What specific Huggy data can I extract using Kondado?

You can extract four distinct datasets including Agents with department information, Contacts with phone and email details, Chats with timestamps and agent associations, and Chat Satisfaction Surveys with feedback scores and text responses. This covers 33 total fields across your omnichannel communication operations.

Do I need to use the Huggy API to extract data with Kondado?

Kondado handles the technical connection to the Huggy API automatically once you provide your authentication credentials. You do not need to write custom code or manage API endpoints manually to start extracting your Agents, Contacts, and Chats data.

How do I connect Huggy to Power BI or Google Sheets?

Configure your Huggy data source in Kondado, select your desired pipelines, then send the data to Power BI for advanced visualizations or Google Sheets for spreadsheet analysis. The connection requires your Huggy authentication credentials to establish the pipeline.

What update frequency options are available for Huggy data replication?

Kondado updates Huggy data on a configurable schedule ranging from every 5 minutes to daily intervals. You can adjust the frequency based on your business needs, whether you require near-real-time monitoring for active support operations or daily summaries for reporting purposes.

Can I build custom dashboards analyzing Huggy chat satisfaction scores?

Yes, the Chat Satisfaction Surveys pipeline provides feedback scores and text responses that you can visualize in Looker Studio or Power BI . Create custom reports tracking CSAT trends, agent-specific ratings, and sentiment analysis from customer feedback.

Is Huggy data compatible with BigQuery and PostgreSQL databases?

Absolutely, you can replicate Huggy data directly to BigQuery for large-scale analytics or PostgreSQL for structured storage. The data arrives ready for SQL querying and joins with your existing business datasets.

What analyses can I run by combining Huggy Agents and Chats data?

Combining these pipelines enables workforce optimization analyses such as calculating individual agent chat volumes, average handling times per department, and conversation closure rates. You can correlate agent assignments with chat outcomes to identify top performers and training needs.

How do I replicate Huggy contact data to a data warehouse?

Select the Contacts pipeline when configuring your Huggy data source, then choose your destination such as BigQuery , PostgreSQL , or Redshift. The pipeline automatically extracts contact IDs, names, phone numbers, and email addresses on your scheduled timeline. ### HowTo

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Connect Huggy to Your Data Warehouse and BI Tools

Unlock the full potential of your Huggy omnichannel communication platform by extracting detailed customer interaction data for comprehensive business intelligence. With Kondado, you can access granular information about your support agents, contact lists with phone and email details, complete chat histories with timestamps, and customer satisfaction feedback scores to optimize your lead capture and engagement strategies. Replicate Huggy data on a configurable schedule to ensure your marketing and operations teams always work with current information without manual CSV exports.

Kondado offers a direct integration with Huggy featuring 4 pipelines and 33 fields, covering Agents, Contacts, Chats, and Chat Satisfaction Surveys. This comprehensive data source enables automated extraction of agent performance metrics, contact details for lead management, conversation timestamps for response time analysis, and satisfaction ratings for quality assurance monitoring.

Marketing teams can analyze contact engagement patterns and segment leads by communication channel to optimize conversion strategies, while data analysts build custom Huggy analytics dashboards tracking agent productivity metrics and average handling times. Operations managers benefit from monitoring chat satisfaction trends to identify specific training opportunities and improve customer experience scores across departments. Whether you need to correlate agent assignments with customer feedback or track contact growth over time, Huggy data empowers data-driven decisions that enhance your omnichannel support operations.

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

Available Huggy Data Pipelines

The following pipelines extract specific Huggy data endpoints to power your custom analytics workflows and business intelligence initiatives. The Agents pipeline delivers essential workforce management insights with details like department assignments and unique agent identification numbers, while the Contacts pipeline enables sophisticated lead segmentation strategies through extracted phone numbers and email addresses. The Chats data reveals critical conversation patterns with precise contact associations and detailed timestamps for both created and closed interactions, and the Chat Satisfaction Surveys pipeline provides measurable feedback scores alongside qualitative text responses for comprehensive sentiment analysis.

Combining these pipelines allows you to correlate individual agent performance with satisfaction ratings or analyze which specific contact segments generate the highest chat volumes during peak hours. With automated updates available on a configurable schedule ranging from every 5 minutes to daily intervals, you can continuously monitor critical KPIs like first response times, chat resolution rates, and customer satisfaction trends as they evolve throughout your business operations.

FAQ

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Available Huggy data

available pipelines

extractable fields

Available integrations

Integration	Description
Agents	Table contains information about agents, including fields such as id, name, and department.
Contacts	Table presents contacts with fields such as id, name, phone, and email, enabling efficient lead management.
Chats	Table records chat details, including id, contactid, agentid, and timestamps such as createdat and closedat.
Chat Satisfaction Surveys	Table contains chat feedback, with fields such as chat_id, feedback_score, and feedback_text, allowing satisfaction analysis.

Agents

Table contains information about agents, including fields such as id, name, and department.

Contacts

Table presents contacts with fields such as id, name, phone, and email, enabling efficient lead management.

Chats

Table records chat details, including id, contactid, agentid, and timestamps such as createdat and closedat.

Chat Satisfaction Surveys

Table contains chat feedback, with fields such as chat_id, feedback_score, and feedback_text, allowing satisfaction analysis.

See all available data →

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How to visualize Huggy data in 3 steps

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

Add Huggy as a data source

Configure your Huggy credentials in Kondado to establish authentication with your omnichannel communication platform.

Select pipelines and destination

Choose from the 4 available pipelines including Agents, Contacts, Chats, and Chat Satisfaction Surveys, then send your data to Power BI, Google Sheets, BigQuery, or PostgreSQL.

Analyze in dashboards, sheets, or databases

Visualize Huggy data in Looker Studio or Power BI dashboards, explore metrics in Google Sheets or Excel spreadsheets, or query your data in BigQuery, PostgreSQL, MySQL, Redshift, SQL Server, or Amazon S3 databases.

Try out all the features for free for 14 days