Export Pendo to Power BI

Transform product usage data into advanced business intelligence with the Pendo to Power BI integration by Coupler.io. Build sophisticated analytical models using DAX calculations, time intelligence functions, and relationship-based analysis that connect behavioral patterns with business outcomes across your organization's reporting ecosystem.

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What data you can export from Pendo?

... and many more

All-in-one tool for Pendo data exports and analytics

Merge page views, feature clicks, and walkthrough metrics from Pendo with sales pipeline stages from CRMs, support case volumes from help desks, and revenue recognition schedules from ERP systems to construct unified semantic models that answer cross-functional business questions.

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Build star schema data models with fact tables containing Pendo interaction events connected to dimension tables for users, accounts, time periods, and features through properly defined relationships that unlock Power BI's full calculation engine capabilities.

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Configure scheduled refresh operations ranging from monthly data loads to 15-minute incremental updates that keep Power BI datasets synchronized with the latest behavioral signals from Pendo without manual import processes or stale metrics.

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Extend Power BI's analytical capabilities with Coupler.io AI integrations that let business users explore product data through conversational queries, receive insight recommendations, and get DAX formula suggestions without mastering technical calculation syntax.

Connect Pendo data to AI to query and analyze data using natural language conversations image
Collect data from Pendo and enrich it with information from other sources image
Organize raw Pendo data in the form of a ready-to-use data set image
Automate data refresh on a custom schedule image
Connect Pendo data to AI to query and analyze data using natural language conversations image

Why export Pendo to Power BI - real life cases

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Revenue impact attribution modeling

Construct multi-table models linking Pendo feature adoption events with opportunity close dates, contract values, and expansion revenue to calculate which product behaviors correlate with revenue growth. Build calculated measures showing how guide completion within the first 30 days influences lifetime value, identify which feature combinations predict upsell likelihood, and quantify the dollar impact of increased engagement across customer segments.
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Executive KPI monitoring with drill-through analysis

Design paginated reports showing C-level product health indicators with drill-through pathways that executives activate to investigate concerning trends. Start with high-level adoption scores and satisfaction proxies, then enable one-click navigation into feature-specific usage patterns, guide effectiveness breakdowns by persona type, or account-level engagement details when leadership wants to understand what's driving summary numbers.
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Cross-product usage correlation analysis

Aggregate Pendo data from multiple product lines into a single semantic model where DAX measures calculate cross-usage rates, feature affinity scores, and portfolio adoption indices. Identify which application combinations indicate strong engagement, measure whether users of Product A adopt Product B faster than standalone users, and build customer journey maps showing typical feature discovery sequences across your entire platform.
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Predictive churn modeling with behavioral signals

Combine Pendo engagement velocity metrics with subscription renewal data to train Power BI's machine learning visualizations predicting which accounts show elevated churn risk based on declining page views, reduced feature diversity, or guide dismissal patterns. Build automated alert systems that notify customer success when ML models detect early warning signals requiring intervention campaigns.

How to export Pendo to Power BI

Step 1. Connect to your Pendo account and select the data to export
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Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.
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Step 3. Load data to Power BI following the in-app instructions
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Step 4. Schedule data refresh to automate data flow from Pendo to Power BI
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Bonus: Talk to AI about your Pendo data

Automate data exports with the no-code Pendo Power BI integration

Quick start with dashboard templates

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Talk to AI about your Pendo data

Power BI's DAX language unlocks sophisticated calculations, but learning its syntax takes months of practice. Coupler.io AI integrations provide an alternative path where business analysts describe their calculation needs in plain English and receive working formulas, explanation of complex measures in simple terms, and recommendations for additional metrics that enhance existing reports without DAX mastery.

Examples of questions you can ask about Pendo data:
  • "Write a DAX measure calculating the percentage of enterprise accounts that adopted at least 5 features within their first quarter"
  • "Explain what factors contribute to the 23% variance between expected and actual guide completion rates shown in this visualization"
  • "Recommend three time intelligence calculations that would add value to this feature adoption dashboard for executive reviews"
  • "How should I model the relationship between Pendo events and our subscription table to enable accurate churn rate calculations?"
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Ready to connect Pendo to Power BI and automate your reporting?