Using Liquid Markup Case Statements - Frequently asked questions
Explore common questions about using Liquid markup case statements in Zendesk automations, macros, and triggers. Learn how to support dynamic messages effectively.
Frequently asked questions
How can I use Liquid markup to support multiple languages in Zendesk?
Liquid markup allows you to create dynamic messages in Zendesk by using case statements to support multiple languages. This is particularly useful for businesses that serve customers who speak different languages. By referencing the user's…
How do I change text dynamically based on a dropdown field in Zendesk?
You can use Liquid markup case statements to dynamically change text based on a dropdown field's value in Zendesk. This is useful when you have custom dropdown ticket fields and want to tailor responses or actions based on the selected option. To…
Can I create dynamic responses based on user organization in Zendesk?
Yes, you can create dynamic responses in Zendesk using Liquid markup based on the user's organization. This is similar to creating language-based responses but instead uses the organization attribute. To do this, define a case statement with…
What is the difference between dynamic content and Liquid markup in Zendesk?
Dynamic content and Liquid markup in Zendesk both allow for customized messaging, but they differ in complexity and use cases. Dynamic content is easier to use as it doesn't require any coding knowledge and has a user-friendly interface. It's…
How can I use Liquid markup for dynamic agent signatures in Zendesk?
You can use Liquid markup to create dynamic agent signatures in Zendesk that change based on the customer's language. This is useful for directing customers to different websites based on their language preference. In the brand settings, you can…
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“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”
“Since implementing My AskAI, the AI agent has deflected at least 68% of all customer queries. This has allowed us to get our average human response time down to under 60 seconds. A goal we've had for the last 6 months and finally achieved now with My AskAI.”
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“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”
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