No-code pipeline · Zendesk Chat (Zopim) → BigQuery

Send data from Zendesk Chat (Zopim) to BigQuery

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From Zendesk Chat (Zopim) to BigQuery: managed, scheduled, no code.

Kondado replicates Zendesk Chat (Zopim) data to BigQuery automatically on a configurable schedule, extracting 76 fields from the Chats pipeline including visitor names, agent names, session duration, average response times, and satisfaction ratings without requiring manual API configuration or coding.

Connect Zendesk Chat (Zopim) now →

Send Zendesk Chat (Zopim) Data to BigQuery

Kondado provides a direct integration between Zendesk Chat (Zopim) and BigQuery, allowing you to replicate chat data automatically without writing code or managing complex API connections. Simply authenticate your Zendesk Chat (Zopim) account, configure your BigQuery destination, and select the Chats pipeline to start replicating data immediately. The platform updates your data warehouse on a configurable schedule ranging from every 5 minutes to daily, ensuring your analytics always reflect the latest customer interactions and support trends.

Once your data arrives in BigQuery, you can build custom reports analyzing agent efficiency, customer satisfaction patterns, and chat volume trends. Join this data with CRM or sales information to create comprehensive customer service dashboards that drive operational improvements and strategic decision-making across your entire organization.

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Available Pipelines and Use Cases

The Chats pipeline delivers 76 fields capturing every aspect of your customer conversations, from session duration and average response times to individual agent performance metrics and visitor identification data. In BigQuery, you can aggregate this information to identify peak support hours, measure customer satisfaction trends over time, and calculate individual agent efficiency scores across different teams or regions.

Combine this chat data with website analytics or transaction records to understand how chat support interactions influence conversion rates, reduce cart abandonment, and drive customer lifetime value for your business. Build automated workflows that trigger when satisfaction ratings drop below thresholds or when response times exceed service level agreements, enabling proactive management of your customer experience.

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Replicated to BigQuery

Zendesk Chat (Zopim) data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipeline

extractable fields

BigQuery

Destination

Available integrations

Chats

Chats table includes information such as duration, average response time, and satisfaction rating. Fields include id, visitor name, agent name, and session data.

See all available data → Send Zendesk Chat (Zopim) to BigQuery →

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How to send Zendesk Chat (Zopim) data to BigQuery

Sync data automatically — no code, no manual exports.

Connect Zendesk Chat (Zopim) Source

Log into Kondado and add Zendesk Chat (Zopim) as a new data source by entering your API credentials. The platform will automatically detect available pipelines including the Chats endpoint with 76 fields.

Configure BigQuery Destination

Select BigQuery as your destination and specify the target dataset where your chat data should reside. Enter your Google Cloud project details and authentication information to establish the connection.

Select Pipeline and Schedule

Choose the Chats pipeline and configure your replication frequency from every 5 minutes to daily updates. Activate the pipeline to begin automated replication of visitor names, agent metrics, and satisfaction data into your data warehouse.

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Send data from Zendesk Chat (Zopim) to other destinations

Zendesk Chat (Zopim) > Looker Studio

Zendesk Chat (Zopim) > Power BI

Other visualizations

Zendesk Chat (Zopim) > Amazon S3

Zendesk Chat (Zopim) > BigQuery

Zendesk Chat (Zopim) > Excel

Zendesk Chat (Zopim) > Google Sheets

Zendesk Chat (Zopim) > MySQL

Zendesk Chat (Zopim) > PostgreSQL

Zendesk Chat (Zopim) > Redshift

Zendesk Chat (Zopim) > SQL Server

Choose a tool to visualize your Zendesk Chat (Zopim) data

If the software you need is not listed, drop us a messagem. You can use almost every tool

Zendesk Chat (Zopim) > Airtable

Zendesk Chat (Zopim) > Alteryx

Zendesk Chat (Zopim) > Amazon Quicksight

Zendesk Chat (Zopim) > BIMachine

Zendesk Chat (Zopim) > Cortex

Zendesk Chat (Zopim) > Data Studio

Zendesk Chat (Zopim) > Geckoboard

Zendesk Chat (Zopim) > Grafana

Zendesk Chat (Zopim) > IBM Cognos Analytics

Zendesk Chat (Zopim) > Klipfolio

Zendesk Chat (Zopim) > Looker Studio

Zendesk Chat (Zopim) > Looker

Zendesk Chat (Zopim) > Looqbox

Zendesk Chat (Zopim) > Metabase

Zendesk Chat (Zopim) > Microstrategy

Zendesk Chat (Zopim) > Pentaho

Zendesk Chat (Zopim) > Power BI

Zendesk Chat (Zopim) > Qlik Cloud Analytics

Zendesk Chat (Zopim) > Qlik Sense

Zendesk Chat (Zopim) > Qlik

Zendesk Chat (Zopim) > QlikView

Zendesk Chat (Zopim) > Redash

Zendesk Chat (Zopim) > Superset

Zendesk Chat (Zopim) > Tableau

Zendesk Chat (Zopim) > BI TOTVS

Zendesk Chat (Zopim) > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending Zendesk Chat (Zopim) data to BigQuery automatically

How does Kondado replicate Zendesk Chat data to BigQuery? ▼

Kondado connects directly to your Zendesk Chat account using your API credentials and automatically extracts data from the Chats pipeline. The platform loads this information into your specified BigQuery dataset on your chosen schedule, handling schema mapping and data type conversion automatically.

What specific fields are available in the Zendesk Chat Chats pipeline? ▼

The Chats pipeline contains 76 fields including chat duration, average response time, satisfaction ratings, visitor names, agent names, session IDs, and timestamp data. This comprehensive dataset enables detailed analysis of conversation quality, agent workload, and customer engagement patterns directly within BigQuery.

How often can I update my Zendesk Chat data in BigQuery? ▼

You can configure automated updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your analytics requirements. This flexible scheduling ensures your BigQuery datasets stay current without overwhelming your data warehouse with unnecessary API calls.

Can I combine Zendesk Chat data with other data sources in BigQuery? ▼

Yes, once your chat data resides in BigQuery, you can easily join it with information from other tables containing Salesforce, Google Analytics, or custom CRM data. This allows you to correlate support interactions with sales conversions, marketing campaigns, or product usage metrics for holistic business intelligence.

What data format does Zendesk Chat data use when stored in BigQuery? ▼

Kondado replicates Zendesk Chat data as structured tables with properly typed columns including strings, integers, timestamps, and decimals. BigQuery stores this information in its native columnar format, optimized for fast querying and aggregation across millions of chat records.

Do I need coding skills to set up Zendesk Chat to BigQuery replication? ▼

No coding is required to configure the connection, you simply authenticate your Zendesk Chat account and select your destination through Kondado's interface. The platform handles all API authentication, data transformation, and schema management automatically.

Can I send Zendesk Chat data to destinations other than BigQuery? ▼

Yes, Kondado allows you to replicate data to multiple destinations simultaneously including PostgreSQL, Power BI, Looker Studio, or Google Sheets alongside your BigQuery warehouse.

How do I build custom dashboards with Zendesk Chat data in BigQuery? ▼

Once replicated, you can query your chat data using standard SQL in BigQuery and connect the results to Looker Studio or Power BI for visualization. Create metrics tracking first response time, chat resolution rates, and customer satisfaction scores tailored to your specific KPIs.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days