Connect Harvestr and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
New User Is Created
Company Is Created
New Discovery Created
New Message Created
New Submitter
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Harvestr and kazm
Enable Integrations or automations with these events of Harvestr and kazm
Triggers
New User Is Created
Runs when new user is created
Company Is Created
Runs when company is created
New Discovery Created
Runs when new discovery created
New Message Created
Runs when new message created
New Submitter
Runs when New Submitter
Actions
Create Message
Create a new inbox message
Create Company
Add a new company
Search Discoveries
Find discoveries by filters
List Company Attributes
Show all company attributes
List User Attributes
Show all user attributes
Create New User
Add a new user
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Frequently Asked Questions
To start, connect both your Harvestr and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Harvestr triggers actions in kazm (or vice versa).
Absolutely. You can customize how Harvestr data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Harvestr and kazm 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 Harvestr and kazm. 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 Harvestr
Harvestr is a product management tool that lets you centralize user feedback, prioritize features and communicate on your roadmap.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
Learn More
