Connect Creem and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
New Product Is Added
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Creem and kazm
Enable Integrations or automations with these events of Creem and kazm
Triggers
New Product Is Added
Runs when new product is added
Actions
Create Product
Create a product with pricing
Get Product Details
Retrieve product details by ID. View pricing, billing type, status, and product configuration.
Create Discount Code
Create a discount code
Delete Discount
Delete discount by code or ID
List All Products
Retrieve all products
Search Discounts
Search and list discount codes with filters. Filter by product, status, type, and creation date with pagination support.
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Frequently Asked Questions
To start, connect both your Creem and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Creem triggers actions in kazm (or vice versa).
Absolutely. You can customize how Creem 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 Creem 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 Creem 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 Creem
Creem is a cutting-edge platform designed to enhance your marketing automation efforts. With its intuitive interface and powerful tools, Creem helps streamline your marketing campaigns, optimize conversions, and engage your audience effectively.
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
