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Connect Hi Platform to Your Analytics Stack
Hi Platform stores valuable customer support and marketing automation data that often remains trapped within the platform’s native interface. Through Kondado, you can replicate comprehensive Tickets data containing 220 distinct fields including detailed interaction histories, resolution timestamps, account identifiers, and status workflows. This extraction captures every customer touchpoint from creation to resolution, giving you complete visibility into service performance and support team productivity metrics that drive operational excellence.
Kondado’s Hi Platform data source offers 1 pipeline with 220 fields, enabling you to replicate complete Tickets data including IDs, account associations, status changes, interaction logs, created timestamps, and resolved timestamps directly into your preferred analytics environment.
Marketing teams can analyze ticket volume trends to measure campaign impact on support demand, while data analysts build sophisticated churn prediction models using resolution times and interaction patterns. Operations managers benefit from tracking agent performance through status workflows and response metrics to optimize staffing levels. Customer success teams monitor account health by analyzing ticket frequency and resolution quality per account_id. Whether you need to monitor SLA compliance, optimize customer journey touchpoints, or identify at-risk accounts, this Hi Platform data empowers strategic decision-making across every department.
The Kondado platform takes care of refreshing Hi Platform data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing Hi Platform data in your report, spreadsheet, data warehouse, data lake, or database
Available Hi Platform Pipelines
The Tickets pipeline provides granular access to your complete customer service dataset, unlocking detailed insights through 220 available fields. Within this single comprehensive pipeline, you can leverage account_id fields to link tickets to specific customers, analyze status transitions to understand resolution workflows, and examine created_at and resolved_at timestamps to calculate precise handling durations. The interaction data reveals conversation patterns and escalation triggers, while ticket IDs enable unique case tracking across your entire support history. While Hi Platform provides one comprehensive pipeline, you can combine this support data with sales, marketing, or product usage sources to create unified 360-degree customer views that connect service experiences with business outcomes. With automated updates configurable from every 5 minutes to daily schedules, you can monitor critical support KPIs like ticket backlog trends, agent utilization rates, and resolution velocity as they evolve throughout the day.
Try out all the features for free for 14 days
Available Hi Platform data
Available integrations
| Integration | Description |
|---|---|
| Tickets | Table contains information about tickets, including fields such as id, account_id, and status, as well as interactions and timestamps like created_at and resolved_at. |
Try out all the features for free for 14 days
How to visualize Hi Platform data in 3 steps
Connect Hi Platform to dashboards, spreadsheets, or databases — no code required.
Add Hi Platform data source
Connect your Hi Platform account to Kondado by entering your API credentials in the data source setup page. This establishes the direct connection needed to access your Tickets data.
Select pipelines and destination
Choose the Tickets pipeline containing 220 fields and select where to send your data, such as BigQuery, PostgreSQL, Power BI, or Google Sheets.
Analyze in dashboards, sheets, or databases
Build custom reports in Looker Studio or Power BI, analyze trends in Google Sheets or Excel, or query structured data in BigQuery, PostgreSQL, MySQL, or Redshift to derive actionable insights from your support data.
Try out all the features for free for 14 days
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