Connect Zendesk to Looker: Dashboards in Minutes
Get started for free
No credit card required | 14 days | 10 million records | 30 pipelines
or sign up with your email
By signing up, you agree to Kondado’s Terms of service and Privacy policy
Visualize Zendesk Data in Looker
Connecting your customer service metrics to your business intelligence environment is simple with Kondado. You can replicate data from Zendesk directly to Looker without writing code or managing complex infrastructure, enabling your team to transform support tickets, satisfaction scores, and agent performance into actionable visual insights that drive better customer experience decisions.
Kondado connects Zendesk to Looker using a Via Kondado connection that requires no coding, no intermediate databases, and no IT support, allowing business teams to build customer service dashboards with data that refreshes on a configurable schedule ranging from every 5 minutes to daily updates.
Once connected, your support data flows continuously into Looker where you can create custom reports tracking ticket resolution trends, agent productivity, and customer satisfaction patterns. This automated approach ensures your operations and marketing teams always access current information for making informed decisions about customer experience improvements and resource allocation across support channels.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
With your Zendesk data available in Looker, you can combine Ticket Metrics and Satisfaction Surveys to analyze how response times correlate with customer happiness scores across different communication channels. The Tickets pipeline provides granular details about volume and status changes throughout resolution cycles, while Ticket Comments reveal qualitative insights about recurring product issues or service gaps. This combination enables support managers to identify bottlenecks in specific agent groups, track performance against SLA targets, and understand which customer organizations require additional attention, turning raw support interactions into strategic business intelligence that improves retention.
Try out all the features for free for 14 days
Zendesk data available in Looker
Available integrations
| Integration | Description |
|---|---|
| Closed and Deleted Tickets | Includes deleted tickets with fields like id, actor_id, and deleted_at, allowing analysis of previous status and ticket description. |
| Ticket Comments | Contains comments related to tickets, with fields like ticket_id, author_id, and created_at, along with the comment body. |
| Ticket Metrics Events | Records SLA metric events, including id, metric, and sla_target, allowing performance monitoring of tickets. |
| Groups | Lists groups with fields like id, name, and updated_at, along with information about the group's status and description. |
| Ticket History | Records ticket audits with fields like id, ticket_id, and created_at, along with metadata about the source and channel. |
| Jira Links | Information about links between tickets and Jira tasks, allowing integration and tracking of related tasks. |
| Tags | Contains information about tags associated with tickets, facilitating categorization and search of tickets by tag. |
| Ticket Metrics | Presents ticket performance metrics, including response time and resolution time, essential for efficiency analysis. |
| Organizations | Lists organizations with fields like id, name, and created_at, allowing management and categorization of tickets by organization. |
| Satisfaction Surveys (Scores) | Collects satisfaction survey results, including id, ticket_id, and score, essential for measuring customer satisfaction. |
| Tickets | Contains information about tickets, including id, status, and timestamps such as created_at and deleted_at. |
| Users | Stores data about users, including id, name, and contact information such as email and status. |
Try out all the features for free for 14 days
'%3E%3Cpath d='M51,41a9.978,9.978,0,0,0-7.857,3.835L22.648,34.588a9.69,9.69,0,0,0,0-5.176l20.5-10.247a10.1,10.1,0,1,0-1.791-3.577L20.857,25.835a10,10,0,1,0,0,12.33L41.352,48.412A9.994,9.994,0,1,0,51,41Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M33,47.645V60.71c.024-.014.05-.018.073-.033l11-7A2,2,0,0,0,45,51.992V40.012Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M31,47.645,19,40.011V51.992a2,2,0,0,0,.927,1.688l11,7c.023.015.049.019.073.033Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M32,21.693l12-7.634L33.076,7.086a2,2,0,0,0-2.152,0L20,14.059Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M12,35.556,0,27.922V39.9A2,2,0,0,0,.927,41.59l11,7c.023.014.049.019.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M52,35.556l12-7.634V39.9a2,2,0,0,1-.927,1.687l-11,7c-.023.014-.049.019-.073.033Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M47,38.914a2,2,0,0,0-.924-1.686L38,32.074V27.922l12,7.634V48.621c-.024-.014-.05-.019-.073-.033L47,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M13,33.821l12-7.634L14.076,19.214a2,2,0,0,0-2.152,0L1,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M17,38.914a2,2,0,0,1,.924-1.686L26,32.074V27.922L14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M32,45.91l12-7.634L33.076,31.3a2,2,0,0,0-2.152,0L20,38.276Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M14.076,19.214a2,2,0,0,0-2.152,0L1,26.187l12,7.634,12-7.634Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M49.924,19.214a2,2,0,0,1,2.152,0L63,26.187,51,33.821,39,26.187Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M26,27.922,14,35.556V48.621c.024-.014.05-.019.073-.033L17,46.726V38.914a2,2,0,0,1,.924-1.686L26,32.074Z' fill='%23383e51' data-color='color-2'%3E%3C/path%3E%3Cpath d='M27.076,25.138A2,2,0,0,1,28,26.824V30.8l1.848-1.179A4,4,0,0,1,31,29.123V23.428L19,15.794v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M36.924,25.138A2,2,0,0,0,36,26.824V30.8l-1.848-1.179A4,4,0,0,0,33,29.123V23.428l12-7.634v4.19Z' fill='%23383e51'%3E%3C/path%3E%3Cpath d='M33.076,31.3a2,2,0,0,0-2.152,0L20,38.276,32,45.91l12-7.634Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)
'%3E%3Cpath d='M50.348,42.573c0-9.411-8.691-12.336-16.348-14.416v-16.1a32.837,32.837,0,0,1,9.363,1.656l2.778,1.11,2.228-5.57L45.584,8.134A38.043,38.043,0,0,0,34,6.046V1H30V6.081c-8.213.594-16.348,4.86-16.348,13.471,0,9.036,8.841,11.732,16.348,13.744V50.074a33.591,33.591,0,0,1-12.006-2.511l-2.683-1.341-2.684,5.367,2.684,1.342c.243.121,5.7,2.792,14.689,3.152V63h4V56.065C44,55.462,50.348,50.3,50.348,42.573Zm-30.7-23.021c0-5.133,5.96-7.016,10.348-7.446V27.071C23.512,25.243,19.652,23.535,19.652,19.552ZM34,50.043V34.393c6.5,1.882,10.348,3.761,10.348,8.18C44.348,48.377,37.873,49.744,34,50.043Z' fill='%23383e51'%3E%3C/path%3E%3C/g%3E%3C/svg%3E)