Connect Zendesk to Looqbox: Dashboards in Minutes
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Visualize Zendesk Data in Looqbox
Connecting your Zendesk account to Looqbox takes just minutes with Kondado. Our platform provides a direct integration that replicates your customer service data on a configurable schedule, eliminating manual exports and complex preparation. Business teams can immediately start building visual reports that track support performance and customer satisfaction without writing any code.
Kondado connects Zendesk to Looqbox through a “Via Kondado” connection that requires no intermediate databases or technical setup, allowing you to visualize 12 different data pipelines including Tickets, Satisfaction Surveys, and Ticket Metrics with automated updates configured to your preferred frequency.
With this connection, your support metrics, ticket volumes, and agent performance data flow seamlessly into Looqbox. Marketing and operations teams gain immediate access to actionable insights that help optimize customer experience strategies and improve response times across all channels.
Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required
What You Can Analyze
By combining Zendesk data in Looqbox, you can analyze patterns across Ticket Comments and Ticket Metrics to identify which issues consume the most resolution time. The Satisfaction Surveys pipeline reveals customer sentiment trends that directly impact retention strategies, while Organizations data helps you segment support quality by client type.
Operations teams benefit from monitoring Groups performance and tracking Ticket History to optimize agent workload distribution. These insights enable data-driven decisions about staffing levels, training needs, and process improvements that enhance overall customer service efficiency without requiring technical expertise.
Try out all the features for free for 14 days
Zendesk data available in Looqbox
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
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