What specific Freshdesk data can I extract using Kondado?

You can replicate four distinct data endpoints including agent profiles with availability status and email addresses, contact records with phone numbers and creation dates, ticket details with subjects and priority levels, and custom field mappings with unique tags. This covers 87 individual fields across your support operations.

How do I connect Freshdesk to Power BI using Kondado?

Add Freshdesk as a data source in your Kondado account using your API credentials, select the specific pipelines you need such as Tickets and Agents, then choose Power BI as your destination. The data flows automatically on your chosen schedule without requiring manual CSV exports or API scripting.

What update frequency options are available for Freshdesk data replication?

Kondado offers flexible scheduling options ranging from near-real-time updates every 5 minutes to daily batches, allowing you to balance data freshness with API rate limits. You can configure different schedules for each pipeline based on your specific analytics requirements and monitoring needs.

Can I combine Freshdesk ticket data with custom fields for analysis?

Yes, the Tickets pipeline and Tickets custom fields pipeline work together to provide both standard ticket attributes and your unique categorization tags. You can join these datasets in BigQuery or PostgreSQL to analyze how specific issue types correlate with resolution times and agent assignments.

Which databases and BI tools work with Freshdesk data from Kondado?

Kondado sends Freshdesk data to Power BI , Looker Studio , Google Sheets , BigQuery , and PostgreSQL , plus MySQL, Excel, Redshift, SQL Server, and Amazon S3. This flexibility lets you analyze support metrics in spreadsheets, create executive dashboards, or feed data warehouses for advanced SQL analysis.

How do I analyze Freshdesk agent performance in Google Sheets?

Select the Agents pipeline to extract availability status, names, and email addresses, then choose Google Sheets as your destination. You can create pivot tables tracking agent activity trends and share live spreadsheets with team leads for immediate visibility into support capacity.

What types of customer support dashboards can I build with Freshdesk data?

You can construct SLA compliance monitors showing ticket resolution times by priority, agent workload distribution charts, customer contact growth trends, and custom field analysis revealing product issue patterns. These visualizations help identify training needs and optimize support resource allocation based on actual ticket volume data.

Send Freshdesk data to reports, spreadsheets and ETL

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Connect Freshdesk to Your Analytics Stack

Kondado enables you to extract valuable Freshdesk data including agent performance metrics, contact information, and detailed ticket histories with custom field attributes. Access granular support insights such as ticket priority levels, status changes, and creation timestamps to understand customer service trends and resolution patterns. Replicate contact details including phone numbers and email addresses alongside agent availability status and last login activity to build complete customer profiles. This direct integration captures 87 distinct data points across your customer support operations without writing complex Freshdesk API code or managing authentication tokens.

Kondado’s Freshdesk data source offers 4 pipelines and 87 fields, enabling you to replicate agents, contacts, tickets, and ticket custom fields directly into your preferred destination.

Support managers can monitor agent availability and ticket resolution times to optimize team scheduling and workload distribution across shifts. Marketing teams leverage contact data to segment customers based on support interactions and identify at-risk accounts through ticket priority analysis and escalation patterns. Data analysts combine Freshdesk information with sales and product data to calculate customer lifetime value and support cost per segment while tracking satisfaction trends. Operations teams monitor ticket volume trends and analyze custom field tags to identify recurring product issues and improve self-service resource effectiveness.

The Kondado platform takes care of refreshing Freshdesk data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Freshdesk data in your report, spreadsheet, data warehouse, data lake, or database

The following pipelines deliver comprehensive Freshdesk analytics capabilities for your business intelligence needs. The Agents pipeline captures ID, name, email, and availability status to help you track team capacity and individual performance metrics over time. Contacts data includes phone, email, and creation timestamps enabling detailed customer segmentation and outreach timing analysis. The Tickets pipeline provides subject lines, status fields, priority levels, and timestamp data for SLA compliance monitoring and backlog management. Tickets custom fields deliver unique identifiers and associated tags that reveal categorization patterns and specific issue types driving support volume. By joining agent availability data with ticket assignment histories, you can calculate response time efficiency and identify bottlenecks in your escalation workflows. Cross-referencing contact creation dates with ticket volumes helps distinguish between new customer onboarding challenges and ongoing support needs. With automated updates on a configurable schedule ranging from every 5 minutes to daily intervals, you can maintain current visibility into KPIs like first response times and ticket resolution rates without manual data exports.

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Available Freshdesk data

available pipelines

extractable fields

Available integrations

Integration	Description
Agents	Table contains information about agents, including ID, name, email, availability status, and last updated timestamp.
Contacts	Table presents contact data, such as ID, name, phone, email, and creation timestamp.
Tickets	Table includes ticket details, such as ID, subject, status, priority, and creation and updated timestamps.
Tickets: custom fields	Table presents custom fields of tickets, including unique ticket ID and associated tags.

Agents

Table contains information about agents, including ID, name, email, availability status, and last updated timestamp.

Contacts

Table presents contact data, such as ID, name, phone, email, and creation timestamp.

Tickets

Table includes ticket details, such as ID, subject, status, priority, and creation and updated timestamps.

Tickets: custom fields

Table presents custom fields of tickets, including unique ticket ID and associated tags.

See all available data →

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How to visualize Freshdesk data in 3 steps

Connect Freshdesk to dashboards, spreadsheets, or databases — no code required.

Add Freshdesk as a data source

Authenticate your Freshdesk account in Kondado by entering your API key and domain, establishing a direct connection to your helpdesk data without complex configuration.

Select pipelines and destination

Choose from the four available pipelines such as Tickets, Agents, Contacts, and custom fields, then send your data to Power BI, Google Sheets, BigQuery, or PostgreSQL for storage and analysis.

Analyze across dashboards, sheets, and databases

Build executive dashboards in Looker Studio or Power BI, perform ad-hoc analysis in Google Sheets or Excel, and run complex SQL queries in BigQuery, PostgreSQL, MySQL, Redshift, or SQL Server to derive actionable insights from your support operations.

Try out all the features for free for 14 days