How does Kondado replicate Wootric data to PostgreSQL?

Kondado establishes a direct connection to your Wootric account and extracts customer experience data through the available pipelines. The platform then loads this information into your specified PostgreSQL database on your chosen schedule, handling data type mapping and schema creation automatically.

What specific Wootric data fields are available in the PostgreSQL pipeline?

The End Users pipeline includes 22 distinct fields such as user ID, email address, phone number, and last surveyed date. These fields allow you to track customer contact information and survey engagement history directly within your PostgreSQL environment.

How often does Wootric data update in my PostgreSQL database?

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your analysis requirements. This near-real-time replication ensures your customer experience reports reflect the latest survey interactions without manual refresh processes.

Can I combine Wootric data with other sources in PostgreSQL?

Yes, you can load data from multiple Kondado pipelines into the same PostgreSQL database to create unified analytics environments. Additionally, you can send your consolidated data to Power BI , Looker Studio , or Google Sheets for visualization.

What PostgreSQL data types does Wootric data use?

Kondado automatically maps Wootric fields to appropriate PostgreSQL data types such as VARCHAR for email addresses and phone numbers, TIMESTAMP for last surveyed dates, and INTEGER for ID fields. This ensures your data maintains integrity and works seamlessly with standard SQL queries.

How do I query Wootric survey participation trends in PostgreSQL?

You can write SQL queries against the End Users pipeline to calculate metrics like average days since last survey or identify inactive user segments. These queries support custom retention dashboards and automated reporting workflows that track customer engagement patterns over time.

Can I send Wootric data from PostgreSQL to business intelligence tools?

Once your Wootric data is in PostgreSQL, you can connect it to Power BI , Looker Studio , or BigQuery for advanced visualization. This workflow allows you to build custom reports that combine customer experience metrics with operational data from other systems.

What happens when Wootric adds new fields to the End Users pipeline?

Kondado detects schema changes in your Wootric data source and can automatically update your PostgreSQL database to include new fields as they become available. This ensures your analytics infrastructure evolves with your customer experience management needs without requiring manual schema adjustments.

Send data from Wootric to PostgreSQL

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Send Wootric Data to PostgreSQL Automatically

Kondado connects your Wootric account to PostgreSQL, replicating customer experience data automatically on a configurable schedule. Simply authenticate your Wootric account as a data source, select which pipelines you need, and define your update frequency. Your survey responses and user profiles flow into PostgreSQL without manual exports or complex coding, ready for immediate analysis.

Kondado automatically replicates Wootric customer experience data to PostgreSQL on a configurable schedule, updating every 5 minutes, 15 minutes, hourly, or daily based on your needs.

With this automated connection, you maintain a centralized repository of customer feedback and user profiles in your PostgreSQL database. This enables you to run advanced SQL queries, combine Wootric insights with other business data, and build custom analytics workflows that drive retention and engagement strategies. Agency analysts and technical teams alike can leverage this automated data flow to eliminate manual reporting tasks and focus on deriving actionable insights from their customer experience metrics.

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Available Wootric Pipelines for PostgreSQL

The End Users pipeline captures comprehensive customer profile information including unique identifiers, contact details like phone numbers and email addresses, and engagement metadata such as last surveyed dates. Once replicated to PostgreSQL, you can segment your customer base by survey participation history, identify users who haven’t provided feedback recently, and correlate contact information with transaction records from other systems.

By maintaining this Wootric data in PostgreSQL, you create a foundation for custom churn prediction models and retention dashboards. Join your End Users data with sales figures or support tickets to calculate Net Promoter Score trends by customer segment, or build automated alerts that trigger outreach campaigns when high-value users show declining engagement signals.

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Wootric data available for PostgreSQL

available pipeline

extractable fields

Available integrations

Integration	Description
End Users	Table contains information about end users, including fields such as id, phone number, email, and last surveyed date.

End Users

Table contains information about end users, including fields such as id, phone number, email, and last surveyed date.

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How to send Wootric data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect Wootric as data source

Authenticate your Wootric account in Kondado by providing your API credentials to establish the connection.

Configure PostgreSQL destination

Enter your PostgreSQL connection details including host, database name, and credentials to designate where your Wootric data will replicate.

Select pipelines and schedule

Choose the End Users pipeline and configure your preferred replication frequency, such as every 5 minutes or hourly, to keep your database updated automatically.

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