Snapchat Ads to Mode Integration

How Datrise loads Snapchat Ads into Mode

Datrise syncs Snapchat Ads's campaigns, ad squads, ads, creatives, spend, and conversion metrics into Mode as warehouse tables Mode queries with SQL. Flexible or custom fields land in flattened columns for SQL and notebooks, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the queried tables, so re-runs update only what changed. Date-partitioned facts for report queries. Mode runs analyst-written SQL, so Datrise lands stable, documented tables that won't break saved reports.

Ideal for SQL-first analysis with Python and R notebooks.

Endpoints

Snapchat Ads: Paid campaigns across Snapchat placements.

Mode: Collaborative analytics workspace for SQL, Python, and shared reports.

How Snapchat Ads entities map to Mode

Snapchat Ads entity	Mode object	Notes
campaigns	`snapchat_ads_campaigns`	id PK · custom fields → flattened columns for SQL and notebooks
ad squads	`snapchat_ads_ad_squads`	id PK · linked to snapchat_ads_campaigns
ads	`snapchat_ads_ads`	id PK · linked to snapchat_ads_campaigns
creatives	`snapchat_ads_creatives`	id PK · linked to snapchat_ads_campaigns

FAQ

How does Datrise handle Snapchat Ads's custom fields in Mode?

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

How does the Snapchat Ads to Mode sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the queried tables.

Related pipelines

Early access

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