Connect rebump and goava discover to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for rebump
Choose an Action
Automatically do this!
- Request a new Action for goava discover
Integrate rebump with your favorite apps
The app you are looking for is in beta, and we are awaiting verification from the app builders
before making it accessible to end users.
This process may take 15 to 30 days.
If you can’t wait, we can add the beta version to your viaSocket workspace within 24 hours.
Explore more automations built by businesses and experts
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- text is aiReplytoCommentSend a Private ReplyAdd Step
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- multi keyword matchcmntdqJzLMYSReplytoCommentMultiKeywordAdd Step
Automate Expense Report Approvals via Slack & QuickBooks
- Send for Approval acceptCreate Entry of expensesAdd Step
- Send for rejectMail for RejectionAdd Step
Automate Instagram DM Replies, Reactions, and Team Alerts
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Frequently Asked Questions
To start, connect both your rebump and goava discover accounts to viaSocket. Once connected, you can set up a workflow where an event in rebump triggers actions in goava discover (or vice versa).
Absolutely. You can customize how rebump data is recorded in goava discover. This includes choosing which data fields go into which fields of goava discover, setting up custom formats, and filtering out unwanted information.
The data sync between rebump and goava discover typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between rebump and goava discover. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About goava discover
Goava is a Sales Intelligence tool that helps you Discover your best sales leads using our company database and a powerful recommendation engine.
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