Gong
Gong records sales conversations and turns them into data: call metadata, participants, full transcripts, scorecards filled in by managers, and activity stats such as talk ratio, question rate and interactivity. Held in your own Lake, that conversation layer can be joined to pipeline and revenue, so leaders test which behaviors on calls actually show up in won deals.
- Category
- CRM & Sales
- Type
- Revenue intelligence
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Username and password, OAuth 2.0
- Docs
- Gong API docs
02Data
What you can sync.
- Calls
- Transcripts
- Users
- Deals
- Scorecards
- Activity stats
Join Gong calls with billing, support and product usage to see each account in full.
Need more? Name any other Gong data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- A username and password
- OAuth 2.0 (client ID, client secret, refresh token)
Gong uses a username and password or OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in Gong if you need help.
04Questions
Questions you can answer.
Once Gong data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How do talk ratio and question rate on discovery calls differ between reps who close more and reps who close less?
- Which competitors are named in transcripts this quarter, and at which deal stages do they come up?
- How many calls and distinct buyer-side participants does a won deal have compared with a lost one?
- Which scorecard questions do managers score low, by team and by call type?
- On which deals did pricing come up in the transcript before the proposal stage, and did those deals close?
05How it works
How it works in DataMind.
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Pick Gong.
Open Lake, pick Gong in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Gong API docs.
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Answer a few questions.
The AI reads the Gong documentation, then asks which credentials you will use, which data to sync (for example calls and transcripts), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Gong data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Gong.
Sources teams join with Gong in the Warehouse, each one connected the same way.
