Exploring ATTRIBUTE_ADD in Zendesk Explore

Learn how the ATTRIBUTE_ADD function in Zendesk Explore extends metric aggregation to include additional attributes.

What is the purpose of the ATTRIBUTE_ADD function in Zendesk Explore?

The ATTRIBUTE_ADD function in Zendesk Explore extends the metric aggregation to include additional attributes specified in the function, along with those already in the report. This means that the metric will be sliced by both the report's attributes and the ones you add.

This function is useful for calculating averages or medians based on attributes not present in the report. For instance, you can use ATTRIBUTE_ADD to find the average number of tickets per group without displaying the group attribute in the report.

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Ella Roy Customer Success Manager at Zeffy

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Zinc

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Conrad Jones CX and Service Leader at Zinc

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Natalie Onions VP of Customer Experience at Customer.io

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Freecash

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Howard Blick, Customer Service Team Lead at Freecash

“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.”

Ella Roy Customer Success Manager
Zeffy

Read Zeffy's case study

“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
Zinc

Read Zinc's case study

“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."

Natalie Onions VP of Customer Experience
Customer.io($50M+ ARR)

Read Customer.io's case study

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

"My AskAI's Intercom integration stood out not only because of its impressive answer accuracy but also because of how well it worked within our existing Intercom setup. The combination of precision and effortless setup made it invaluable."

Howard Blick Customer Service Team Lead
Freecash

Read FreeCash's case study

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Exploring ATTRIBUTE_ADD in Zendesk Explore

What is the purpose of the ATTRIBUTE_ADD function in Zendesk Explore?

More related questions

What are aggregation-level functions in Zendesk Explore?

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How do I find the average number of tickets per group using ATTRIBUTE_ADD?

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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.