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How do you send Zendesk Chat (Zopim) data to SQL Server without complex engineering work? Kondado provides a no-code connection that replicates your customer service data automatically on a configurable schedule. You simply authenticate your Zendesk Chat (Zopim) account, select the specific pipelines you need, and point the data toward your SQL Server instance. The platform handles schema management and automated updates without requiring any coding knowledge, allowing analysts to focus on insights rather than data extraction logistics. Once configured, your chat metrics flow continuously into your database, enabling immediate analysis of customer interactions alongside existing business data.
This connection extracts chat metadata, visitor information, and agent performance metrics through the Chats pipeline, loading 76 fields including session duration, average response times, and satisfaction ratings directly into your SQL Server environment.
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The Chats pipeline delivers comprehensive conversation data directly into your SQL Server environment, enabling detailed analysis of customer support interactions. You can query agent performance metrics alongside visitor session data to calculate average response times, measure chat duration patterns, and track satisfaction ratings across different support tiers. This data allows you to build custom SQL queries that correlate chat volume with resolution rates, identify your top-performing agents based on customer feedback scores, and analyze peak support hours by examining timestamp fields within your existing business intelligence workflows.
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Tables Kondado writes into your SQL Server, on a schedule you control.
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Sync data automatically — no code, no manual exports.
Connect your Zendesk Chat (Zopim) account by entering your API credentials in the Kondado platform and testing the connection to ensure proper authentication. This establishes the data source link that enables access to the Chats pipeline and its 76 available fields.
Enter your SQL Server connection details including server address, database name, and authentication credentials to designate where your chat data should land. Kondado validates the destination configuration to ensure proper write permissions exist for creating and updating your data repository.
Select the Chats pipeline from the available options and configure your update schedule to run every 5 minutes, hourly, or daily based on your reporting needs. You can then choose specific fields like visitor_name, agent_name, and satisfaction_rating to replicate, ensuring your SQL Server receives exactly the data your analysis requires.
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Try out all the features for free for 14 days
Try out all the features for free for 14 days