Connect Selly and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Selly
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Selly and kazm
Enable Integrations or automations with these events of Selly and kazm
Actions
Create a Category
This actions creates a new category of products.
Create Coupon
Create a Discount Coupon
Update Category
Updates a category details
Update Coupon
Update a coupon details
Delete Category
Deletes a category from the store.
Delete Coupon
Delete a Coupon from store
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Frequently Asked Questions
To start, connect both your Selly and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Selly triggers actions in kazm (or vice versa).
Absolutely. You can customize how Selly 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 Selly 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 Selly 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 Selly
Selly is a comprehensive eCommerce platform designed to streamline the process of selling digital products, services, and subscriptions online. It offers a user-friendly interface for managing sales, processing payments, and delivering products to customers efficiently. With features like automated delivery, fraud prevention, and detailed analytics, Selly empowers businesses to optimize their online sales operations.
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
