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Integration
Pendo + BigQuery
Categories
Data
Type
API-enabled
Direction
Data Out
What is it?
Get read-only access to Pendo single event product data in BigQuery, then extract those detailed product analytics to compare alongside your other important data sources. By integrating Pendo and BigQuery, your data warehouse can become the source of truth for all important data across your business.
Access millisecond-level read-only data from Pendo to provide your data teams the level of detail they need for analysis.
Use connectors to pull single event data necessary for custom path analysis, churn prediction algorithms, and advanced ML models.
Who is it for?
- Data teams looking to access detailed product data to drive sophisticated analyses or data models
- Large teams using BigQuery to store and analyze data from multiple sources
Why is it awesome?
- Access detailed, millisecond level event information and non-aggregated events to enable even deeper path and funnel analysis, churn prediction, granular page load information, or anything else your team is looking to do with product-level click data.
- Analyze pendo product data in conjunction with other important business data to make product data a key driver of business decisions.
What's possible with Pendo + BigQuery
- Merge your Pendo single event data with other important data across your organization to get an accurate prediction of projected spend, churn, and more.
- Combine product usage data with sales and marketing data to get a granular view of important customers or prospects.
- Build detailed ML models with Pendo data to see where people fall off user journey, and identify critical paths for customer success.
Requirements
- This integration is available as a paid add-on for all Pendo subscriptions. Current customers: Contact your Pendo account representative to purchase.
- BigQuery instance
- Pendo admin access
- Third party connector tool: In order to extract event data from Pendo’s BigQuery instance, you will need a connector tool such as Tray or Zapier.
