Connect Adobe Stock and kazm to Build Intelligent Automations

Choose a Trigger

Adobe Stock

When this happens...

Choose an Action

kazm

Automatically do this!

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between Adobe Stock and kazm?

To start, connect both your Adobe Stock and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Adobe Stock triggers actions in kazm (or vice versa).

Can we customize how data from Adobe Stock is recorded in kazm?

Absolutely. You can customize how Adobe Stock 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.

How often does the data sync between Adobe Stock and kazm?

The data sync between Adobe Stock and kazm typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Adobe Stock to kazm?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Adobe Stock and kazm?

Yes, you can set conditional logic to control the flow of data between Adobe Stock 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.

Adobe Stock

About Adobe Stock

Adobe Stock is a stock media service offering high-quality, royalty-free assets like photos, videos, and illustrations, integrated with Adobe Creative Cloud. It provides flexible licensing options, allowing users to easily access and license assets for creative projects.

Learn More
kazm

About 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