Connector
Snapchat Ads data, structured with the rest.
Snapchat reaches audiences the other platforms miss, and that spend deserves the same measurement. Odins syncs campaign stats daily across your organizations and ad accounts, structured next to Meta, TikTok and TV.
Fully managed · reviewed September 2026
The data
What you can get from Snapchat.
Everything the platform's API reports is available. The default set below covers daily performance; the rest is added on request.
Stream names follow the managed pipeline layer's Snapchat Marketing source. Full reference: Airbyte's snapchat-marketing documentation and Snap's Marketing API docs.
One grant, every ad account.
Snapchat organizes advertisers into organizations with multiple ad accounts. One connection covers them all.
- OAuth connection through our Snapchat app
- Multiple organizations and ad accounts in one connector
- Daily incremental syncs with deduplication, monitored by our team
- Raw tables and the structured dataset both deliverable to your warehouse
Frequently asked questions.
How do I get Snapchat Ads data into BigQuery?
Connect Snapchat to Odins with OAuth and campaign stats sync daily into a managed pipeline, then onward to your BigQuery project, as raw tables and as part of one structured cross-channel dataset.
Will the numbers match Snapchat Ads Manager?
Yes, within Snap's own reporting variance. We pull from the same Marketing API that powers Ads Manager, and stats are refreshed daily as Snap updates them.
We run several ad accounts. Does that work?
Yes. One connection covers multiple organizations and ad accounts, and the account structure is preserved in the data.
How does Snapchat enter the marketing mix model?
As its own channel, with daily spend next to your other social platforms. The model estimates Snapchat's contribution and marginal return against sales data, not platform attribution.
How much history do you load?
2 to 3 years where the API allows it, loaded during onboarding.
Marketing spend, modeled like an investment.
A 30-minute walkthrough of the connection, the data and what the model does with it.
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