPost into Klipfolio

Datrise syncs SparkPost's messages, transmissions, delivery events, bounces, suppressions, and sending domains 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

SparkPost: Transactional email delivery and deliverability metrics.

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

How SparkPost entities map to Klipfolio

SparkPost entity	Klipfolio object	Notes
messages	`sparkpost_messages`	id PK · custom fields → flattened columns for Klips
transmissions	`sparkpost_transmissions`	id PK · linked to sparkpost_messages
delivery events	`sparkpost_delivery_events`	date/time columns events
bounces	`sparkpost_bounces`	id PK · linked to sparkpost_messages

FAQ

How does Datrise handle SparkPost'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 SparkPost 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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