How do I connect Zendesk to Data Studio without technical setup?

Kondado provides a direct connection that lets you replicate Zendesk data to Data Studio without intermediate databases or complex configuration. Simply authenticate your Zendesk account, select the pipelines you need, and your data will flow directly into your reports.

What customer support KPIs should I track in Data Studio?

Focus on metrics from the Ticket Metrics pipeline such as first response time and resolution duration, combined with Satisfaction Surveys scores to measure customer happiness. You can also monitor ticket volume trends using the Tickets pipeline and agent productivity through Groups and Users data.

How often does Zendesk data update in my Data Studio reports?

You configure the update frequency based on your business needs, choosing intervals from every 5 minutes to daily updates. This automated refresh keeps your reports current without manual exports or data maintenance.

Can I share Zendesk reports with my team in Data Studio?

Once built, your reports can be shared with stakeholders across your organization using Data Studio's built-in sharing features. This allows customer service managers, executives, and team leads to access the same updated metrics simultaneously.

Do I need coding skills to build Zendesk reports in Data Studio?

No coding is required to replicate your data or build visualizations. Kondado handles the data replication automatically, while Data Studio's drag-and-drop interface lets you create charts and scorecards using your Zendesk fields immediately.

What Zendesk data can I visualize besides basic ticket information?

You can analyze data from Organizations to see ticket distribution by company, use Tags to identify common issue categories, or examine Jira Links to track development tasks related to support tickets. The Ticket Comments pipeline also lets you analyze customer communication patterns.

Can I combine Zendesk data with other business data in Data Studio?

Yes, you can blend your support metrics with data from Google Sheets , BigQuery , or PostgreSQL to create unified reports. This allows you to correlate support ticket volume with sales data or marketing campaigns for deeper business insights.

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Visualize Zendesk Data in Data Studio

Connecting your Zendesk account to Data Studio allows you to transform customer support metrics into visual reports that drive strategic decisions. With Kondado, you can replicate data from tickets, customer satisfaction scores, and agent performance directly into your reports without writing a single line of code. Simply select Zendesk as your data source and choose Data Studio as your destination to start building insightful visualizations. Your team can monitor response times, track ticket resolution trends, and analyze customer feedback patterns all in one place. The setup takes minutes and requires no technical expertise, making advanced analytics accessible to every business user.

Kondado offers a direct connection between Zendesk and Data Studio with 12 available pipelines covering 235 data fields, enabling automated updates on a configurable schedule ranging from every 5 minutes to daily intervals.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

With your support data flowing into Data Studio, you can combine information from Ticket Metrics and Satisfaction Surveys to create comprehensive performance reports that reveal both operational efficiency and customer happiness trends. Analyze Closed and Deleted Tickets alongside Ticket Comments to understand not just what issues were resolved, but how your team communicated solutions to customers. This combination empowers managers to identify training opportunities, optimize staffing levels during peak hours, and demonstrate the tangible business impact of excellent customer service through clear, shareable visualizations that update automatically.

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Zendesk data available in Data Studio

available pipelines

235

extractable fields

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.

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.

How to create Zendesk dashboards in Data Studio

Visualize your data automatically — no spreadsheet exports or custom scripts.

Connect Zendesk as data source

Log into Kondado and add Zendesk as a new data source by entering your account credentials and selecting the specific pipelines you want to replicate.