Snapchat Marketing connector

Set up the Snapchat Marketing connector in Kaivo: authentication, configuration, the 20 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated 1 day ago

Kaivo is a fully managed data platform that syncs your Snapchat Marketing data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.

What is the Snapchat Marketing connector

Sync your Snapchat Marketing campaigns, ads, and performance stats into BigQuery with Kaivo to report social spend next to your other channels.

CategoryMarketing & Sales
AuthenticationOAuth
SetupOn request, contact us to enable it

Getting started with the Snapchat Marketing connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your Snapchat Marketing account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating Snapchat Marketing

Connect by signing in to your Snapchat Marketing account. Kaivo runs the connection for you, so you never share a password.

Configuring the Snapchat Marketing connector

When you set up the connector, you provide:

FieldDescription
Start Date

Any data before this date will not be fetched.

Action Report Time

Specifies the principle for conversion reporting.

Swipe Up Attribution Window

Attribution window for swipe ups.

View Attribution Window

Attribution window for views.

Organization IDs

The IDs of the organizations to retrieve.

Ad Account IDs

The IDs of the ad accounts to retrieve.

Tables and columns synced from Snapchat Marketing

Kaivo syncs 20 tables from Snapchat Marketing into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the Snapchat Marketing sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Snapchat Marketing supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for Snapchat Marketing?

It depends on how much history is in your Snapchat Marketing account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when Snapchat Marketing's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in Snapchat Marketing, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in Snapchat Marketing instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the Snapchat Marketing connector in Kaivo and all of its synced data is deleted with it.

Common use cases for Snapchat Marketing data

Campaign performance

Use campaigns, adsquads, and ads with their stats streams to track spend and results.

Creative comparison

Use creatives and media to see which assets perform and which are worn out.

Use the hourly, daily, and lifetime stats streams to compare short and long term trends.

Cross-channel reporting

Report Snapchat next to your other ad platforms in one model rather than separate tools.

Use Snapchat Marketing data in your AI and BI tools

Once Snapchat Marketing data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with Snapchat Marketing data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for Snapchat Marketing connector pricing and plan details.