Freshdesk to BigQuery

Export Freshdesk to BigQuery

Scale your customer support analytics with Google Cloud's powerful data warehouse. Connect Freshdesk to BigQuery with Coupler.io to enable massive data processing, advanced analytics, and machine learning applications for sophisticated support intelligence at any scale.

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What data you can export from Freshdesk

... and many more

All-in-one tool for Freshdesk data exports and analytics

Load comprehensive support data from Freshdesk into BigQuery and combine with enterprise systems for massive-scale analytics, enabling complex joins across multiple data sources and advanced business intelligence for large-scale support operations.

Collect data from Freshdesk and enrich it with information from other sources image

Structure Freshdesk data in BigQuery's optimized columnar format with proper schema design, partitioning, and clustering for high-performance queries and machine learning applications on large support datasets.

Organize raw Freshdesk data in the form of a ready-to-use data set image

Ensure BigQuery tables stay updated with automated pipeline execution from monthly to 15-minute schedules, supporting analytics and batch processing workflows for enterprise-scale support operations.

Automate data refresh on a custom schedule image

Leverage Coupler.io AI integrations to make BigQuery's analytical power more accessible. Connect your Freshdesk data flows to AI tools for intelligent analysis without complex SQL query development.

Connect Freshdesk data to AI to query and analyze data using natural language conversations image
Collect data from Freshdesk and enrich it with information from other sources image
Organize raw Freshdesk data in the form of a ready-to-use data set image
Automate data refresh on a custom schedule image
Connect Freshdesk data to AI to query and analyze data using natural language conversations image

Why export Freshdesk to BigQuery - real life cases

Large-scale support analytics and reporting icon

Large-scale support analytics and reporting

Process millions of support tickets, conversations, and interactions in BigQuery's scalable environment for organization-wide support reporting. Enable complex multi-dimensional analysis across business units, product lines, and customer segments while maintaining performance with large datasets.
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Machine learning-powered support optimization

Apply BigQuery ML capabilities to historical support data for predictive analytics and intelligent automation. Develop models for ticket routing optimization, resolution time prediction, and customer satisfaction forecasting using BigQuery's built-in machine learning capabilities.
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Advanced customer journey and satisfaction analysis

Combine Freshdesk support interactions with customer lifecycle data for comprehensive journey analysis. Use BigQuery's analytical power to identify satisfaction drivers, predict churn risk, and optimize support touchpoints across the entire customer experience.
Multi-product support intelligence and consolidation icon

Multi-product support intelligence and consolidation

Aggregate support data from multiple Freshdesk instances or product lines into BigQuery for unified reporting and analysis. Enable cross-product support insights, resource optimization, and strategic decision-making at scale.

How to export Freshdesk to BigQuery

Step 1. Connect to your Freshdesk account and select the data to export
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Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.
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Step 3. Connect your BigQuery project and specify where to load your data
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Step 4. Schedule data refresh to automate data flow from Freshdesk to BigQuery
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Automate data exports with the no-code Freshdesk BigQuery integration

Quick start with dashboard templates

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Talk to AI about your Freshdesk data

BigQuery's analytical power becomes more accessible when paired with conversational AI interfaces. Rather than writing complex SQL queries, Coupler.io AI integrations allow you to explore your support data through natural language while maintaining BigQuery's scalability and performance.

Examples of questions you can ask about Freshdesk data:
  • "Analyze support ticket patterns across all product lines and predict next quarter's volume"
  • "Identify anomalies in agent performance that might indicate training needs or system issues"
  • "What's the relationship between customer satisfaction and support channel usage patterns?"
  • "Generate a comprehensive support health score based on all available metrics"
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Keep your data safe

Coupler.io safeguards your shared information and data transfers from breaches, leaks, and unauthorized disclosures.

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Ready to connect Freshdesk to BigQuery and automate your reporting?