Understanding the Channel Object in Zendesk API

Discover how the Channel Object in Zendesk's API helps apps understand conversation context based on channels.

How does the Channel Object in Zendesk's API work?

The Channel Object in Zendesk's API provides details about the channel based on the last message exchanged between an end user and an agent. It reflects the channel displayed on the ticket tab, helping apps understand the context of the conversation. This object is crucial for creating channel-specific experiences in Zendesk Support.

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Howard Blick, Customer Service Team Lead at Freecash

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Understanding the Channel Object in Zendesk API

How does the Channel Object in Zendesk's API work?

More related questions

What is the new Channel Awareness feature in Zendesk's Apps Support API?

What information does the Target Channel Object provide?

What is the purpose of the Capabilities Object in Zendesk's API?

How can developers provide feedback on Zendesk's Channel Awareness feature?

Interested indeflectingover 70% of your Zendesk support tickets?

Zendesk Support Tickets

Zendesk Messaging (live chat)

Join1,000+ companies reducing their support costs and freeing up support agents for more important work

“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”

“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”

“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”

“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”

“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”

“At the end of last year I was given the challenge - how can we provide the same or better service, without hiring anyone?”

“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”

“It now resolves 71% of queries (over 35,000 every month), meaning more time solving complex issues and improving UX.”

Reduce support costs.Spend more time on customer success.