Zendesk Autoreplies: Email Parts Considered
Find out which parts of an email Zendesk autoreplies analyze to provide relevant help center articles.
What parts of an email do Zendesk autoreplies consider?
Zendesk autoreplies consider both the subject line and the body of the email. They analyze the text in these sections to identify keywords that match help center articles, ensuring that the most relevant information is provided to the user.
For more information, see this article: Optimizing your articles for autoreplies.
More related questions
Do Zendesk autoreplies analyze both the subject and body of emails?
Yes, Zendesk autoreplies analyze both the subject line and the body of emails. They use keywords from the entire request to suggest relevant help center articles. This means that both the subject and the description are important for generating…
How do Zendesk autoreplies use keywords from emails?
Zendesk autoreplies use keywords from the entire email, including the subject and body, to suggest relevant help center articles. By analyzing these keywords, the system can pull articles with matching titles and introductions to help resolve…
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“We needed an AI agent integrated within our current tools. My AskAI was the only solution that wasn't going to disrupt our operations.”
“Our company is growing very rapidly, and we were receiving a lot of support requests. And our team was spending a huge amount of time on them. Now, our AI agent is resolving 84% of customer support conversations.”
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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.”
Conrad Jones CX and Service Leader
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“My AskAI blew everybody else out of the water. It made the selection process very easy for us.”
"My AskAI’s Zendesk integration is saving our support agents over 35 hours per week. A massive win for the team and mitigating hundreds of hours of combined waiting time for customers. We are very pleased with the results — which have allowed us to reinvest bandwidth into other strategic areas."
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