Gong connector
Set up the Gong connector in Kaivo: authentication, configuration, the 6 BigQuery tables it syncs, and answers to common questions.
Written By Lauri Raivio
Last updated 16 days ago
Kaivo is a fully managed data platform that syncs your Gong 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 Gong connector
Sync your Gong call data into BigQuery with Kaivo to analyse sales conversations, scorecards, and rep performance alongside your pipeline.
Getting started with the Gong connector
- Sign up for Kaivo and create a workspace.
- Connect your Gong 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 Gong
Authenticate with your Gong credentials. You provide:
Configuring the Gong connector
When you set up the connector, you provide:
Tables and columns synced from Gong
Kaivo syncs 6 tables from Gong into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.
answeredScorecards (11 columns)
answeredScorecards (11 columns)
Subtable: answeredScorecards__answers
calls (22 columns)
calls (22 columns)
callTranscripts (4 columns)
callTranscripts (4 columns)
Subtable: callTranscripts__transcript
Subtable: callTranscripts__transcript__sentences
extensiveCalls (29 columns)
extensiveCalls (29 columns)
Subtable: extensiveCalls__content__highlights
Subtable: extensiveCalls__content__highlights__items
Subtable: extensiveCalls__content__highlights__items__start_times
Subtable: extensiveCalls__content__key_points
Subtable: extensiveCalls__content__outline
Subtable: extensiveCalls__content__outline__items
Subtable: extensiveCalls__content__points_of_interest__action_items
Subtable: extensiveCalls__content__topics
Subtable: extensiveCalls__content__trackers
Subtable: extensiveCalls__content__trackers__occurrences
Subtable: extensiveCalls__content__trackers__phrases
Subtable: extensiveCalls__content__trackers__phrases__occurrences
Subtable: extensiveCalls__context
Subtable: extensiveCalls__context__objects
Subtable: extensiveCalls__context__objects__fields
Subtable: extensiveCalls__context__objects__fields__value
Subtable: extensiveCalls__interaction__interaction_stats
Subtable: extensiveCalls__interaction__speakers
Subtable: extensiveCalls__interaction__video
Subtable: extensiveCalls__parties
Subtable: extensiveCalls__parties__methods
scorecards (9 columns)
scorecards (9 columns)
Subtable: scorecards__questions
users (14 columns)
users (14 columns)
Subtable: users__email_aliases
Subtable: users__personal_meeting_urls
Subtable: users__spoken_languages
How the Gong sync works
After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where Gong 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 Gong?
It depends on how much history is in your Gong 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 Gong'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 Gong, 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 Gong 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 Gong connector in Kaivo and all of its synced data is deleted with it.
Common use cases for Gong data
Conversation analysis
Use calls and callTranscripts to study what happens in your sales conversations.
Scorecard reporting
Join scorecards with answeredScorecards to track coaching and call quality over time.
Rep performance
Group calls by user to compare activity and outcomes across the team.
Pipeline context
Bring Gong calls together with your CRM data to connect conversations to deals.
Use Gong data in your AI and BI tools
Once Gong 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 Gong 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 Gong connector pricing and plan details.
Related connectors
- Google Ads: Sync Google Ads to BigQuery.
- Custobar: Sync Custobar to BigQuery.
- Google Search Console: Sync Google Search Console to BigQuery.
- HubSpot: Sync HubSpot to BigQuery.
- Adform: Sync Adform to BigQuery.
- Amplitude: Sync Amplitude to BigQuery.
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