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Export Pendo to Excel

Automate product analytics exports from Pendo to Excel with Coupler.io to maintain accurate, up-to-date usage data. Leverage Excel's powerful modeling tools and familiar interface for sophisticated behavioral analysis and reporting.

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

Collect data from Pendo and enrich it with information from other sources

Extract feature adoption metrics, guide performance data, and user behavior patterns from Pendo, then merge with data from business systems to create comprehensive Excel workbooks optimized for advanced product analytics and modeling.

Organize raw Pendo data in the form of a ready-to-use data set

Convert Pendo records into Excel-optimized formats with proper data types, pivot-table-ready structures, and formula-friendly layouts that support sophisticated analytics using Excel's powerful analytical capabilities.

Automate data refresh on a custom schedule

Maintain up-to-date Excel reports with automated refresh cycles from monthly to 15-minute intervals. Ensure your product models and analysis always reflect current Pendo data without manual export processes.

Connect Pendo data to AI to query and analyze data using natural language conversations

Access intelligent product insights through Coupler.io AI integrations. Talk to AI tools and ask natural language questions about your Pendo data to receive AI-powered analysis and recommendations for better decision-making.

Why export Pendo to Excel - real life cases

Feature adoption cohort analysis

Export visitor metadata, feature interactions, and account characteristics to Excel for sophisticated cohort analytics. Utilize Excel's advanced formulas and pivot tables to create automated adoption curve analysis and segmentation reporting, reducing manual analysis time from days to hours while maintaining detailed documentation.

Product roadmap prioritization modeling

Aggregate page view data, feature usage patterns, and guide effectiveness metrics from Pendo into Excel for data-driven prioritization frameworks. Build comprehensive scoring models tracking feature requests against actual usage, using Excel's analytical tools for weighted decision matrices with automated updates for strategic planning.

User engagement scoring and health monitoring

Export pages, features, and visitor metadata to Excel for detailed engagement scoring systems. Apply Excel's statistical functions to create customized health scores combining multiple behavioral signals, generating automated alerts for at-risk accounts approaching churn indicators based on declining activity patterns.

Onboarding effectiveness measurement

Create template-based Excel reports that automatically populate with guide completion data, feature adoption timelines, and account metadata for consistent onboarding analysis. Generate standardized time-to-value reports across customer segments while maintaining individual customizations and professional formatting standards.

How to export Pendo to Excel

Step 1. Connect to your Pendo account and select the data to export

30 seconds

Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.

30 seconds

Step 3. Connect your Excel account and specify where to load your data

30 seconds

Step 4. Schedule data refresh to automate data flow from Pendo to Excel

10 seconds

Bonus: Talk to AI about your Pendo data

Automate data exports with the no-code Pendo Excel integration

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Talk to AI about your Shortcut data

Integrate your Pendo data with conversational AI using Coupler.io to bridge the gap between traditional spreadsheet analysis and intelligent AI assistance. This allows you to explore new analytical approaches and generate recommendations through natural language conversations.

Examples of questions you can ask about Pendo data:

"Create a variance analysis between planned feature adoption targets and actual usage by segment"
"What's the trend in guide completion rates across different onboarding cohorts over time?"
"Identify accounts with declining page view patterns over the last six months and suggest interventions"
"Calculate engagement scores based on feature usage frequency, guide completion, and session depth"