Salesforce Marketing Cloud Account Engagement connector
Set up the Salesforce Marketing Cloud Account Engagement connector in Kaivo: authentication, configuration, the BigQuery tables it syncs, and answers to common
Written By Lauri Raivio
Last updated 42 minutes ago
Kaivo is a fully managed data platform that syncs your Salesforce Marketing Cloud Account Engagement 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 Salesforce Marketing Cloud Account Engagement connector
Sync your Salesforce Marketing Cloud Account Engagement (Pardot) data into BigQuery with Kaivo to measure email, forms, and prospect activity alongside your pipeline.
Getting started with the Salesforce Marketing Cloud Account Engagement connector
- Sign up for Kaivo and create a workspace.
- Connect your Salesforce Marketing Cloud Account Engagement account.
- Choose which tables to sync.
- Wait for the initial sync to finish.
- Query your data in BigQuery or your favourite AI or BI tool.
Authenticating Salesforce Marketing Cloud Account Engagement
Authenticate with your Salesforce Marketing Cloud Account Engagement credentials. You provide:
Prerequisites
Pardot (Salesforce Account Engagement) uses Salesforce OAuth, so you need your own Salesforce connected app:
- In Salesforce Setup → App Manager, create a Connected App with OAuth enabled and the "Manage Pardot services" + "refresh_token, offline_access" scopes, then copy its Consumer Key (Client ID) and Consumer Secret (Client Secret).
- Complete the OAuth authorization flow once to obtain a Refresh Token.
- Find your Pardot Business Unit ID at Setup → Pardot → Pardot Account Setup. See Salesforce's guide.
Need help, or want an easier way to connect? Reach our team via the chat in the bottom-right corner.
Configuring the Salesforce Marketing Cloud Account Engagement connector
When you set up the connector, you provide:
Tables and columns synced from Salesforce Marketing Cloud Account Engagement
Kaivo syncs 33 tables from Salesforce Marketing Cloud Account Engagement into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
How the Salesforce Marketing Cloud Account Engagement sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Salesforce Marketing Cloud Account Engagement 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 Salesforce Marketing Cloud Account Engagement?
It depends on how much history is in your Salesforce Marketing Cloud Account Engagement 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 Salesforce Marketing Cloud Account Engagement'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 Salesforce Marketing Cloud Account Engagement, 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 Salesforce Marketing Cloud Account Engagement 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 Salesforce Marketing Cloud Account Engagement connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Salesforce Marketing Cloud Account Engagement data
Email performance
Use emails and email_clicks to track engagement across your campaigns.
Lead activity
Join prospects with visitor_activities to see how leads engage before they convert.
Form and landing pages
Use forms, form_handlers, and landing_pages to find what drives the most conversions.
Lifecycle reporting
Bring lifecycle_stages and lifecycle_histories into BigQuery to track funnel progression.
Use Salesforce Marketing Cloud Account Engagement data in your AI and BI tools
Once Salesforce Marketing Cloud Account Engagement 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 Salesforce Marketing Cloud Account Engagement 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 Salesforce Marketing Cloud Account Engagement connector pricing and plan details.
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